CN112109715A - Method, device, medium and system for generating vehicle power output strategy - Google Patents
Method, device, medium and system for generating vehicle power output strategy Download PDFInfo
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60W—CONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE OR DIFFERENT FUNCTION; CONTROL SYSTEMS SPECIALLY ADAPTED FOR HYBRID VEHICLES; ROAD VEHICLE DRIVE CONTROL SYSTEMS FOR PURPOSES NOT RELATED TO THE CONTROL OF A PARTICULAR SUB-UNIT
- B60W40/00—Estimation or calculation of non-directly measurable driving parameters for road vehicle drive control systems not related to the control of a particular sub unit, e.g. by using mathematical models
- B60W40/02—Estimation or calculation of non-directly measurable driving parameters for road vehicle drive control systems not related to the control of a particular sub unit, e.g. by using mathematical models related to ambient conditions
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60W—CONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE OR DIFFERENT FUNCTION; CONTROL SYSTEMS SPECIALLY ADAPTED FOR HYBRID VEHICLES; ROAD VEHICLE DRIVE CONTROL SYSTEMS FOR PURPOSES NOT RELATED TO THE CONTROL OF A PARTICULAR SUB-UNIT
- B60W40/00—Estimation or calculation of non-directly measurable driving parameters for road vehicle drive control systems not related to the control of a particular sub unit, e.g. by using mathematical models
- B60W40/08—Estimation or calculation of non-directly measurable driving parameters for road vehicle drive control systems not related to the control of a particular sub unit, e.g. by using mathematical models related to drivers or passengers
- B60W40/09—Driving style or behaviour
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Abstract
The invention discloses a method for generating a vehicle power output strategy, which comprises the following steps: acquiring the current vehicle speed, suspension data acquired by a suspension sensor and driving data acquired by a driving data acquisition device; calculating suspension data and the current vehicle speed according to a preset road condition model based on an AI technology to obtain corresponding road condition data; calculating driving data through a preset vehicle driving habit model to obtain corresponding driving behavior data; and calculating the road condition data and the driving behavior data according to a preset power-saving strategy output model, and outputting a corresponding power output strategy so that the vehicle runs according to the power output strategy. The embodiment of the invention also discloses a method, a device, a medium and a system for generating the vehicle power output strategy, which effectively solve the problem of single power output mode of the electric vehicle in the prior art, thereby meeting the requirement of saving electric quantity.
Description
Technical Field
The invention relates to the technical field of vehicle control, in particular to a method, a device, a medium and a system for generating a vehicle power output strategy.
Background
At present, the energy output mode of a new energy automobile is basically fixed, and electric energy and torque output are directly determined by the accelerator strength of most automobiles without the influence of objective reasons such as wind resistance coefficients and the like. However, in daily driving of vehicles, the electric power consumption of the vehicle varies depending on the road surface conditions of the same vehicle or the driving habits of different users. Therefore, the existing energy output mode for fixing the vehicle cannot meet the requirement of saving electric quantity.
Disclosure of Invention
The embodiment of the invention provides a method, a device, a medium and a system for generating a vehicle power output strategy, which can effectively solve the problem of single power output mode of an electric vehicle in the prior art, thereby meeting the requirement of saving electric quantity.
An embodiment of the invention provides a method for generating a vehicle power output strategy, which comprises the following steps:
acquiring the current vehicle speed, suspension data acquired by a suspension sensor and driving data acquired by a driving data acquisition device;
calculating the suspension data and the current vehicle speed according to a preset road condition model based on an AI technology to obtain corresponding road condition data;
calculating the driving data through a preset vehicle driving habit model to obtain corresponding driving behavior data;
and calculating the road condition data and the driving behavior data according to a preset power-saving strategy output model, and outputting a corresponding power output strategy so that the vehicle runs according to the power output strategy.
As an improvement of the above, the method further comprises:
the method comprises the steps of obtaining outdoor environment information of a vehicle, which is collected by an environment information collecting device, and obtaining current road congestion data according to the outdoor environment information;
correspondingly, calculating the suspension data and the current vehicle speed according to a preset road condition model based on an AI technology to obtain corresponding road surface leveling data;
and searching corresponding road condition data according to the road surface leveling data and the current road surface congestion data.
As an improvement of the above solution, the method obtains the preset road surface condition model based on the AI technique by:
acquiring historical suspension data, historical vehicle speed and historical road surface leveling data;
and carrying out convolutional neural network training on the initial convolutional neural network through the historical suspension data, the historical vehicle speed and the historical road surface leveling data to obtain a trained road surface condition model based on the AI technology.
As an improvement of the above scheme, the calculating the road condition data and the driving data according to a preset power saving strategy output model, and outputting a corresponding power output strategy to enable a vehicle to run according to the power output strategy specifically includes:
searching a corresponding driving behavior score according to the driving behavior data;
searching corresponding road condition scores according to the road condition data;
and calculating the road condition score and the driving behavior score according to a preset power-saving strategy output model, and outputting a corresponding power output strategy so that the vehicle runs according to the power output strategy.
As an improvement of the above scheme, the method includes calculating the road condition score and the driving behavior score according to a preset power saving strategy output model, and outputting a corresponding power output strategy to enable a vehicle to run according to the power output strategy, and specifically includes:
calculating the road condition score and the driving behavior score according to a preset weight to obtain a current vehicle driving state score;
and searching a corresponding power output strategy in a corresponding relation between a preset vehicle running state grade and a power output strategy according to the current vehicle running state grade so as to enable the vehicle to run according to the power output strategy.
As an improvement of the above, the method further comprises:
acquiring current vehicle energy consumption data;
correspondingly, calculating the current vehicle energy consumption data, the road condition data and the driving behavior data according to a preset power-saving strategy output model, and outputting a corresponding power output strategy so that the vehicle runs according to the power output strategy.
As an improvement of the above solution, the method is characterized in that the preset power saving strategy output model is obtained by the following steps:
acquiring historical vehicle energy consumption data, historical road condition data, historical driving data and historical power output strategies;
and carrying out convolutional neural network training on the initial convolutional neural network through the historical vehicle energy consumption data, the historical road condition data, the historical driving data and the historical power output strategy to obtain a trained power-saving strategy output model.
Correspondingly, another embodiment of the invention provides a device for generating a vehicle power output strategy, which comprises:
the first acquisition module is used for acquiring the current vehicle speed, suspension data acquired by a suspension sensor and driving data acquired by a driving data acquisition device;
the first processing module is used for calculating the suspension data and the current vehicle speed according to a preset road condition model based on an AI technology to obtain corresponding road condition data;
the second processing module is used for calculating the driving data through a preset vehicle driving habit model to obtain corresponding driving behavior data;
and the power output strategy generation module is used for calculating the road condition data and the driving data according to a preset power-saving strategy output model and outputting a corresponding power output strategy so that the vehicle runs according to the power output strategy.
Another embodiment of the present invention provides a storage medium, where the computer-readable storage medium includes a stored computer program, where when the computer program runs, a device in which the computer-readable storage medium is located is controlled to execute the method for generating the vehicle power output strategy according to the embodiment of the present invention.
Another embodiment of the present invention correspondingly provides an interactive system for vehicle data, including: the system comprises a road condition analysis system for analyzing road conditions, a vehicle driving behavior analysis system for analyzing vehicle driving behaviors, a vehicle power output strategy generation system for determining a power output strategy according to the road conditions and the vehicle driving behaviors, and a generation system cloud database for sending acquired vehicle operation data of at least one vehicle to the road condition analysis system, the vehicle driving behavior analysis system and the vehicle power output strategy; wherein the vehicle power output strategy generation system implements the vehicle power output strategy generation method described in the above-described embodiment of the invention when executing the computer program;
the cloud database is respectively connected with the road condition analysis system, the vehicle driving behavior analysis system and the vehicle power output strategy generation system; the road condition analysis system and the vehicle driving behavior analysis system are respectively connected with the vehicle power output strategy generation system;
the cloud database is further used for issuing the power output strategy obtained by the vehicle power output strategy generating system to at least one vehicle.
Compared with the prior art, the method, the device, the medium and the system for generating the vehicle power output strategy disclosed by the embodiment of the invention calculate the suspension data and the current vehicle speed through the road condition model based on the AI technology to obtain the corresponding road condition data so as to reflect the road condition of the current vehicle. And calculating the driving data according to a preset vehicle driving habit model, and reflecting the driving condition of the current vehicle user according to the corresponding driving behavior data. And calculating the road condition data and the driving behavior data according to a preset power-saving strategy output model, thereby outputting a corresponding power output strategy. Therefore, the road condition data and the driving behavior data are obtained, so that the current road condition and the driving habit of the driver are known, different power output strategies can be output according to the preset power-saving strategy output model by integrating the road condition and the driving habit of the driver, and the effect of saving electric quantity is achieved.
Drawings
FIG. 1 is a schematic flow chart diagram illustrating a method for generating a vehicle power take-off strategy in accordance with an embodiment of the present invention;
FIG. 2 is a schematic flow chart diagram illustrating another method for generating a vehicle power output strategy according to an embodiment of the present invention;
fig. 3 is a flowchart illustrating the step S40 according to an embodiment of the present invention;
FIG. 4 is a schematic flow chart diagram illustrating another method for generating a vehicle power output strategy in accordance with an embodiment of the present invention;
fig. 5 is a schematic structural diagram of a vehicle power output strategy generation device according to an embodiment of the invention;
FIG. 6 is a schematic diagram of a system for generating a vehicle power output strategy according to an embodiment of the present invention;
fig. 7 is a schematic structural diagram of a vehicle data interaction system according to an embodiment of the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Referring to fig. 1 to 5, the present invention is a schematic flow chart of a method for generating a vehicle power output strategy according to an embodiment of the present invention.
The method for generating the vehicle power output strategy provided by the embodiment can be executed by the control end of the electric automobile. In this embodiment, the control end of the electric vehicle is preferably a generation system 100 of a vehicle power output strategy, see fig. 6 (or even a cloud server, etc.), and may be implemented in a software and/or hardware manner, where the control system may be formed by two or more physical entities, or may be formed by one physical entity.
Further, the vehicle power output strategy generation system 100 is connected (wired or wireless) to an environment information acquisition device outside each vehicle, a suspension sensor of the vehicle, an engine control system of the vehicle, a brake system, a steering system, a driving data acquisition device, a display system, and the like. The generation system acquires suspension data of a vehicle through a suspension sensor, acquires driving data (such as accelerator pedal information, brake pedal information, steering wheel angle information and the like) of a driver through a driving data acquisition device, and can acquire the driving data through an engine control system, a brake system and a steering system, which is not limited herein. The generating system acquires outdoor environment information of the vehicle through the environment information acquisition device. The various information may be directly transmitted to the generation system, or may be transmitted to another information processing apparatus, processed by the information processing apparatus, and then transmitted to the generation system by the information processing apparatus.
Illustratively, the driving data acquisition device is an accelerator pedal position sensor, a brake pedal position sensor, a steering wheel angle sensor, or the like. In the embodiment, the driving data is acquired through the driving data acquisition device, so that the driving behavior of a driver can be better analyzed, more accurate driving behavior data can be obtained, and a more accurate power output strategy can be selected.
As shown in fig. 1, an embodiment of the present invention provides a method for generating a vehicle power output strategy, including:
and S10, acquiring the current vehicle speed, the suspension data acquired by the suspension sensor and the driving data acquired by the driving data acquisition device.
Specifically, when the vehicle is powered on by inserting a key, the generation system 100 of the vehicle power output strategy starts to work, and the generation system can acquire suspension data acquired by a suspension sensor and driving data (such as accelerator pedal information, brake pedal information, steering wheel angle information and the like) acquired by a driving data acquisition device in real time.
And S20, calculating the suspension data and the current vehicle speed according to a preset road condition model based on an AI technology to obtain corresponding road condition data.
It should be noted that the suspension data may include a respective real-time suspension force for each of the plurality of tires. Each suspension sensor is configured to sense and measure an amount of suspension pressure of a suspension spring associated with an axle. Suspension data acquired from the suspension sensor indicates the downward pressure of the load exerted on the suspension spring. The current road surface conditions, such as washboard roads, pothole roads, flat roads and the like, are determined by combining the suspension data with the current vehicle speed, namely the suspension data are different under the condition of the same vehicle speed.
Further, the method obtains the preset road condition model based on the AI technology by: acquiring historical suspension data, historical vehicle speed and historical road surface leveling data; and carrying out convolutional neural network training on the initial convolutional neural network through the historical suspension data, the historical vehicle speed and the historical road surface leveling data to obtain a trained road surface condition model based on the AI technology.
Specifically, the road condition analysis system 101 stores a large amount of experimental data in advance, and the experimental data is historical report data of vehicles, so that the initial neural network is trained only through the historical data in the road condition analysis system 101, and then the road condition model based on the AI technology is obtained. Namely, the suspension data and the vehicle speed are input into a road surface flatness index calculation model, and corresponding road condition data can be obtained based on a road surface condition model of an AI technology. It is to be understood that the historical data may also be trained by a support vector machine or the like to obtain a road condition model based on the AI technology, which is not limited herein.
And S30, calculating the driving data through a preset vehicle driving habit model to obtain corresponding driving behavior data.
Wherein the driving data includes one or more of longitudinal acceleration, lateral acceleration, accelerator pedal information, brake pedal information, steering wheel angle information. In this embodiment, the driving data is acquired by a driving data acquisition device, and may also be measured by an Inertial Measurement Unit (IMU), which is not limited herein. For example, the driving behavior data may be obtained by adding and averaging the driving data, or may be obtained by matching different weights according to the influence of the driving data.
Specifically, the vehicle driving habit model is obtained by training an artificial intelligence big data model according to a large amount of user historical data (the user historical data comprises data of vehicle speed, throttle force, electric quantity output, rapid acceleration, rapid deceleration and the like), such as a neural network, a support vector machine, a decision tree and the like. Then the driving data is input into the vehicle driving habit model to obtain the corresponding driving behavior data. It should be noted that the vehicle driving habit models may be stored in the generation system in advance, and different vehicle driving habit models may be selected according to different driving data.
And S40, calculating the road condition data and the driving behavior data according to a preset power-saving strategy output model, and outputting a corresponding power output strategy so that the vehicle runs according to the power output strategy.
Wherein the power take off strategy comprises: the method comprises the matching of parameters such as the sensitivity of the accelerator, the output electric quantity and the torque.
In summary, the suspension data and the current vehicle speed are calculated by the road surface condition model based on the AI technology to obtain the corresponding road condition data, so as to reflect the road surface condition of the current vehicle. And calculating the driving data according to a preset vehicle driving habit model, and reflecting the driving condition of the current vehicle user according to the corresponding driving behavior data. And calculating the road condition data and the driving behavior data according to a preset power-saving strategy output model, thereby outputting a corresponding power output strategy. Therefore, the road condition data and the driving behavior data are obtained, so that the current road condition and the driving habit of the driver are known, different power output strategies can be output according to the preset power-saving strategy output model by integrating the road condition and the driving habit of the driver, and the effect of saving electric quantity is achieved.
In an optional embodiment, the method further comprises:
referring to fig. 2, S10', the outdoor environment information of the vehicle collected by the environment information collecting device is obtained, and the current road congestion data is obtained according to the outdoor environment information.
Specifically, outdoor environment information is acquired by an environment information acquisition device, so that the environment condition around the vehicle is obtained. And sending the outdoor environment information to the generation system 100 of the vehicle power output strategy to analyze and obtain the corresponding congestion condition, and obtaining the corresponding road congestion index according to the congestion condition.
For example, the environment information collecting device may be a GPS positioning device, and the current vehicle position is located by the positioning device, so as to obtain the environment information around the current vehicle. The environment information acquisition device can also be a camera, acquires an image of the environment around the vehicle according to the camera, and sends the image to the processor for analysis, so that the current congestion situation around the vehicle is obtained.
Correspondingly, S20' calculates the suspension data and the current vehicle speed according to a preset road condition model based on AI technology to obtain corresponding road surface leveling data.
In this embodiment, the suspension data and the vehicle speed are uploaded to the road condition analysis system 101 through the cloud database 103, and then the corresponding road surface leveling data can be calculated, so that the leveling degree of the road surface is known.
S21', corresponding road condition data are searched according to the road surface leveling data and the current road surface congestion data.
Specifically, the generation system prestores the corresponding relation between the road surface leveling data, the road surface congestion data and the road condition data, and the corresponding road condition data can be found through the road surface leveling data and the road surface congestion data, so that the selected power output strategy is more reasonable, and the electric energy is further saved.
Further, after step S21', the method further includes:
and when the road surface leveling data and the current road surface congestion data cannot find corresponding road condition data, sending the road surface leveling data and the current road surface congestion data to a road condition analysis model to obtain corresponding road condition scores.
In this embodiment, a large amount of experimental data is input to the neural network model for training to obtain the road condition analysis model, so that the road condition analysis model can obtain the road condition data through the road surface leveling data and the road surface congestion data. It is understood that the traffic analysis model may be pre-stored in the generating system, or may be stored in the traffic analysis system 101.
In an optional embodiment, the step S40 specifically includes:
referring to fig. 3, S400, a corresponding driving behavior score is searched according to the driving behavior data.
In this embodiment, different driving data correspond to different driving behavior scores, and the relationship between the driving behavior data and the driving behavior scores is stored in the generation system in advance.
S401, searching corresponding road condition scores according to the road condition data.
In this embodiment, the road condition score is the road surface smoothness data + the road surface congestion data. The corresponding relationship between the driving behavior data and the driving behavior score can be stored in the generation system in advance, and the road condition score can be obtained according to the road surface evenness index and the road surface congestion index.
S402, calculating the road condition score and the driving behavior score according to a preset power-saving strategy output model, and outputting a corresponding power output strategy to enable a vehicle to run according to the power output strategy.
Specifically, a score output table is stored in the generation system in advance, and a corresponding power output strategy can be searched according to the road condition score and the driving behavior score.
In an optional embodiment, the step S402 specifically includes:
and calculating the road condition score and the driving behavior score according to a preset weight to obtain the current vehicle driving state score.
Specifically, the preset weight is set according to a large number of experiments, and can be adjusted according to the actual driving condition of the vehicle.
And searching a corresponding power output strategy in a corresponding relation between a preset vehicle running state grade and a power output strategy according to the current vehicle running state grade so as to enable the vehicle to run according to the power output strategy.
In this example, see Table I, Cs＝Sd*fd+Sr*fr(ii) a Wherein, CsScoring the driving state of the vehicle, SrRoad condition rating, SdDriving behavior score, frRoad surface condition ratio coefficient, fdAnd (4) driving behavior proportion coefficient. And after the vehicle running state score is obtained through calculation, searching a corresponding power output strategy according to the corresponding relation between the vehicle running state score and the power output strategy, which is pre-stored in the generation system. It should be noted that the implementation of the present invention is not limited to the table showing one of the four proposed power output strategies, and that there may be more power output strategies. The vehicle running state scoring interval can be adjusted again according to the actual running of the vehicle, and the adjusted vehicle running state scoring interval is stored in the generating system.
Watch 1
In an optional embodiment, the method further comprises:
referring to fig. 4, S100', current vehicle energy consumption data is acquired.
Specifically, the current vehicle energy consumption data, the current vehicle speed, the suspension data collected by the suspension sensor and the driving data collected by the driving data collecting device are obtained. Wherein the vehicle energy consumption data comprises: power consumption, etc.
And S20, calculating the suspension data and the current vehicle speed according to a preset road condition model based on an AI technology to obtain corresponding road condition data.
And S30, calculating the driving data through a preset vehicle driving habit model to obtain corresponding driving behavior data.
S400', calculating the current vehicle energy consumption data, the road condition data and the driving behavior data according to a preset power-saving strategy output model, and outputting a corresponding power output strategy so that the vehicle runs according to the power output strategy.
Further, the method obtains the preset power saving strategy output model by the following steps:
acquiring historical vehicle energy consumption data, historical road condition data, historical driving data and historical power output strategies;
and carrying out convolutional neural network training on the initial convolutional neural network through the historical vehicle energy consumption data, the historical road condition data, the historical driving data and the historical power output strategy to obtain a trained power-saving strategy output model.
It should be noted that, in this embodiment, the power output strategy may be determined not only by combining the energy consumption data of the vehicle, but also by combining the current available electric quantity of the vehicle, so that the selected power output strategy is more reasonable, and further, the electric energy is more saved.
Fig. 5 is a schematic structural diagram of a system for generating a power output strategy of a vehicle according to an embodiment of the present invention.
Correspondingly, another embodiment of the invention provides a device for generating a vehicle power output strategy, which comprises:
the first acquisition module 10 is used for acquiring the current vehicle speed, suspension data acquired by a suspension sensor and driving data acquired by a driving data acquisition device.
The first processing module 20 is configured to calculate the suspension data and the current vehicle speed according to a preset road condition model based on an AI technology, so as to obtain corresponding road condition data.
And the second processing module 30 is configured to calculate the driving data through a preset vehicle driving habit model to obtain corresponding driving behavior data.
And the power output strategy generating module 40 is configured to calculate the road condition data and the driving data according to a preset power saving strategy output model, and output a corresponding power output strategy, so that the vehicle runs according to the power output strategy.
The embodiment of the invention provides a vehicle power output strategy generation device, which is used for calculating suspension data and current vehicle speed through a road condition model based on an AI technology to obtain corresponding road condition data so as to reflect the road condition of a current vehicle. And calculating the driving data according to a preset vehicle driving habit model, and reflecting the driving condition of the current vehicle user according to the corresponding driving behavior data. And calculating the road condition data and the driving behavior data according to a preset power-saving strategy output model, thereby outputting a corresponding power output strategy. Therefore, the road condition data and the driving behavior data are obtained, so that the current road condition and the driving habit of the driver are known, different power output strategies can be output according to the preset power-saving strategy output model by integrating the road condition and the driving habit of the driver, and the effect of saving electric quantity is achieved.
Referring to fig. 6 to 7, schematic diagrams of a system for generating a power output strategy of a vehicle according to an embodiment of the present invention are shown.
Another embodiment of the present invention correspondingly provides an interactive system for vehicle data, including: the system comprises a road condition analysis system 101 for analyzing a road condition, a vehicle driving behavior analysis system 102 for analyzing vehicle driving behaviors, a vehicle power output strategy generation system 100 for determining a power output strategy according to the road condition and the vehicle driving behaviors, and a cloud database 103 for sending acquired vehicle operation data of at least one vehicle to the road condition analysis system 101, the vehicle driving behavior analysis system 102, the vehicle power output strategy generation system 100 and the cloud database; wherein the vehicle power output strategy generation system 100 implements the vehicle power output strategy generation method according to the embodiment of the invention when executing the computer program;
the cloud database 103 is respectively connected with the road condition analysis system 101, the vehicle driving behavior analysis system 102 and the vehicle power output strategy generation system 100; the road condition analysis system 101 and the vehicle driving behavior analysis system 102 are respectively connected with the vehicle power output strategy generation system 100;
the cloud database 103 is further configured to issue the power output strategy obtained by the vehicle power output strategy generation system 100 to at least one vehicle.
Further, the system for generating the power output strategy of the vehicle comprises a suspension sensor, a driving data acquisition device, an environmental information acquisition device, a processor, a memory and a computer program stored in the memory and configured to be executed by the processor, wherein the processor implements the method for generating the power output strategy of the vehicle according to the embodiment of the invention when executing the computer program;
the processor is respectively connected with the driving data acquisition device, the suspension sensor, the environmental information acquisition device and the memory.
Wherein the vehicle operation data comprises: vehicle speed, suspension data, driving data, outdoor environmental information, vehicle energy consumption data, and the like.
In this embodiment, after the vehicle is powered on and started, the vehicle operation data is collected, the vehicle speed and the suspension data are sent to the road condition analysis system 101 through the cloud database 103, and the driving data is sent to the vehicle driving behavior analysis system 102. The road condition analysis system 101 sends the analyzed road condition data to the vehicle power output strategy generation system 100, and the vehicle driving behavior analysis system 102 sends the analyzed driving behavior data to the vehicle power output strategy generation system 100, so that the vehicle power output strategy generation system 100 generates a corresponding power output strategy, and then sends the corresponding power output strategy to a corresponding vehicle through the cloud database 103, so that the vehicle runs according to the power output strategy, and the purpose of saving power is achieved. It should be noted that the cloud database 103 may obtain information of a plurality of vehicles, analyze each vehicle respectively, obtain different power output strategies, and issue the strategies to the corresponding vehicles respectively.
Wherein the processor implements the steps in the above-described respective vehicle power output strategy generation method embodiments when executing the computer program, or implements the functions of the respective modules/units in the above-described respective apparatus embodiments when executing the computer program.
Illustratively, the computer program may be partitioned into one or more modules/units that are stored in the memory and executed by the processor to implement the invention. The one or more modules/units may be a series of computer program instruction segments capable of performing specific functions, which are used to describe the execution of the computer program in the system for generating a power take-off strategy for the vehicle.
The system for generating the power output strategy of the vehicle may include, but is not limited to, a processor, a memory. It will be appreciated by those skilled in the art that the schematic is merely an example of a system for generating a power take-off strategy for a vehicle and does not constitute a limitation on a system for generating a power take-off strategy for a vehicle and may include more or fewer components than shown, or some components in combination, or different components, for example the system for generating a power take-off strategy for a vehicle may also include input output devices, network access devices, buses, etc.
The Processor may be a Central Processing Unit (CPU), other general purpose Processor, a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), an off-the-shelf Programmable Gate Array (FPGA) or other Programmable logic device, discrete Gate or transistor logic, discrete hardware components, etc. The general-purpose processor may be a microprocessor or the processor may be any conventional processor or the like, which is a control center of the generation system of the power output strategy of the vehicle, and various interfaces and lines are used to connect the respective parts of the generation system of the power output strategy of the entire vehicle.
The memory may be used to store the computer programs and/or modules, and the processor may implement the various functions of the vehicle power output strategy generation system by executing or executing the computer programs and/or modules stored in the memory, as well as invoking data stored in the memory. The memory may mainly include a storage program area and a storage data area, wherein the storage program area may store an operating system, an application program required by at least one function (such as a sound playing function, an image playing function, etc.), and the like; the storage data area may store data (such as audio data, a phonebook, etc.) created according to the use of the cellular phone, and the like. In addition, the memory may include high speed random access memory, and may also include non-volatile memory, such as a hard disk, a memory, a plug-in hard disk, a Smart Media Card (SMC), a Secure Digital (SD) Card, a Flash memory Card (Flash Card), at least one magnetic disk storage device, a Flash memory device, or other volatile solid state storage device.
Wherein the system-integrated module/unit for generating the power output strategy of the vehicle may be stored in a computer-readable storage medium if it is implemented in the form of a software functional unit and sold or used as a separate product. Based on such understanding, all or part of the flow of the method according to the embodiments of the present invention may also be implemented by a computer program, which may be stored in a computer-readable storage medium, and when the computer program is executed by a processor, the steps of the method embodiments may be implemented. Wherein the computer program comprises computer program code, which may be in the form of source code, object code, an executable file or some intermediate form, etc. The computer-readable medium may include: any entity or device capable of carrying the computer program code, recording medium, usb disk, removable hard disk, magnetic disk, optical disk, computer Memory, Read-Only Memory (ROM), Random Access Memory (RAM), electrical carrier wave signals, telecommunications signals, software distribution medium, and the like.
It should be noted that the above-described device embodiments are merely illustrative, where the units described as separate parts may or may not be physically separate, and the parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on multiple network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of the present embodiment. In addition, in the drawings of the embodiment of the apparatus provided by the present invention, the connection relationship between the modules indicates that there is a communication connection between them, and may be specifically implemented as one or more communication buses or signal lines. One of ordinary skill in the art can understand and implement it without inventive effort.
While the foregoing is directed to the preferred embodiment of the present invention, it will be understood by those skilled in the art that various changes and modifications may be made without departing from the spirit and scope of the invention.
Claims (10)
1. A method of generating a vehicle power output strategy, comprising:
acquiring the current vehicle speed, suspension data acquired by a suspension sensor and driving data acquired by a driving data acquisition device;
calculating the suspension data and the current vehicle speed according to a preset road condition model based on an AI technology to obtain corresponding road condition data;
calculating the driving data through a preset vehicle driving habit model to obtain corresponding driving behavior data;
and calculating the road condition data and the driving behavior data according to a preset power-saving strategy output model, and outputting a corresponding power output strategy so that the vehicle runs according to the power output strategy.
2. The method of generating a vehicle power take-off strategy of claim 1, further comprising:
the method comprises the steps of obtaining outdoor environment information of a vehicle, which is collected by an environment information collecting device, and obtaining current road congestion data according to the outdoor environment information;
correspondingly, calculating the suspension data and the current vehicle speed according to a preset road condition model based on an AI technology to obtain corresponding road surface leveling data;
and searching corresponding road condition data according to the road surface leveling data and the current road surface congestion data.
3. A method of generating a vehicle power output strategy according to claim 1, characterized in that the method obtains the preset AI-technology-based road condition model by:
acquiring historical suspension data, historical vehicle speed and historical road surface leveling data;
and carrying out convolutional neural network training on the initial convolutional neural network through the historical suspension data, the historical vehicle speed and the historical road surface leveling data to obtain a trained road surface condition model based on the AI technology.
4. The method for generating a vehicle power output strategy according to claim 1, wherein the calculating the road condition data and the driving data according to a preset power-saving strategy output model and outputting a corresponding power output strategy to enable a vehicle to run according to the power output strategy comprises:
searching a corresponding driving behavior score according to the driving behavior data;
searching corresponding road condition scores according to the road condition data;
and calculating the road condition score and the driving behavior score according to a preset power-saving strategy output model, and outputting a corresponding power output strategy so that the vehicle runs according to the power output strategy.
5. The method for generating a vehicle power output strategy according to claim 4, wherein the road condition score and the driving behavior score are calculated according to a preset power-saving strategy output model, and a corresponding power output strategy is output, so that a vehicle runs according to the power output strategy, specifically comprising:
calculating the road condition score and the driving behavior score according to a preset weight to obtain a current vehicle driving state score;
and searching a corresponding power output strategy in a corresponding relation between a preset vehicle running state grade and a power output strategy according to the current vehicle running state grade so as to enable the vehicle to run according to the power output strategy.
6. The method of generating a vehicle power take-off strategy of claim 1, further comprising:
acquiring current vehicle energy consumption data;
correspondingly, calculating the current vehicle energy consumption data, the road condition data and the driving behavior data according to a preset power-saving strategy output model, and outputting a corresponding power output strategy so that the vehicle runs according to the power output strategy.
7. A method of generating a vehicle power output strategy according to claim 6, characterized in that the method obtains the preset power saving strategy output model by:
acquiring historical vehicle energy consumption data, historical road condition data, historical driving data and historical power output strategies;
and carrying out convolutional neural network training on the initial convolutional neural network through the historical vehicle energy consumption data, the historical road condition data, the historical driving data and the historical power output strategy to obtain a trained power-saving strategy output model.
8. A vehicle power output strategy generation apparatus, characterized by comprising:
the first acquisition module is used for acquiring the current vehicle speed, suspension data acquired by a suspension sensor and driving data acquired by a driving data acquisition device;
the first processing module is used for calculating the suspension data and the current vehicle speed according to a preset road condition model based on an AI technology to obtain corresponding road condition data;
the second processing module is used for calculating the driving data through a preset vehicle driving habit model to obtain corresponding driving behavior data;
and the power output strategy generation module is used for calculating the road condition data and the driving data according to a preset power-saving strategy output model and outputting a corresponding power output strategy so that the vehicle runs according to the power output strategy.
9. A computer-readable storage medium, characterized in that the computer-readable storage medium comprises a stored computer program, wherein the computer program, when executed, controls an apparatus in which the computer-readable storage medium is located to perform the method of generating a vehicle power output strategy according to any one of claims 1 to 7.
10. A vehicle data interaction system, comprising: the system comprises a road condition analysis system for analyzing road conditions, a vehicle driving behavior analysis system for analyzing vehicle driving behaviors, a vehicle power output strategy generation system for determining a power output strategy according to the road conditions and the vehicle driving behaviors, and a generation system cloud database for sending acquired vehicle operation data of at least one vehicle to the road condition analysis system, the vehicle driving behavior analysis system and the vehicle power output strategy; wherein the generation system of the vehicle power output strategy implements the generation method of the vehicle power output strategy according to any one of claims 1 to 7 when executing the computer program;
the cloud database is respectively connected with the road condition analysis system, the vehicle driving behavior analysis system and the vehicle power output strategy generation system; the road condition analysis system and the vehicle driving behavior analysis system are respectively connected with the vehicle power output strategy generation system;
the cloud database is further used for issuing the power output strategy obtained by the vehicle power output strategy generating system to at least one vehicle.
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