WO2022062569A1 - Vehicle energy consumption scoring method and device - Google Patents

Vehicle energy consumption scoring method and device Download PDF

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Publication number
WO2022062569A1
WO2022062569A1 PCT/CN2021/105015 CN2021105015W WO2022062569A1 WO 2022062569 A1 WO2022062569 A1 WO 2022062569A1 CN 2021105015 W CN2021105015 W CN 2021105015W WO 2022062569 A1 WO2022062569 A1 WO 2022062569A1
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vehicle
energy consumption
influence
preset
working
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PCT/CN2021/105015
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French (fr)
Chinese (zh)
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何召华
刘真通
彭帅华
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华为技术有限公司
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Publication of WO2022062569A1 publication Critical patent/WO2022062569A1/en

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    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F30/00—Computer-aided design [CAD]
    • G06F30/20—Design optimisation, verification or simulation
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01C—MEASURING DISTANCES, LEVELS OR BEARINGS; SURVEYING; NAVIGATION; GYROSCOPIC INSTRUMENTS; PHOTOGRAMMETRY OR VIDEOGRAMMETRY
    • G01C22/00—Measuring distance traversed on the ground by vehicles, persons, animals or other moving solid bodies, e.g. using odometers, using pedometers
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F2119/00—Details relating to the type or aim of the analysis or the optimisation
    • G06F2119/08—Thermal analysis or thermal optimisation

Definitions

  • the present application relates to the field of vehicles, and more particularly, to a method and apparatus for scoring vehicle energy consumption.
  • the energy consumption of a vehicle is one of the important indicators for evaluating the new energy of a vehicle.
  • the energy consumption index of the vehicle is not only about the economy of the vehicle, but also reflects the comprehensive level of a car. At present, reducing vehicle energy consumption and improving vehicle driving economy is a hot issue in the field of vehicle energy consumption.
  • the traditional scoring method of vehicle energy consumption is to input the driving behavior data of the driver in the vehicle and the road data of the road the vehicle is traveling on into the energy consumption scoring model to calculate the vehicle energy consumption score within the preset trip.
  • the driving behavior data includes the frequency of the driver's acceleration and deceleration within the preset time period, the severity of the driver's acceleration and deceleration within the preset time period, and the like.
  • Road data includes road grade and road unevenness.
  • the present application provides a scoring method and device for vehicle energy consumption, so as to improve the accuracy of calculating the scoring accuracy of vehicle energy consumption within a preset trip.
  • a method for evaluating vehicle energy consumption including: acquiring a set of energy consumption influencing factors of a vehicle, the energy consumption influencing factor set including a first type of energy consumption influence factor and/or a second type of energy consumption influence
  • the first type of energy consumption influencing factor includes a window-opening influence parameter
  • the window-opening influence parameter is used to indicate the energy consumption of the vehicle caused by the wind resistance caused by the opening of the window of the vehicle within the preset trip.
  • the influence degree of the second type of energy consumption influence factor indicates the influence degree of the driving environment where the vehicle is located in the preset trip on the energy consumption of the vehicle; the energy consumption influence factor set is input into the energy consumption scoring model, Determine the scores corresponding to one or more types of energy consumption influencing factors in the set of energy consumption influencing factors, and the scores corresponding to the one or more types of energy consumption influencing factors are used to indicate the one type in the preset itinerary. or the degree of influence of multiple types of energy consumption influencing factors on the energy consumption of the vehicle.
  • the first type of energy consumption influence factor and/or the second type of energy consumption influence factor are input into the energy consumption scoring model to determine the first type of energy consumption influence factor and the second type of energy consumption influence factor
  • the corresponding score avoids ignoring the influence of the first type of energy consumption influence factor and the second type of energy consumption influence factor in the existing score calculation process, which is beneficial to improve the accuracy of the score for calculating the energy consumption of the vehicle within the preset itinerary.
  • the second type of energy consumption influence factor includes one or more factors among the unsuitability influence parameters of external temperature, weather influence parameters, day and night influence parameters or wind speed influence parameters, wherein the The influence parameter of the unsuitable degree of outside temperature is used to indicate the influence degree of the ambient temperature outside the preset suitable temperature range in the preset trip on the working state of the vehicle, and the weather influence parameter is used to indicate the pre-set distance.
  • the influence parameter of the unsuitable degree of outside temperature is used to indicate the influence degree of the ambient temperature outside the preset suitable temperature range in the preset trip on the working state of the vehicle
  • the weather influence parameter is used to indicate the pre-set distance.
  • the day and night influence parameter is used to indicate the degree of influence of the day and night environment on the working state of the vehicle in the preset itinerary
  • the wind speed influence parameter is used to indicate The degree of influence of the wind speed within the preset range on the working state of the vehicle.
  • the second type of energy consumption influencing factor includes one or more factors among parameters affecting the unsuitability of external temperature, weather influencing parameters, day and night influencing parameters, or wind speed influencing parameters, which is beneficial to improve the calculation of the preset itinerary.
  • the accuracy of the rating of the energy consumption of the vehicle is beneficial to improve the calculation of the preset itinerary.
  • the external temperature unsuitability influencing parameter is obtained by performing linear normalization processing on external temperature unsuitability data, where the external temperature unsuitability data includes the external ambient temperature of the vehicle .
  • the external ambient temperature of the vehicle is normalized to obtain the influence parameter of the unsuitability of the external temperature, that is, the dimensioned external ambient temperature is converted into a dimensionless score, so that the driver can determine by scoring
  • the unsuitable degree of outside temperature affects the influence of parameters on vehicle energy consumption within the preset range.
  • the unsuitability of the external temperature affects the parameter x 11 through the formula sure
  • T1 represents the preset lower limit of the suitable working temperature range of the component
  • T2 represents the preset upper limit of the suitable working temperature range of the component
  • n represents the total number of sampling points in the preset stroke
  • i represents the ith sampling point within the preset itinerary
  • i 1,2,...,n
  • ⁇ t max is a preset value
  • t i represents the exterior of the vehicle collected at the ith sampling point ambient temperature.
  • determining the influence parameter of the unsuitability degree of the external temperature based on the suitable working temperature range of the components in the vehicle and the external ambient temperature of the vehicle is beneficial to improve the rationality of calculating the influence parameter of the unsuitability degree of the external temperature.
  • the weather influence parameter is obtained by performing linear normalization processing on weather influence data, where the weather influence data includes one or more working data of the wiper of the vehicle within the preset trip. number of gears, and the working time of the wiper in each gear within the preset stroke.
  • the weather influence parameters are obtained, that is, the dimensional weather influence data is converted into dimensionless Score, so that the driver can determine the impact of the weather influence parameters on the vehicle energy consumption within the preset trip through the score.
  • the first working gear is the working gear that consumes the largest energy consumption of the vehicle among all the working gears of the wiper
  • Tmax represents the total energy required for the vehicle to travel the preset travel. duration.
  • the weather-influenced parameters are calculated by the above formula, which is beneficial to improve the rationality of the calculation of the weather-influenced parameters.
  • the day and night influence parameters are obtained by performing linear normalization processing on day and night influence data
  • the day and night influence data includes one of the working lights of the vehicle within the preset itinerary. or multiple gears, and the working time of the vehicle light in each gear within the preset travel.
  • the circadian influence parameter is obtained by normalizing the circadian influence data, that is, the dimensional circadian influence data is converted into a dimensionless score, so that the driver can determine the circadian influence parameter through the score. Set the impact on vehicle energy consumption during the trip.
  • the power consumption required for the lamp to work in the second working gear, the second working gear is the working gear that consumes the largest energy consumption of the vehicle among all the working gears of the vehicle lamp, T max Indicates the total time required for the vehicle to travel the preset trip.
  • calculating the circadian influence parameter by the above formula is beneficial to improve the rationality of calculating the circadian influence parameter.
  • the wind speed influence parameter is obtained by performing non-linear normalization processing on wind speed influence data, and the wind speed influence data includes the projection of the wind speed within the preset trip on the heading of the vehicle the resulting velocity component.
  • the wind speed influence parameters are obtained by performing nonlinear normalization on the wind speed influence data, that is, the dimensional wind speed influence data is converted into a dimensionless score, so that the driver can determine the wind speed influence parameters through the score. Influence on vehicle energy consumption during preset trips.
  • calculating the wind speed influence parameter by the above formula is beneficial to improve the rationality of calculating the wind speed influence parameter.
  • the windowing influence parameter is obtained by performing linear normalization processing on the windowing influence data
  • the windowing influence data includes one or more kinds of data collected within the preset mileage.
  • the window opening and closing state combination of the vehicle includes the opening and closing state of each vehicle window in the vehicle.
  • the windowing influence parameters are obtained by performing linear normalization on the windowing influence data, that is, the dimensional windowing influence data is converted into a dimensionless score, so that the driver can determine the opening of the window through the score.
  • the calculation of the window-opening influence parameter by the above formula is beneficial to improve the rationality of the calculation of the window-opening influence parameter.
  • a method for training an energy consumption scoring model including: acquiring a training data set, where the training data set includes a first type of energy consumption impact factor and/or a second type of energy consumption impact factor, and the first type of energy consumption impact factor is One type of energy consumption influencing factor includes a window opening influence parameter, and the window opening influence parameter is used to indicate the degree of influence on the energy consumption of the vehicle caused by the size of the wind resistance caused by the opening of the window of the vehicle within the preset trip.
  • the second type of energy consumption influencing factor indicates the degree of influence of the driving environment where the vehicle is located in the preset trip on the energy consumption of the vehicle; the above training data set is input into the original energy consumption scoring model to obtain the energy consumption scoring model,
  • the energy consumption scoring model is used to calculate the scores corresponding to the first type of energy consumption influence factor and/or the second type of energy consumption influence factor, and the first type of energy consumption influence factor and/or the second type of energy consumption influence factor
  • the score corresponding to the factor is used to indicate the degree of influence of the first type of energy consumption influence factor and/or the second type of energy consumption influence factor on the energy consumption of the vehicle within the preset trip.
  • the energy consumption scoring model is obtained by inputting the first type of energy consumption influence factor and/or the second type of energy consumption influence factor into the original energy consumption scoring model for training. It is beneficial to improve the accuracy of the score for calculating the energy consumption of the vehicle within the preset itinerary.
  • the method further includes: if the error of the energy consumption model is higher than a preset value, updating the energy consumption scoring model.
  • the energy consumption scoring model is updated, which is beneficial to improve the accuracy of the energy consumption scoring model.
  • the energy consumption model error ⁇ can be calculated by the formula Determine, where N represents the total number of samples in the training set, C i-honst represents the actual value of the vehicle's historical energy consumption during the trip, and C i-predict represents the predicted value of the vehicle's historical energy consumption during the trip.
  • the second type of energy consumption influence factor includes one or more factors among the unsuitability influence parameters of external temperature, weather influence parameters, day and night influence parameters or wind speed influence parameters, wherein the The influence parameter of the unsuitable degree of outside temperature is used to indicate the influence degree of the ambient temperature outside the preset suitable temperature range in the historical travel on the working state of the vehicle, and the weather influence parameter is used to indicate the weather in the historical travel.
  • the degree of influence on the working state of the vehicle, the day and night influence parameter is used to indicate the degree of influence of the day and night environment on the working state of the vehicle in the historical trip, and the wind speed influence parameter is used to indicate the historical trip. The degree of influence of wind speed on the working state of the vehicle.
  • the above-mentioned historical itinerary is a segment of the previous itinerary before the above-mentioned preset itinerary.
  • the second type of energy consumption influence factor includes one or more factors among the unsuitability influence parameters of external temperature, weather influence parameters, day and night influence parameters, or wind speed influence parameters, which is beneficial to improve the calculation of historical travel time.
  • the accuracy of the rating of the vehicle's energy consumption is beneficial to improve the calculation of historical travel time.
  • the external temperature unsuitability influencing parameter is obtained by performing linear normalization processing on external temperature unsuitability data, where the external temperature unsuitability data includes the external ambient temperature of the vehicle .
  • the external ambient temperature of the vehicle is normalized to obtain the influence parameter of the unsuitability of the external temperature, that is, the dimensioned external ambient temperature is converted into a dimensionless score, so that the driver can determine by scoring The influence of the unsuitable degree of outside temperature on the vehicle energy consumption in the historical journey.
  • the unsuitability of the external temperature affects the parameter x 11 through the formula sure, and
  • T1 represents the preset lower limit of the suitable working temperature range of the component
  • T2 represents the preset upper limit of the suitable working temperature range of the component
  • n represents the total number of sampling points in the historical trip
  • i represents the ith sampling point in the historical trip
  • i 1, 2,...,n
  • ⁇ t max is a preset value
  • t i represents the external ambient temperature of the vehicle collected at the ith sampling point .
  • determining the influence parameter of the unsuitability degree of the external temperature based on the suitable working temperature range of the components in the vehicle and the external ambient temperature of the vehicle is beneficial to improve the rationality of calculating the influence parameter of the unsuitability degree of the external temperature.
  • the weather influence parameter is obtained by performing linear normalization processing on weather influence data, where the weather influence data includes one or more working wipers of the vehicle in the historical itinerary gears, and the working time of the wiper in each gear within the historical travel.
  • the weather influence parameters are obtained, that is, the dimensional weather influence data is converted into dimensionless Scoring so that drivers can determine the impact of weather-influenced parameters on vehicle energy consumption during historical trips.
  • the first working gear is the working gear that consumes the largest energy consumption of the vehicle among all the working gears of the wiper
  • Tmax represents the total time required for the vehicle to travel the historical trip .
  • the weather influence parameter is calculated by the above formula, which is beneficial to improve the rationality of the calculation of the weather influence parameter.
  • the day and night influence parameters are obtained by performing linear normalization processing on day and night influence data
  • the day and night influence data includes one or more working lights of the vehicle in the historical itinerary.
  • the circadian influence parameter is obtained by normalizing the circadian influence data, that is, the dimensional circadian influence data is converted into a dimensionless score, so that the driver can determine the circadian influence parameter through the score. The impact on vehicle energy consumption during the trip.
  • the power consumption required for the lamp to work in the second working gear, the second working gear is the working gear that consumes the largest energy consumption of the vehicle among all the working gears of the vehicle lamp, T max Indicates the total time required for the vehicle to travel the historical trip.
  • calculating the circadian influence parameter by the above formula is beneficial to improve the rationality of calculating the circadian influence parameter.
  • the wind speed influence parameter is obtained by performing non-linear normalization on wind speed influence data, and the wind speed influence data includes the historical in-travel wind speed projected on the heading of the vehicle. the velocity component.
  • the wind speed influence parameters are obtained by performing nonlinear normalization on the wind speed influence data, that is, the dimensional wind speed influence data is converted into a dimensionless score, so that the driver can determine the wind speed influence parameters through the score. Impact on vehicle energy consumption during historical trips.
  • calculating the wind speed influence parameter by the above formula is beneficial to improve the rationality of calculating the wind speed influence parameter.
  • the windowing influence parameter is obtained by performing linear normalization processing on the windowing influence data
  • the windowing influence data includes one or more kinds of data collected within the preset mileage.
  • the window opening and closing state combination of the vehicle includes the opening and closing state of each vehicle window in the vehicle.
  • the windowing influence parameters are obtained by performing linear normalization on the windowing influence data, that is, the dimensional windowing influence data is converted into a dimensionless score, so that the driver can determine the opening of the window through the score.
  • the calculation of the window-opening influence parameter by the above formula is beneficial to improve the rationality of the calculation of the window-opening influence parameter.
  • an apparatus for scoring vehicle energy consumption including each unit for implementing the first aspect or any possible implementation manner of the first aspect.
  • an apparatus for scoring energy consumption of a vehicle including each unit for implementing the second aspect or any possible implementation manner of the second aspect.
  • a computing device in a fifth aspect, has the function of implementing the apparatus in the method design of the first aspect.
  • These functions can be implemented by hardware or by executing corresponding software by hardware.
  • the hardware or software includes one or more units corresponding to the above functions.
  • a computing device in a sixth aspect, has the function of implementing the apparatus in the method design of the second aspect.
  • These functions can be implemented by hardware or by executing corresponding software by hardware.
  • the hardware or software includes one or more units corresponding to the above functions.
  • a computing device including an input-output interface, a processor, and a memory.
  • the processor is used to control the input and output interface to send and receive signals or information
  • the memory is used to store a computer program
  • the processor is used to call and run the computer program from the memory, so that the computing device executes the method in the first aspect.
  • a computing device including an input-output interface, a processor, and a memory.
  • the processor is used to control the input and output interface to send and receive signals or information
  • the memory is used to store a computer program
  • the processor is used to call and run the computer program from the memory, so that the computing device executes the method in the second aspect.
  • a computer program product comprising: computer program code, when the computer program code is executed on a computer, causing the computer to execute the methods in the above aspects.
  • a computer-readable medium stores program codes, which, when executed on a computer, cause the computer to execute the methods in the above-mentioned aspects.
  • a chip system in an eleventh aspect, includes a processor for a computing device to implement the functions involved in the above aspects, for example, generating, receiving, sending, or processing data and data involved in the above methods. / or information.
  • the chip system further includes a memory for storing necessary program instructions and data of the computing device.
  • the chip system may be composed of chips, or may include chips and other discrete devices.
  • FIG. 1 is a schematic diagram of a system architecture to which an energy consumption scoring model according to an embodiment of the present application is applicable.
  • FIG. 2 is a schematic flowchart of a method for scoring vehicle energy consumption according to an embodiment of the present application.
  • FIG. 3 is a schematic flowchart of calculating scores of five energy consumption influencing factors according to an embodiment of the present application.
  • FIG. 4 is a schematic diagram of a user interface according to an embodiment of the present application.
  • FIG. 5 is a schematic diagram of a user interface according to another embodiment of the present application.
  • FIG. 6 is a schematic diagram of a system architecture to which an embodiment of the present application is applicable.
  • FIG. 7 is a schematic flowchart of a training method for an energy consumption scoring model according to an embodiment of the present application.
  • FIG. 8 is a schematic diagram of a vehicle energy consumption scoring device according to an embodiment of the present application.
  • FIG. 9 is a schematic block diagram of a computing device according to another embodiment of the present application.
  • the system 100 shown in FIG. 1 includes an execution device 210 , a training device 220 , a database 230 , a client device 240 , a data storage system 250 , and a data acquisition device 260 .
  • the data collection device 260 is used to collect vehicle energy consumption impact data and store it in the database 230 .
  • the target models/rules obtained by training the device 220 can be applied in different systems or devices.
  • the above-mentioned target model/rule may be applied to an in-vehicle device.
  • the execution device 210 can call data, codes, etc. in the data storage system 250 , and can also store data, instructions, etc. in the data storage system 250 .
  • the foregoing execution device 210 may include a computing module 211 and an input/output (input/output, I/O) interface 212 .
  • the I/O interface 212 is used for data interaction with external devices, and the “user” can input data to the I/O interface 212 through the client device 240 .
  • the above-mentioned client device 240 may be a data collection device in the vehicle 260 .
  • the calculation module 211 uses the target model/rule 201 to process the energy consumption influence factors of the vehicle to determine a score corresponding to each energy consumption influence factor, wherein the score corresponding to each energy consumption influence factor is used to indicate the pair of energy consumption influence factors. The impact of vehicle energy consumption.
  • the I/O interface 212 returns the processing result to the client device 240, which is provided to the user.
  • the above-mentioned client equipment 240 may be a display device in the vehicle, so as to remind the user of the score corresponding to each energy consumption influencing factor through the display device.
  • the above-mentioned client device 240 may also be a display device of a driver's terminal device bound to the vehicle, which is not limited in this embodiment of the present application.
  • the above-mentioned terminal device may be a mobile phone, a tablet computer, a notebook computer, or the like.
  • a user may manually specify data in input execution device 210 , eg, to operate in an interface provided by I/O interface 212 .
  • the client device 240 can automatically input data to the I/O interface 212 and obtain the result. If the client device 240 automatically inputs data and needs to obtain the user's authorization, the user can set the corresponding permission in the client device 240 .
  • the user can view the result output by the execution device 210 on the client device 240, and the specific presentation form can be a specific manner such as display, sound, and action.
  • the client device 240 can also act as a data collection end to store the characteristic data of the collected messages into the database 230 .
  • FIG. 1 is only a schematic diagram of a system architecture provided by an embodiment of the present invention, and the positional relationship between the devices, devices, modules, etc. shown in FIG. 1 does not constitute any limitation.
  • the data The storage system 250 is an external memory relative to the execution device 210 , and in other cases, the data storage system 250 may also place the data storage system 250 in the execution device 210 .
  • the above-mentioned execution device 210 , data storage system 250 and client device 240 may be devices configured in the vehicle 260 .
  • the traditional scoring method of vehicle energy consumption is to input the driving behavior data of the driver in the vehicle and the road data of the road the vehicle travels into the energy consumption scoring model to calculate the vehicle energy consumption score within the preset trip.
  • the driving behavior data includes the frequency of the driver's acceleration and deceleration within the preset time period, the severity of the driver's acceleration and deceleration within the preset time period, and the like.
  • Road data includes road grade and road unevenness.
  • an embodiment of the present application provides a new scoring method for vehicle energy consumption, that is, based on the factors affecting vehicle energy consumption in the current vehicle, the energy consumption influencing factor is readjusted.
  • the above-mentioned energy consumption influencing factors are mainly divided into five categories, and the above-mentioned five types of energy consumption influencing factors are introduced first.
  • the first type of energy consumption influence factor x 1 an environmental influence factor, which is used to indicate the degree of influence on the energy consumption of the vehicle by the driving environment where the vehicle is located within the preset trip.
  • the environmental influence factors mainly include one or more of the influence parameters of the unsuitability of the external temperature, the weather influence parameters, the day and night influence parameters or the wind speed influence parameters. The following describes the above four environmental impact parameters respectively.
  • the influence parameter of the unsuitable degree of external temperature which is used to indicate the influence degree of the ambient temperature outside the preset suitable temperature range within the preset travel on the working state of the components in the vehicle.
  • the outside temperature directly affects whether components in the vehicle are cooled or heated.
  • the vehicle when the external temperature is too low, in order to provide a suitable working temperature for the components in the vehicle, the vehicle needs to consume a certain amount of energy to heat up the components in the vehicle.
  • the external temperature when the external temperature is too high, in order to provide a suitable working temperature for the components in the vehicle, the vehicle needs to consume a certain amount of energy to cool the components in the vehicle. Therefore, the influence parameters of the unsuitable degree of external temperature on the energy consumption of the vehicle are more important.
  • the unsuitability data includes the ambient temperature outside the vehicle within the preset trip.
  • T 1 represents the lower limit of the suitable working temperature range of the components in the vehicle
  • T 2 represents the upper limit of the suitable working temperature range of the above-mentioned components.
  • the suitable working temperature range corresponding to the component is [T 1 , T 2 ].
  • the influence parameter x 11 of the unsuitable degree of external temperature can be calculated by the formula sure, and Wherein, ⁇ t max is a preset value, n represents the total number of sampling points in the preset stroke, i represents the ith sampling point in the preset stroke, and t i represents all the sampling points collected at the ith sampling point.
  • ⁇ t max can be configured for the vehicle by the manufacturer when the vehicle leaves the factory. Further, the manufacturer can set it based on the normal driving environment of the vehicle. For example, the normal driving environment of the vehicle is China, and the above ⁇ t max may be set to 50 degrees Celsius.
  • the above-mentioned components in a vehicle may refer to relatively important components in a vehicle, such as an engine and the like.
  • the above-mentioned components in a vehicle may also refer to multiple or all components in a vehicle, which are not limited in the embodiments of the present application.
  • the appropriate external temperature ranges corresponding to different components may be different.
  • the same suitable external temperature range may be configured for multiple or all components, which is not limited in this embodiment of the present application.
  • the weather influence parameter is used to indicate the influence degree of the weather in the preset trip on the working state of the vehicle.
  • the influence of the weather influence parameters on the energy consumption of the vehicle can be regarded as linear, and the weather influence parameters can be obtained by performing linear normalization on the weather data of the vehicle, wherein the weather influence data includes the wipers of the vehicle within the preset itinerary.
  • the working gear or gears, and the working time of the wiper in each gear within the preset stroke are the weather influence parameters on the energy consumption of the vehicle.
  • the weather data can be collected based on the sensors in the vehicle.
  • the working gear of the wiper can be adjusted. , and the working hours corresponding to each gear as the above weather data.
  • energy consumption T max represents the total time required for the vehicle to travel the preset trip
  • the first working gear is the working gear that consumes the largest energy consumption of the vehicle among all the working gears of the wiper.
  • the weather data may also be based on the working state data of other weather-related components in the vehicle, for example, the working state data of the rear window heating device may also be used as the weather data, and for example , and can also integrate the working status data of the rear window heating device and the wiper as weather data.
  • This embodiment of the present application does not limit this.
  • the day and night influence parameter is used to indicate the influence degree of the day and night environment on the working state of the vehicle within the preset itinerary.
  • the influence of the day and night influence parameters on the energy consumption of the vehicle can be regarded as linear, and the day and night influence parameters can be obtained by linearly normalizing the day and night data of the vehicle.
  • the day and night influence data includes one or more gears in which the lights of the vehicle work in the preset trip, and the working time of the lights in each gear in the preset trip.
  • day and night data can be collected based on the sensors in the vehicle.
  • the headlights of the car can be used.
  • the working gears and the working hours corresponding to each gear are used as the above day and night data.
  • the working state data of other components related to day and night in the vehicle can also be used as the day and night data.
  • the working state data of the tail lights of the vehicle can also be used as the day and night data.
  • the working status data of taillights and headlights can be integrated as day and night data. This embodiment of the present application does not limit this.
  • the wind speed influence parameter is used to indicate the influence degree of the wind speed in the preset trip on the working state of the vehicle.
  • the influence of the wind speed influence parameter on the energy consumption of the vehicle can be regarded as nonlinear, and the wind speed influence parameter can be obtained by performing nonlinear normalization processing on the wind speed data of the vehicle.
  • the wind speed can be projected onto the heading of the vehicle to obtain the speed component as wind speed data to determine the wind speed influence parameter.
  • the second type of energy consumption influence factor x 2 a comfort habit influence factor, which is used to indicate the degree of influence of the driver's demand for the comfort of the driving environment on the energy consumption of the vehicle within the preset itinerary.
  • the driver adjusts the working state of the components in the vehicle in order to improve the driving comfort.
  • the driver can control the opening and closing of the windows, the driver can control the working state of the air conditioner, and the driver can adjust the seat temperature.
  • the following mainly introduces the influence of the driver's control of the opening and closing of the window on the energy consumption of the vehicle, and the influence of the working state of the air conditioner in the vehicle on the energy consumption of the vehicle.
  • the influence of the working state of the air conditioner on the energy consumption of the vehicle can be refined as follows There are three aspects: the influence parameter of air conditioning dependence, the influence parameter of air conditioning temperature preference degree and the influence parameter of air conditioning windshield preference degree.
  • Window opening affects parameters.
  • the resistance encountered by the vehicle during driving is relatively large.
  • the driver controls the window to be closed the resistance encountered by the vehicle during driving is relatively small. . Therefore, the influence parameters of window opening have a great influence on the energy consumption of the vehicle.
  • the window-opening influence parameter on the energy consumption of the vehicle can be regarded as linear
  • the window-opening influence parameter can be obtained by linearly normalizing the window-opening data of the vehicle
  • the window-opening data of the vehicle includes the pre- One or more window opening and closing state combinations of the vehicle collected within the mileage are assumed, and the vehicle window opening and closing state combinations include the opening and closing states of each vehicle window in the vehicle.
  • the combination of vehicle window opening and closing states collected at a certain collection time within the preset mileage includes vehicle door and window 1 being closed, vehicle door and window 2 being open, vehicle door and window 3 being closed, and vehicle door and window 4 being closed condition.
  • vehicle window of the vehicle may include not only the door and window of the vehicle, but also the sunroof of the vehicle, etc., which is not limited in the embodiment of the present application.
  • the power consumption of the vehicle Tmax represents the total time required for the vehicle to travel the preset trip, and the first opening and closing state combination is the largest energy consumption among all opening and closing state combinations of the windows in the vehicle combination of opening and closing states.
  • the air conditioner depends on the influence parameter, which is used to indicate the degree of influence of the working time of the air conditioner on the energy consumption of the vehicle within the preset trip. The longer the working time of the air conditioner in the preset trip, the greater the energy consumption of the vehicle. Therefore, the air-conditioning dependence factor has a greater impact on the energy consumption of the vehicle.
  • the above-mentioned air conditioner-dependent influence parameter x 22 can be calculated by the formula Determine, wherein, M represents the total driving time required for the vehicle to travel the preset mileage, and t c represents the total time that the air conditioner is in the working state within the preset mileage.
  • the air conditioner temperature preference degree influence parameter which is used to indicate the influence degree of the working temperature of the air conditioner on the energy consumption of the vehicle within the preset trip.
  • the above-mentioned air conditioner temperature preference degree influence parameter x 23 can be calculated by the formula Determine, where n represents the total number of sampling points in the preset itinerary, T ci represents the working temperature of the air conditioner collected at the ith sampling point, T cmax represents the maximum temperature limit value of the air conditioner, and T cmin represents the air conditioner’s maximum temperature.
  • C i and H i may have two values of 0 or 1.
  • the air-conditioning windshield preference degree influence parameter is used to indicate the influence of the working gear of the air-conditioning windshield on the energy consumption of the vehicle within the preset travel.
  • the influence of the air-conditioning windshield preference degree influencing parameter on the energy consumption of the vehicle can be regarded as linear, and the air-conditioning windshield preference degree influencing parameter can be obtained by linearly normalizing the air-conditioning windshield data.
  • the wind speed is the power consumption required by the air conditioner in the c-th gear
  • T c represents the working time of the air conditioner in the c-th gear within the preset stroke
  • S Cmax represents the air-conditioning wind speed per unit time.
  • Tmax represents the total driving time required for the vehicle to travel the preset trip
  • the third working gear is consumed in all gears of the windshield of the air conditioner The gear of the vehicle that consumes the most energy.
  • the third type of energy consumption influence factor x 3 a driving behavior influence factor, which is used to indicate the degree of influence of the driver's driving behavior on the energy consumption of the vehicle within the preset itinerary.
  • the driving behavior influencing factors mainly include one or more of the parameters affecting the frequency of acceleration and deceleration, the parameters affecting the severity of acceleration and deceleration, the parameters affecting the duration of non-economic vehicle speed, or the parameters affecting high speed. The following describes the above four environmental impact parameters respectively.
  • the influence parameter of the frequency of acceleration and deceleration which is used to indicate the influence of the frequency of acceleration and deceleration of the driver on the energy consumption of the vehicle within the preset itinerary.
  • the data on the frequency of acceleration and deceleration may include the length of time during which the vehicle exceeds the first gentle speed interval within the preset travel, and the travel time required for the vehicle to travel the preset mileage.
  • the above-mentioned acceleration and deceleration frequency influence parameter x 31 may be determined based on the ratio of the acceleration and deceleration duration of the vehicle beyond the first acceleration and deceleration gentle interval within the preset trip to the running duration required for the vehicle to travel the preset mileage.
  • first acceleration/deceleration gentle interval may be preset by the manufacturer, which is not specifically limited in the embodiment of the present application.
  • the acceleration/deceleration severity data may include the time period during which the vehicle's speed change is outside the second acceleration/deceleration gentle interval within the preset travel, and the distribution probability of the vehicle's speed change within the preset travel.
  • the above-mentioned acceleration and deceleration severity influence parameter x 32 may be determined based on the ratio of the sum of the absolute values of acceleration and deceleration of the vehicle beyond the gentle speed interval within the preset travel to the whole.
  • first acceleration/deceleration gentle interval and the second acceleration/deceleration gentle interval may be the same interval, or may be different intervals, which are not limited in this embodiment of the present application.
  • second acceleration/deceleration gentle interval may be configured by a manufacturer, or configured based on the relationship between historical speed and energy consumption, which is not specifically limited in this embodiment of the present application.
  • the non-economic vehicle speed duration influence parameter which is used to indicate the degree of influence on vehicle energy consumption of the vehicle running at the vehicle speed within the first non-economic speed interval within the preset trip.
  • the non-economic vehicle speed duration data may include the duration of the vehicle running at the vehicle speed within the first non-economic speed interval within the preset itinerary.
  • the above-mentioned non-economic vehicle speed duration influence parameter x 33 may be determined based on the proportion of the vehicle's running duration beyond the economical speed interval within the duration required for the vehicle to travel the preset itinerary.
  • the energy consumed by the vehicle at the vehicle speed in the first economic speed interval is less than the energy consumed by the vehicle at the vehicle speed in the first non-economic speed interval, which is not limited in this embodiment of the present application.
  • first economic speed interval may be configured by a manufacturer, or configured based on the relationship between historical speed and energy consumption, which is not specifically limited in this embodiment of the present application.
  • the influence parameter of non-economic vehicle speed mileage which is used to indicate the degree of influence of the vehicle mileage on vehicle energy consumption within the preset trip according to the vehicle speed within the second non-economic speed interval.
  • the influence parameters of non-economic speed and mileage have a great influence on the energy consumption of the vehicle.
  • the influence of the non-economic speed mileage influence parameter on the vehicle's energy consumption can be regarded as linear, and the non-economic speed mileage influence parameter can be obtained by linearly normalizing the non-economic speed mileage data.
  • the mileage data at non-economic speed may include the mileage that the vehicle travels at the vehicle speed within the second non-economic speed interval within the preset itinerary.
  • the above-mentioned non-economic vehicle speed driving mileage influence parameter x 34 may be determined based on the proportion of the vehicle's driving mileage exceeding the economical speed interval within the preset mileage of the vehicle traveling.
  • the energy consumed by the vehicle at the vehicle speed in the second economic speed interval is less than the energy consumed by the vehicle at the vehicle speed in the second non-economic speed interval, which is not limited in this embodiment of the present application.
  • the above economic speed interval may be configured by a manufacturer, or configured based on the relationship between historical speed and energy consumption, which is not specifically limited in this embodiment of the present application.
  • the fourth type of energy consumption influencing factor x 4 a vehicle operating condition influencing factor, which is used to indicate the degree of influence of the operating conditions of the vehicle on the energy consumption of the vehicle within the preset trip.
  • the influencing factors of vehicle working conditions mainly include parameters affecting vehicle load or affecting parameters of vehicle aging degree.
  • the vehicle load influence parameter is used to indicate the influence of the vehicle load on the energy consumption of the vehicle within the preset trip. The heavier the vehicle load within the preset trip, the greater the energy consumption of the vehicle. Therefore, the influence parameters of the vehicle load have a greater influence on the energy consumption of the vehicle.
  • the vehicle load data may include the vehicle load within the preset trip.
  • the above-mentioned vehicle load influence parameter x 41 can be calculated by the formula Determine, where G represents the weight of the vehicle within the preset travel, and G c represents the factory rated weight of the entire vehicle within the preset travel.
  • the influence parameter of the vehicle aging degree which is used to indicate the influence of the vehicle aging degree on the energy consumption of the vehicle within the preset trip.
  • the more serious the aging degree of the vehicle within the preset trip the greater the energy consumption of the vehicle.
  • vehicle aging causes a reduction in the efficiency of the power transmission of the components in the vehicle, and part of the power is lost in the transmission process. Therefore, the influence parameters of the vehicle load have a greater influence on the energy consumption of the vehicle.
  • the vehicle aging data may include the total mileage (O) of the vehicle and the vehicle age (m).
  • the fifth type of energy consumption influence factor x 5 a road condition influence factor, which is used to indicate the degree of influence of road conditions on the vehicle's energy consumption within the preset itinerary.
  • the road condition influencing factors mainly include road grade influence parameters or road undulation degree influence parameters.
  • the road level influence parameter is used to indicate the influence of the road level within the preset trip on the energy consumption of the vehicle.
  • the higher the road class within the preset trip the greater the amount of energy consumed by the vehicle. Wherein, the higher the road level corresponds to the worse the driving condition of the road. Therefore, the road level influence parameter has a great influence on the energy consumption of the vehicle.
  • the influence of the road level influence parameter on the energy consumption of the vehicle can be regarded as linear, and the road level influence parameter can be obtained by performing linear normalization processing on the road level data.
  • the road level data may include the duration that the vehicle travels on each level of road within the preset itinerary.
  • the power consumption of , T r represents the duration of the vehicle driving on the road of the rth level
  • P rmax represents the power consumption required for the vehicle to drive on the road of the first road level per unit time
  • the first road level is the road with the largest energy consumption required for the vehicle to travel in all road levels
  • Tmax represents the total travel time required for the vehicle to travel the preset trip.
  • the road undulation degree influence parameter is used to indicate the influence of the road undulation degree of the road on which the vehicle travels within the preset trip on the energy consumption of the vehicle. The longer the section of the road on which the vehicle travels within the preset travel needs to be climbed, the greater the energy consumption of the vehicle. Therefore, the road undulation degree influencing parameter has a great influence on the energy consumption of the vehicle.
  • the influence of the road undulation degree influencing parameter on the energy consumption of the vehicle can be regarded as linear, and the road undulation degree influencing parameter can be obtained by linearly normalizing the road undulation data.
  • the road undulation data may include a gradient interval probability and an average value of the gradient interval within the preset itinerary.
  • the above-mentioned road undulation degree influence parameter x 52 can be calculated by the formula Determine, where, [slope min , slope max ] is the preset smooth range of road fluctuations, slope min represents the lower limit of the slope range within the preset itinerary, slope max represents the upper limit of the slope range within the preset itinerary, and P slopei represents the i-th segment
  • the slope interval probability of , S i represents the mean value of the slope interval.
  • the above-mentioned road fluctuation and stable interval may be configured by the manufacturer, or configured based on the relationship between historical speed and energy consumption, which is not specifically limited in this embodiment of the present application.
  • the energy consumption influencing parameters proposed by the embodiments of the present application are respectively described above from five dimensions, and the scoring method of vehicle energy consumption in the embodiments of the present application is described below with reference to FIG. 2 .
  • FIG. 2 is a schematic flowchart of a method for scoring vehicle energy consumption according to an embodiment of the present application.
  • the method shown in FIG. 2 may be executed by the execution device 210 shown in FIG. 1 .
  • the method shown in FIG. 2 includes step 210 and step 220 .
  • the above set of energy consumption influencing factors may be one or more of the five types of energy consumption influencing factors introduced above.
  • specific meanings of different types of energy consumption factors please refer to the above introduction. For brevity, they will not be repeated here. .
  • the above step 210 further includes: acquiring an energy consumption impact data set; by performing normalization processing on the data in the energy consumption impact data set, to obtain the above energy consumption impact parameter set, wherein, in the energy consumption impact data set Different types of energy consumption impact data are used to calculate one or more energy consumption impact parameters in the energy consumption impact parameter set; the energy consumption impact factor set is calculated based on the energy consumption impact parameter set, and the different types of energy consumption in the energy consumption impact parameter set
  • the influence parameters are used to calculate different energy consumption influence factors in the energy consumption influence parameter set.
  • the energy consumption influence data corresponding to the energy consumption influence parameter includes the influence data of the unsuitability of the external temperature, such as the preset mileage The ambient temperature outside the vehicle.
  • the energy consumption influence parameter in the energy consumption influence parameter set is the weather influence parameter
  • the energy consumption influence data corresponding to the energy consumption influence parameter is the weather influence data, such as the gear position of the wiper in the preset mileage, the position of the wiper in each gear working hours.
  • the energy consumption influence data corresponding to the energy consumption influence parameter is the day and night influence data, such as the gear position of the headlight in the preset mileage, the position of the headlight in the preset mileage. The working hours of each gear, etc.
  • the energy consumption influence parameter in the energy consumption influence parameter set is the wind speed influence parameter
  • the energy consumption influence data corresponding to the energy consumption influence parameter is the wind speed influence data, such as the projection of the wind speed on the heading of the vehicle.
  • the energy consumption influence parameter in the energy consumption influence parameter set is the window opening influence parameter
  • the energy consumption influence data corresponding to the energy consumption influence parameter is the window opening influence data, such as the wind resistance score of the window of the vehicle.
  • the above-mentioned normalization processing includes linear normalization processing and nonlinear normalization processing.
  • the above linear normalization process can be understood as transforming the energy consumption impact data x i ' through the formula Perform linear normalization to obtain the energy consumption impact parameter y, where p i represents the probability distribution of the energy consumption impact data xi ' in the preset mileage, a' represents the lower limit of the change of the variable i, and b' represents the change of the variable i
  • p i represents the probability distribution of the energy consumption impact data xi ' in the preset mileage
  • a' represents the lower limit of the change of the variable i
  • b' represents the change of the variable i
  • the upper limit of , M, N, m and z are constants and can be configured by the manufacturer.
  • the energy consumption influence parameters obtained based on the above-mentioned linear normalization process may include the influence parameters of the unsuitability of the external temperature, the weather influence parameters, the day and night influence parameters, the window opening influence parameters, and the like.
  • the above-mentioned constants M, N, m, and z have already been configured.
  • the constants that are 0 are omitted in the formula.
  • J, Q, h, slope and ⁇ (J, Q, h, slope) can be configured by the manufacturer.
  • the energy consumption influence parameters obtained based on the above-mentioned nonlinear normalization process may include wind speed influence parameters, vehicle aging degree influence parameters, and the like. It should be noted that, in the processing formula based on nonlinear normalization introduced above, the above constants have already been configured, and for the sake of brevity, the constants that are 0 are omitted in the formula.
  • the above energy consumption scoring model is Among them, x j represents the jth energy consumption influencing factor, w ji represents the weight of the ith energy consumption influencing parameter of the jth energy consumption influencing factor, nj represents the total number of energy consumption influencing parameters corresponding to the energy consumption influencing factor, b j represents the intercept of the jth energy consumption influencing factor; f j ( ) represents a monotonically increasing function.
  • weight w ji and intercept b j may be delivered by the cloud to the vehicle-mounted execution device.
  • the specific training process please refer to the introduction below.
  • the above-mentioned display interface may be a built-in display screen on the vehicle, or may also be a display screen of a terminal device bound to the vehicle, which is not limited in this embodiment of the present application.
  • this application proposes to divide the above five energy consumption influencing factors into objective energy consumption influencing factor score and subjective energy consumption impact factor score.
  • the above-mentioned objective energy consumption influence factors may include the first type of energy consumption influence factor x 1 (environmental influence factor), the fourth type of energy consumption influence factor x 4 (vehicle operating condition influence factor), and the fifth type of energy consumption influence factor x 5 ( road condition influence factor).
  • the above-mentioned subjective energy consumption influence factors may include a second type of energy consumption influence factor x 2 (comfort habit influence factor), and a third type of energy consumption influence factor x 3 (driving behavior influence factor).
  • the weight of the energy consumption influence factor x 2 and w 3 represents the weight of the third type of energy consumption influence factor x 3 .
  • weights in the above two scoring formulas can also be delivered by the cloud to the on-board execution equipment.
  • the specific training process please refer to the introduction below.
  • the higher the score corresponding to the energy consumption influence factor the greater the energy consumption of this type of energy consumption influence factor.
  • the flow of the score calculation method according to the embodiment of the present application is described below with reference to FIG.
  • the method shown in FIG. 3 includes steps 310 to 330 .
  • the first type of energy consumption influence factor x 1 includes four energy consumption influence parameters, including the unsuitability influence parameter of external temperature x 11 , the weather influence parameter x 12 , the day and night influence parameter x 13 and the wind speed influence parameter x 14 .
  • the second type of energy consumption influence factor x 2 includes four energy consumption influence parameters, including window opening influence parameter x 21 , air conditioning dependent influence parameter x 22 , air conditioning temperature preference influence parameter x 23 and air conditioning windshield preference influence parameter x 24 .
  • the third type of energy consumption influence factor x 3 includes 4 kinds of energy consumption influence parameters, including the influence parameter of acceleration and deceleration frequency x 31 , the influence parameter of acceleration and deceleration intensity x 32 , the influence parameter of non-economic vehicle speed duration x 33 and the high-speed influence parameter x 34 .
  • the fourth type of energy consumption influence factor x 4 includes two kinds of energy consumption influence parameters, such as the vehicle load influence parameter x 41 and the vehicle aging degree influence parameter x 42 .
  • the fifth type of energy consumption influence factor x 5 includes a road grade influence parameter x 51 and a road undulation degree influence parameter x 52 .
  • a ranking of the energy consumption influence factor may also be presented to the user based on the score result, so that the user can identify the energy consumption influence factor that has a greater influence on the energy consumption.
  • the higher the score corresponding to the energy consumption influencing parameter the greater the energy consumption of the energy consumption influencing parameter.
  • the lower the score corresponding to the energy consumption influence parameter the smaller the energy consumption of the energy consumption influence parameter.
  • driving economy suggestions can also be presented on the user interface.
  • the driving economy suggestion can be displayed on the user interface: this time the air conditioner consumes a lot of energy, please appropriately reduce the time when the air conditioner is turned on.
  • the driving economy suggestion can be displayed on the user interface: this time the air conditioner is set to a lower temperature, please increase the air conditioner temperature appropriately.
  • the driving economy suggestion can be displayed on the user interface: this time the acceleration and deceleration are more severe, please reduce the severe driving appropriately.
  • FIG. 4 and FIG. 5 A schematic diagram of a user interface of an embodiment of the present application is described below with reference to FIG. 4 and FIG. 5 . It should be noted that the user interfaces shown in FIG. 4 and FIG. 5 are only for easy understanding.
  • FIG. 4 is a schematic diagram of a user interface according to an embodiment of the present application.
  • the driving behavior influencing factor is scored as 65 (see 412)
  • the comfort habit influencing factor is scored as 250 (see 413)
  • road conditions The impact factor is rated at 20 (see 415)
  • the environmental impact factor is rated at 40 (see 416)
  • the vehicle operating condition impact factor is rated at 25 (see 417).
  • the subjective energy consumption impact score is 56 (see 411)
  • the objective energy consumption impact score is 35 (see 414), and the energy consumption per 100 kilometers is 29.6kwh/100km.
  • the score ranking of each energy consumption influencing parameter is shown as 420, that is, the score of the non-suitable temperature influence parameter of outside temperature is higher than the score of the air conditioning dependent influence parameter, and the score of the air conditioning dependent influence parameter is higher than that of the air conditioning.
  • the temperature preference degree affects the score of the parameter, the score of the parameter affected by the temperature preference degree is higher than that of the parameter affected by the severity of acceleration and deceleration, and the score of the parameter affected by the temperature preference degree is higher than that of the parameter affected by the wind speed. Accordingly, driving economy suggestions 430 are also provided in the user interface 400 based on the energy consumption impact parameter score ranking.
  • the above-mentioned user interface may also display other additional functions, for example, displaying one-click sharing 440 to share the scoring results displayed on the above-mentioned user interface to other users.
  • a historical view 450 may also be displayed to view previous scoring results.
  • FIG. 5 is a schematic diagram of a user interface according to another embodiment of the present application. It should be noted that elements with the same functions in the user interface shown in FIG. 4 and the function interface shown in FIG. 5 use the same numbers. For their functions, please refer to the above description. For brevity, the details will not be described below.
  • Fig. 5 also shows the scores of the energy consumption influencing parameters that affect subjective energy consumption on the basis of Fig. 4 .
  • the energy consumption impact parameters associated with the subjective energy consumption impact score may be shown at 511 to 518 .
  • the air conditioner-dependent influence parameter score may be shown at 511
  • the air conditioner temperature preference influence parameter may be shown at 512
  • the air conditioner windshield preference influence parameter may be shown at 513
  • the acceleration/deceleration frequency influence parameter may be shown at 514
  • the influence parameter of acceleration and deceleration severity can be shown at 515
  • the influence parameter of non-economic vehicle speed duration can be shown at 516
  • the high speed influence parameter can be shown at 517
  • the influence parameter of window opening can be shown at 518 .
  • Energy consumption impact parameters related to the objective energy consumption impact score may be shown at 521-528.
  • the external temperature unsuitability influence parameter may be shown at 521
  • the weather influence parameter may be shown at 522
  • the day and night influence parameter may be shown at 523
  • the wind speed influence parameter may be shown at 524
  • the vehicle load influence parameter may be shown at 524.
  • the vehicle aging effect parameter may be shown at 526
  • the road grade effect parameter may be shown at 527
  • the road bump effect parameter may be shown at 528 , as may be shown at 525 .
  • the calculation process of the energy consumption scoring model according to the embodiment of the present application and the method for presenting the score to the user are described above with reference to FIG. 1 to FIG. 5 .
  • the following describes the training process of the energy consumption scoring model according to the embodiment of the present application with reference to FIG. 6 to FIG. 7 .
  • an applicable scenario of the training method of the energy consumption scoring model according to the embodiment of the present application is first introduced with reference to FIG. 6 .
  • FIG. 6 is a schematic diagram of a system architecture to which an embodiment of the present application is applicable.
  • the system 600 shown in FIG. 6 includes a cloud execution device 610 , a data storage system 620 and a vehicle-mounted device 630 .
  • the execution device 610 is implemented by one or more servers, and optionally, cooperates with other computing devices, such as data storage, routers, load balancers and other devices; the execution device can be arranged on a physical site or distributed in multiple on the physical site.
  • the execution device on-board can use the data in the data storage system 620, or call the program code in the data storage system 620 to implement the process of calculating the score through the energy consumption scoring model, specifically, as described above, for example, steps 201 to 203. For brevity, details are not repeated here.
  • Each in-vehicle device may represent any computing device, such as an in-vehicle computing device, etc.
  • Each user's in-vehicle device can interact with the execution device 610 through a communication network of any communication mechanism/communication standard.
  • the communication network can be a wide area network, a local area network, a point-to-point connection, etc., or any combination thereof.
  • one or more aspects of the execution device 610 may be implemented by each in-vehicle device, for example, the in-vehicle device 301 may provide the execution device 210 with local data or feedback calculation results.
  • the execution device 610 can also be implemented by in-vehicle devices.
  • the in-vehicle device 630 implements the functions of the execution device 610 and provides services for its own users, or provides services for the users of the in-vehicle device 630 .
  • FIG. 7 is a schematic flowchart of a training method for an energy consumption scoring model according to an embodiment of the present application.
  • the method shown in FIG. 7 includes steps 710 to 720 .
  • the energy consumption influencing factor training data is the training data used to train the energy consumption scoring model, which may be the energy consumption influencing factor of the vehicle or the energy consumption influencing factor of other vehicles, which is not limited in the embodiment of the present application.
  • the energy consumption scoring model that has been delivered to the vehicle-mounted device may also be updated.
  • whether to update the energy consumption scoring model may be determined based on the model error. For example, when the model error is greater than a preset value, the process of updating the energy consumption scoring model can be triggered.
  • the energy consumption model error ⁇ can be calculated by the formula determine, where N represents the total number of samples in the training set, C i-honst represents the true value of the energy consumption of the above vehicle in the historical journey (for example, 100 kilometers), and C i-predict represents the above vehicle in the historical journey (for example, 100 kilometers) km) predicted energy consumption.
  • a gradient descent algorithm can be used to dynamically train model parameters such as weights and intercepts in the above scoring calculation formula, so as to establish an energy consumption model in which the energy consumption in the historical mileage is positively correlated with the multi-dimensional energy consumption factor.
  • the weight w and the intercept b are non-negative numbers
  • f1-f6 are monotonically increasing functions
  • the 5-dimensional index range is [0,100].
  • FIG. 8 to FIG. 9 The scoring method of vehicle energy consumption according to the embodiment of the present application is described above with reference to FIGS. 1 to 7 , and the apparatus of the embodiment of the present application is described below with reference to FIGS. 8 to 9 . It should be understood that it should be noted that the apparatuses shown in FIG. 8 to FIG. 9 can implement each step in the above method, which is not repeated here for brevity.
  • FIG. 8 is a schematic diagram of a vehicle energy consumption scoring device according to an embodiment of the present application.
  • the apparatus 800 shown in FIG. 8 includes: an obtaining unit 810 and a processing unit 820 .
  • the obtaining unit 810 is configured to obtain a set of energy consumption influencing factors of the vehicle, where the energy consumption influencing factor set includes the first type of energy consumption influencing factor and/or the second type of energy consumption influencing factor, and the first type of energy consumption influencing factor includes the influence of window opening Parameter, the window-opening influence parameter is used to indicate the degree of influence of the wind resistance caused by the opening of the vehicle's window within the preset trip on the vehicle's energy consumption, and the second type of energy-consumption influence factor indicates the driving environment where the vehicle is located within the preset trip. The degree of influence on the energy consumption of the vehicle;
  • the processing unit 820 is configured to input the energy consumption influencing factor set obtained by the obtaining unit into the energy consumption scoring model, so as to determine the score corresponding to the number of one or more types of energy consumption influencing factors in the energy consumption influencing factor set.
  • the score corresponding to the consumption influence factor is used to indicate the degree of influence of one or more types of energy consumption influence factors on the vehicle energy consumption within the preset trip.
  • the second type of energy consumption influence factor includes one or more factors among the unsuitability influence parameter of outside temperature, weather influence parameter, day and night influence parameter or wind speed influence parameter, wherein
  • the suitability influence parameter is used to indicate the influence degree of the ambient temperature outside the preset suitable temperature range in the preset trip on the working state of the vehicle
  • the weather influence parameter is used to indicate the influence degree of the weather in the preset trip on the working state of the vehicle
  • the day and night influence parameter is used to indicate the influence degree of the day and night environment on the working state of the vehicle within the preset trip
  • the wind speed influence parameter is used to indicate the influence degree of the wind speed within the preset travel on the working state of the vehicle.
  • the external temperature unsuitability degree influencing parameter is obtained by performing linear normalization processing on the external temperature unsuitability degree data, and the external temperature unsuitability degree data includes the external ambient temperature of the vehicle.
  • the unsuitability of the external temperature affects the parameter x 11 through the formula sure, and Among them, T1 represents the lower limit of the preset suitable working temperature range of the component, T2 represents the upper limit of the preset suitable working temperature range of the component, n represents the total number of sampling points in the preset stroke, and i represents the preset stroke.
  • the weather influence parameter is obtained by performing linear normalization processing on the weather influence data
  • the weather influence data includes one or more gears in which the wipers of the vehicle work in the preset trip, and the preset range. The working time of the wiper in each gear during the stroke.
  • the power consumption required for the working gear T l represents the duration of the wiper working in the first gear
  • P max represents the power consumption corresponding to the first working gear of the wiper per unit time
  • the first working gear is all the work of the wiper Among the gears, the working gear that consumes the most energy of the vehicle
  • T max represents the total time required for the vehicle to travel the preset trip.
  • the circadian influence parameter is obtained by performing linear normalization processing on the circadian influence data
  • the day and night influence data includes one or more gears in which the lights of the vehicle work in the preset trip, and the preset range. Set the working hours of the in-travel lights in each gear.
  • the wind speed influence parameter is obtained by performing non-linear normalization processing on wind speed influence data
  • the wind speed influence data includes a speed component obtained by projecting the wind speed in the preset trip on the heading of the vehicle.
  • the window-opening influence parameter is obtained by performing linear normalization on the window-opening influence data
  • the window-opening influence data includes the window opening and closing of one or more vehicles collected within a preset mileage.
  • the state combination, the window opening and closing state combination of the vehicle includes the opening and closing state of each window in the vehicle.
  • Rmax represents the power consumption of the vehicle consumed by the combination of the windows of the vehicle in the first opening and closing state per unit time
  • Tmax represents the driving of the vehicle
  • the total time required for the preset trip, and the first opening and closing state combination is the opening and closing state combination that consumes the largest energy among all the opening and closing state combinations of the windows in the vehicle.
  • the processing unit 820 may be a processor 920 in a computing device
  • the obtaining unit 810 may be a communication interface 930 in the computing device
  • the computing device may further include a memory 910, as shown in FIG. 9 . shown.
  • FIG. 9 is a schematic block diagram of a computing device according to another embodiment of the present application.
  • the computing device 900 shown in FIG. 9 may include: a memory 910 , a processor 920 , and a communication interface 930 .
  • the memory 910, the processor 920, and the communication interface 930 are connected through an internal connection path, the memory 910 is used to store instructions, and the processor 920 is used to execute the instructions stored in the memory 920 to control the input/output interface 930 to receive/send At least part of the parameters of the second channel model.
  • the memory 910 may be coupled with the processor 920 through an interface, or may be integrated with the processor 920 .
  • the above-mentioned communication interface 930 uses a transceiver such as but not limited to a transceiver to implement communication between the communication device 900 and other devices or communication networks.
  • the above-mentioned communication interface 930 may also include an input/output interface.
  • each step of the above-mentioned method may be completed by an integrated logic circuit of hardware in the processor 920 or an instruction in the form of software.
  • the methods disclosed in conjunction with the embodiments of the present application may be directly embodied as executed by a hardware processor, or executed by a combination of hardware and software modules in the processor.
  • the software modules may be located in random access memory, flash memory, read-only memory, programmable read-only memory or electrically erasable programmable memory, registers and other storage media mature in the art.
  • the storage medium is located in the memory 910, and the processor 920 reads the information in the memory 910, and completes the steps of the above method in combination with its hardware. To avoid repetition, detailed description is omitted here.
  • the processor may be a central processing unit (central processing unit, CPU), and the processor may also be other general-purpose processors, digital signal processors (digital signal processors, DSP), dedicated integrated Circuit (application specific integrated circuit, ASIC), off-the-shelf programmable gate array (field programmable gate array, FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc.
  • a general purpose processor may be a microprocessor or the processor may be any conventional processor or the like.
  • the memory may include a read-only memory and a random access memory, and provide instructions and data to the processor.
  • a portion of the processor may also include non-volatile random access memory.
  • the processor may also store device type information.
  • the size of the sequence numbers of the above-mentioned processes does not mean the sequence of execution, and the execution sequence of each process should be determined by its functions and internal logic, and should not be dealt with in the embodiments of the present application. implementation constitutes any limitation.
  • the disclosed system, apparatus and method may be implemented in other manners.
  • the apparatus embodiments described above are only illustrative.
  • the division of the units is only a logical function division. In actual implementation, there may be other division methods.
  • multiple units or components may be combined or Can be integrated into another system, or some features can be ignored, or not implemented.
  • the shown or discussed mutual coupling or direct coupling or communication connection may be through some interfaces, indirect coupling or communication connection of devices or units, and may be in electrical, mechanical or other forms.
  • the units described as separate components may or may not be physically separated, and components displayed as units may or may not be physical units, that is, may be located in one place, or may be distributed to multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution in this embodiment.
  • each functional unit in each embodiment of the present application may be integrated into one processing unit, or each unit may exist physically alone, or two or more units may be integrated into one unit.
  • the functions, if implemented in the form of software functional units and sold or used as independent products, may be stored in a computer-readable storage medium.
  • the technical solution of the present application can be embodied in the form of a software product in essence, or the part that contributes to the prior art or the part of the technical solution.
  • the computer software product is stored in a storage medium, including Several instructions are used to cause a computer device (which may be a personal computer, a server, or a network device, etc.) to execute all or part of the steps of the methods described in the various embodiments of the present application.
  • the aforementioned storage medium includes: U disk, mobile hard disk, read-only memory (ROM), random access memory (RAM), magnetic disk or optical disk and other media that can store program codes .

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Abstract

A vehicle energy consumption scoring method and device, which improve the accuracy of scoring the energy consumption of a vehicle in a preset route. The vehicle energy consumption scoring method, comprises: acquiring an energy consumption impact factor set of a vehicle, the energy consumption impact factor set comprising first-type energy consumption impact factors and/or second-type energy consumption impact factors, the first-type energy consumption impact factors comprising a windowing impact parameter, the windowing impact parameter being used for indicating the degree of impact on energy consumption of the vehicle due to the magnitude of a wind resistance induced when a window of the vehicle is opened in the preset route, and the second-type energy consumption impact factors indicating the degree of impact on energy consumption of the vehicle by a driving environment in which the vehicle is located in the preset route; and inputting the energy consumption impact factor set into an energy consumption scoring model, so as to determine the score corresponding to one or more types of energy consumption impact factors among the energy consumption impact factor set, the score corresponding to the one or more types of energy consumption impact factors being used for indicating the degree of impact on energy consumption of the vehicle by the one or more types of energy consumption impact factors in the preset route.

Description

车辆能耗的评分方法和装置Method and device for scoring vehicle energy consumption
本申请要求于2020年09月24日提交中国专利局、申请号为202011014717.3、申请名称为“车辆能耗的评分方法和装置”的中国专利申请的优先权，其全部内容通过引用结合在本申请中。This application claims the priority of the Chinese patent application with the application number 202011014717.3 and the application title "Method and Device for Scoring Vehicle Energy Consumption", which was submitted to the Chinese Patent Office on September 24, 2020, the entire contents of which are incorporated herein by reference middle.
技术领域technical field
本申请涉及车辆领域，并且更具体地，涉及车辆能耗的评分方法和装置。The present application relates to the field of vehicles, and more particularly, to a method and apparatus for scoring vehicle energy consumption.
背景技术Background technique
车辆的能源消耗是用于评价车辆新能的重要指标之一。尤其对于电动车辆而言，车辆的能源消耗指标不仅仅关于车辆行驶的经济性，更反映了一台汽车的综合水平。目前，降低车辆能耗，提升车辆驾驶经济性是车辆能源消耗领域的一个热点问题。The energy consumption of a vehicle is one of the important indicators for evaluating the new energy of a vehicle. Especially for electric vehicles, the energy consumption index of the vehicle is not only about the economy of the vehicle, but also reflects the comprehensive level of a car. At present, reducing vehicle energy consumption and improving vehicle driving economy is a hot issue in the field of vehicle energy consumption.
传统的车辆能耗的评分方法是将车辆中驾驶员的驾驶行为数据，以及车辆所行驶的道路的道路数据，输入能耗评分模型，以计算预设行程内车辆能耗的评分。其中，驾驶行为数据包括预设时间段内驾驶员加减速的频繁程度，预设时间段内驾驶员加减速的剧烈程度等。道路数据包括道路等级以及道路不平程度等。The traditional scoring method of vehicle energy consumption is to input the driving behavior data of the driver in the vehicle and the road data of the road the vehicle is traveling on into the energy consumption scoring model to calculate the vehicle energy consumption score within the preset trip. The driving behavior data includes the frequency of the driver's acceleration and deceleration within the preset time period, the severity of the driver's acceleration and deceleration within the preset time period, and the like. Road data includes road grade and road unevenness.
然而，随着车辆电子化程度越来越高，影响车辆能耗的因素也越来越多，上述传统的车辆能耗的评分方法仅基于驾驶行为数据以及道路数据进行，使得计算出的车辆能耗的评分并不准确。However, with the increasing degree of vehicle electronics, there are more and more factors affecting vehicle energy consumption. The above-mentioned traditional vehicle energy consumption scoring method is only based on driving behavior data and road data, so that the calculated vehicle energy consumption The consumption rating is not accurate.
发明内容SUMMARY OF THE INVENTION
本申请提供了一种车辆能耗的评分方法和装置，以提高计算预设行程内车辆的能耗的评分的准确率。The present application provides a scoring method and device for vehicle energy consumption, so as to improve the accuracy of calculating the scoring accuracy of vehicle energy consumption within a preset trip.
第一方面，提供了一种车辆能耗的评价方法，包括：获取车辆的能耗影响因子集合，所述能耗影响因子集合包括第一类能耗影响因子和/或第二类能耗影响因子，所述第一类能耗影响因子包括开窗影响参数，所述开窗影响参数用于指示预设行程内所述车辆的车窗处于打开引发的风阻的大小对所述车辆的能耗的影响程度，所述第二类能耗影响因子指示所述预设行程内车辆所在的行驶环境对所述车辆的能耗的影响程度；将所述能耗影响因子集合输入能耗评分模型，以确定所述能耗影响因子集合中一类或多类能耗影响因子对应的评分，所述一类或多类能耗影响因子对应的评分用于指示所述预设行程内所述一类或多类能耗影响因子对所述车辆能耗的影响程度。In a first aspect, a method for evaluating vehicle energy consumption is provided, including: acquiring a set of energy consumption influencing factors of a vehicle, the energy consumption influencing factor set including a first type of energy consumption influence factor and/or a second type of energy consumption influence The first type of energy consumption influencing factor includes a window-opening influence parameter, and the window-opening influence parameter is used to indicate the energy consumption of the vehicle caused by the wind resistance caused by the opening of the window of the vehicle within the preset trip. The influence degree of the second type of energy consumption influence factor indicates the influence degree of the driving environment where the vehicle is located in the preset trip on the energy consumption of the vehicle; the energy consumption influence factor set is input into the energy consumption scoring model, Determine the scores corresponding to one or more types of energy consumption influencing factors in the set of energy consumption influencing factors, and the scores corresponding to the one or more types of energy consumption influencing factors are used to indicate the one type in the preset itinerary. or the degree of influence of multiple types of energy consumption influencing factors on the energy consumption of the vehicle.
在本申请实施例中，通过将第一类能耗号影响因子和/或第二类能耗影响因子输入能耗评分模型，以确定第一类能耗影响因子和第二类能耗影响因子对应的评分，避免了现有的评分计算过程中忽视第一类能耗影响因子和第二类能耗影响因子的影响，有利于提高计算预设行程内车辆的能耗的评分的准确率。In the embodiment of the present application, the first type of energy consumption influence factor and/or the second type of energy consumption influence factor are input into the energy consumption scoring model to determine the first type of energy consumption influence factor and the second type of energy consumption influence factor The corresponding score avoids ignoring the influence of the first type of energy consumption influence factor and the second type of energy consumption influence factor in the existing score calculation process, which is beneficial to improve the accuracy of the score for calculating the energy consumption of the vehicle within the preset itinerary.
在一种可能的实现方式中，所述第二类能耗影响因子包括外温非适宜程度影响参数、天气影响参数、昼夜影响参数或风速影响参数中的一种或多种因子，其中，所述外温非适宜程度影响参数用于指示所述预设行程内位于预设适宜温度区间之外的环境温度对所述车辆的工作状态的影响程度，所述天气影响参数用于指示所述预设行程内天气对所述车辆的工作状态的影响程度，所述昼夜影响参数用于指示所述预设行程内昼夜环境对所述车辆的工作状态的影响程度，所述风速影响参数用于指示所述预设行程内风速对所述车辆的工作状态的影响程度。In a possible implementation manner, the second type of energy consumption influence factor includes one or more factors among the unsuitability influence parameters of external temperature, weather influence parameters, day and night influence parameters or wind speed influence parameters, wherein the The influence parameter of the unsuitable degree of outside temperature is used to indicate the influence degree of the ambient temperature outside the preset suitable temperature range in the preset trip on the working state of the vehicle, and the weather influence parameter is used to indicate the pre-set distance. Set the degree of influence of the weather in the trip on the working state of the vehicle, the day and night influence parameter is used to indicate the degree of influence of the day and night environment on the working state of the vehicle in the preset itinerary, and the wind speed influence parameter is used to indicate The degree of influence of the wind speed within the preset range on the working state of the vehicle.
在本申请实施例中，第二类能耗影响因子包括外温非适宜程度影响参数、天气影响参数、昼夜影响参数或风速影响参数中的一种或多种因子，有利于提高计算预设行程内车辆的能耗的评分的准确率。In the embodiment of the present application, the second type of energy consumption influencing factor includes one or more factors among parameters affecting the unsuitability of external temperature, weather influencing parameters, day and night influencing parameters, or wind speed influencing parameters, which is beneficial to improve the calculation of the preset itinerary. The accuracy of the rating of the energy consumption of the vehicle.
在一种可能的实现方式中，所述外温非适宜程度影响参数通过对外温非适宜程度数据进行线性归一化处理得到的，所述外温非适宜程度数据包括所述车辆的外部环境温度。In a possible implementation manner, the external temperature unsuitability influencing parameter is obtained by performing linear normalization processing on external temperature unsuitability data, where the external temperature unsuitability data includes the external ambient temperature of the vehicle .
在本申请实施例中，对车辆的外部环境温度进行归一化处理得到外温非适宜程度影响参数，即将有量纲的外部环境温度转换为无量纲的评分，以便于驾驶员可以通过评分确定外温非适宜程度影响参数在预设行程内对车辆能耗的影响。In the embodiment of the present application, the external ambient temperature of the vehicle is normalized to obtain the influence parameter of the unsuitability of the external temperature, that is, the dimensioned external ambient temperature is converted into a dimensionless score, so that the driver can determine by scoring The unsuitable degree of outside temperature affects the influence of parameters on vehicle energy consumption within the preset range.
在一种可能的实现方式中，所述外温非适宜程度影响参数x 11通过公式
Figure PCTCN2021105015-appb-000001
确定，且
Figure PCTCN2021105015-appb-000002
其中，T 1表示预设的所述部件的适宜工作温度区间的下限，T 2表示预设的所述部件的适宜工作温度区间的上限，n表示所述预设行程内的采样点的总数，i表示所述预设行程内的第i个采样点，i＝1,2,…,n，Δt max为预设值，t i表示在所述第i个采样点采集的所述车辆的外部环境温度。 In a possible implementation manner, the unsuitability of the external temperature affects the parameter x 11 through the formula
Figure PCTCN2021105015-appb-000001
sure, and
Figure PCTCN2021105015-appb-000002
Wherein, T1 represents the preset lower limit of the suitable working temperature range of the component, T2 represents the preset upper limit of the suitable working temperature range of the component, n represents the total number of sampling points in the preset stroke, i represents the ith sampling point within the preset itinerary, i=1,2,...,n, Δt max is a preset value, and t i represents the exterior of the vehicle collected at the ith sampling point ambient temperature.
在本申请实施例中，基于车辆中部件的适宜工作温度区间、车辆的外部环境温度确定外温非适宜程度影响参数，有利于提高计算外温非适宜程度影响参数的合理性。In the embodiment of the present application, determining the influence parameter of the unsuitability degree of the external temperature based on the suitable working temperature range of the components in the vehicle and the external ambient temperature of the vehicle is beneficial to improve the rationality of calculating the influence parameter of the unsuitability degree of the external temperature.
在一种可能的实现方式中，所述天气影响参数通过对天气影响数据进行线性归一化处理得到，所述天气影响数据包括所述预设行程内所述车辆的雨刮器所工作的一个或多个档位、以及所述预设行程内所述雨刮器处于每个档位的工作时长。In a possible implementation manner, the weather influence parameter is obtained by performing linear normalization processing on weather influence data, where the weather influence data includes one or more working data of the wiper of the vehicle within the preset trip. number of gears, and the working time of the wiper in each gear within the preset stroke.
在本申请实施例中，通过对雨刮器的工作档位、以及雨刮器在每个档位的工作时长进行线性归一化处理，得到天气影响参数，即将有量纲的天气影响数据转换为无量纲的评分，以便于驾驶员可以通过评分确定天气影响参数在预设行程内对车辆能耗的影响。In the embodiment of the present application, by performing linear normalization on the working gear of the wiper and the working time of the wiper in each gear, the weather influence parameters are obtained, that is, the dimensional weather influence data is converted into dimensionless Score, so that the driver can determine the impact of the weather influence parameters on the vehicle energy consumption within the preset trip through the score.
在一种可能的实现方式中，所述天气影响参数x 12通过公式
Figure PCTCN2021105015-appb-000003
确定，其中，M Y表示所述车辆的雨刮器的工作档位的总数，l表示所述雨刮器工作的第l工作档位，l＝1,2,…,M Y，P l表示单位时间内所述雨刮器工作在所述第l工作档位所需的功耗，T l表示所述雨刮器工作在第l档位的时长，P max表示所述单位时间内所述雨刮器的第一工作档位对应的功耗，所述第一工作档位为所述雨刮器的全部工作档位中消耗所述车辆的能耗最大的工作档位，T max表示所述车辆行驶所述预设行程所需的总时长。 In a possible implementation manner, the weather influence parameter x 12 is determined by the formula
Figure PCTCN2021105015-appb-000003
Determine, wherein, MY represents the total number of working gears of the wiper of the vehicle, l represents the first working gear of the wiper , l=1, 2, . The power consumption required for the wiper to work in the first working gear, T1 represents the duration of the wiper working in the first gear, and Pmax represents the first working gear of the wiper corresponding to the unit time. power consumption, the first working gear is the working gear that consumes the largest energy consumption of the vehicle among all the working gears of the wiper, and Tmax represents the total energy required for the vehicle to travel the preset travel. duration.
在本申请实施例中，通过上述公式计算天气影响参数，有利于提高计算天气影响参数 的合理性。In the embodiment of the present application, the weather-influenced parameters are calculated by the above formula, which is beneficial to improve the rationality of the calculation of the weather-influenced parameters.
在一种可能的实现方式中，所述昼夜影响参数通过对昼夜影响数据进行线性归一化处理得到的，所述昼夜影响数据包括所述预设行程内所述车辆的车灯所工作的一个或多个档位、以及所述预设行程内所述车灯处于每个档位的工作时长。In a possible implementation manner, the day and night influence parameters are obtained by performing linear normalization processing on day and night influence data, and the day and night influence data includes one of the working lights of the vehicle within the preset itinerary. or multiple gears, and the working time of the vehicle light in each gear within the preset travel.
在本申请实施例中，通过对昼夜影响数据进行归一化处理得到昼夜影响参数，即将有量纲的昼夜影响数据转换为无量纲的评分，以便于驾驶员可以通过评分确定昼夜影响参数在预设行程内对车辆能耗的影响。In the embodiment of the present application, the circadian influence parameter is obtained by normalizing the circadian influence data, that is, the dimensional circadian influence data is converted into a dimensionless score, so that the driver can determine the circadian influence parameter through the score. Set the impact on vehicle energy consumption during the trip.
在一种可能的实现方式中，所述昼夜影响参数x 13通过公式
Figure PCTCN2021105015-appb-000004
确定，其中，M D表示所述车辆的车灯的工作档位的总数，l'表示所述车灯工作的第l'工作档位，l'＝1,2,…,M D，D l'表示单位时间内所述车灯工作在第l'工作档位所需的功耗，T l'表示所述车灯工作在第l'工作档位的时长，D max表示所述单位时间内所述车灯工作在第二工作档位所需的功耗，所述第二工作档位为所述车灯的全部工作档位中消耗所述车辆的能耗最大的工作档位，T max表示所述车辆行驶所述预设行程所需的总时长。 In a possible implementation, the circadian influence parameter x 13 is determined by the formula
Figure PCTCN2021105015-appb-000004
Determine, wherein, MD represents the total number of working gears of the lights of the vehicle, l' represents the l'th working gear of the lights, l '=1,2,..., MD , Dl ' represents the power consumption required for the vehicle lamp to work in the 1'th working gear per unit time, T l' represents the duration of the vehicle lamp working in the l'th working gear, and Dmax represents the unit time The power consumption required for the lamp to work in the second working gear, the second working gear is the working gear that consumes the largest energy consumption of the vehicle among all the working gears of the vehicle lamp, T max Indicates the total time required for the vehicle to travel the preset trip.
在本申请实施例中，通过上述公式计算昼夜影响参数，有利于提高计算昼夜影响参数的合理性。In the embodiment of the present application, calculating the circadian influence parameter by the above formula is beneficial to improve the rationality of calculating the circadian influence parameter.
在一种可能的实现方式中，所述风速影响参数通过对风速影响数据进行非线性归一化处理得到的，所述风速影响数据包括所述预设行程内风速在所述车辆的航向上投影得到的速度分量。In a possible implementation manner, the wind speed influence parameter is obtained by performing non-linear normalization processing on wind speed influence data, and the wind speed influence data includes the projection of the wind speed within the preset trip on the heading of the vehicle the resulting velocity component.
在本申请实施例中，通过对风速影响数据进行非线性归一化处理得到风速影响参数，即将有量纲的风速影响数据转换为无量纲的评分，以便于驾驶员可以通过评分确定风速影响参数在预设行程内对车辆能耗的影响。In the embodiment of the present application, the wind speed influence parameters are obtained by performing nonlinear normalization on the wind speed influence data, that is, the dimensional wind speed influence data is converted into a dimensionless score, so that the driver can determine the wind speed influence parameters through the score. Influence on vehicle energy consumption during preset trips.
在一种可能的实现方式中，所述风速影响参数x 14通过公式
Figure PCTCN2021105015-appb-000005
确定，其中，
Figure PCTCN2021105015-appb-000006
n表示所述预设行程内的采样点的总数，i表示所述预设行程内的第i个采样点，i＝1,2,…,n，矢量
Figure PCTCN2021105015-appb-000007
表示在第i个采样点采集到的风向，矢量
Figure PCTCN2021105015-appb-000008
表示在第i个采样点采集到的所述车辆的航向，V i表示在第i个采样点采集到的风速，v i表示在第i个采样点采集到的所述车辆的行驶速度，θ和e为预设的常数。 In a possible implementation, the wind speed influence parameter x 14 is calculated by the formula
Figure PCTCN2021105015-appb-000005
OK, where,
Figure PCTCN2021105015-appb-000006
n represents the total number of sampling points in the preset stroke, i represents the ith sampling point in the preset stroke, i=1,2,...,n, vector
Figure PCTCN2021105015-appb-000007
Represents the wind direction collected at the ith sampling point, vector
Figure PCTCN2021105015-appb-000008
represents the heading of the vehicle collected at the ith sampling point, V i represents the wind speed collected at the ith sampling point, vi represents the traveling speed of the vehicle collected at the ith sampling point, θ and e are preset constants.
在本申请实施例中，通过上述公式计算风速影响参数，有利于提高计算风速影响参数的合理性。In the embodiment of the present application, calculating the wind speed influence parameter by the above formula is beneficial to improve the rationality of calculating the wind speed influence parameter.
在一种可能的实现方式中，所述开窗影响参数通过对开窗影响数据进行线性归一化处理得到的，所述开窗影响数据包括所述预设里程内采集的一种或多种所述车辆的车窗开合状态组合，所述车辆的车窗开合状态组合包括所述车辆中每扇车窗的开合状态。In a possible implementation manner, the windowing influence parameter is obtained by performing linear normalization processing on the windowing influence data, and the windowing influence data includes one or more kinds of data collected within the preset mileage. The window opening and closing state combination of the vehicle includes the opening and closing state of each vehicle window in the vehicle.
在本申请实施例中，通过对开窗影响数据进行线性归一化处理得到开窗影响参数，即将有量纲的开窗影响数据转换为无量纲的评分，以便于驾驶员可以通过评分确定开窗影响参数在预设行程内对车辆能耗的影响。In the embodiment of the present application, the windowing influence parameters are obtained by performing linear normalization on the windowing influence data, that is, the dimensional windowing influence data is converted into a dimensionless score, so that the driver can determine the opening of the window through the score. The influence of the window influence parameters on the vehicle's energy consumption within the preset range.
在一种可能的实现方式中，所述开窗影响参数x 21通过公式
Figure PCTCN2021105015-appb-000009
确定，其中，M W表示所述车辆的车窗开合状态组合的总数，l”表示所述车窗的第l”个开合状态组合，l”＝1,2,…,M W，R i表示单位时间内所述车辆的车窗处于第l”个开合状态组合消耗的所述车辆的功耗，R max表示所述单位时间内所述车辆的车窗处于第一开合状态组合消耗的所述车辆的功耗，T max表示所述车辆行驶所述预设行程所需的总时长，所述第一开合状态组合为所述车辆中车窗的全部开合状态组合中所消耗能量最大的开合状态组合。 In a possible implementation, the windowing influence parameter x 21 is determined by the formula
Figure PCTCN2021105015-appb-000009
Determine, where MW represents the total number of window opening and closing state combinations of the vehicle, l” represents the l” th opening and closing state combination of the vehicle window, l”=1, 2, . . . , MW , R i represents the power consumption of the vehicle when the window of the vehicle is in the 1"th opening and closing state combination within a unit time, and Rmax represents the first opening and closing state combination of the vehicle window in the unit time. The power consumption of the vehicle consumed, T max represents the total time required for the vehicle to travel the preset trip, and the first combination of opening and closing states is the total number of opening and closing state combinations of the windows in the vehicle. The combination of opening and closing states that consumes the most energy.
在本申请实施例中，通过上述公式计算开窗影响参数，有利于提高计算开窗影响参数的合理性。In the embodiment of the present application, the calculation of the window-opening influence parameter by the above formula is beneficial to improve the rationality of the calculation of the window-opening influence parameter.
第二方面，提供了一种能耗评分模型的训练方法，包括：获取训练数据集，所述训练数据集包括第一类能耗影响因子和/或第二类能耗影响因子，所述第一类能耗影响因子包括开窗影响参数，所述开窗影响参数用于指示预设行程内所述车辆的车窗处于打开引发的风阻的大小对所述车辆的能耗的影响程度，所述第二类能耗影响因子指示所述预设行程内车辆所在的行驶环境对所述车辆的能耗的影响程度；将上述训练数据集输入原始能耗评分模型，以得到能耗评分模型，所述能耗评分模型用于计算所述第一类能耗影响因子和/或第二类能耗影响因子对应的评分，所述第一类能耗影响因子和/或第二类能耗影响因子对应的评分用于指示所述预设行程内所述第一类能耗影响因子和/或第二类能耗影响因子对所述车辆能耗的影响程度。In a second aspect, a method for training an energy consumption scoring model is provided, including: acquiring a training data set, where the training data set includes a first type of energy consumption impact factor and/or a second type of energy consumption impact factor, and the first type of energy consumption impact factor is One type of energy consumption influencing factor includes a window opening influence parameter, and the window opening influence parameter is used to indicate the degree of influence on the energy consumption of the vehicle caused by the size of the wind resistance caused by the opening of the window of the vehicle within the preset trip. The second type of energy consumption influencing factor indicates the degree of influence of the driving environment where the vehicle is located in the preset trip on the energy consumption of the vehicle; the above training data set is input into the original energy consumption scoring model to obtain the energy consumption scoring model, The energy consumption scoring model is used to calculate the scores corresponding to the first type of energy consumption influence factor and/or the second type of energy consumption influence factor, and the first type of energy consumption influence factor and/or the second type of energy consumption influence factor The score corresponding to the factor is used to indicate the degree of influence of the first type of energy consumption influence factor and/or the second type of energy consumption influence factor on the energy consumption of the vehicle within the preset trip.
在本申请实施例中，通过将第一类能耗号影响因子和/或第二类能耗影响因子输入原始能耗评分模型进行训练，得到能耗评分模型。有利于提高计算预设行程内车辆的能耗的评分的准确率。In the embodiment of the present application, the energy consumption scoring model is obtained by inputting the first type of energy consumption influence factor and/or the second type of energy consumption influence factor into the original energy consumption scoring model for training. It is beneficial to improve the accuracy of the score for calculating the energy consumption of the vehicle within the preset itinerary.
可选地，所述方法还包括：若能耗模型误差高于预设值，对所述能耗评分模型进行更新。Optionally, the method further includes: if the error of the energy consumption model is higher than a preset value, updating the energy consumption scoring model.
在本申请实施例中，若能耗模型误差高于预设值，对所述能耗评分模型进行更新，有利于提高能耗评分模型的准确性。In the embodiment of the present application, if the error of the energy consumption model is higher than a preset value, the energy consumption scoring model is updated, which is beneficial to improve the accuracy of the energy consumption scoring model.
可选地，能耗模型误差α可以通过公式
Figure PCTCN2021105015-appb-000010
确定，其中，N表示训练集中的样本总数，C i-honst表示上述车辆的历史行程内能耗的真实值，C i-predict表示上述车辆的历史行程内能耗的预测值。 Alternatively, the energy consumption model error α can be calculated by the formula
Figure PCTCN2021105015-appb-000010
Determine, where N represents the total number of samples in the training set, C i-honst represents the actual value of the vehicle's historical energy consumption during the trip, and C i-predict represents the predicted value of the vehicle's historical energy consumption during the trip.
在一种可能的实现方式中，所述第二类能耗影响因子包括外温非适宜程度影响参数、天气影响参数、昼夜影响参数或风速影响参数中的一种或多种因子，其中，所述外温非适宜程度影响参数用于指示历史行程内位于预设适宜温度区间之外的环境温度对所述车辆的工作状态的影响程度，所述天气影响参数用于指示所述历史行程内天气对所述车辆的工作状态的影响程度，所述昼夜影响参数用于指示所述历史行程内昼夜环境对所述车辆的工作状态的影响程度，所述风速影响参数用于指示所述历史行程内风速对所述车辆的工作状态的影响程度。In a possible implementation manner, the second type of energy consumption influence factor includes one or more factors among the unsuitability influence parameters of external temperature, weather influence parameters, day and night influence parameters or wind speed influence parameters, wherein the The influence parameter of the unsuitable degree of outside temperature is used to indicate the influence degree of the ambient temperature outside the preset suitable temperature range in the historical travel on the working state of the vehicle, and the weather influence parameter is used to indicate the weather in the historical travel The degree of influence on the working state of the vehicle, the day and night influence parameter is used to indicate the degree of influence of the day and night environment on the working state of the vehicle in the historical trip, and the wind speed influence parameter is used to indicate the historical trip. The degree of influence of wind speed on the working state of the vehicle.
需要说明的是，上述历史行程为上述预设行程之前的一段行程。It should be noted that the above-mentioned historical itinerary is a segment of the previous itinerary before the above-mentioned preset itinerary.
在本申请实施例中，第二类能耗影响因子包括外温非适宜程度影响参数、天气影响参 数、昼夜影响参数或风速影响参数中的一种或多种因子，有利于提高计算历史行程内车辆的能耗的评分的准确率。In the embodiment of the present application, the second type of energy consumption influence factor includes one or more factors among the unsuitability influence parameters of external temperature, weather influence parameters, day and night influence parameters, or wind speed influence parameters, which is beneficial to improve the calculation of historical travel time. The accuracy of the rating of the vehicle's energy consumption.
在一种可能的实现方式中，所述外温非适宜程度影响参数通过对外温非适宜程度数据进行线性归一化处理得到的，所述外温非适宜程度数据包括所述车辆的外部环境温度。In a possible implementation manner, the external temperature unsuitability influencing parameter is obtained by performing linear normalization processing on external temperature unsuitability data, where the external temperature unsuitability data includes the external ambient temperature of the vehicle .
在本申请实施例中，对车辆的外部环境温度进行归一化处理得到外温非适宜程度影响参数，即将有量纲的外部环境温度转换为无量纲的评分，以便于驾驶员可以通过评分确定外温非适宜程度影响参数在历史行程内对车辆能耗的影响。In the embodiment of the present application, the external ambient temperature of the vehicle is normalized to obtain the influence parameter of the unsuitability of the external temperature, that is, the dimensioned external ambient temperature is converted into a dimensionless score, so that the driver can determine by scoring The influence of the unsuitable degree of outside temperature on the vehicle energy consumption in the historical journey.
在一种可能的实现方式中，所述外温非适宜程度影响参数x 11通过公式
Figure PCTCN2021105015-appb-000011
确定，且
Figure PCTCN2021105015-appb-000012
其中，T 1表示预设的所述部件的适宜工作温度区间的下限，T 2表示预设的所述部件的适宜工作温度区间的上限，n表示所述历史行程内的采样点的总数，i表示所述历史行程内的第i个采样点，i＝1,2,…,n，Δt max为预设值，t i表示在所述第i个采样点采集的所述车辆的外部环境温度。 In a possible implementation manner, the unsuitability of the external temperature affects the parameter x 11 through the formula
Figure PCTCN2021105015-appb-000011
sure, and
Figure PCTCN2021105015-appb-000012
Wherein, T1 represents the preset lower limit of the suitable working temperature range of the component, T2 represents the preset upper limit of the suitable working temperature range of the component, n represents the total number of sampling points in the historical trip, i Represents the ith sampling point in the historical trip, i=1, 2,...,n, Δt max is a preset value, t i represents the external ambient temperature of the vehicle collected at the ith sampling point .
在本申请实施例中，基于车辆中部件的适宜工作温度区间、车辆的外部环境温度确定外温非适宜程度影响参数，有利于提高计算外温非适宜程度影响参数的合理性。In the embodiment of the present application, determining the influence parameter of the unsuitability degree of the external temperature based on the suitable working temperature range of the components in the vehicle and the external ambient temperature of the vehicle is beneficial to improve the rationality of calculating the influence parameter of the unsuitability degree of the external temperature.
在一种可能的实现方式中，所述天气影响参数通过对天气影响数据进行线性归一化处理得到，所述天气影响数据包括所述历史行程内所述车辆的雨刮器所工作的一个或多个档位、以及所述历史行程内所述雨刮器处于每个档位的工作时长。In a possible implementation manner, the weather influence parameter is obtained by performing linear normalization processing on weather influence data, where the weather influence data includes one or more working wipers of the vehicle in the historical itinerary gears, and the working time of the wiper in each gear within the historical travel.
在本申请实施例中，通过对雨刮器的工作档位、以及雨刮器在每个档位的工作时长进行线性归一化处理，得到天气影响参数，即将有量纲的天气影响数据转换为无量纲的评分，以便于驾驶员可以通过评分确定天气影响参数在历史行程内对车辆能耗的影响。In the embodiment of the present application, by performing linear normalization on the working gear of the wiper and the working time of the wiper in each gear, the weather influence parameters are obtained, that is, the dimensional weather influence data is converted into dimensionless Scoring so that drivers can determine the impact of weather-influenced parameters on vehicle energy consumption during historical trips.
在一种可能的实现方式中，所述天气影响参数x 12通过公式
Figure PCTCN2021105015-appb-000013
确定，其中，M Y表示所述车辆的雨刮器的工作档位的总数，l表示所述雨刮器工作的第l工作档位，l＝1,2,…,M Y，P l表示单位时间内所述雨刮器工作在所述第l工作档位所需的功耗，T l表示所述雨刮器工作在第l档位的时长，P max表示所述单位时间内所述雨刮器的第一工作档位对应的功耗，所述第一工作档位为所述雨刮器的全部工作档位中消耗所述车辆的能耗最大的工作档位，T max表示所述车辆行驶所述历史行程所需的总时长。 In a possible implementation manner, the weather influence parameter x 12 is determined by the formula
Figure PCTCN2021105015-appb-000013
Determine, wherein, MY represents the total number of working gears of the wiper of the vehicle, l represents the first working gear of the wiper , l=1, 2, . The power consumption required for the wiper to work in the first working gear, T1 represents the duration of the wiper working in the first gear, and Pmax represents the first working gear of the wiper corresponding to the unit time. power consumption, the first working gear is the working gear that consumes the largest energy consumption of the vehicle among all the working gears of the wiper, and Tmax represents the total time required for the vehicle to travel the historical trip .
在本申请实施例中，通过上述公式计算天气影响参数，有利于提高计算天气影响参数的合理性。In the embodiment of the present application, the weather influence parameter is calculated by the above formula, which is beneficial to improve the rationality of the calculation of the weather influence parameter.
在一种可能的实现方式中，所述昼夜影响参数通过对昼夜影响数据进行线性归一化处理得到的，所述昼夜影响数据包括所述历史行程内所述车辆的车灯所工作的一个或多个档位、以及所述历史行程内所述车灯处于每个档位的工作时长。In a possible implementation manner, the day and night influence parameters are obtained by performing linear normalization processing on day and night influence data, and the day and night influence data includes one or more working lights of the vehicle in the historical itinerary. A plurality of gears, and the working time of the vehicle light in each gear in the historical trip.
在本申请实施例中，通过对昼夜影响数据进行归一化处理得到昼夜影响参数，即将有量纲的昼夜影响数据转换为无量纲的评分，以便于驾驶员可以通过评分确定昼夜影响参数在历史行程内对车辆能耗的影响。In the embodiment of the present application, the circadian influence parameter is obtained by normalizing the circadian influence data, that is, the dimensional circadian influence data is converted into a dimensionless score, so that the driver can determine the circadian influence parameter through the score. The impact on vehicle energy consumption during the trip.
在一种可能的实现方式中，所述昼夜影响参数x 13通过公式
Figure PCTCN2021105015-appb-000014
确定，其中，M D表示所述车辆的车灯的工作档位的总数，l'表示所述车灯工作的第l'工作档位，l'＝1,2,…,M D，D l'表示单位时间内所述车灯工作在第l'工作档位所需的功耗，T l'表示所述车灯工作在第l'工作档位的时长，D max表示所述单位时间内所述车灯工作在第二工作档位所需的功耗，所述第二工作档位为所述车灯的全部工作档位中消耗所述车辆的能耗最大的工作档位，T max表示所述车辆行驶所述历史行程所需的总时长。 In a possible implementation, the circadian influence parameter x 13 is determined by the formula
Figure PCTCN2021105015-appb-000014
Determine, wherein, MD represents the total number of working gears of the lights of the vehicle, l' represents the l'th working gear of the lights, l '=1,2,..., MD , Dl ' represents the power consumption required for the vehicle lamp to work in the 1'th working gear per unit time, T l' represents the duration of the vehicle lamp working in the l'th working gear, and Dmax represents the unit time The power consumption required for the lamp to work in the second working gear, the second working gear is the working gear that consumes the largest energy consumption of the vehicle among all the working gears of the vehicle lamp, T max Indicates the total time required for the vehicle to travel the historical trip.
在本申请实施例中，通过上述公式计算昼夜影响参数，有利于提高计算昼夜影响参数的合理性。In the embodiment of the present application, calculating the circadian influence parameter by the above formula is beneficial to improve the rationality of calculating the circadian influence parameter.
在一种可能的实现方式中，所述风速影响参数通过对风速影响数据进行非线性归一化处理得到的，所述风速影响数据包括所述历史行程内风速在所述车辆的航向上投影得到的速度分量。In a possible implementation manner, the wind speed influence parameter is obtained by performing non-linear normalization on wind speed influence data, and the wind speed influence data includes the historical in-travel wind speed projected on the heading of the vehicle. the velocity component.
在本申请实施例中，通过对风速影响数据进行非线性归一化处理得到风速影响参数，即将有量纲的风速影响数据转换为无量纲的评分，以便于驾驶员可以通过评分确定风速影响参数在历史行程内对车辆能耗的影响。In the embodiment of the present application, the wind speed influence parameters are obtained by performing nonlinear normalization on the wind speed influence data, that is, the dimensional wind speed influence data is converted into a dimensionless score, so that the driver can determine the wind speed influence parameters through the score. Impact on vehicle energy consumption during historical trips.
在一种可能的实现方式中，所述风速影响参数x 14通过公式
Figure PCTCN2021105015-appb-000015
确定，其中，
Figure PCTCN2021105015-appb-000016
n表示所述历史行程内的采样点的总数，i表示所述历史行程内的第i个采样点，i＝1,2,…,n，矢量
Figure PCTCN2021105015-appb-000017
表示在第i个采样点采集到的风向，矢量
Figure PCTCN2021105015-appb-000018
表示在第i个采样点采集到的所述车辆的航向，V i表示在第i个采样点采集到的风速，v i表示在第i个采样点采集到的所述车辆的行驶速度，θ和e为预设的常数。 In a possible implementation, the wind speed influence parameter x 14 is calculated by the formula
Figure PCTCN2021105015-appb-000015
OK, where,
Figure PCTCN2021105015-appb-000016
n represents the total number of sampling points in the historical trip, i represents the ith sampling point in the historical trip, i=1,2,...,n, vector
Figure PCTCN2021105015-appb-000017
Represents the wind direction collected at the ith sampling point, vector
Figure PCTCN2021105015-appb-000018
represents the heading of the vehicle collected at the ith sampling point, V i represents the wind speed collected at the ith sampling point, vi represents the traveling speed of the vehicle collected at the ith sampling point, θ and e are preset constants.
在本申请实施例中，通过上述公式计算风速影响参数，有利于提高计算风速影响参数的合理性。In the embodiment of the present application, calculating the wind speed influence parameter by the above formula is beneficial to improve the rationality of calculating the wind speed influence parameter.
在一种可能的实现方式中，所述开窗影响参数通过对开窗影响数据进行线性归一化处理得到的，所述开窗影响数据包括所述预设里程内采集的一种或多种所述车辆的车窗开合状态组合，所述车辆的车窗开合状态组合包括所述车辆中每扇车窗的开合状态。In a possible implementation manner, the windowing influence parameter is obtained by performing linear normalization processing on the windowing influence data, and the windowing influence data includes one or more kinds of data collected within the preset mileage. The window opening and closing state combination of the vehicle includes the opening and closing state of each vehicle window in the vehicle.
在本申请实施例中，通过对开窗影响数据进行线性归一化处理得到开窗影响参数，即将有量纲的开窗影响数据转换为无量纲的评分，以便于驾驶员可以通过评分确定开窗影响参数在历史行程内对车辆能耗的影响。In the embodiment of the present application, the windowing influence parameters are obtained by performing linear normalization on the windowing influence data, that is, the dimensional windowing influence data is converted into a dimensionless score, so that the driver can determine the opening of the window through the score. The influence of window influence parameters on vehicle energy consumption during historical trips.
在一种可能的实现方式中，所述开窗影响参数x 21通过公式
Figure PCTCN2021105015-appb-000019
确定，其中，M W表示所述车辆的车窗开合状态组合的总数，l”表示所述车窗的第l”个开合状态组合，l”＝1,2,…,M W，R i表示单位时间内所述车辆的车窗处于第l”个开合状态组合消耗的所述车辆的功耗，R max表示所述单位时间内所述车辆的车窗处于第一开合状态组合消耗的所述车辆的功耗，T max表示所述车辆行驶所述历史行程所需的总时长，所述第一开合状态组合为所述车辆中车窗的全部开合状态组合中所消耗能量最大的开合状态组合。 In a possible implementation, the windowing influence parameter x 21 is determined by the formula
Figure PCTCN2021105015-appb-000019
Determine, where MW represents the total number of window opening and closing state combinations of the vehicle, l” represents the l” th opening and closing state combination of the vehicle window, l”=1, 2, . . . , MW , R i represents the power consumption of the vehicle when the window of the vehicle is in the 1"th opening and closing state combination within a unit time, and Rmax represents the first opening and closing state combination of the vehicle window in the unit time. The power consumption of the vehicle consumed, T max represents the total time required for the vehicle to travel the historical trip, and the first combination of opening and closing states is consumed in all combinations of opening and closing states of the windows in the vehicle The combination of open and closed states with the greatest energy.
在本申请实施例中，通过上述公式计算开窗影响参数，有利于提高计算开窗影响参数的合理性。In the embodiment of the present application, the calculation of the window-opening influence parameter by the above formula is beneficial to improve the rationality of the calculation of the window-opening influence parameter.
第三方面，提供了一种车辆能耗的评分装置，所述装置包括用于执行第一方面或第一方面任一种可能实现方式中的各个单元。In a third aspect, an apparatus for scoring vehicle energy consumption is provided, the apparatus including each unit for implementing the first aspect or any possible implementation manner of the first aspect.
第四方面，提供了一种车辆能耗的评分装置，所述装置包括用于执行第二方面或第二方面任一种可能实现方式中的各个单元。In a fourth aspect, an apparatus for scoring energy consumption of a vehicle is provided, the apparatus including each unit for implementing the second aspect or any possible implementation manner of the second aspect.
第五方面，提供了一种计算设备，所述装置具有实现上述第一方面的方法设计中的装置的功能。这些功能可以通过硬件实现，也可以通过硬件执行相应的软件实现。所述硬件或软件包括一个或多个与上述功能相对应的单元。In a fifth aspect, a computing device is provided, and the apparatus has the function of implementing the apparatus in the method design of the first aspect. These functions can be implemented by hardware or by executing corresponding software by hardware. The hardware or software includes one or more units corresponding to the above functions.
第六方面，提供了一种计算设备，所述装置具有实现上述第二方面的方法设计中的装置的功能。这些功能可以通过硬件实现，也可以通过硬件执行相应的软件实现。所述硬件或软件包括一个或多个与上述功能相对应的单元。In a sixth aspect, a computing device is provided, and the apparatus has the function of implementing the apparatus in the method design of the second aspect. These functions can be implemented by hardware or by executing corresponding software by hardware. The hardware or software includes one or more units corresponding to the above functions.
第七方面，提供了一种计算设备，包括输入输出接口、处理器和存储器。该处理器用于控制输入输出接口收发信号或信息，该存储器用于存储计算机程序，该处理器用于从存储器中调用并运行该计算机程序，使得该计算设备执行上述第一方面中的方法。In a seventh aspect, a computing device is provided, including an input-output interface, a processor, and a memory. The processor is used to control the input and output interface to send and receive signals or information, the memory is used to store a computer program, and the processor is used to call and run the computer program from the memory, so that the computing device executes the method in the first aspect.
第八方面，提供了一种计算设备，包括输入输出接口、处理器和存储器。该处理器用于控制输入输出接口收发信号或信息，该存储器用于存储计算机程序，该处理器用于从存储器中调用并运行该计算机程序，使得该计算设备执行上述第二方面中的方法。In an eighth aspect, a computing device is provided, including an input-output interface, a processor, and a memory. The processor is used to control the input and output interface to send and receive signals or information, the memory is used to store a computer program, and the processor is used to call and run the computer program from the memory, so that the computing device executes the method in the second aspect.
第九方面，提供了一种计算机程序产品，所述计算机程序产品包括：计算机程序代码，当所述计算机程序代码在计算机上运行时，使得计算机执行上述各方面中的方法。In a ninth aspect, a computer program product is provided, the computer program product comprising: computer program code, when the computer program code is executed on a computer, causing the computer to execute the methods in the above aspects.
第十方面，提供了一种计算机可读介质，所述计算机可读介质存储有程序代码，当所述计算机程序代码在计算机上运行时，使得计算机执行上述各方面中的方法。In a tenth aspect, a computer-readable medium is provided, and the computer-readable medium stores program codes, which, when executed on a computer, cause the computer to execute the methods in the above-mentioned aspects.
第十一方面，提供了一种芯片***，该芯片***包括处理器，用于计算设备实现上述方面中所涉及的功能，例如，生成，接收，发送，或处理上述方法中所涉及的数据和/或信息。在一种可能的设计中，所述芯片***还包括存储器，所述存储器，用于保存计算设备必要的程序指令和数据。该芯片***，可以由芯片构成，也可以包括芯片和其他分立器件。In an eleventh aspect, a chip system is provided, the chip system includes a processor for a computing device to implement the functions involved in the above aspects, for example, generating, receiving, sending, or processing data and data involved in the above methods. / or information. In a possible design, the chip system further includes a memory for storing necessary program instructions and data of the computing device. The chip system may be composed of chips, or may include chips and other discrete devices.
附图说明Description of drawings
图1是本申请实施例的能耗评分模型适用的***架构的示意图。FIG. 1 is a schematic diagram of a system architecture to which an energy consumption scoring model according to an embodiment of the present application is applicable.
图2是本申请实施例的车辆能耗的评分方法的示意性流程图。FIG. 2 is a schematic flowchart of a method for scoring vehicle energy consumption according to an embodiment of the present application.
图3是本申请实施例的计算5种能耗影响因子的评分的示意性流程图。FIG. 3 is a schematic flowchart of calculating scores of five energy consumption influencing factors according to an embodiment of the present application.
图4是本申请实施例的用户界面的示意图。FIG. 4 is a schematic diagram of a user interface according to an embodiment of the present application.
图5是本申请另一实施例的用户界面的示意图。FIG. 5 is a schematic diagram of a user interface according to another embodiment of the present application.
图6是本申请实施例适用的***架构的示意图。FIG. 6 is a schematic diagram of a system architecture to which an embodiment of the present application is applicable.
图7是本申请实施例的能耗评分模型的训练方法的示意性流程图。FIG. 7 is a schematic flowchart of a training method for an energy consumption scoring model according to an embodiment of the present application.
图8是本申请实施例的车辆能耗的评分装置的示意图。FIG. 8 is a schematic diagram of a vehicle energy consumption scoring device according to an embodiment of the present application.
图9是本申请另一实施例的计算设备的示意性框图。FIG. 9 is a schematic block diagram of a computing device according to another embodiment of the present application.
具体实施方式detailed description
下面将结合附图，对本申请中的技术方案进行描述。The technical solutions in the present application will be described below with reference to the accompanying drawings.
为了便于理解，下文结合图1介绍本申请实施例的能耗评分模型适用的***架构的示意图。图1所示的***100包括执行设备210、训练设备220、数据库230、客户设备240、数据存储***250以及数据采集设备260。For ease of understanding, a schematic diagram of a system architecture to which the energy consumption scoring model of the embodiment of the present application is applicable is introduced below with reference to FIG. 1 . The system 100 shown in FIG. 1 includes an execution device 210 , a training device 220 , a database 230 , a client device 240 , a data storage system 250 , and a data acquisition device 260 .
数据采集设备260用于采集车辆能耗影响数据并存入数据库230，训练设备220基于数据库230中维护的训练数据生成目标模型/规则201(即能耗评分模型)。The data collection device 260 is used to collect vehicle energy consumption impact data and store it in the database 230 .
需要说明的是，上述能耗评分模型的训练过程请参见下文中图7所示的方法，为了简洁，在此不再具体赘述。It should be noted that, for the training process of the above-mentioned energy consumption scoring model, please refer to the method shown in FIG. 7 below, and for the sake of brevity, details are not repeated here.
训练设备220得到的目标模型/规则可以应用不同的***或设备中。在本申请实施例中，上述目标模型/规则可以应用于车载设备中。The target models/rules obtained by training the device 220 can be applied in different systems or devices. In this embodiment of the present application, the above-mentioned target model/rule may be applied to an in-vehicle device.
执行设备210可以调用数据存储***250中的数据、代码等，也可以将数据、指令等存入数据存储***250中。可选地，上述执行设备210可以包括计算模块211、输入/输出(input/output，I/O)接口212。The execution device 210 can call data, codes, etc. in the data storage system 250 , and can also store data, instructions, etc. in the data storage system 250 . Optionally, the foregoing execution device 210 may include a computing module 211 and an input/output (input/output, I/O) interface 212 .
I/O接口212，用于与外部设备进行数据交互，“用户”可以通过客户设备240向I/O接口212输入数据。在本申请实施例中，上述客户设备240可以是车辆260中的数据采集设备。The I/O interface 212 is used for data interaction with external devices, and the “user” can input data to the I/O interface 212 through the client device 240 . In this embodiment of the present application, the above-mentioned client device 240 may be a data collection device in the vehicle 260 .
计算模块211使用目标模型/规则201对车辆的能耗影响因子进行处理，以确定每个能耗影响因子对应的评分，其中每个能耗影响因子对应的评分用于指示该能耗影响因子对车辆能耗的影响。The calculation module 211 uses the target model/rule 201 to process the energy consumption influence factors of the vehicle to determine a score corresponding to each energy consumption influence factor, wherein the score corresponding to each energy consumption influence factor is used to indicate the pair of energy consumption influence factors. The impact of vehicle energy consumption.
最后，I/O接口212将处理结果返回给客户设备240，提供给用户。可选地，上述客户设备240可以是车辆中的显示装置，以通过显示装置提醒用户每个能耗影响因子对应的评分。上述客户设备240还可以是与车辆绑定的驾驶员的终端设备的显示装置，本申请实施例对此不作限定。Finally, the I/O interface 212 returns the processing result to the client device 240, which is provided to the user. Optionally, the above-mentioned client equipment 240 may be a display device in the vehicle, so as to remind the user of the score corresponding to each energy consumption influencing factor through the display device. The above-mentioned client device 240 may also be a display device of a driver's terminal device bound to the vehicle, which is not limited in this embodiment of the present application.
需要说明的是，上述终端设备可以是手机、平板电脑、笔记本电脑等。It should be noted that the above-mentioned terminal device may be a mobile phone, a tablet computer, a notebook computer, or the like.
在图1中，用户可以手动指定输入执行设备210中的数据，例如，在I/O接口212提供的界面中操作。另一种情况下，客户设备240可以自动地向I/O接口212输入数据并获得结果，如果客户设备240自动输入数据需要获得用户的授权，用户可以在客户设备240中设置相应权限。用户可以在客户设备240查看执行设备210输出的结果，具体的呈现形式可以是显示、声音、动作等具体方式。客户设备240也可以作为数据采集端将采集到消息的特征数据存入数据库230。In FIG. 1 , a user may manually specify data in input execution device 210 , eg, to operate in an interface provided by I/O interface 212 . In another case, the client device 240 can automatically input data to the I/O interface 212 and obtain the result. If the client device 240 automatically inputs data and needs to obtain the user's authorization, the user can set the corresponding permission in the client device 240 . The user can view the result output by the execution device 210 on the client device 240, and the specific presentation form can be a specific manner such as display, sound, and action. The client device 240 can also act as a data collection end to store the characteristic data of the collected messages into the database 230 .
值得注意的，图1仅是本发明实施例提供的一种***架构的示意图，图1中所示设备、器件、模块等之间的位置关系不构成任何限制，例如，在图1中，数据存储***250相对执行设备210是外部存储器，在其它情况下，数据存储***250也可以将数据存储***250置于执行设备210中。It should be noted that FIG. 1 is only a schematic diagram of a system architecture provided by an embodiment of the present invention, and the positional relationship between the devices, devices, modules, etc. shown in FIG. 1 does not constitute any limitation. For example, in FIG. 1 , the data The storage system 250 is an external memory relative to the execution device 210 , and in other cases, the data storage system 250 may also place the data storage system 250 in the execution device 210 .
在一种可能的实现方式中，上述执行设备210、数据存储***250以及客户设备240可以是车辆260中配置的设备。In a possible implementation manner, the above-mentioned execution device 210 , data storage system 250 and client device 240 may be devices configured in the vehicle 260 .
传统的车辆能耗的评分方法是通过将车辆中驾驶员的驾驶行为数据，以及车辆所行驶的道路的道路数据，输入能耗评分模型，以计算预设行程内车辆能耗的评分。其中，驾驶 行为数据包括预设时间段内驾驶员加减速的频繁程度，预设时间段内驾驶员加减速的剧烈程度等。道路数据包括道路等级以及道路不平程度等。The traditional scoring method of vehicle energy consumption is to input the driving behavior data of the driver in the vehicle and the road data of the road the vehicle travels into the energy consumption scoring model to calculate the vehicle energy consumption score within the preset trip. The driving behavior data includes the frequency of the driver's acceleration and deceleration within the preset time period, the severity of the driver's acceleration and deceleration within the preset time period, and the like. Road data includes road grade and road unevenness.
然而，随着车辆电子化程度越来越高，影响车辆能耗的因素也越来越多，上述传统的车辆能耗的评分方法仅基于驾驶行为数据以及道路数据进行，使得计算出的车辆能耗的评分并不准确。However, with the increasing degree of vehicle electronics, there are more and more factors affecting vehicle energy consumption. The above-mentioned traditional vehicle energy consumption scoring method is only based on driving behavior data and road data, so that the calculated vehicle energy consumption The consumption rating is not accurate.
为了避免上述问题，本申请实施例提供了一种新的车辆能耗的评分方法，即基于目前车辆中影响车辆能耗的因素，重新调整了能耗影响因子。在本申请实施例中，上述能耗影响因子主要分为五类，下文先对上述五类能耗影响因子进行介绍。In order to avoid the above problem, an embodiment of the present application provides a new scoring method for vehicle energy consumption, that is, based on the factors affecting vehicle energy consumption in the current vehicle, the energy consumption influencing factor is readjusted. In the embodiments of the present application, the above-mentioned energy consumption influencing factors are mainly divided into five categories, and the above-mentioned five types of energy consumption influencing factors are introduced first.
第一类能耗影响因子x 1：环境影响因子，用于指示预设行程内车辆所在的行驶环境对车辆能耗的影响程度。环境影响因子主要包括外温非适宜程度影响参数、天气影响参数、昼夜影响参数或风速影响参数中的一种或多种因子。下文针对上述4种环境影响参数分别进行介绍。 The first type of energy consumption influence factor x 1 : an environmental influence factor, which is used to indicate the degree of influence on the energy consumption of the vehicle by the driving environment where the vehicle is located within the preset trip. The environmental influence factors mainly include one or more of the influence parameters of the unsuitability of the external temperature, the weather influence parameters, the day and night influence parameters or the wind speed influence parameters. The following describes the above four environmental impact parameters respectively.
1)外温非适宜程度影响参数，用于指示预设行程内位于预设适宜温度区间之外的环境温度对车辆中部件的工作状态的影响程度。1) The influence parameter of the unsuitable degree of external temperature, which is used to indicate the influence degree of the ambient temperature outside the preset suitable temperature range within the preset travel on the working state of the components in the vehicle.
通常，外温直接影响是否对车辆中的部件进行冷却或者加热。例如，当外温过低时，为了给车辆中的部件提供合适的工作温度，车辆需要消耗一定能源为车辆中的部件进行升温。又例如，当外温过高时，为了给车辆中的部件提供合适的工作温度，车辆需要消耗一定能源为车辆中的部件进行降温。因此，外温非适宜程度影响参数对车辆的能耗的影响较为重要。Typically, the outside temperature directly affects whether components in the vehicle are cooled or heated. For example, when the external temperature is too low, in order to provide a suitable working temperature for the components in the vehicle, the vehicle needs to consume a certain amount of energy to heat up the components in the vehicle. For another example, when the external temperature is too high, in order to provide a suitable working temperature for the components in the vehicle, the vehicle needs to consume a certain amount of energy to cool the components in the vehicle. Therefore, the influence parameters of the unsuitable degree of external temperature on the energy consumption of the vehicle are more important.
申请人发现外温非适宜程度影响参数对车辆的能耗的影响可以视为线性的，则外温非适宜程度影响参数可以通过对外温非适宜数据进行线性归一化处理得到，其中，外温非适宜程度数据包括预设行程内车辆外部环境温度。The applicant found that the influence of the influence parameters of the unsuitability of the outside temperature on the energy consumption of the vehicle can be regarded as linear, and the influence parameters of the unsuitability of the outside temperature can be obtained by linearly normalizing the unsuitability data of the outside temperature. The unsuitability data includes the ambient temperature outside the vehicle within the preset trip.
假设T 1表示车辆中部件的适宜工作温度区间的下限，T 2表示上述部件的适宜工作温度区间的上限，如此，该部件对应的适宜工作温度区间为[T 1,T 2]。则外温非适宜程度影响参数x 11可以通过公式
Figure PCTCN2021105015-appb-000020
确定，且
Figure PCTCN2021105015-appb-000021
其中，Δt max为预设值，n表示上述预设行程内的采样点的总数，i表示上述预设行程内的第i个采样点，t i表示在所述第i个采样点采集的所述车辆外部环境温度，i＝1,2,…,n，。 Suppose T 1 represents the lower limit of the suitable working temperature range of the components in the vehicle, and T 2 represents the upper limit of the suitable working temperature range of the above-mentioned components. Thus, the suitable working temperature range corresponding to the component is [T 1 , T 2 ]. Then the influence parameter x 11 of the unsuitable degree of external temperature can be calculated by the formula
Figure PCTCN2021105015-appb-000020
sure, and
Figure PCTCN2021105015-appb-000021
Wherein, Δt max is a preset value, n represents the total number of sampling points in the preset stroke, i represents the ith sampling point in the preset stroke, and t i represents all the sampling points collected at the ith sampling point. the external ambient temperature of the vehicle, i=1,2,...,n,.
需要说明的是，Δt max可以在汽车出厂时由厂商为车辆配置。进一步地，厂商可以基于车辆常规行驶环境设定。例如，车辆的常规行驶环境为中国，上述Δt max可以设定为50摄氏度。 It should be noted that Δt max can be configured for the vehicle by the manufacturer when the vehicle leaves the factory. Further, the manufacturer can set it based on the normal driving environment of the vehicle. For example, the normal driving environment of the vehicle is China, and the above Δt max may be set to 50 degrees Celsius.
还需要说明的是，上述车辆中部件可以指车辆中比较重要的部件，例如发动机等。上述车辆中部件也可以指车辆中的多个或全部部件，本申请实施例对此不作限定。It should also be noted that the above-mentioned components in a vehicle may refer to relatively important components in a vehicle, such as an engine and the like. The above-mentioned components in a vehicle may also refer to multiple or all components in a vehicle, which are not limited in the embodiments of the present application.
若上述车辆中的部件指车辆中的多个或全部部件时，为了提高计算能耗评分的准确性，不同的部件对应的适宜外温区间可以不同。当然，如果为了简化适宜外温区间的配置过程，可以为多个或全部部件配置相同的适宜外温区间，本申请实施例对此不作限定。If the above-mentioned components in the vehicle refer to multiple or all of the components in the vehicle, in order to improve the accuracy of calculating the energy consumption score, the appropriate external temperature ranges corresponding to different components may be different. Of course, in order to simplify the configuration process of the suitable external temperature range, the same suitable external temperature range may be configured for multiple or all components, which is not limited in this embodiment of the present application.
2)天气影响参数，用于指示预设行程内天气对车辆的工作状态的影响程度。2) The weather influence parameter is used to indicate the influence degree of the weather in the preset trip on the working state of the vehicle.
一方面，雨雪天气下车辆中需要启动的部件较多，例如，雨刮器、后窗加热装置等装置。启动的部件越多，会增加车辆的能耗。另一方面，雨雪天气下，路面湿滑导致道路的 附着力下降，车辆的行驶速度较缓慢，导致车辆需要较大的驱动力，也会增加车辆的能耗。因此，天气影响参数对车辆的能耗的影响较为重要。On the one hand, there are many components in a vehicle that need to be activated in rainy and snowy weather, such as wipers, rear window heating devices and other devices. The more components that are activated, the higher the energy consumption of the vehicle. On the other hand, in rainy and snowy weather, the road surface is slippery and the adhesion of the road is reduced, and the driving speed of the vehicle is slow, which causes the vehicle to require a large driving force and also increases the energy consumption of the vehicle. Therefore, the influence of weather influence parameters on the energy consumption of vehicles is more important.
申请人发现天气影响参数对车辆的能耗的影响可以视为线性的，则天气影响参数可以通过对车辆的天气数据进行线性归一化处理得到，其中天气影响数据包括预设行程内车辆的雨刮器所工作的一个或多个档位、以及预设行程内雨刮器处于每个档位的工作时长。The applicant found that the influence of the weather influence parameters on the energy consumption of the vehicle can be regarded as linear, and the weather influence parameters can be obtained by performing linear normalization on the weather data of the vehicle, wherein the weather influence data includes the wipers of the vehicle within the preset itinerary. The working gear or gears, and the working time of the wiper in each gear within the preset stroke.
需要说明的是，天气数据可以基于车辆中的传感器进行采集，然而，不是全部车辆中都安装有可以对天气进行感知的传感器，因此，为了扩大本申请的应用场景，可以将雨刮器的工作档位，以及每个档位对应的工作时长作为上述天气数据。It should be noted that the weather data can be collected based on the sensors in the vehicle. However, not all vehicles are equipped with sensors that can sense the weather. Therefore, in order to expand the application scenarios of the present application, the working gear of the wiper can be adjusted. , and the working hours corresponding to each gear as the above weather data.
可选地，上述天气影响参数x 12可以通过公式
Figure PCTCN2021105015-appb-000022
确定，其中，M Y表示所述车辆的雨刮器的工作档位的总数，l表示所述雨刮器工作的第l工作档位，l＝1,2,…,M Y，P l表示单位时间内所述雨刮器工作在所述第l工作档位所需的功耗，T l表示所述雨刮器工作在第l档位的时长，P max表示单位时间内所述雨刮器的第一工作档位对应的功耗，T max表示所述车辆行驶所述预设行程所需的总时长，所述第一工作档位为所述雨刮器的全部工作档位中消耗所述车辆的能耗最大的工作档位。 Optionally, the above-mentioned weather influence parameter x 12 can be calculated by the formula
Figure PCTCN2021105015-appb-000022
Determine, wherein, MY represents the total number of working gears of the wiper of the vehicle, l represents the first working gear of the wiper , l=1, 2, . The power consumption required for the wiper to work in the first working gear, T1 represents the duration of the wiper working in the first gear, and Pmax represents the power corresponding to the first working gear of the wiper per unit time. energy consumption, T max represents the total time required for the vehicle to travel the preset trip, and the first working gear is the working gear that consumes the largest energy consumption of the vehicle among all the working gears of the wiper.
需要说明的是，在本申请实施例中，还可以基于车辆中与天气有关的其他部件的工作状态数据作为天气数据，例如，还可以使用后窗加热装置的工作状态数据作为天气数据，又例如，还可以综合后窗加热装置以及雨刮器的工作状态数据作为天气数据。本申请实施例对此不作限定。It should be noted that, in this embodiment of the present application, the weather data may also be based on the working state data of other weather-related components in the vehicle, for example, the working state data of the rear window heating device may also be used as the weather data, and for example , and can also integrate the working status data of the rear window heating device and the wiper as weather data. This embodiment of the present application does not limit this.
3)昼夜影响参数，用于指示预设行程内昼夜环境对车辆的工作状态的影响程度。3) The day and night influence parameter is used to indicate the influence degree of the day and night environment on the working state of the vehicle within the preset itinerary.
通常，夜间行驶的车辆中需要启动的部件较多，例如，汽车前照灯、车尾灯等照明装置。启动的部件越多，会增加车辆的能耗。因此，昼夜影响参数对车辆的能耗的影响较为重要。Generally, there are many components that need to be activated in a vehicle driving at night, for example, lighting devices such as automobile headlights and taillights. The more components that are activated, the higher the energy consumption of the vehicle. Therefore, the influence of day and night influence parameters on the energy consumption of the vehicle is more important.
申请人发现昼夜影响参数对车辆的能耗的影响可以视为线性的，则昼夜影响参数可以通过对车辆的昼夜数据进行线性归一化处理得到。其中，昼夜影响数据包括预设行程内车辆的车灯所工作的一个或多个档位、以及预设行程内车灯处于每个档位的工作时长。The applicant found that the influence of the day and night influence parameters on the energy consumption of the vehicle can be regarded as linear, and the day and night influence parameters can be obtained by linearly normalizing the day and night data of the vehicle. Wherein, the day and night influence data includes one or more gears in which the lights of the vehicle work in the preset trip, and the working time of the lights in each gear in the preset trip.
需要说明的是，昼夜数据可以基于车辆中的传感器进行采集，然而，不是全部车辆中都安装有可以对昼夜进行感知的传感器，因此，为了扩大本申请的应用场景，可以将汽车前照灯的工作档位，以及每个档位对应的工作时长作为上述昼夜数据。It should be noted that the day and night data can be collected based on the sensors in the vehicle. However, not all vehicles are equipped with sensors that can sense day and night. Therefore, in order to expand the application scenarios of this application, the headlights of the car can be used. The working gears and the working hours corresponding to each gear are used as the above day and night data.
可选地，所述昼夜影响参数x 13通过公式
Figure PCTCN2021105015-appb-000023
确定，其中，M D表示所述车辆的车灯的工作档位的总数，l'表示所述车灯工作的第l'工作档位，l'＝1,2,…,M D，D l'表示单位时间内所述车灯工作在第l'工作档位所需的功耗，T l'表示所述车灯工作在第l'工作档位的时长，D max表示单位时间内所述车灯工作在第二工作档位所需的功耗，T max表示所述车辆行驶所述预设行程所需的总时长，所述第二工作档位为所述车灯的全部工作档位中消耗所述车辆的能耗最大的工作档位。 Optionally, the day and night influence parameter x 13 is determined by the formula
Figure PCTCN2021105015-appb-000023
Determine, wherein, MD represents the total number of working gears of the lights of the vehicle, l' represents the l'th working gear of the lights, l '=1,2,..., MD , Dl ' represents the power consumption required for the vehicle lamp to work in the 1'th working gear per unit time, T l' represents the duration of the vehicle lamp working in the l'th working gear, and Dmax represents the The power consumption required for the lamp to work in the second working gear, Tmax represents the total time required for the vehicle to travel the preset trip, and the second working gear is all the working gears of the vehicle lamp. The working gear that consumes the most energy of the vehicle.
需要说明的是，在本申请实施例中，还可以基于车辆中与昼夜有关的其他部件的工作 状态数据作为昼夜数据，例如，还可以使用车尾灯的工作状态数据作为昼夜数据，又例如，还可以综合车尾灯以及汽车前照灯的工作状态数据作为昼夜数据。本申请实施例对此不作限定。It should be noted that, in this embodiment of the present application, the working state data of other components related to day and night in the vehicle can also be used as the day and night data. For example, the working state data of the tail lights of the vehicle can also be used as the day and night data. The working status data of taillights and headlights can be integrated as day and night data. This embodiment of the present application does not limit this.
4)风速影响参数，用于指示预设行程内风速对车辆的工作状态的影响程度。4) The wind speed influence parameter is used to indicate the influence degree of the wind speed in the preset trip on the working state of the vehicle.
通常，逆风行驶的车辆会遇见较大的阻力，汽车所需的驱动力较大。顺风行驶的车辆遇见的推动力较大，汽车所需的驱动力较小。因此，风速影响参数对车辆的能耗的影响较为重要。Typically, a vehicle traveling against the wind will encounter greater resistance, and the driving force required by the car is greater. A vehicle traveling downwind encounters more driving force, and a car requires less driving force. Therefore, the influence of wind speed influencing parameters on the energy consumption of vehicles is more important.
申请人发现风速影响参数对车辆的能耗的影响可以视为非线性的，则风速影响参数可以通过对车辆的风速数据进行非线性归一化处理得到。可选地，可以将风速投影到车辆的航向上，以获取速度分量作为风速数据，以确定风速影响参数。The applicant found that the influence of the wind speed influence parameter on the energy consumption of the vehicle can be regarded as nonlinear, and the wind speed influence parameter can be obtained by performing nonlinear normalization processing on the wind speed data of the vehicle. Optionally, the wind speed can be projected onto the heading of the vehicle to obtain the speed component as wind speed data to determine the wind speed influence parameter.
可选地，上述风速影响参数x 14通过公式
Figure PCTCN2021105015-appb-000024
确定，其中，
Figure PCTCN2021105015-appb-000025
n表示所述预设行程内的采样点的总数，i表示所述预设行程内的第i个采样点，i＝1,2,…,n，矢量
Figure PCTCN2021105015-appb-000026
表示在第i个采样点采集到的风向，矢量
Figure PCTCN2021105015-appb-000027
表示在第i个采样点采集到的所述车辆的航向，V i表示第i个采样点对应的风速，v i表示第i个采样点对应的所述车辆的行驶速度，θ为预设的常数，通常可以取0.05，e为常数，通常可以取为2.718281828。 Optionally, the above-mentioned wind speed influence parameter x 14 is calculated by the formula
Figure PCTCN2021105015-appb-000024
OK, where,
Figure PCTCN2021105015-appb-000025
n represents the total number of sampling points in the preset stroke, i represents the ith sampling point in the preset stroke, i=1,2,...,n, vector
Figure PCTCN2021105015-appb-000026
Represents the wind direction collected at the ith sampling point, vector
Figure PCTCN2021105015-appb-000027
represents the heading of the vehicle collected at the ith sampling point, V i represents the wind speed corresponding to the ith sampling point, v i represents the traveling speed of the vehicle corresponding to the ith sampling point, and θ is a preset A constant, usually 0.05, e is a constant, usually 2.718281828.
第二类能耗影响因子x 2：舒适习惯影响因子，用于指示预设行程内驾驶员对驾驶环境舒适度的需求对车辆的能耗的影响程度。通常，驾驶员为了提高驾驶的舒适度，会对车辆中部件的工作状态进行调整。例如，驾驶员可以控制车窗的开合，驾驶员控制空调的工作状态，驾驶员可以调节座位温度等。下文主要介绍驾驶员控制车窗的开合对车辆的能耗的影响，以及车辆中空调的工作状态对车辆的能耗的影响，其中空调的工作状态对车辆的能耗的影响可以细化为空调依赖影响参数、空调温度偏好程度影响参数以及空调风挡偏好程度影响参数三个方面。 The second type of energy consumption influence factor x 2 : a comfort habit influence factor, which is used to indicate the degree of influence of the driver's demand for the comfort of the driving environment on the energy consumption of the vehicle within the preset itinerary. Usually, the driver adjusts the working state of the components in the vehicle in order to improve the driving comfort. For example, the driver can control the opening and closing of the windows, the driver can control the working state of the air conditioner, and the driver can adjust the seat temperature. The following mainly introduces the influence of the driver's control of the opening and closing of the window on the energy consumption of the vehicle, and the influence of the working state of the air conditioner in the vehicle on the energy consumption of the vehicle. The influence of the working state of the air conditioner on the energy consumption of the vehicle can be refined as follows There are three aspects: the influence parameter of air conditioning dependence, the influence parameter of air conditioning temperature preference degree and the influence parameter of air conditioning windshield preference degree.
1)开窗影响参数，当驾驶员控制车窗处于打开状态时，车辆行驶过程中遇到的阻力较大，当驾驶员控制车窗处于闭合状态时，车辆行驶过程中遇到的阻力较小。因此，开窗影响参数对车辆的能耗的影响较大。1) Window opening affects parameters. When the driver controls the window to be open, the resistance encountered by the vehicle during driving is relatively large. When the driver controls the window to be closed, the resistance encountered by the vehicle during driving is relatively small. . Therefore, the influence parameters of window opening have a great influence on the energy consumption of the vehicle.
申请人发现开窗影响参数对车辆的能耗的影响可以视为线性的，则开窗影响参数可以通过对车辆的开窗数据进行线性归一化处理得到，车辆的开窗数据包括所述预设里程内采集的一种或多种所述车辆的车窗开合状态组合，所述车辆的车窗开合状态组合包括所述车辆中每扇车窗的开合状态。例如，在预设里程内的某一采集时刻采集到的车辆的车窗开合状态组合包括车辆门窗1处于闭合状态，车辆门窗2处于打开状态，车辆门窗3处于闭合状态，车辆门窗4处于闭合状态。The applicant found that the influence of the window-opening influence parameter on the energy consumption of the vehicle can be regarded as linear, then the window-opening influence parameter can be obtained by linearly normalizing the window-opening data of the vehicle, and the window-opening data of the vehicle includes the pre- One or more window opening and closing state combinations of the vehicle collected within the mileage are assumed, and the vehicle window opening and closing state combinations include the opening and closing states of each vehicle window in the vehicle. For example, the combination of vehicle window opening and closing states collected at a certain collection time within the preset mileage includes vehicle door and window 1 being closed, vehicle door and window 2 being open, vehicle door and window 3 being closed, and vehicle door and window 4 being closed condition.
需要说明的是，上述车辆的车窗不仅可以包括车辆的门窗，还可以包括车辆的天窗等，本申请实施例对此不作限定。It should be noted that the above-mentioned vehicle window of the vehicle may include not only the door and window of the vehicle, but also the sunroof of the vehicle, etc., which is not limited in the embodiment of the present application.
可选地，所述开窗影响参数x 21可以通过公式
Figure PCTCN2021105015-appb-000028
确定，上述M W表示所述 车辆的车窗开合状态组合的总数，l”表示所述车窗的第l”个开合状态组合，l”＝1,2,…,M W，R i表示单位时间内所述车辆的车窗处于第l”个开合状态组合消耗的所述车辆的功耗，R max表示单位时间内所述车辆的车窗处于第一开合状态组合消耗的所述车辆的功耗，T max表示所述车辆行驶所述预设行程所需的总时长，所述第一开合状态组合为所述车辆中车窗的全部开合状态组合中所消耗能量最大的开合状态组合。 Optionally, the windowing influence parameter x 21 can be calculated by the formula
Figure PCTCN2021105015-appb-000028
Determine, the above MW represents the total number of window opening and closing state combinations of the vehicle, l" represents the l" th opening and closing state combination of the vehicle window, l"=1,2,..., MW ,R i Represents the power consumption of the vehicle when the window of the vehicle is in the first opening and closing state in unit time, and Rmax represents the combined consumption of the window of the vehicle in the first opening and closing state per unit time. The power consumption of the vehicle, Tmax represents the total time required for the vehicle to travel the preset trip, and the first opening and closing state combination is the largest energy consumption among all opening and closing state combinations of the windows in the vehicle combination of opening and closing states.
2)空调依赖影响参数，用于指示在预设行程内空调的工作时长对车辆的能耗的影响程度。在预设行程内空调的工作时长越长，所消耗的车辆的能源量越大。因此，空调依赖因子对车辆的能耗的影响较大。2) The air conditioner depends on the influence parameter, which is used to indicate the degree of influence of the working time of the air conditioner on the energy consumption of the vehicle within the preset trip. The longer the working time of the air conditioner in the preset trip, the greater the energy consumption of the vehicle. Therefore, the air-conditioning dependence factor has a greater impact on the energy consumption of the vehicle.
申请人发现空调依赖影响参数对车辆的能耗的影响可以视为线性的，则空调依赖影响参数可以通过对车辆的空调依赖数据进行线性归一化处理得到。The applicant finds that the influence of the air-conditioning dependent influence parameter on the energy consumption of the vehicle can be regarded as linear, and the air-conditioning dependent influence parameter can be obtained by linearly normalizing the air-conditioning dependence data of the vehicle.
可选地，上述开空调依赖影响参数x 22可以通过公式
Figure PCTCN2021105015-appb-000029
确定，其中，M表示车辆行驶预设里程所需的驾驶总时长，t c表示上述预设里程内空调处于工作状态总时长。 Optionally, the above-mentioned air conditioner-dependent influence parameter x 22 can be calculated by the formula
Figure PCTCN2021105015-appb-000029
Determine, wherein, M represents the total driving time required for the vehicle to travel the preset mileage, and t c represents the total time that the air conditioner is in the working state within the preset mileage.
3)空调温度偏好程度影响参数，用于指示在预设行程内空调的工作温度对车辆的能耗的影响程度。在预设行程内空调的工作温度与车辆的外温差异越大，所消耗的车辆的能源量越大。因此，空调温度偏好程度影响参数对车辆的能耗的影响较大。3) The air conditioner temperature preference degree influence parameter, which is used to indicate the influence degree of the working temperature of the air conditioner on the energy consumption of the vehicle within the preset trip. The greater the difference between the working temperature of the air conditioner and the outside temperature of the vehicle within the preset trip, the greater the energy consumption of the vehicle. Therefore, the influence parameters of the air conditioning temperature preference degree have a greater influence on the energy consumption of the vehicle.
申请人发现空调温度偏好程度影响参数对车辆的能耗的影响可以视为线性的，则空调温度偏好程度影响参数可以通过对空调的温度数据进行线性归一化处理得到。The applicant finds that the influence of the air conditioner temperature preference degree influencing parameter on the energy consumption of the vehicle can be regarded as linear, and the air conditioner temperature preference degree influencing parameter can be obtained by linearly normalizing the temperature data of the air conditioner.
可选地，上述空调温度偏好程度影响参数x 23可以通过公式
Figure PCTCN2021105015-appb-000030
确定，其中，n表示所述预设行程内的采样点的总数，T ci表示在第i个采样点采集到的空调的工作温度，T cmax表示空调的最高温度极限值，T cmin表示空调的最低温度极限值，C i指示空调在第i个采样点的制冷模式为开启或者关闭，H i表示空调在第i个采样点的制热模式为开启或者关闭，i＝1,2,…,n。 Optionally, the above-mentioned air conditioner temperature preference degree influence parameter x 23 can be calculated by the formula
Figure PCTCN2021105015-appb-000030
Determine, where n represents the total number of sampling points in the preset itinerary, T ci represents the working temperature of the air conditioner collected at the ith sampling point, T cmax represents the maximum temperature limit value of the air conditioner, and T cmin represents the air conditioner’s maximum temperature. The lowest temperature limit value, C i indicates whether the cooling mode of the air conditioner at the ith sampling point is on or off, and H i indicates whether the heating mode of the air conditioner at the ith sampling point is on or off, i=1,2,…, n.
需要说明的是，上述C i和H i可以有0或1两个取值。其中，当C i＝0时，表示在第i个采样点空调的制冷模式为关闭。当C i＝1时，表示在第i个采样点空调的制冷模式为开启状态。当H i＝0时，表示在第i个采样点空调的制热模式为关闭。当H i＝1时，表示在第i个采样点空调的制热模式为开启状态。 It should be noted that the above C i and H i may have two values of 0 or 1. Wherein, when C i =0, it means that the cooling mode of the air conditioner is off at the i-th sampling point. When C i =1, it means that the cooling mode of the air conditioner at the ith sampling point is in the ON state. When H i =0, it means that the heating mode of the air conditioner is off at the ith sampling point. When H i =1, it means that the heating mode of the air conditioner is on at the i-th sampling point.
4)空调风挡偏好程度影响参数，用于指示在预设行程内空调风挡的工作档位对车辆的能耗的影响。在预设行程内空调风挡的工作档位越高，消耗的车辆的能源量越大。因此，空调风挡偏好程度影响参数对车辆的能耗的影响较大。4) The air-conditioning windshield preference degree influence parameter is used to indicate the influence of the working gear of the air-conditioning windshield on the energy consumption of the vehicle within the preset travel. The higher the working gear of the air-conditioning windshield within the preset travel, the greater the energy consumption of the vehicle. Therefore, the influence parameter of air-conditioning windshield preference degree has a great influence on the energy consumption of the vehicle.
申请人发现空调风挡偏好程度影响参数对车辆的能耗的影响可以视为线性的，则空调风挡偏好程度影响参数可以通过对空调的风挡数据进行线性归一化处理得到。The applicant found that the influence of the air-conditioning windshield preference degree influencing parameter on the energy consumption of the vehicle can be regarded as linear, and the air-conditioning windshield preference degree influencing parameter can be obtained by linearly normalizing the air-conditioning windshield data.
可选地，上述空调风挡偏好程度影响参数x 24通过公式
Figure PCTCN2021105015-appb-000031
确定，其中，M c表示所述车辆的空调的风挡的总数，c表示所述空调的风挡为第c档位，c＝1,2,…,M c，S c表示单位时间内所述空调的风档为第c档位时空调所需的功耗，T c表示预设行程内所述空 调的风档为第c档时工作的时长，S Cmax表示单位时间内所述空调的风档为第三工作档位时所需的功耗，T max表示所述车辆行驶预设行程所需的行驶总时长，所述第三工作档位为所述空调的风档的全部档位中消耗所述车辆的能耗最大的档位。 Optionally, the above-mentioned air-conditioning windshield preference degree influence parameter x 24 is calculated by the formula
Figure PCTCN2021105015-appb-000031
Determine, where Mc represents the total number of windshields of the air conditioners of the vehicle, c means that the windshields of the air conditioners are in the c-th gear, c=1, 2, ..., Mc, S c means the air conditioners per unit time The wind speed is the power consumption required by the air conditioner in the c-th gear, T c represents the working time of the air conditioner in the c-th gear within the preset stroke, and S Cmax represents the air-conditioning wind speed per unit time. is the power consumption required for the third working gear, Tmax represents the total driving time required for the vehicle to travel the preset trip, and the third working gear is consumed in all gears of the windshield of the air conditioner The gear of the vehicle that consumes the most energy.
第三类能耗影响因子x 3：驾驶行为影响因子，用于指示预设行程内驾驶员的驾驶行为对车辆的能耗的影响程度。驾驶行为影响因子主要包括加减速频繁程度影响参数、加减速剧烈程度影响参数、非经济车速时长影响参数或高速影响参数中的一种或多种。下文针对上述4种环境影响参数分别进行介绍。 The third type of energy consumption influence factor x 3 : a driving behavior influence factor, which is used to indicate the degree of influence of the driver's driving behavior on the energy consumption of the vehicle within the preset itinerary. The driving behavior influencing factors mainly include one or more of the parameters affecting the frequency of acceleration and deceleration, the parameters affecting the severity of acceleration and deceleration, the parameters affecting the duration of non-economic vehicle speed, or the parameters affecting high speed. The following describes the above four environmental impact parameters respectively.
1)加减速频繁程度影响参数，用于指示预设行程内驾驶员加减速的频率对车辆的能耗的影响。在预设行程内加减速频率越高，消耗的车辆的能源量越大。因此，加减速频繁程度影响参数对车辆的能耗的影响较大。1) The influence parameter of the frequency of acceleration and deceleration, which is used to indicate the influence of the frequency of acceleration and deceleration of the driver on the energy consumption of the vehicle within the preset itinerary. The higher the frequency of acceleration and deceleration within the preset travel, the greater the energy consumption of the vehicle. Therefore, the parameters affecting the frequency of acceleration and deceleration have a greater impact on the energy consumption of the vehicle.
申请人发现加减速频繁程度影响参数对车辆的能耗的影响可以视为线性的，则加减速频繁程度影响参数可以通过对加减速频繁程度数据进行线性归一化处理得到。其中，加减速频繁程度数据可包括预设行程内车辆超出第一平缓速度区间的时长，以及车辆行驶预设里程所需的行驶时长。The applicant found that the influence of the acceleration and deceleration frequency influence parameters on the energy consumption of the vehicle can be regarded as linear, and the acceleration and deceleration frequency influence parameters can be obtained by linearly normalizing the acceleration and deceleration frequency data. The data on the frequency of acceleration and deceleration may include the length of time during which the vehicle exceeds the first gentle speed interval within the preset travel, and the travel time required for the vehicle to travel the preset mileage.
可选地，上述加减速频繁程度影响参数x 31可以基于预设行程内车辆超出第一加减速平缓区间的加减速时长，与车辆行驶预设里程所需的行驶时长的比值确定。 Optionally, the above-mentioned acceleration and deceleration frequency influence parameter x 31 may be determined based on the ratio of the acceleration and deceleration duration of the vehicle beyond the first acceleration and deceleration gentle interval within the preset trip to the running duration required for the vehicle to travel the preset mileage.
需要说明的是，上述第一加减速平缓区间，可以是由厂商预设的，本申请实施例对此不作具体限定。It should be noted that the above-mentioned first acceleration/deceleration gentle interval may be preset by the manufacturer, which is not specifically limited in the embodiment of the present application.
2)加减速剧烈程度影响参数，用于指示预设行程内驾驶员加减速的变化量对车辆的能耗的影响。在预设行程内加减速的变化量越高，消耗的车辆的能源量越大。因此，加减速剧烈程度影响参数对车辆的能耗的影响较大。2) The parameter that affects the severity of acceleration and deceleration, which is used to indicate the influence of the variation of the driver's acceleration and deceleration on the energy consumption of the vehicle within the preset trip. The higher the change in acceleration and deceleration within the preset travel, the greater the energy consumption of the vehicle. Therefore, the parameters affecting the severity of acceleration and deceleration have a greater impact on the energy consumption of the vehicle.
申请人发现加减速剧烈程度影响参数对车辆的能耗的影响可以视为线性的，则加减速剧烈程度影响参数可以通过对加减速剧烈程度数据进行线性归一化处理得到。其中，加减速剧烈程度数据可包括在预设行程内车辆的速度变化量位于第二加减速平缓区间之外的时长，以及预设行程内车辆的速度变化量的分布概率。The applicant found that the influence of the acceleration and deceleration severity influence parameters on the energy consumption of the vehicle can be regarded as linear, and the acceleration and deceleration severity influence parameters can be obtained by linearly normalizing the acceleration and deceleration severity data. The acceleration/deceleration severity data may include the time period during which the vehicle's speed change is outside the second acceleration/deceleration gentle interval within the preset travel, and the distribution probability of the vehicle's speed change within the preset travel.
可选地，上述加减速剧烈程度影响参数x 32可以基于预设行程内车辆超出平缓速度区间的加减速绝对值和，与整体的比例确定。 Optionally, the above-mentioned acceleration and deceleration severity influence parameter x 32 may be determined based on the ratio of the sum of the absolute values of acceleration and deceleration of the vehicle beyond the gentle speed interval within the preset travel to the whole.
例如，上述第二加减速平缓区间可以通过[A 1，A 2]表示，上述加减速剧烈程度影响参数x 32可以通过公式
Figure PCTCN2021105015-appb-000032
且
Figure PCTCN2021105015-appb-000033
确定，其中，n表示所述预设行程内的采样点的总数，i表示所述预设行程内的第i个采样点，i＝1,2,…,n，a i表示所述预设行程内在第i个采样点采集的所述车辆的加速度，b i表示所述预设行程内在第i个采样点采集的所述车辆的加速度，且b i位于第二加减速平缓区间[A 1，A 2]之外。 For example, the above-mentioned second acceleration and deceleration gentle interval can be represented by [A 1 , A 2 ], and the above-mentioned acceleration and deceleration severity influence parameter x 32 can be expressed by the formula
Figure PCTCN2021105015-appb-000032
and
Figure PCTCN2021105015-appb-000033
Determine, where n represents the total number of sampling points in the preset stroke, i represents the ith sampling point in the preset stroke, i=1, 2,...,n, a i represents the preset stroke is the acceleration of the vehicle collected at the ith sampling point within the trip, b i represents the acceleration of the vehicle collected at the ith sampling point within the preset trip, and b i is located in the second smooth acceleration and deceleration interval [A 1 , A 2 ] outside.
需要说明的是，上述第一加减速平缓区间与第二加减速平缓区间可以是相同的区间，也可以是不同的区间，本申请实施例对此不作限定。It should be noted that, the first acceleration/deceleration gentle interval and the second acceleration/deceleration gentle interval may be the same interval, or may be different intervals, which are not limited in this embodiment of the present application.
还应理解，上述第二加减速平缓区间可以由厂家配置，或是基于历史速度与能耗之间的关系配置，本申请实施例对此不作具体限定。It should also be understood that the above-mentioned second acceleration/deceleration gentle interval may be configured by a manufacturer, or configured based on the relationship between historical speed and energy consumption, which is not specifically limited in this embodiment of the present application.
3)非经济车速时长影响参数，用于指示预设行程内车辆按照第一非经济速度区间内的车速行驶时长对车辆能耗的影响程度。通常，在预设行程内车辆按照非经济速度区间内的车速行驶时长越长，消耗的车辆的能源量越大。因此，非经济车速时长影响参数对车辆的能耗的影响较大。3) The non-economic vehicle speed duration influence parameter, which is used to indicate the degree of influence on vehicle energy consumption of the vehicle running at the vehicle speed within the first non-economic speed interval within the preset trip. Generally, the longer the vehicle runs at the vehicle speed in the non-economic speed range within the preset trip, the greater the energy consumption of the vehicle. Therefore, the influence parameters of non-economic vehicle speed duration have a great influence on the energy consumption of the vehicle.
申请人发现非经济车速时长影响参数对车辆的能耗的影响可以视为线性的，则非经济车速时长影响参数可以通过对非经济车速时长数据进行线性归一化处理得到。其中，非经济车速时长数据可包括在预设行程内车辆按照第一非经济速度区间内的车速行驶时长。The applicant found that the influence of the non-economic vehicle speed duration influence parameters on the energy consumption of the vehicle can be regarded as linear, and the non-economic vehicle speed duration influence parameters can be obtained by linearly normalizing the non-economic vehicle speed duration data. The non-economic vehicle speed duration data may include the duration of the vehicle running at the vehicle speed within the first non-economic speed interval within the preset itinerary.
可选地，上述非经济车速时长影响参数x 33可以基于车辆行驶预设行程所需的时长内车辆超出经济速度区间的行驶时长占比确定。 Optionally, the above-mentioned non-economic vehicle speed duration influence parameter x 33 may be determined based on the proportion of the vehicle's running duration beyond the economical speed interval within the duration required for the vehicle to travel the preset itinerary.
需要说明的是，上述第一经济速度区间内的车速消耗的车辆的能量，相对于第一非经济速度区间内的车速消耗的车辆的能量较少，本申请实施例对此不作限定。It should be noted that the energy consumed by the vehicle at the vehicle speed in the first economic speed interval is less than the energy consumed by the vehicle at the vehicle speed in the first non-economic speed interval, which is not limited in this embodiment of the present application.
还应理解，上述第一经济速度区间可以由厂家配置，或是基于历史速度与能耗之间的关系配置，本申请实施例对此不作具体限定。It should also be understood that the above-mentioned first economic speed interval may be configured by a manufacturer, or configured based on the relationship between historical speed and energy consumption, which is not specifically limited in this embodiment of the present application.
4)非经济车速行驶里程影响参数，用于指示预设行程内车辆按照第二非经济速度区间内的车速行驶里程数对车辆能耗的影响程度。通常，在预设行程内车辆按照非经济速度区间内的车速行驶里程数越多，消耗的车辆的能源量越大。因此，非经济车速行驶里程影响参数对车辆的能耗的影响较大。4) The influence parameter of non-economic vehicle speed mileage, which is used to indicate the degree of influence of the vehicle mileage on vehicle energy consumption within the preset trip according to the vehicle speed within the second non-economic speed interval. Generally, the more mileage the vehicle travels at the speed within the non-economic speed range within the preset trip, the greater the energy consumption of the vehicle. Therefore, the influence parameters of non-economic speed and mileage have a great influence on the energy consumption of the vehicle.
申请人发现非经济车速行驶里程影响参数对车辆的能耗的影响可以视为线性的，则非经济车速行驶里程影响参数可以通过对非经济车速行驶里程数据进行线性归一化处理得到。其中，非经济车速行驶里程数据可包括在预设行程内车辆按照第二非经济速度区间内的车速行驶里程数。The applicant found that the influence of the non-economic speed mileage influence parameter on the vehicle's energy consumption can be regarded as linear, and the non-economic speed mileage influence parameter can be obtained by linearly normalizing the non-economic speed mileage data. Wherein, the mileage data at non-economic speed may include the mileage that the vehicle travels at the vehicle speed within the second non-economic speed interval within the preset itinerary.
可选地，上述非经济车速行驶里程影响参数x 34可以基于车辆行驶预设里程内车辆超出经济速度区间的行驶里程占比确定。 Optionally, the above-mentioned non-economic vehicle speed driving mileage influence parameter x 34 may be determined based on the proportion of the vehicle's driving mileage exceeding the economical speed interval within the preset mileage of the vehicle traveling.
需要说明的是，上述第二经济速度区间内的车速消耗的车辆的能量，相对于第二非经济速度区间内的车速消耗的车辆的能量较少，本申请实施例对此不作限定。It should be noted that the energy consumed by the vehicle at the vehicle speed in the second economic speed interval is less than the energy consumed by the vehicle at the vehicle speed in the second non-economic speed interval, which is not limited in this embodiment of the present application.
还应理解，上述经济速度区间可以由厂家配置，或是基于历史速度与能耗之间的关系配置，本申请实施例对此不作具体限定。It should also be understood that the above economic speed interval may be configured by a manufacturer, or configured based on the relationship between historical speed and energy consumption, which is not specifically limited in this embodiment of the present application.
第四类能耗影响因子x 4：车辆工况影响因子，用于指示预设行程内车辆的工况对车辆的能耗的影响程度。车辆工况影响因子主要包括车辆载重影响参数或车辆老化程度影响参数。 The fourth type of energy consumption influencing factor x 4 : a vehicle operating condition influencing factor, which is used to indicate the degree of influence of the operating conditions of the vehicle on the energy consumption of the vehicle within the preset trip. The influencing factors of vehicle working conditions mainly include parameters affecting vehicle load or affecting parameters of vehicle aging degree.
1)车辆载重影响参数，用于指示预设行程内车辆载重对车辆的能耗的影响。在预设行程内车辆载重越重，消耗的车辆的能源量越大。因此，车辆载重影响参数对车辆的能耗的影响较大。1) The vehicle load influence parameter is used to indicate the influence of the vehicle load on the energy consumption of the vehicle within the preset trip. The heavier the vehicle load within the preset trip, the greater the energy consumption of the vehicle. Therefore, the influence parameters of the vehicle load have a greater influence on the energy consumption of the vehicle.
申请人发现车辆载重影响参数对车辆的能耗的影响可以视为线性的，则车辆载重影响参数可以通过对车辆载重数据进行线性归一化处理得到。其中，车辆载重数据可包括预设行程内车辆的载重。The applicant found that the influence of the vehicle load influence parameter on the energy consumption of the vehicle can be regarded as linear, and the vehicle load influence parameter can be obtained by linearly normalizing the vehicle load data. The vehicle load data may include the vehicle load within the preset trip.
可选地，上述车辆载重影响参数x 41可以通过公式
Figure PCTCN2021105015-appb-000034
确定，其中，G表示预设行程内车辆的重量，G c表示预设行程内整车出厂额定重量。 Optionally, the above-mentioned vehicle load influence parameter x 41 can be calculated by the formula
Figure PCTCN2021105015-appb-000034
Determine, where G represents the weight of the vehicle within the preset travel, and G c represents the factory rated weight of the entire vehicle within the preset travel.
2)车辆老化程度影响参数，用于指示预设行程内车辆老化程度对车辆的能耗的影响。在预设行程内车辆老化程度越严重，消耗的车辆的能源量越大。具体而言，车辆老化会导致车辆中部件的传递动力的效率下降，部分动力在传递过程中被损耗。因此，车辆载重影响参数对车辆的能耗的影响较大。2) The influence parameter of the vehicle aging degree, which is used to indicate the influence of the vehicle aging degree on the energy consumption of the vehicle within the preset trip. The more serious the aging degree of the vehicle within the preset trip, the greater the energy consumption of the vehicle. Specifically, vehicle aging causes a reduction in the efficiency of the power transmission of the components in the vehicle, and part of the power is lost in the transmission process. Therefore, the influence parameters of the vehicle load have a greater influence on the energy consumption of the vehicle.
申请人发现车辆老化程度影响参数对车辆的能耗的影响可以视为非线性的，则车辆老化程度影响参数可以通过对车辆老化数据进行非线性归一化处理得到。其中，车辆老化数据可包括车辆的行驶过的总里程数(O)，车辆的车龄(m)。The applicant found that the influence of the vehicle aging degree influencing parameter on the vehicle's energy consumption can be regarded as nonlinear, and the vehicle aging degree influencing parameter can be obtained by performing nonlinear normalization processing on the vehicle aging data. The vehicle aging data may include the total mileage (O) of the vehicle and the vehicle age (m).
可选地，上述车辆老化程度影响参数x 42可以通过公式
Figure PCTCN2021105015-appb-000035
确定，其中A＝2、B＝-1、slope＝0.1、h＝0、
Figure PCTCN2021105015-appb-000036
Figure PCTCN2021105015-appb-000037
Optionally, the above-mentioned vehicle aging degree influence parameter x 42 can be calculated by the formula
Figure PCTCN2021105015-appb-000035
OK, where A=2, B=-1, slope=0.1, h=0,
Figure PCTCN2021105015-appb-000036
Figure PCTCN2021105015-appb-000037
需要说明的是，上述公式中仅提供公式中参数取值的一种可能的实现方式，上述参数取值还可以基于实际情况调整，本申请实施例对此不作具体限定。It should be noted that the above formula only provides a possible implementation manner of the parameter value in the formula, and the above parameter value can also be adjusted based on the actual situation, which is not specifically limited in this embodiment of the present application.
第五类能耗影响因子x 5：道路情况影响因子，用于指示预设行程内道路情况对车辆的能耗的影响程度。道路情况影响因子主要包括道路等级影响参数或道路起伏程度影响参数。 The fifth type of energy consumption influence factor x 5 : a road condition influence factor, which is used to indicate the degree of influence of road conditions on the vehicle's energy consumption within the preset itinerary. The road condition influencing factors mainly include road grade influence parameters or road undulation degree influence parameters.
1)道路等级影响参数，用于指示预设行程内道路等级对车辆的能耗的影响。在预设行程内道路等级越高，消耗的车辆的能源量越大。其中，道路等级越高对应的道路的行驶条件越差。因此，道路等级影响参数对车辆的能耗的影响较大。1) The road level influence parameter is used to indicate the influence of the road level within the preset trip on the energy consumption of the vehicle. The higher the road class within the preset trip, the greater the amount of energy consumed by the vehicle. Wherein, the higher the road level corresponds to the worse the driving condition of the road. Therefore, the road level influence parameter has a great influence on the energy consumption of the vehicle.
申请人发现道路等级影响参数对车辆的能耗的影响可以视为线性的，则道路等级影响参数可以通过对道路等级数据进行线性归一化处理得到。其中，道路等级数据可包括预设行程内车辆在每个等级道路上行驶的时长。The applicant found that the influence of the road level influence parameter on the energy consumption of the vehicle can be regarded as linear, and the road level influence parameter can be obtained by performing linear normalization processing on the road level data. Wherein, the road level data may include the duration that the vehicle travels on each level of road within the preset itinerary.
可选地，上述道路等级影响参数x 51可以通过公式
Figure PCTCN2021105015-appb-000038
确定，其中，M R表示道路等级总数，r表示第r等级的道路，r＝1,2,…,M r，P r表示单位时间内所述车辆行驶在所述第r等级的道路所需的功耗，T r表示所述车辆行驶在所述第r等级的道路的时长，P rmax表示单位时间内车辆行驶在第一道路等级的道路上所需的功耗，所述第一道路等级为全部道路等级中车辆行驶所需能耗最大的道路，T max表示所述车辆行驶预设行程所需的行驶总时长。 Optionally, the above-mentioned road grade influence parameter x 51 can be calculated by the formula
Figure PCTCN2021105015-appb-000038
Determine, where MR represents the total number of road levels, r represents the road of the rth level, r=1, 2,...,M r , and Pr represents the required time for the vehicle to travel on the road of the rth level per unit time. The power consumption of , T r represents the duration of the vehicle driving on the road of the rth level, P rmax represents the power consumption required for the vehicle to drive on the road of the first road level per unit time, and the first road level is the road with the largest energy consumption required for the vehicle to travel in all road levels, and Tmax represents the total travel time required for the vehicle to travel the preset trip.
2)道路起伏程度影响参数，用于指示预设行程内车辆行驶的道路的道路起伏程度对车辆的能耗的影响。在预设行程内车辆行驶的道路中需要爬坡的路段越长，消耗的车辆的能源量越大。因此，道路起伏程度影响参数对车辆的能耗的影响较大。2) The road undulation degree influence parameter is used to indicate the influence of the road undulation degree of the road on which the vehicle travels within the preset trip on the energy consumption of the vehicle. The longer the section of the road on which the vehicle travels within the preset travel needs to be climbed, the greater the energy consumption of the vehicle. Therefore, the road undulation degree influencing parameter has a great influence on the energy consumption of the vehicle.
申请人发现道路起伏程度影响参数对车辆的能耗的影响可以视为线性的，则道路起伏程度影响参数可以通过对道路起伏数据进行线性归一化处理得到。其中，道路起伏数据可包括预设行程内坡度区间概率以及坡度区间平均值。The applicant found that the influence of the road undulation degree influencing parameter on the energy consumption of the vehicle can be regarded as linear, and the road undulation degree influencing parameter can be obtained by linearly normalizing the road undulation data. Wherein, the road undulation data may include a gradient interval probability and an average value of the gradient interval within the preset itinerary.
可选地，上述道路起伏程度影响参数x 52可以通过公式
Figure PCTCN2021105015-appb-000039
确定，其中，[slope min，slope max]为预设的道路起伏平稳区间，slope min表示预设行程内坡度区间的下限，slope max表示预设行程内坡度区间的上限，P slopei表示第i段的坡度区间概率，S i表示坡度区间平均值。 Optionally, the above-mentioned road undulation degree influence parameter x 52 can be calculated by the formula
Figure PCTCN2021105015-appb-000039
Determine, where, [slope min , slope max ] is the preset smooth range of road fluctuations, slope min represents the lower limit of the slope range within the preset itinerary, slope max represents the upper limit of the slope range within the preset itinerary, and P slopei represents the i-th segment The slope interval probability of , S i represents the mean value of the slope interval.
需要说明的是，上述道路起伏平稳区间可以由厂家配置，或是基于历史速度与能耗之间的关系配置，本申请实施例对此不作具体限定。It should be noted that, the above-mentioned road fluctuation and stable interval may be configured by the manufacturer, or configured based on the relationship between historical speed and energy consumption, which is not specifically limited in this embodiment of the present application.
上文分别从5个维度介绍了本申请实施例提出的能耗影响参数，下文结合图2介绍本申请实施例的车辆能耗的评分方法。The energy consumption influencing parameters proposed by the embodiments of the present application are respectively described above from five dimensions, and the scoring method of vehicle energy consumption in the embodiments of the present application is described below with reference to FIG. 2 .
图2是本申请实施例的车辆能耗的评分方法的示意性流程图。图2所示的方法可以由图1所示的执行设备210执行。图2所示的方法包括步骤210和步骤220。FIG. 2 is a schematic flowchart of a method for scoring vehicle energy consumption according to an embodiment of the present application. The method shown in FIG. 2 may be executed by the execution device 210 shown in FIG. 1 . The method shown in FIG. 2 includes step 210 and step 220 .
201，获取车辆的能耗影响因子集合。201. Obtain a set of energy consumption influencing factors of the vehicle.
上述能耗影响因子集合可以是上文介绍的五类能耗影响因子中的一类或多类，其中不同类型能耗因子的具体含义请参见上文的介绍，为了简洁，在此不再赘述。The above set of energy consumption influencing factors may be one or more of the five types of energy consumption influencing factors introduced above. For the specific meanings of different types of energy consumption factors, please refer to the above introduction. For brevity, they will not be repeated here. .
可选地，上述步骤210还包括：获取能耗影响数据集合；通过对能耗影响数据集合中的数据进行归一化处理，以得到上述能耗影响参数集合，其中，能耗影响数据集合中不同种类的能耗影响数据用于计算能耗影响参数集合中一种或多种能耗影响参数；基于能耗影响参数集合计算能耗影响因子集合，能耗影响参数集合中不同种类的能耗影响参数用于计算能耗影响参数因子集合中不同的能耗影响因子。Optionally, the above step 210 further includes: acquiring an energy consumption impact data set; by performing normalization processing on the data in the energy consumption impact data set, to obtain the above energy consumption impact parameter set, wherein, in the energy consumption impact data set Different types of energy consumption impact data are used to calculate one or more energy consumption impact parameters in the energy consumption impact parameter set; the energy consumption impact factor set is calculated based on the energy consumption impact parameter set, and the different types of energy consumption in the energy consumption impact parameter set The influence parameters are used to calculate different energy consumption influence factors in the energy consumption influence parameter set.
如上文所述，若能耗影响参数集合中的能耗影响参数为外温非适宜程度影响参数，该能耗影响参数对应的能耗影响数据包括外温非适宜程度影响数据，例如预设里程中车辆外部环境温度。若能耗影响参数集合中的能耗影响参数为天气影响参数，该能耗影响参数对应的能耗影响数据为天气影响数据，例如预设里程中雨刮器所在的档位、雨刮器在每个档位工作的时长。若能耗影响参数集合中的能耗影响参数为昼夜影响参数，该能耗影响参数对应的能耗影响数据为昼夜影响数据，例如预设里程中前照灯所在的档位、前照灯在每个档位工作的时长等。若能耗影响参数集合中的能耗影响参数为风速影响参数，该能耗影响参数对应的能耗影响数据为风速影响数据，例如风速在车辆的航向上的投影等。若能耗影响参数集合中的能耗影响参数为开窗影响参数，该能耗影响参数对应的能耗影响数据为开窗影响数据，例如车辆的车窗的风阻评分等。剩余能耗影响参数与能耗影响数据之间的对应关系，请参见上文的介绍，为了简洁，在此不再赘述。As mentioned above, if the energy consumption influence parameter in the energy consumption influence parameter set is the influence parameter of the unsuitability of the external temperature, the energy consumption influence data corresponding to the energy consumption influence parameter includes the influence data of the unsuitability of the external temperature, such as the preset mileage The ambient temperature outside the vehicle. If the energy consumption influence parameter in the energy consumption influence parameter set is the weather influence parameter, the energy consumption influence data corresponding to the energy consumption influence parameter is the weather influence data, such as the gear position of the wiper in the preset mileage, the position of the wiper in each gear working hours. If the energy consumption influence parameter in the energy consumption influence parameter set is the day and night influence parameter, the energy consumption influence data corresponding to the energy consumption influence parameter is the day and night influence data, such as the gear position of the headlight in the preset mileage, the position of the headlight in the preset mileage. The working hours of each gear, etc. If the energy consumption influence parameter in the energy consumption influence parameter set is the wind speed influence parameter, the energy consumption influence data corresponding to the energy consumption influence parameter is the wind speed influence data, such as the projection of the wind speed on the heading of the vehicle. If the energy consumption influence parameter in the energy consumption influence parameter set is the window opening influence parameter, the energy consumption influence data corresponding to the energy consumption influence parameter is the window opening influence data, such as the wind resistance score of the window of the vehicle. For the corresponding relationship between the remaining energy consumption impact parameters and the energy consumption impact data, please refer to the above introduction, which is not repeated here for brevity.
可选地，上述归一化处理包括线性归一化处理和非线性归一化处理。Optionally, the above-mentioned normalization processing includes linear normalization processing and nonlinear normalization processing.
上述线性归一化处理可以理解为将能耗影响数据x i'通过公式
Figure PCTCN2021105015-appb-000040
进行线性归一化处理，得到能耗影响参数y，p i表示能耗影响数据x i'在预设里程中的概率分布，a'表示变量i变化的下限值，b'表示变量i变化的上限值，M、N、m以及z为常数，可以由厂商配置。 The above linear normalization process can be understood as transforming the energy consumption impact data x i ' through the formula
Figure PCTCN2021105015-appb-000040
Perform linear normalization to obtain the energy consumption impact parameter y, where p i represents the probability distribution of the energy consumption impact data xi ' in the preset mileage, a' represents the lower limit of the change of the variable i, and b' represents the change of the variable i The upper limit of , M, N, m and z are constants and can be configured by the manufacturer.
可选地，基于上述线性归一化处理得到的能耗影响参数可以包括外温非适宜程度影响 参数、天气影响参数、昼夜影响参数、开窗影响参数等。需要说明的是，上文中介绍的基于线性归一化的处理公式中，上述常数M、N、m、z已经配置好，为了简洁，公式中省略了为0的常数。Optionally, the energy consumption influence parameters obtained based on the above-mentioned linear normalization process may include the influence parameters of the unsuitability of the external temperature, the weather influence parameters, the day and night influence parameters, the window opening influence parameters, and the like. It should be noted that, in the linear normalization-based processing formula introduced above, the above-mentioned constants M, N, m, and z have already been configured. For the sake of brevity, the constants that are 0 are omitted in the formula.
上述非线性归一化处理可以理解为将能耗影响数据x i”通过公式
Figure PCTCN2021105015-appb-000041
且z＝f(x i”)进行非线性归一化处理，得到能耗影响参数y，z表示预设行程内全部能耗影响数据x i”的统计和，J、Q、h以及slope为常数，J、Q、h、slope以及θ(J、Q、h、slope)可以由厂商配置。 The above nonlinear normalization process can be understood as transforming the energy consumption impact data x i ” through the formula
Figure PCTCN2021105015-appb-000041
And z=f(x i ″), perform nonlinear normalization processing, and obtain the energy consumption influence parameter y, z represents the statistical sum of all energy consumption influence data xi ″ in the preset trip, and J, Q, h and slope are The constants, J, Q, h, slope and θ (J, Q, h, slope) can be configured by the manufacturer.
可选地，基于上述非线性归一化处理得到的能耗影响参数可以包括风速影响参数、车辆老化程度影响参数等。需要说明的是，上文中介绍的基于非线性归一化的处理公式中，上述常数已经配置好，为了简洁，公式中省略了为0的常数。Optionally, the energy consumption influence parameters obtained based on the above-mentioned nonlinear normalization process may include wind speed influence parameters, vehicle aging degree influence parameters, and the like. It should be noted that, in the processing formula based on nonlinear normalization introduced above, the above constants have already been configured, and for the sake of brevity, the constants that are 0 are omitted in the formula.
202，将能耗影响因子集合输入能耗评分模型，以确定能耗影响因子集合中一类或多类能耗影响因子数对应的评分，一类或多类能耗影响因子对应的评分用于指示预设行程内对应的能耗影响因子对车辆能耗的影响程度。202. Input the energy consumption impact factor set into the energy consumption scoring model to determine the scores corresponding to one or more types of energy consumption impact factors in the energy consumption impact factor set, and the scores corresponding to one or more types of energy consumption impact factors are used for Indicates the degree of influence of the corresponding energy consumption influence factor on the vehicle energy consumption within the preset trip.
可选地，上述能耗评分模型为
Figure PCTCN2021105015-appb-000042
其中，x j表示第j个能耗影响因子，w ji表示第j个能耗影响因子的第i个能耗影响参数的权重，nj表示能耗影响因子对应的能耗影响参数的总数，b j表示第j个能耗影响因子的截距；f j()表示单调递增函数。 Optionally, the above energy consumption scoring model is
Figure PCTCN2021105015-appb-000042
Among them, x j represents the jth energy consumption influencing factor, w ji represents the weight of the ith energy consumption influencing parameter of the jth energy consumption influencing factor, nj represents the total number of energy consumption influencing parameters corresponding to the energy consumption influencing factor, b j represents the intercept of the jth energy consumption influencing factor; f j ( ) represents a monotonically increasing function.
需要说明的是，上述权重w ji、截距b j可以由云端将训练好的参数下发至车载的执行设备。其中，具体的训练过程请参见下文中的介绍。 It should be noted that the above-mentioned weight w ji and intercept b j may be delivered by the cloud to the vehicle-mounted execution device. For the specific training process, please refer to the introduction below.
203，通过显示界面向车辆的用户显示能耗影响因子集合中每个能耗影响因子对应的评分。203 , displaying a score corresponding to each energy consumption influencing factor in the energy consumption influencing factor set to a user of the vehicle through a display interface.
上述显示界面可以是车辆上自带的显示屏幕，或者还可以是与车辆绑定的终端设备的显示屏幕，本申请实施例对此不作限定。The above-mentioned display interface may be a built-in display screen on the vehicle, or may also be a display screen of a terminal device bound to the vehicle, which is not limited in this embodiment of the present application.
由于上述能耗影响因子的数量较大，需要像用户显示的评分较为复杂，为了简化评分的显示，本申请提出将上述5种能耗影响因子划分为客观能耗影响因子评分和主观能耗影响因子评分。Due to the large number of the above-mentioned energy consumption influencing factors, the score that needs to be displayed by the user is more complicated. In order to simplify the display of the score, this application proposes to divide the above five energy consumption influencing factors into objective energy consumption influencing factor score and subjective energy consumption impact factor score.
上述客观能耗影响因子可以包括第一类能耗影响因子x 1(环境影响因子)、第四类能耗影响因子x 4(车辆工况影响因子)以及第五类能耗影响因子x 5(道路情况影响因子)。 The above-mentioned objective energy consumption influence factors may include the first type of energy consumption influence factor x 1 (environmental influence factor), the fourth type of energy consumption influence factor x 4 (vehicle operating condition influence factor), and the fifth type of energy consumption influence factor x 5 ( road condition influence factor).
可选地，上述客观能耗影响因子grade obj可以通过客观能耗影响评分公式grade obj＝(w 1×x 1)+(w 4×x 4)+(w 5×x 5)计算，w 1表示第一类能耗影响因子x 1的权重，w 4表示第四类能耗影响因子x 4的权重，w 5表示第一类能耗影响因子x 5的权重。 Optionally, the above objective energy consumption impact factor grade obj can be calculated by the objective energy consumption impact scoring formula grade obj =(w 1 ×x 1 )+(w 4 ×x 4 )+(w 5 ×x 5 ), w 1 represents the weight of the first type of energy consumption impact factor x 1 , w 4 represents the weight of the fourth type of energy consumption impact factor x 4 , and w 5 represents the weight of the first type of energy consumption impact factor x 5 .
上述主观能耗影响因子可以包括第二类能耗影响因子x 2(舒适习惯影响因子)、第三类能耗影响因子x 3(驾驶行为影响因子)。 The above-mentioned subjective energy consumption influence factors may include a second type of energy consumption influence factor x 2 (comfort habit influence factor), and a third type of energy consumption influence factor x 3 (driving behavior influence factor).
可选地，上述主观能耗影响因子grade sub可以通过主观能耗影响评分公式grade sub＝(w 2×x 2)+(w 3×x 3)可以通过公式计算，w 2表示第二类能耗影响因子x 2的权重，w 3表示第三类能耗影响因子x 3的权重。 Optionally, the above-mentioned subjective energy consumption impact factor grade sub can be calculated by the subjective energy consumption impact scoring formula grade sub =(w 2 ×x 2 )+(w 3 ×x 3 ), where w 2 represents the second type of energy consumption. The weight of the energy consumption influence factor x 2 , and w 3 represents the weight of the third type of energy consumption influence factor x 3 .
需要说明的是，上述两个评分的公式中的权重也可以由云端将训练好的参数下发至车 载的执行设备。其中，具体的训练过程请参见下文中的介绍。It should be noted that the weights in the above two scoring formulas can also be delivered by the cloud to the on-board execution equipment. For the specific training process, please refer to the introduction below.
另外，能耗影响因子对应的评分越高，说明该类能耗影响因子所消耗的能源量越大。能耗影响因子对应的评分越低，说明该类能耗影响因子所消耗的能源量越小。In addition, the higher the score corresponding to the energy consumption influence factor, the greater the energy consumption of this type of energy consumption influence factor. The lower the score corresponding to the energy consumption impact factor, the smaller the energy consumption of this type of energy consumption impact factor.
下文结合图3以计算上述5种能耗影响因子的评分为例，介绍本申请实施例的评分计算方法的流程。图3所示的方法包括步骤310至步骤330。The flow of the score calculation method according to the embodiment of the present application is described below with reference to FIG. The method shown in FIG. 3 includes steps 310 to 330 .
如上文所述，第一类能耗影响因子x 1包括外温非适宜程度影响参数x 11、天气影响参数x 12、昼夜影响参数x 13以及风速影响参数x 14等4种能耗影响参数。第二类能耗影响因子x 2包括开窗影响参数x 21、空调依赖影响参数x 22、空调温度偏好程度影响参数x 23以及空调风挡偏好程度影响参数x 24等4种能耗影响参数。第三类能耗影响因子x 3包括加减速频繁程度影响参数x 31、加减速剧烈程度影响参数x 32、非经济车速时长影响参数x 33以及高速影响参数x 34等4种能耗影响参数。第四类能耗影响因子x 4包括车辆载重影响参数x 41以及车辆老化程度影响参数x 42等2种能耗影响参数。第五类能耗影响因子x 5包括道路等级影响参数x 51以及道路起伏程度影响参数x 52。 As mentioned above, the first type of energy consumption influence factor x 1 includes four energy consumption influence parameters, including the unsuitability influence parameter of external temperature x 11 , the weather influence parameter x 12 , the day and night influence parameter x 13 and the wind speed influence parameter x 14 . The second type of energy consumption influence factor x 2 includes four energy consumption influence parameters, including window opening influence parameter x 21 , air conditioning dependent influence parameter x 22 , air conditioning temperature preference influence parameter x 23 and air conditioning windshield preference influence parameter x 24 . The third type of energy consumption influence factor x 3 includes 4 kinds of energy consumption influence parameters, including the influence parameter of acceleration and deceleration frequency x 31 , the influence parameter of acceleration and deceleration intensity x 32 , the influence parameter of non-economic vehicle speed duration x 33 and the high-speed influence parameter x 34 . The fourth type of energy consumption influence factor x 4 includes two kinds of energy consumption influence parameters, such as the vehicle load influence parameter x 41 and the vehicle aging degree influence parameter x 42 . The fifth type of energy consumption influence factor x 5 includes a road grade influence parameter x 51 and a road undulation degree influence parameter x 52 .
310，基于能耗影响参数计算对应的能耗影响因子。其中能耗影响参数与能耗影响因子的对应关系可以参见上文介绍。310. Calculate a corresponding energy consumption influence factor based on the energy consumption influence parameter. The corresponding relationship between the energy consumption influencing parameters and the energy consumption influencing factors can be found in the introduction above.
320，将计算出的能耗影响因子输入上述主观能耗影响评分公式，计算主观能耗影响评分，或者将计算出的能耗影响因子输入上述客观能耗影响评分公式，计算客观能耗影响评分。320. Input the calculated energy consumption impact factor into the above-mentioned subjective energy consumption impact scoring formula to calculate the subjective energy consumption impact score, or input the calculated energy consumption impact factor into the above-mentioned objective energy consumption impact scoring formula to calculate the objective energy consumption impact score .
330，输出主观能耗影响评分以及客观能耗影响评分。330. Output the subjective energy consumption impact score and the objective energy consumption impact score.
通常，在计算完能耗影响因子的评分后，还可以基于评分结果向用户呈现能耗影响因子排名，以便用户明确对能耗影响较大的能耗影响因子。当然，也可以直接向用户展示能耗影响参数的评分排名，以便用户明确对能耗影响较大的能耗影响参数。由于上述能耗影响参数的数量较多，也可以仅向用户显示评分排名靠前的能耗影响参数。Generally, after the score of the energy consumption influence factor is calculated, a ranking of the energy consumption influence factor may also be presented to the user based on the score result, so that the user can identify the energy consumption influence factor that has a greater influence on the energy consumption. Of course, it is also possible to directly show the user the score ranking of the parameters affecting the energy consumption, so that the user can identify the parameters affecting the energy consumption that have a greater impact on the energy consumption. Due to the large number of the above energy consumption influencing parameters, it is also possible to display only the energy consumption influencing parameters with the highest ratings to the user.
需要说明的是，能耗影响参数对应的评分越高，说明该能耗影响参数所消耗的能源量越大。能耗影响参数对应的评分越低，说明该能耗影响参数所消耗的能源量越小。It should be noted that, the higher the score corresponding to the energy consumption influencing parameter, the greater the energy consumption of the energy consumption influencing parameter. The lower the score corresponding to the energy consumption influence parameter, the smaller the energy consumption of the energy consumption influence parameter.
为了进一步提升用户体验，还可以在用户界面上呈现驾驶经济性建议。例如，当空调依赖影响参数的评分排名比较靠前时，可以在用户界面上显示驾驶经济性建议：本次空调能耗较大，请适当减少空调开启时长。又例如，当空调温度偏好影响参数的评分排名比较靠前时，可以在用户界面上显示驾驶经济性建议：本次空调设置温度较低，请适当提高空调温度。又例如，当加减速剧烈程度影响参数的评分排名比较靠前时，可以在用户界面上显示驾驶经济性建议：本次加减速较为剧烈，请适当减少剧烈驾驶。To further enhance the user experience, driving economy suggestions can also be presented on the user interface. For example, when the air conditioner depends on the influence parameters of the score ranking higher, the driving economy suggestion can be displayed on the user interface: this time the air conditioner consumes a lot of energy, please appropriately reduce the time when the air conditioner is turned on. For another example, when the air conditioner temperature preference influence parameter is ranked relatively high, the driving economy suggestion can be displayed on the user interface: this time the air conditioner is set to a lower temperature, please increase the air conditioner temperature appropriately. For another example, when the score ranking of the parameter affected by the severity of acceleration and deceleration is relatively high, the driving economy suggestion can be displayed on the user interface: this time the acceleration and deceleration are more severe, please reduce the severe driving appropriately.
下文结合图4和图5介绍本申请实施例的用户界面的示意图。需要说明的是，图4和图5所示的用户界面仅仅是为了便于理解。A schematic diagram of a user interface of an embodiment of the present application is described below with reference to FIG. 4 and FIG. 5 . It should be noted that the user interfaces shown in FIG. 4 and FIG. 5 are only for easy understanding.
图4是本申请实施例的用户界面的示意图。经过上文介绍的评分计算方法，各能耗影响因子的评分如图4所示，驾驶行为影响因子的评分为65(参见412)，舒适习惯影响因子的评分为250(参见413)，道路情况影响因子的评分为20(参见415)，环境影响因子的评分为40(参见416)，车辆工况影响因子的评分为25(参见417)。且主观能耗影响评分为56(参见411)，客观能耗影响评分为35(参见414)，百公里能耗为29.6kwh/100km。FIG. 4 is a schematic diagram of a user interface according to an embodiment of the present application. After the scoring calculation method introduced above, the scores of each energy consumption influencing factor are shown in Figure 4. The driving behavior influencing factor is scored as 65 (see 412), the comfort habit influencing factor is scored as 250 (see 413), and road conditions The impact factor is rated at 20 (see 415), the environmental impact factor is rated at 40 (see 416), and the vehicle operating condition impact factor is rated at 25 (see 417). And the subjective energy consumption impact score is 56 (see 411), the objective energy consumption impact score is 35 (see 414), and the energy consumption per 100 kilometers is 29.6kwh/100km.
经过上文介绍的评分计算方法，各能耗影响参数的评分排名如420所示，即外温非适 宜温度影响参数的评分高于空调依赖影响参数的评分，空调依赖影响参数的评分高于空调温度偏好程度影响参数的评分，温度偏好程度影响参数的评分高于加减速剧烈程度影响参数的评分，温度偏好程度影响参数的评分高于风速影响参数的评分。相应地，用户界面400中还基于能耗影响参数评分排名给出了驾驶经济性建议430。After the scoring calculation method introduced above, the score ranking of each energy consumption influencing parameter is shown as 420, that is, the score of the non-suitable temperature influence parameter of outside temperature is higher than the score of the air conditioning dependent influence parameter, and the score of the air conditioning dependent influence parameter is higher than that of the air conditioning. The temperature preference degree affects the score of the parameter, the score of the parameter affected by the temperature preference degree is higher than that of the parameter affected by the severity of acceleration and deceleration, and the score of the parameter affected by the temperature preference degree is higher than that of the parameter affected by the wind speed. Accordingly, driving economy suggestions 430 are also provided in the user interface 400 based on the energy consumption impact parameter score ranking.
需要说明的是，上述用户界面还可以显示其他附加功能，例如，显示一键分享440以将上述用户界面展示的评分结果分享给其他用户。又例如，还可以显示历史查看450，以查看之前的评分结果。It should be noted that the above-mentioned user interface may also display other additional functions, for example, displaying one-click sharing 440 to share the scoring results displayed on the above-mentioned user interface to other users. As another example, a historical view 450 may also be displayed to view previous scoring results.
图5是本申请另一实施例的用户界面的示意图。需要说明的是，图4所示的用户界面中功能和图5所示的功能界面中功能相同的元素使用相同的编号，其功能请参见上文介绍，为了简洁，下文不再具体赘述。FIG. 5 is a schematic diagram of a user interface according to another embodiment of the present application. It should be noted that elements with the same functions in the user interface shown in FIG. 4 and the function interface shown in FIG. 5 use the same numbers. For their functions, please refer to the above description. For brevity, the details will not be described below.
图5在图4的基础上还示出了影响主观能耗的能耗影响参数的评分。其中与主观能耗影响评分相关的能耗影响参数可以在511至518处示出。例如，空调依赖影响参数的评分可以在511处示出，空调温度偏好程度影响参数可以在512处示出，空调风挡偏好程度影响参数可以在513处示出，加减速频繁程度影响参数可以在514处示出，加减速剧烈程度影响参数可以在515处示出，非经济车速时长影响参数可以在516处示出，高速影响参数可以在517处示出，开窗影响参数可以在518处示出。Fig. 5 also shows the scores of the energy consumption influencing parameters that affect subjective energy consumption on the basis of Fig. 4 . The energy consumption impact parameters associated with the subjective energy consumption impact score may be shown at 511 to 518 . For example, the air conditioner-dependent influence parameter score may be shown at 511 , the air conditioner temperature preference influence parameter may be shown at 512 , the air conditioner windshield preference influence parameter may be shown at 513 , and the acceleration/deceleration frequency influence parameter may be shown at 514 It is shown at 515 , the influence parameter of acceleration and deceleration severity can be shown at 515 , the influence parameter of non-economic vehicle speed duration can be shown at 516 , the high speed influence parameter can be shown at 517 , and the influence parameter of window opening can be shown at 518 .
与客观能耗影响评分相关的能耗影响参数可以在521至528处示出。例如，外温非适宜程度影响参数可以在521处示出，天气影响参数可以在522处示出，昼夜影响参数可以在523处示出，风速影响参数可以在524处示出，车辆载重影响参数可以在525处示出，车辆老化程度影响参数可以在526处示出，道路等级影响参数可以在527处示出，道路起伏程度影响参数可以在528处示出。Energy consumption impact parameters related to the objective energy consumption impact score may be shown at 521-528. For example, the external temperature unsuitability influence parameter may be shown at 521, the weather influence parameter may be shown at 522, the day and night influence parameter may be shown at 523, the wind speed influence parameter may be shown at 524, and the vehicle load influence parameter may be shown at 524. The vehicle aging effect parameter may be shown at 526 , the road grade effect parameter may be shown at 527 , and the road bump effect parameter may be shown at 528 , as may be shown at 525 .
上文结合图1至图5介绍了本申请实施例的能耗评分模型的计算过程，以及向用户呈现评分的方法。下文结合图6至图7介绍本申请实施例的能耗评分模型的训练过程。为了便于理解，先结合图6介绍本申请实施例能耗评分模型的训练方法的适用场景。The calculation process of the energy consumption scoring model according to the embodiment of the present application and the method for presenting the score to the user are described above with reference to FIG. 1 to FIG. 5 . The following describes the training process of the energy consumption scoring model according to the embodiment of the present application with reference to FIG. 6 to FIG. 7 . For ease of understanding, an applicable scenario of the training method of the energy consumption scoring model according to the embodiment of the present application is first introduced with reference to FIG. 6 .
图6是本申请实施例适用的***架构的示意图。图6所示的***600包括云端执行设备610，数据存储***620以及车载设备630。FIG. 6 is a schematic diagram of a system architecture to which an embodiment of the present application is applicable. The system 600 shown in FIG. 6 includes a cloud execution device 610 , a data storage system 620 and a vehicle-mounted device 630 .
执行设备610由一个或多个服务器实现，可选的，与其它计算设备配合，例如：数据存储、路由器、负载均衡器等设备；执行设备车载可以布置在一个物理站点上，或者分布在多个物理站点上。执行设备车载可以使用数据存储***620中的数据，或者调用数据存储***620中的程序代码实现通过能耗评分模型计算评分的过程，具体地，如上文所述，例如，步骤201至步骤203。为了简洁，在次不再赘述。The execution device 610 is implemented by one or more servers, and optionally, cooperates with other computing devices, such as data storage, routers, load balancers and other devices; the execution device can be arranged on a physical site or distributed in multiple on the physical site. The execution device on-board can use the data in the data storage system 620, or call the program code in the data storage system 620 to implement the process of calculating the score through the energy consumption scoring model, specifically, as described above, for example, steps 201 to 203. For brevity, details are not repeated here.
用户可以操作各自的车载设备630与执行设备610进行交互。每个车载设备可以表示任何计算设备，例如车载计算设备等。The user can operate the respective in-vehicle device 630 to interact with the execution device 610 . Each in-vehicle device may represent any computing device, such as an in-vehicle computing device, etc.
每个用户的车载设备可以通过任何通信机制/通信标准的通信网络与执行设备610进行交互，通信网络可以是广域网、局域网、点对点连接等方式，或它们的任意组合。Each user's in-vehicle device can interact with the execution device 610 through a communication network of any communication mechanism/communication standard. The communication network can be a wide area network, a local area network, a point-to-point connection, etc., or any combination thereof.
在另一种实现中，执行设备610的一个方面或多个方面可以由每个车载设备实现，例如，车载设备301可以为执行设备210提供本地数据或反馈计算结果。In another implementation, one or more aspects of the execution device 610 may be implemented by each in-vehicle device, for example, the in-vehicle device 301 may provide the execution device 210 with local data or feedback calculation results.
需要注意的，执行设备610的所有功能也可以由车载设备实现。例如，车载设备630实现执行设备610的功能并为自己的用户提供服务，或者为车载设备630的用户提供服务。It should be noted that all the functions of the execution device 610 can also be implemented by in-vehicle devices. For example, the in-vehicle device 630 implements the functions of the execution device 610 and provides services for its own users, or provides services for the users of the in-vehicle device 630 .
下文基于图6所示的***，介绍本申请实施例的能耗评分模型的训练方法。图7是本申请实施例的能耗评分模型的训练方法的示意性流程图。图7所示的方法包括步骤710至步骤720。Based on the system shown in FIG. 6 , the following describes the training method of the energy consumption scoring model according to the embodiment of the present application. FIG. 7 is a schematic flowchart of a training method for an energy consumption scoring model according to an embodiment of the present application. The method shown in FIG. 7 includes steps 710 to 720 .
710，获取训练数据集，该训练数据集包括多个能耗影响因子训练数据。710. Acquire a training data set, where the training data set includes training data of multiple energy consumption impact factors.
其中，能耗影响因子训练数据是用于训练能耗评分模型的训练数据，可以是本车的能耗影响因子，也可以是其他车辆的能耗影响因子，本申请实施例对此不作限定。The energy consumption influencing factor training data is the training data used to train the energy consumption scoring model, which may be the energy consumption influencing factor of the vehicle or the energy consumption influencing factor of other vehicles, which is not limited in the embodiment of the present application.
需要说明的是，上述能耗影响因子训练数据的含义可以参见上文的能耗影响因子，能耗影响因子训练数据的计算方法也与上文中能耗影响因子的计算方法相同，为了简洁，下文不再具体赘述。It should be noted that the meaning of the above energy consumption impact factor training data can be found in the energy consumption impact factor above, and the calculation method of the energy consumption impact factor training data is also the same as the calculation method of the energy consumption impact factor above. For brevity, the following Details are not repeated here.
720，将上述训练数据集输入原始能耗评分模型，以得到上述能耗评分模型。720. Input the above-mentioned training data set into the original energy consumption scoring model to obtain the above-mentioned energy consumption scoring model.
通常，为了提高能耗评分模型的准确性，还可以对已经下发至车载设备的能耗评分模型进行更新。Generally, in order to improve the accuracy of the energy consumption scoring model, the energy consumption scoring model that has been delivered to the vehicle-mounted device may also be updated.
可选地，可以基于模型误差确定是否对能耗评分模型进行更新。例如，当模型误差大于预设值，则可以触发对能耗评分模型进行更新的流程。Optionally, whether to update the energy consumption scoring model may be determined based on the model error. For example, when the model error is greater than a preset value, the process of updating the energy consumption scoring model can be triggered.
可选地，能耗模型误差α可以通过公式
Figure PCTCN2021105015-appb-000043
确定，其中，N表示训练集中的样本总数，C i-honst表示上述车辆的在历史行程(例如，百公里)内能耗的真实值，C i-predict表示上述车辆在历史行程(例如，百公里)内能耗的预测值。 Alternatively, the energy consumption model error α can be calculated by the formula
Figure PCTCN2021105015-appb-000043
determine, where N represents the total number of samples in the training set, C i-honst represents the true value of the energy consumption of the above vehicle in the historical journey (for example, 100 kilometers), and C i-predict represents the above vehicle in the historical journey (for example, 100 kilometers) km) predicted energy consumption.
可选地，可以采用梯度下降算法动态训练上述评分计算公式中的权重、截距等模型参数，建立历史里程内能耗与多维能耗因子正相关的能耗模型。需要说明的是，为了确保正相关关系，特别对主客观能耗模型进行如下约束：权重w及截距b为非负数；f1～f6为单调递增函数；以及5维度指数范围为[0,100]。Optionally, a gradient descent algorithm can be used to dynamically train model parameters such as weights and intercepts in the above scoring calculation formula, so as to establish an energy consumption model in which the energy consumption in the historical mileage is positively correlated with the multi-dimensional energy consumption factor. It should be noted that, in order to ensure the positive correlation, the following constraints are placed on the subjective and objective energy consumption models: the weight w and the intercept b are non-negative numbers; f1-f6 are monotonically increasing functions; and the 5-dimensional index range is [0,100].
上文结合图1至图7介绍了本申请实施例的车辆能耗的评分方法，下文结合图8至图9介绍本申请实施例的装置。应理解，需要说明的是，图8至图9所示的装置可以实现上述方法中各个步骤，为了简洁，在此不再赘述。The scoring method of vehicle energy consumption according to the embodiment of the present application is described above with reference to FIGS. 1 to 7 , and the apparatus of the embodiment of the present application is described below with reference to FIGS. 8 to 9 . It should be understood that it should be noted that the apparatuses shown in FIG. 8 to FIG. 9 can implement each step in the above method, which is not repeated here for brevity.
图8是本申请实施例的车辆能耗的评分装置的示意图。图8所示的装置800包括：获取单元810和处理单元820。FIG. 8 is a schematic diagram of a vehicle energy consumption scoring device according to an embodiment of the present application. The apparatus 800 shown in FIG. 8 includes: an obtaining unit 810 and a processing unit 820 .
获取单元810，用于获取车辆的能耗影响因子集合，能耗影响因子集合包括第一类能耗影响因子和/或第二类能耗影响因子，第一类能耗影响因子包括开窗影响参数，开窗影响参数用于指示预设行程内车辆的车窗处于打开引发的风阻的大小对车辆的能耗的影响程度，第二类能耗影响因子指示预设行程内车辆所在的行驶环境对车辆的能耗的影响程度；The obtaining unit 810 is configured to obtain a set of energy consumption influencing factors of the vehicle, where the energy consumption influencing factor set includes the first type of energy consumption influencing factor and/or the second type of energy consumption influencing factor, and the first type of energy consumption influencing factor includes the influence of window opening Parameter, the window-opening influence parameter is used to indicate the degree of influence of the wind resistance caused by the opening of the vehicle's window within the preset trip on the vehicle's energy consumption, and the second type of energy-consumption influence factor indicates the driving environment where the vehicle is located within the preset trip. The degree of influence on the energy consumption of the vehicle;
处理单元820，用于将获取单元获取的能耗影响因子集合输入能耗评分模型，以确定能耗影响因子集合中一类或多类能耗影响因子数对应的评分，一类或多类能耗影响因子对应的评分用于指示预设行程内一类或多类能耗影响因子对车辆能耗的影响程度。The processing unit 820 is configured to input the energy consumption influencing factor set obtained by the obtaining unit into the energy consumption scoring model, so as to determine the score corresponding to the number of one or more types of energy consumption influencing factors in the energy consumption influencing factor set. The score corresponding to the consumption influence factor is used to indicate the degree of influence of one or more types of energy consumption influence factors on the vehicle energy consumption within the preset trip.
可选地，作为一个实施例，第二类能耗影响因子包括外温非适宜程度影响参数、天气影响参数、昼夜影响参数或风速影响参数中的一种或多种因子，其中，外温非适宜程度影响参数用于指示预设行程内位于预设适宜温度区间之外的环境温度对车辆的工作状态的影响程度，天气影响参数用于指示预设行程内天气对车辆的工作状态的影响程度，昼夜影 响参数用于指示预设行程内昼夜环境对车辆的工作状态的影响程度，风速影响参数用于指示预设行程内风速对车辆的工作状态的影响程度。Optionally, as an embodiment, the second type of energy consumption influence factor includes one or more factors among the unsuitability influence parameter of outside temperature, weather influence parameter, day and night influence parameter or wind speed influence parameter, wherein The suitability influence parameter is used to indicate the influence degree of the ambient temperature outside the preset suitable temperature range in the preset trip on the working state of the vehicle, and the weather influence parameter is used to indicate the influence degree of the weather in the preset trip on the working state of the vehicle , the day and night influence parameter is used to indicate the influence degree of the day and night environment on the working state of the vehicle within the preset trip, and the wind speed influence parameter is used to indicate the influence degree of the wind speed within the preset travel on the working state of the vehicle.
可选地，作为一个实施例，外温非适宜程度影响参数通过对外温非适宜程度数据进行线性归一化处理得到的，外温非适宜程度数据包括车辆的外部环境温度。Optionally, as an embodiment, the external temperature unsuitability degree influencing parameter is obtained by performing linear normalization processing on the external temperature unsuitability degree data, and the external temperature unsuitability degree data includes the external ambient temperature of the vehicle.
可选地，作为一个实施例，外温非适宜程度影响参数x 11通过公式
Figure PCTCN2021105015-appb-000044
确定，且
Figure PCTCN2021105015-appb-000045
其中，T 1表示预设的部件的适宜工作温度区间的下限，T 2表示预设的部件的适宜工作温度区间的上限，n表示预设行程内的采样点的总数，i表示预设行程内的第i个采样点，i＝1,2,…,n，Δt max为预设值，t i表示在第i个采样点采集的车辆的外部环境温度。 Optionally, as an example, the unsuitability of the external temperature affects the parameter x 11 through the formula
Figure PCTCN2021105015-appb-000044
sure, and
Figure PCTCN2021105015-appb-000045
Among them, T1 represents the lower limit of the preset suitable working temperature range of the component, T2 represents the upper limit of the preset suitable working temperature range of the component, n represents the total number of sampling points in the preset stroke, and i represents the preset stroke. The ith sampling point of , i=1,2,...,n, Δt max is a preset value, and t i represents the external ambient temperature of the vehicle collected at the ith sampling point.
可选地，作为一个实施例，天气影响参数通过对天气影响数据进行线性归一化处理得到的，天气影响数据包括预设行程内车辆的雨刮器所工作的一个或多个档位、以及预设行程内雨刮器处于每个档位的工作时长。Optionally, as an embodiment, the weather influence parameter is obtained by performing linear normalization processing on the weather influence data, and the weather influence data includes one or more gears in which the wipers of the vehicle work in the preset trip, and the preset range. The working time of the wiper in each gear during the stroke.
可选地，作为一个实施例，天气影响参数x 12通过公式
Figure PCTCN2021105015-appb-000046
确定，其中，M Y表示车辆的雨刮器的工作档位的总数，l表示雨刮器工作的第l工作档位，l＝1,2,…,M Y，P l表示单位时间内雨刮器工作在第l工作档位所需的功耗，T l表示雨刮器工作在第l档位的时长，P max表示单位时间内雨刮器的第一工作档位对应的功耗，第一工作档位为雨刮器的全部工作档位中消耗车辆的能耗最大的工作档位，T max表示车辆行驶预设行程所需的总时长。 Optionally, as an embodiment, the weather influence parameter x 12 is determined by the formula
Figure PCTCN2021105015-appb-000046
Determine, where M Y represents the total number of working gears of the wiper of the vehicle, l represents the first working gear of the wiper, l= 1 , 2, . The power consumption required for the working gear, T l represents the duration of the wiper working in the first gear, P max represents the power consumption corresponding to the first working gear of the wiper per unit time, and the first working gear is all the work of the wiper Among the gears, the working gear that consumes the most energy of the vehicle, T max represents the total time required for the vehicle to travel the preset trip.
可选地，作为一个实施例，昼夜影响参数通过对昼夜影响数据进行线性归一化处理得到的，昼夜影响数据包括预设行程内车辆的车灯所工作的一个或多个档位、以及预设行程内车灯处于每个档位的工作时长。Optionally, as an embodiment, the circadian influence parameter is obtained by performing linear normalization processing on the circadian influence data, and the day and night influence data includes one or more gears in which the lights of the vehicle work in the preset trip, and the preset range. Set the working hours of the in-travel lights in each gear.
可选地，作为一个实施例，昼夜影响参数x 13通过公式
Figure PCTCN2021105015-appb-000047
确定，其中，M D表示车辆的车灯的工作档位的总数，l'表示车灯工作的第l'工作档位，l'＝1,2,…,M D，D l'表示单位时间内车灯工作在第l'工作档位所需的功耗，T l'表示车灯工作在第l'工作档位的时长，D max表示单位时间内车灯工作在第二工作档位所需的功耗，第二工作档位为车灯的全部工作档位中消耗车辆的能耗最大的工作档位，T max表示车辆行驶预设行程所需的总时长。 Optionally, as an embodiment, the circadian influence parameter x 13 is calculated by the formula
Figure PCTCN2021105015-appb-000047
Determine, wherein, MD represents the total number of working gears of the lights of the vehicle, l' represents the l'th working gear of the lights working, l'=1,2,..., MD , D l' represents the unit time The power consumption required for the interior lights to work in the l'th working gear, T l' represents the length of time that the lights work in the l' working gear, and D max represents the time at which the lights work in the second working gear per unit time. required power consumption, the second working gear is the working gear that consumes the largest energy consumption of the vehicle among all the working gears of the lamp, and Tmax represents the total time required for the vehicle to travel the preset trip.
可选地，作为一个实施例，风速影响参数通过对风速影响数据进行非线性归一化处理得到的，风速影响数据包括预设行程内风速在车辆的航向上投影得到的速度分量。Optionally, as an embodiment, the wind speed influence parameter is obtained by performing non-linear normalization processing on wind speed influence data, and the wind speed influence data includes a speed component obtained by projecting the wind speed in the preset trip on the heading of the vehicle.
可选地，作为一个实施例，风速影响参数x 14通过公式
Figure PCTCN2021105015-appb-000048
确定，其中，
Figure PCTCN2021105015-appb-000049
n表示预设行程内的采样点的总数，i表示预设行程内的第i个 采样点，i＝1,2,…,n，矢量
Figure PCTCN2021105015-appb-000050
表示在第i个采样点采集到的风向，矢量
Figure PCTCN2021105015-appb-000051
表示在第i个采样点采集到的车辆的航向，V i表示在第i个采样点采集到的风速，v i表示在第i个采样点采集到的车辆的行驶速度，θ和e为预设的常数。 Optionally, as an example, the wind speed influence parameter x 14 is calculated by the formula
Figure PCTCN2021105015-appb-000048
OK, where,
Figure PCTCN2021105015-appb-000049
n represents the total number of sampling points in the preset stroke, i represents the ith sampling point in the preset stroke, i=1,2,...,n, vector
Figure PCTCN2021105015-appb-000050
Represents the wind direction collected at the ith sampling point, vector
Figure PCTCN2021105015-appb-000051
Indicates the heading of the vehicle collected at the ith sampling point, V i indicates the wind speed collected at the ith sampling point, vi indicates the traveling speed of the vehicle collected at the ith sampling point, θ and e are the pre- set constant.
可选地，作为一个实施例，开窗影响参数通过对开窗影响数据进行线性归一化处理得到的，开窗影响数据包括预设里程内采集的一种或多种车辆的车窗开合状态组合，车辆的车窗开合状态组合包括车辆中每扇车窗的开合状态。Optionally, as an embodiment, the window-opening influence parameter is obtained by performing linear normalization on the window-opening influence data, and the window-opening influence data includes the window opening and closing of one or more vehicles collected within a preset mileage. The state combination, the window opening and closing state combination of the vehicle includes the opening and closing state of each window in the vehicle.
可选地，作为一个实施例，开窗影响参数x 21通过公式
Figure PCTCN2021105015-appb-000052
确定，其中，M W表示车辆的车窗开合状态组合的总数，l”表示车窗的第l”个开合状态组合，l”＝1,2,…,M W，R i表示单位时间内车辆的车窗处于第l”个开合状态组合消耗的车辆的功耗，R max表示单位时间内车辆的车窗处于第一开合状态组合消耗的车辆的功耗，T max表示车辆行驶预设行程所需的总时长，第一开合状态组合为车辆中车窗的全部开合状态组合中所消耗能量最大的开合状态组合。 Optionally, as an embodiment, the windowing influence parameter x 21 is calculated by the formula
Figure PCTCN2021105015-appb-000052
Determine, where MW represents the total number of window opening and closing state combinations of the vehicle, l” represents the l”th opening and closing state combination of the vehicle window, l”=1, 2, . . . , MW , and R i represents the unit time The power consumption of the vehicle consumed by the combination of the windows of the vehicle in the first opening and closing state, Rmax represents the power consumption of the vehicle consumed by the combination of the windows of the vehicle in the first opening and closing state per unit time, and Tmax represents the driving of the vehicle The total time required for the preset trip, and the first opening and closing state combination is the opening and closing state combination that consumes the largest energy among all the opening and closing state combinations of the windows in the vehicle.
在可选的实施例中，所述处理单元820可以为计算设备中的处理器920，所述获取单元810可以为计算设备中的通信接口930，计算设备还可以包括存储器910，具体如图9所示。In an optional embodiment, the processing unit 820 may be a processor 920 in a computing device, the obtaining unit 810 may be a communication interface 930 in the computing device, and the computing device may further include a memory 910, as shown in FIG. 9 . shown.
图9是本申请另一实施例的计算设备的示意性框图。图9所示的计算设备900可以包括：存储器910、处理器920、以及通信接口930。其中，存储器910、处理器920，通信接口930通过内部连接通路相连，该存储器910用于存储指令，该处理器920用于执行该存储器920存储的指令，以控制输入/输出接口930接收/发送第二信道模型的至少部分参数。可选地，存储器910既可以和处理器920通过接口耦合，也可以和处理器920集成在一起。FIG. 9 is a schematic block diagram of a computing device according to another embodiment of the present application. The computing device 900 shown in FIG. 9 may include: a memory 910 , a processor 920 , and a communication interface 930 . The memory 910, the processor 920, and the communication interface 930 are connected through an internal connection path, the memory 910 is used to store instructions, and the processor 920 is used to execute the instructions stored in the memory 920 to control the input/output interface 930 to receive/send At least part of the parameters of the second channel model. Optionally, the memory 910 may be coupled with the processor 920 through an interface, or may be integrated with the processor 920 .
需要说明的是，上述通信接口930使用例如但不限于收发器一类的收发装置，来实现通信设备900与其他设备或通信网络之间的通信。上述通信接口930还可以包括输入/输出接口(input/output interface)。It should be noted that, the above-mentioned communication interface 930 uses a transceiver such as but not limited to a transceiver to implement communication between the communication device 900 and other devices or communication networks. The above-mentioned communication interface 930 may also include an input/output interface.
在实现过程中，上述方法的各步骤可以通过处理器920中的硬件的集成逻辑电路或者软件形式的指令完成。结合本申请实施例所公开的方法可以直接体现为硬件处理器执行完成，或者用处理器中的硬件及软件模块组合执行完成。软件模块可以位于随机存储器，闪存、只读存储器，可编程只读存储器或者电可擦写可编程存储器、寄存器等本领域成熟的存储介质中。该存储介质位于存储器910，处理器920读取存储器910中的信息，结合其硬件完成上述方法的步骤。为避免重复，这里不再详细描述。In the implementation process, each step of the above-mentioned method may be completed by an integrated logic circuit of hardware in the processor 920 or an instruction in the form of software. The methods disclosed in conjunction with the embodiments of the present application may be directly embodied as executed by a hardware processor, or executed by a combination of hardware and software modules in the processor. The software modules may be located in random access memory, flash memory, read-only memory, programmable read-only memory or electrically erasable programmable memory, registers and other storage media mature in the art. The storage medium is located in the memory 910, and the processor 920 reads the information in the memory 910, and completes the steps of the above method in combination with its hardware. To avoid repetition, detailed description is omitted here.
应理解，本申请实施例中，该处理器可以为中央处理单元(central processing unit，CPU)，该处理器还可以是其他通用处理器、数字信号处理器(digital signal processor，DSP)、专用集成电路(application specific integrated circuit，ASIC)、现成可编程门阵列(field programmable gate array，FPGA)或者其他可编程逻辑器件、分立门或者晶体管逻辑器件、分立硬件组件等。通用处理器可以是微处理器或者该处理器也可以是任何常规的处理器等。It should be understood that, in this embodiment of the present application, the processor may be a central processing unit (central processing unit, CPU), and the processor may also be other general-purpose processors, digital signal processors (digital signal processors, DSP), dedicated integrated Circuit (application specific integrated circuit, ASIC), off-the-shelf programmable gate array (field programmable gate array, FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like.
还应理解，本申请实施例中，该存储器可以包括只读存储器和随机存取存储器，并向 处理器提供指令和数据。处理器的一部分还可以包括非易失性随机存取存储器。例如，处理器还可以存储设备类型的信息。It should also be understood that, in this embodiment of the present application, the memory may include a read-only memory and a random access memory, and provide instructions and data to the processor. A portion of the processor may also include non-volatile random access memory. For example, the processor may also store device type information.
应理解，本文中术语“和/或”，仅仅是一种描述关联对象的关联关系，表示可以存在三种关系，例如，A和/或B，可以表示：单独存在A，同时存在A和B，单独存在B这三种情况。另外，本文中字符“/”，一般表示前后关联对象是一种“或”的关系。It should be understood that the term "and/or" in this document is only an association relationship to describe associated objects, indicating that there can be three kinds of relationships, for example, A and/or B, which can mean that A exists alone, and A and B exist at the same time , there are three cases of B alone. In addition, the character "/" in this document generally indicates that the related objects are an "or" relationship.
应理解，在本申请的各种实施例中，上述各过程的序号的大小并不意味着执行顺序的先后，各过程的执行顺序应以其功能和内在逻辑确定，而不应对本申请实施例的实施过程构成任何限定。It should be understood that, in various embodiments of the present application, the size of the sequence numbers of the above-mentioned processes does not mean the sequence of execution, and the execution sequence of each process should be determined by its functions and internal logic, and should not be dealt with in the embodiments of the present application. implementation constitutes any limitation.
本领域普通技术人员可以意识到，结合本文中所公开的实施例描述的各示例的单元及算法步骤，能够以电子硬件、或者计算机软件和电子硬件的结合来实现。这些功能究竟以硬件还是软件方式来执行，取决于技术方案的特定应用和设计约束条件。专业技术人员可以对每个特定的应用来使用不同方法来实现所描述的功能，但是这种实现不应认为超出本申请的范围。Those of ordinary skill in the art can realize that the units and algorithm steps of each example described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Skilled artisans may implement the described functionality using different methods for each particular application, but such implementations should not be considered beyond the scope of this application.
所属领域的技术人员可以清楚地了解到，为描述的方便和简洁，上述描述的***、装置和单元的具体工作过程，可以参考前述方法实施例中的对应过程，在此不再赘述。Those skilled in the art can clearly understand that, for the convenience and brevity of description, the specific working process of the above-described systems, devices and units may refer to the corresponding processes in the foregoing method embodiments, which will not be repeated here.
在本申请所提供的几个实施例中，应该理解到，所揭露的***、装置和方法，可以通过其它的方式实现。例如，以上所描述的装置实施例仅仅是示意性的，例如，所述单元的划分，仅仅为一种逻辑功能划分，实际实现时可以有另外的划分方式，例如多个单元或组件可以结合或者可以集成到另一个***，或一些特征可以忽略，或不执行。另一点，所显示或讨论的相互之间的耦合或直接耦合或通信连接可以是通过一些接口，装置或单元的间接耦合或通信连接，可以是电性，机械或其它的形式。In the several embodiments provided in this application, it should be understood that the disclosed system, apparatus and method may be implemented in other manners. For example, the apparatus embodiments described above are only illustrative. For example, the division of the units is only a logical function division. In actual implementation, there may be other division methods. For example, multiple units or components may be combined or Can be integrated into another system, or some features can be ignored, or not implemented. On the other hand, the shown or discussed mutual coupling or direct coupling or communication connection may be through some interfaces, indirect coupling or communication connection of devices or units, and may be in electrical, mechanical or other forms.
所述作为分离部件说明的单元可以是或者也可以不是物理上分开的，作为单元显示的部件可以是或者也可以不是物理单元，即可以位于一个地方，或者也可以分布到多个网络单元上。可以根据实际的需要选择其中的部分或者全部单元来实现本实施例方案的目的。The units described as separate components may or may not be physically separated, and components displayed as units may or may not be physical units, that is, may be located in one place, or may be distributed to multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution in this embodiment.
另外，在本申请各个实施例中的各功能单元可以集成在一个处理单元中，也可以是各个单元单独物理存在，也可以两个或两个以上单元集成在一个单元中。In addition, each functional unit in each embodiment of the present application may be integrated into one processing unit, or each unit may exist physically alone, or two or more units may be integrated into one unit.
所述功能如果以软件功能单元的形式实现并作为独立的产品销售或使用时，可以存储在一个计算机可读取存储介质中。基于这样的理解，本申请的技术方案本质上或者说对现有技术做出贡献的部分或者该技术方案的部分可以以软件产品的形式体现出来，该计算机软件产品存储在一个存储介质中，包括若干指令用以使得一台计算机设备(可以是个人计算机，服务器，或者网络设备等)执行本申请各个实施例所述方法的全部或部分步骤。而前述的存储介质包括：U盘、移动硬盘、只读存储器(read-only memory，ROM)、随机存取存储器(random access memory，RAM)、磁碟或者光盘等各种可以存储程序代码的介质。The functions, if implemented in the form of software functional units and sold or used as independent products, may be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present application can be embodied in the form of a software product in essence, or the part that contributes to the prior art or the part of the technical solution. The computer software product is stored in a storage medium, including Several instructions are used to cause a computer device (which may be a personal computer, a server, or a network device, etc.) to execute all or part of the steps of the methods described in the various embodiments of the present application. The aforementioned storage medium includes: U disk, mobile hard disk, read-only memory (ROM), random access memory (RAM), magnetic disk or optical disk and other media that can store program codes .
以上所述，仅为本申请的具体实施方式，但本申请的保护范围并不局限于此，任何熟悉本技术领域的技术人员在本申请揭露的技术范围内，可轻易想到变化或替换，都应涵盖在本申请的保护范围之内。因此，本申请的保护范围应以所述权利要求的保护范围为准。The above are only specific embodiments of the present application, but the protection scope of the present application is not limited to this. should be covered within the scope of protection of this application. Therefore, the protection scope of the present application should be subject to the protection scope of the claims.

Claims (26)

  1. 一种车辆能耗的评分方法，其特征在于，包括：A method for scoring vehicle energy consumption, comprising:
    获取车辆的能耗影响因子集合，所述能耗影响因子集合包括第一类能耗影响因子和/或第二类能耗影响因子，所述第一类能耗影响因子包括开窗影响参数，所述开窗影响参数用于指示预设行程内所述车辆的车窗处于打开引发的风阻的大小对所述车辆的能耗的影响程度，所述第二类能耗影响因子指示所述预设行程内车辆所在的行驶环境对所述车辆的能耗的影响程度；acquiring a set of energy consumption influencing factors of the vehicle, the energy consumption influencing factor set including a first type of energy consumption influencing factor and/or a second type of energy consumption influencing factor, the first type of energy consumption influencing factor including a window opening influence parameter, The window-opening influence parameter is used to indicate the degree of influence on the energy consumption of the vehicle caused by the size of the wind resistance caused by the opening of the window of the vehicle within the preset trip, and the second type of energy consumption influence factor indicates the pre-set value. Set the degree of influence of the driving environment of the vehicle on the energy consumption of the vehicle within the trip;
    将所述能耗影响因子集合输入能耗评分模型，以确定所述能耗影响因子集合中一类或多类能耗影响因子对应的评分，所述一类或多类能耗影响因子对应的评分用于指示所述预设行程内所述一类或多类能耗影响因子对所述车辆能耗的影响程度。Input the energy consumption impact factor set into the energy consumption scoring model to determine the score corresponding to one or more types of energy consumption impact factors in the energy consumption impact factor set, and the corresponding one or more types of energy consumption impact factors The score is used to indicate the degree of influence of the one or more types of energy consumption influencing factors on the vehicle energy consumption within the preset trip.
  2. 如权利要求1所述的方法，其特征在于，所述第二类能耗影响因子包括外温非适宜程度影响参数、天气影响参数、昼夜影响参数或风速影响参数中的一种或多种因子，The method according to claim 1, wherein the second type of energy consumption influencing factor comprises one or more factors among parameters influencing the unsuitability of external temperature, weather influencing parameters, day and night influencing parameters or wind speed influencing parameters ,
    其中，所述外温非适宜程度影响参数用于指示所述预设行程内位于预设适宜温度区间之外的环境温度对所述车辆的工作状态的影响程度，Wherein, the influence parameter of the unsuitability of the external temperature is used to indicate the influence degree of the ambient temperature outside the preset suitable temperature range in the preset travel on the working state of the vehicle,
    所述天气影响参数用于指示所述预设行程内天气对所述车辆的工作状态的影响程度，The weather influence parameter is used to indicate the degree of influence of the weather in the preset trip on the working state of the vehicle,
    所述昼夜影响参数用于指示所述预设行程内昼夜环境对所述车辆的工作状态的影响程度，The day and night influence parameter is used to indicate the degree of influence of the day and night environment on the working state of the vehicle within the preset itinerary,
    所述风速影响参数用于指示所述预设行程内风速对所述车辆的工作状态的影响程度。The wind speed influence parameter is used to indicate the degree of influence of the wind speed in the preset trip on the working state of the vehicle.
  3. 如权利要求2所述的方法，其特征在于，所述外温非适宜程度影响参数通过对外温非适宜程度数据进行线性归一化处理得到，所述外温非适宜程度数据包括所述车辆的外部环境温度。The method according to claim 2, wherein the parameter affecting the degree of unsuitability of the outside temperature is obtained by performing linear normalization processing on the unsuitability degree data of the outside temperature, and the unsuitability degree data of the outside temperature includes the unsuitability degree of the vehicle. External ambient temperature.
  4. 如权利要求3所述的方法，其特征在于，所述外温非适宜程度影响参数x 11通过公式
    Figure PCTCN2021105015-appb-100001
    确定，且
    Figure PCTCN2021105015-appb-100002
    其中，T 1表示预设的所述部件的适宜工作温度区间的下限，T 2表示预设的所述部件的适宜工作温度区间的上限，n表示所述预设行程内的采样点的总数，i表示所述预设行程内的第i个采样点，i＝1,2,…,n，Δt max为预设值，t i表示在所述第i个采样点采集的所述车辆的外部环境温度。     The method according to claim 3, wherein the unsuitable degree of external temperature influence parameter x 11 is determined by the formula
    Figure PCTCN2021105015-appb-100001
    sure, and
    Figure PCTCN2021105015-appb-100002
    Wherein, T1 represents the preset lower limit of the suitable working temperature range of the component, T2 represents the preset upper limit of the suitable working temperature range of the component, n represents the total number of sampling points in the preset stroke, i represents the ith sampling point within the preset itinerary, i=1,2,...,n, Δt max is a preset value, and t i represents the exterior of the vehicle collected at the ith sampling point ambient temperature.
  5. 如权利要求2-4中任一项所述的方法，其特征在于，所述天气影响参数通过对天气影响数据进行线性归一化处理得到，所述天气影响数据包括所述预设行程内所述车辆的雨刮器所工作的一个或多个档位、以及所述预设行程内所述雨刮器处于每个档位的工作时长。The method according to any one of claims 2-4, wherein the weather influence parameter is obtained by performing linear normalization processing on weather influence data, and the weather influence data includes all the parameters in the preset itinerary. One or more gears in which the wiper of the vehicle operates, and the working time of the wiper in each gear within the preset travel.
  6. 如权利要求5所述的方法，其特征在于，所述天气影响参数x 12通过公式
    Figure PCTCN2021105015-appb-100003
    确定，其中，M Y表示所述车辆的雨刮器的工作档位的总数，l表示所述雨刮器工作的第l工作档位，l＝1,2,…,M Y，P l表示单位时间内所述雨刮器工作在所述第l工作档位所需的功耗，T l表示所述雨刮器工作在第l档位的时长，P max表示所述单位时间内 所述雨刮器的第一工作档位对应的功耗，所述第一工作档位为所述雨刮器的全部工作档位中消耗所述车辆的能耗最大的工作档位，T max表示所述车辆行驶所述预设行程所需的总时长。     The method of claim 5, wherein the weather influence parameter x 12 is determined by the formula
    Figure PCTCN2021105015-appb-100003
    Determine, wherein, MY represents the total number of working gears of the wiper of the vehicle, l represents the first working gear of the wiper , l=1, 2, . The power consumption required for the wiper to work in the first working gear, T1 represents the duration of the wiper working in the first gear, and Pmax represents the first working gear of the wiper corresponding to the unit time. power consumption, the first working gear is the working gear that consumes the largest energy consumption of the vehicle among all the working gears of the wiper, and Tmax represents the total energy required for the vehicle to travel the preset travel. duration.
  7. 如权利要求2-6中任一项所述的方法，其特征在于，所述昼夜影响参数通过对昼夜影响数据进行线性归一化处理得到，所述昼夜影响数据包括所述预设行程内所述车辆的车灯所工作的一个或多个档位、以及所述预设行程内所述车灯处于每个档位的工作时长。The method according to any one of claims 2-6, wherein the circadian influence parameter is obtained by performing linear normalization processing on circadian influence data, and the circadian influence data includes all the parameters within the preset itinerary. One or more gears in which the lights of the vehicle work, and the working time of the lights in each gear within the preset trip.
  8. 如权利要求7所述的方法，其特征在于，所述昼夜影响参数x 13通过公式
    Figure PCTCN2021105015-appb-100004
    确定，其中，M D表示所述车辆的车灯的工作档位的总数，l'表示所述车灯工作的第l'工作档位，l'＝1,2,…,M D，D l'表示单位时间内所述车灯工作在第l'工作档位所需的功耗，T l'表示所述车灯工作在第l'工作档位的时长，D max表示所述单位时间内所述车灯工作在第二工作档位所需的功耗，所述第二工作档位为所述车灯的全部工作档位中消耗所述车辆的能耗最大的工作档位，T max表示所述车辆行驶所述预设行程所需的总时长。     The method of claim 7, wherein the circadian influence parameter x 13 is determined by the formula
    Figure PCTCN2021105015-appb-100004
    Determine, wherein, MD represents the total number of working gears of the lights of the vehicle, l' represents the l'th working gear of the lights, l '=1,2,..., MD , Dl ' represents the power consumption required for the vehicle lamp to work in the 1'th working gear per unit time, T l' represents the duration of the vehicle lamp working in the l'th working gear, and Dmax represents the unit time The power consumption required for the lamp to work in the second working gear, the second working gear is the working gear that consumes the largest energy consumption of the vehicle among all the working gears of the vehicle lamp, T max Indicates the total time required for the vehicle to travel the preset trip.
  9. 如权利要求2-8中任一项所述的方法，其特征在于，所述风速影响参数通过对风速影响数据进行非线性归一化处理得到，所述风速影响数据包括所述预设行程内风速在所述车辆的航向上投影得到的速度分量。The method according to any one of claims 2-8, wherein the wind speed influence parameter is obtained by performing non-linear normalization processing on wind speed influence data, and the wind speed influence data includes data within the preset itinerary. The velocity component of the wind speed projected on the heading of the vehicle.
  10. 如权利要求9所述的方法，其特征在于，所述风速影响参数x 14通过公式
    Figure PCTCN2021105015-appb-100005
    确定，其中，
    Figure PCTCN2021105015-appb-100006
    n表示所述预设行程内的采样点的总数，i表示所述预设行程内的第i个采样点，i＝1,2,…,n，矢量
    Figure PCTCN2021105015-appb-100007
    表示在第i个采样点采集到的风向，矢量
    Figure PCTCN2021105015-appb-100008
    表示在第i个采样点采集到的所述车辆的航向，V i表示在第i个采样点采集到的风速，v i表示在第i个采样点采集到的所述车辆的行驶速度，θ和e为预设的常数。     The method of claim 9, wherein the wind speed influence parameter x 14 is determined by the formula
    Figure PCTCN2021105015-appb-100005
    OK, where,
    Figure PCTCN2021105015-appb-100006
    n represents the total number of sampling points in the preset stroke, i represents the ith sampling point in the preset stroke, i=1,2,...,n, vector
    Figure PCTCN2021105015-appb-100007
    Represents the wind direction collected at the ith sampling point, vector
    Figure PCTCN2021105015-appb-100008
    represents the heading of the vehicle collected at the ith sampling point, V i represents the wind speed collected at the ith sampling point, vi represents the traveling speed of the vehicle collected at the ith sampling point, θ and e are preset constants.
  11. 如权利要求1-10中任一项所述的方法，其特征在于，所述开窗影响参数通过对开窗影响数据进行线性归一化处理得到，所述开窗影响数据包括所述预设里程内采集的一种或多种所述车辆的车窗开合状态组合，所述车辆的车窗开合状态组合包括所述车辆中每扇车窗的开合状态。The method according to any one of claims 1-10, wherein the windowing influence parameter is obtained by performing linear normalization processing on windowing influence data, and the windowing influence data includes the preset One or more window opening and closing state combinations of the vehicle collected within the mileage, where the vehicle window opening and closing state combinations include the opening and closing states of each window in the vehicle.
  12. 如权利要求11中任一项述的方法，其特征在于，所述开窗影响参数x 21通过公式
    Figure PCTCN2021105015-appb-100009
    确定，其中，M W表示所述车辆的车窗开合状态组合的总数，l”表示所述车窗的第l”个开合状态组合，l”＝1,2,…,M W，R i表示单位时间内所述车辆的车窗处于第l”个开合状态组合消耗的所述车辆的功耗，R max表示所述单位时间内所述车辆的车窗处于第一开合状态组合消耗的所述车辆的功耗，T max表示所述车辆行驶所述预设行程所需的总时长，所述第一开合状态组合为所述车辆中车窗的全部开合状态组合中所消耗能量最大的开合状态组合。     The method according to any one of claims 11, wherein the windowing influence parameter x 21 is determined by the formula
    Figure PCTCN2021105015-appb-100009
    Determine, where MW represents the total number of window opening and closing state combinations of the vehicle, l” represents the l” th opening and closing state combination of the vehicle window, l”=1, 2, . . . , MW , R i represents the power consumption of the vehicle when the window of the vehicle is in the 1"th opening and closing state combination within a unit time, and Rmax represents the first opening and closing state combination of the vehicle window in the unit time. The power consumption of the vehicle consumed, T max represents the total time required for the vehicle to travel the preset trip, and the first combination of opening and closing states is the total number of opening and closing state combinations of the windows in the vehicle. The combination of opening and closing states that consumes the most energy.
  13. 一种车辆能耗的评分装置，其特征在于，包括：A device for scoring vehicle energy consumption, comprising:
    获取单元，用于获取车辆的能耗影响因子集合，所述能耗影响因子集合包括第一类能耗影响因子和/或第二类能耗影响因子，所述第一类能耗影响因子包括开窗影响参数，所述开窗影响参数用于指示预设行程内所述车辆的车窗处于打开引发的风阻的大小对所述车辆的能耗的影响程度，所述第二类能耗影响因子指示所述预设行程内车辆所在的行驶环境对所述车辆的能耗的影响程度；an obtaining unit, configured to obtain a set of energy consumption influencing factors of the vehicle, the energy consumption influencing factor set including the first type of energy consumption influencing factors and/or the second type of energy consumption influencing factors, the first type of energy consumption influencing factors including The window-opening influence parameter is used to indicate the influence degree of the wind resistance caused by the opening of the window of the vehicle within the preset trip on the energy consumption of the vehicle, and the second type of energy consumption influence The factor indicates the degree of influence of the driving environment where the vehicle is located in the preset trip on the energy consumption of the vehicle;
    处理单元，用于将所述获取单元获取的所述能耗影响因子集合输入能耗评分模型，以确定所述能耗影响因子集合中一类或多类能耗影响因子对应的评分，所述一类或多类能耗影响因子对应的评分用于指示所述预设行程内所述一类或多类能耗影响因子对所述车辆能耗的影响程度。a processing unit, configured to input the energy consumption influencing factor set acquired by the acquiring unit into an energy consumption scoring model to determine the scores corresponding to one or more types of energy consumption influencing factors in the energy consumption influencing factor set, the The scores corresponding to one or more types of energy consumption influencing factors are used to indicate the degree of influence of the one or more types of energy consumption influencing factors on the vehicle energy consumption within the preset trip.
  14. 如权利要求13所述的装置，其特征在于，所述第二类能耗影响因子包括外温非适宜程度影响参数、天气影响参数、昼夜影响参数或风速影响参数中的一种或多种因子，The device according to claim 13, wherein the second type of energy consumption influencing factor comprises one or more factors among parameters influencing the unsuitability of external temperature, weather influencing parameters, day and night influencing parameters or wind speed influencing parameters ,
    其中，所述外温非适宜程度影响参数用于指示所述预设行程内位于预设适宜温度区间之外的环境温度对所述车辆的工作状态的影响程度，Wherein, the influence parameter of the unsuitability of the external temperature is used to indicate the influence degree of the ambient temperature outside the preset suitable temperature range in the preset travel on the working state of the vehicle,
    所述天气影响参数用于指示所述预设行程内天气对所述车辆的工作状态的影响程度，The weather influence parameter is used to indicate the degree of influence of the weather in the preset trip on the working state of the vehicle,
    所述昼夜影响参数用于指示所述预设行程内昼夜环境对所述车辆的工作状态的影响程度，The day and night influence parameter is used to indicate the degree of influence of the day and night environment on the working state of the vehicle within the preset itinerary,
    所述风速影响参数用于指示所述预设行程内风速对所述车辆的工作状态的影响程度。The wind speed influence parameter is used to indicate the degree of influence of the wind speed within the preset trip on the working state of the vehicle.
  15. 如权利要求14所述的装置，其特征在于，所述外温非适宜程度影响参数通过对外温非适宜程度数据进行线性归一化处理得到，所述外温非适宜程度数据包括所述车辆的外部环境温度。The device according to claim 14, wherein the external temperature unsuitability influencing parameter is obtained by performing linear normalization processing on the external temperature unsuitability data, and the external temperature unsuitability data includes the vehicle's unsuitability. External ambient temperature.
  16. 如权利要求15所述的装置，其特征在于，所述外温非适宜程度影响参数x 11通过公式
    Figure PCTCN2021105015-appb-100010
    确定，且
    Figure PCTCN2021105015-appb-100011
    其中，T 1表示预设的所述部件的适宜工作温度区间的下限，T 2表示预设的所述部件的适宜工作温度区间的上限，n表示所述预设行程内的采样点的总数，i表示所述预设行程内的第i个采样点，i＝1,2,…,n，Δt max为预设值，t i表示在所述第i个采样点采集的所述车辆的外部环境温度。     The device according to claim 15, wherein the unsuitable degree of outside temperature affects the parameter x 11 by formula
    Figure PCTCN2021105015-appb-100010
    sure, and
    Figure PCTCN2021105015-appb-100011
    Wherein, T1 represents the preset lower limit of the suitable working temperature range of the component, T2 represents the preset upper limit of the suitable working temperature range of the component, n represents the total number of sampling points in the preset stroke, i represents the ith sampling point within the preset itinerary, i=1,2,...,n, Δt max is a preset value, and t i represents the exterior of the vehicle collected at the ith sampling point ambient temperature.
  17. 如权利要求14-16中任一项所述的装置，其特征在于，所述天气影响参数通过对天气影响数据进行线性归一化处理得到，所述天气影响数据包括所述预设行程内所述车辆的雨刮器所工作的一个或多个档位、以及所述预设行程内所述雨刮器处于每个档位的工作时长。The apparatus according to any one of claims 14 to 16, wherein the weather influence parameter is obtained by performing linear normalization processing on weather influence data, and the weather influence data includes all the parameters in the preset itinerary. One or more gears in which the wiper of the vehicle operates, and the working time of the wiper in each gear within the preset travel.
  18. 如权利要求17所述的装置，其特征在于，所述天气影响参数x 12通过公式
    Figure PCTCN2021105015-appb-100012
    确定，其中，M Y表示所述车辆的雨刮器的工作档位的总数，l表示所述雨刮器工作的第l工作档位，l＝1,2,…,M Y，P l表示单位时间内所述雨刮器工作在所述第l工作档位所需的功耗，T l表示所述雨刮器工作在第l档位的时长，P max表示所述单位时间内所述雨刮器的第一工作档位对应的功耗，所述第一工作档位为所述雨刮器的全部工作档位中消耗所述车辆的能耗最大的工作档位，T max表示所述车辆行驶所述预设行程所需的总时 长。     The apparatus of claim 17, wherein the weather-influencing parameter x 12 is determined by the formula
    Figure PCTCN2021105015-appb-100012
    Determine, wherein, MY represents the total number of working gears of the wiper of the vehicle, l represents the first working gear of the wiper , l=1, 2, . The power consumption required for the wiper to work in the first working gear, T1 represents the duration of the wiper working in the first gear, and Pmax represents the first working gear of the wiper corresponding to the unit time. power consumption, the first working gear is the working gear that consumes the largest energy consumption of the vehicle among all the working gears of the wiper, and Tmax represents the total energy required for the vehicle to travel the preset travel. duration.
  19. 如权利要求14-18中任一项所述的装置，其特征在于，所述昼夜影响参数通过对昼夜影响数据进行线性归一化处理得到，所述昼夜影响数据包括所述预设行程内所述车辆的车灯所工作的一个或多个档位、以及所述预设行程内所述车灯处于每个档位的工作时长。The device according to any one of claims 14-18, wherein the circadian influence parameter is obtained by performing linear normalization processing on circadian influence data, and the circadian influence data includes all the parameters within the preset itinerary. One or more gears in which the lights of the vehicle work, and the working time of the lights in each gear within the preset trip.
  20. 如权利要求19所述的装置，其特征在于，所述昼夜影响参数x 13通过公式
    Figure PCTCN2021105015-appb-100013
    确定，其中，M D表示所述车辆的车灯的工作档位的总数，l'表示所述车灯工作的第l'工作档位，l'＝1,2,…,M D，D l'表示单位时间内所述车灯工作在第l'工作档位所需的功耗，T l'表示所述车灯工作在第l'工作档位的时长，D max表示所述单位时间内所述车灯工作在第二工作档位所需的功耗，所述第二工作档位为所述车灯的全部工作档位中消耗所述车辆的能耗最大的工作档位，T max表示所述车辆行驶所述预设行程所需的总时长。     The device of claim 19, wherein the circadian influence parameter x 13 is determined by the formula
    Figure PCTCN2021105015-appb-100013
    Determine, wherein, MD represents the total number of working gears of the lights of the vehicle, l' represents the l'th working gear of the lights, l '=1,2,..., MD , Dl ' represents the power consumption required for the vehicle lamp to work in the 1'th working gear per unit time, T l' represents the duration of the vehicle lamp working in the l'th working gear, and Dmax represents the unit time The power consumption required for the lamp to work in the second working gear, the second working gear is the working gear that consumes the largest energy consumption of the vehicle among all the working gears of the vehicle lamp, T max Indicates the total time required for the vehicle to travel the preset trip.
  21. 如权利要求14-20中任一项所述的装置，其特征在于，所述风速影响参数通过对风速影响数据进行非线性归一化处理得到，所述风速影响数据包括所述预设行程内风速在所述车辆的航向上投影得到的速度分量。The device according to any one of claims 14-20, wherein the wind speed influence parameter is obtained by performing non-linear normalization processing on wind speed influence data, and the wind speed influence data includes data within the preset itinerary. The velocity component of the wind speed projected on the heading of the vehicle.
  22. 如权利要求21所述的装置，其特征在于，所述风速影响参数x 14通过公式
    Figure PCTCN2021105015-appb-100014
    确定，其中，
    Figure PCTCN2021105015-appb-100015
    n表示所述预设行程内的采样点的总数，i表示所述预设行程内的第i个采样点，i＝1,2,…,n，矢量
    Figure PCTCN2021105015-appb-100016
    表示在第i个采样点采集到的风向，矢量
    Figure PCTCN2021105015-appb-100017
    表示在第i个采样点采集到的所述车辆的航向，V i表示在第i个采样点采集到的风速，v i表示在第i个采样点采集到的所述车辆的行驶速度，θ和e为预设的常数。     The device of claim 21, wherein the wind speed influence parameter x 14 is determined by the formula
    Figure PCTCN2021105015-appb-100014
    OK, where,
    Figure PCTCN2021105015-appb-100015
    n represents the total number of sampling points in the preset stroke, i represents the ith sampling point in the preset stroke, i=1,2,...,n, vector
    Figure PCTCN2021105015-appb-100016
    Represents the wind direction collected at the ith sampling point, vector
    Figure PCTCN2021105015-appb-100017
    represents the heading of the vehicle collected at the ith sampling point, V i represents the wind speed collected at the ith sampling point, vi represents the traveling speed of the vehicle collected at the ith sampling point, θ and e are preset constants.
  23. 如权利要求13-22中任一项所述的装置，其特征在于，所述开窗影响参数通过对开窗影响数据进行线性归一化处理得到，所述开窗影响数据包括所述预设里程内采集的一种或多种所述车辆的车窗开合状态组合，所述车辆的车窗开合状态组合包括所述车辆中每扇车窗的开合状态。The device according to any one of claims 13-22, wherein the windowing influence parameter is obtained by performing linear normalization on windowing influence data, and the windowing influence data includes the preset One or more window opening and closing state combinations of the vehicle collected within the mileage, where the vehicle window opening and closing state combinations include the opening and closing states of each window in the vehicle.
  24. 如权利要求23中任一项述的装置，其特征在于，所述开窗影响参数x 21通过公式
    Figure PCTCN2021105015-appb-100018
    确定，其中，M W表示所述车辆的车窗开合状态组合的总数，l”表示所述车窗的第l”个开合状态组合，l”＝1,2,…,M W，R i表示单位时间内所述车辆的车窗处于第l”个开合状态组合消耗的所述车辆的功耗，R max表示所述单位时间内所述车辆的车窗处于第一开合状态组合消耗的所述车辆的功耗，T max表示所述车辆行驶所述预设行程所需的总时长，所述第一开合状态组合为所述车辆中车窗的全部开合状态组合中所消耗能量最大的开合状态组合。     The device according to any one of claims 23, wherein the windowing influence parameter x 21 is determined by the formula
    Figure PCTCN2021105015-appb-100018
    Determine, where MW represents the total number of window opening and closing state combinations of the vehicle, l” represents the l” th opening and closing state combination of the vehicle window, l”=1, 2, . . . , MW , R i represents the power consumption of the vehicle when the window of the vehicle is in the 1"th opening and closing state combination within a unit time, and Rmax represents the first opening and closing state combination of the vehicle window in the unit time. The power consumption of the vehicle consumed, T max represents the total time required for the vehicle to travel the preset trip, and the first combination of opening and closing states is the total number of opening and closing state combinations of the windows in the vehicle. The combination of opening and closing states that consumes the most energy.
  25. 一种计算设备，其特征在于，包括：至少一个处理器和存储器，所述至少一个处理器与所述存储器耦合，用于读取并执行所述存储器中的指令，以执行如权利要求1-12 中任一项所述的方法。A computing device, characterized by comprising: at least one processor and a memory, the at least one processor being coupled to the memory for reading and executing instructions in the memory, to execute the steps of claims 1- The method of any of 12.
  26. 一种计算机可读介质，其特征在于，所述计算机可读介质存储有程序代码，当所述计算机程序代码在计算机上运行时，使得计算机执行如权利要1-12中任一项所述的方法。A computer-readable medium, characterized in that the computer-readable medium stores program codes, which, when the computer program codes are executed on a computer, cause the computer to execute the method according to any one of claims 1-12. method.
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