CN115230526A - Method and device for estimating remaining endurance mileage of automobile and automobile - Google Patents

Method and device for estimating remaining endurance mileage of automobile and automobile Download PDF

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CN115230526A
CN115230526A CN202210461832.8A CN202210461832A CN115230526A CN 115230526 A CN115230526 A CN 115230526A CN 202210461832 A CN202210461832 A CN 202210461832A CN 115230526 A CN115230526 A CN 115230526A
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vehicle
battery
state
current
energy consumption
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郭艳艳
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Great Wall Motor Co Ltd
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Great Wall Motor Co Ltd
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    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B60—VEHICLES IN GENERAL
    • B60L—PROPULSION OF ELECTRICALLY-PROPELLED VEHICLES; SUPPLYING ELECTRIC POWER FOR AUXILIARY EQUIPMENT OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRODYNAMIC BRAKE SYSTEMS FOR VEHICLES IN GENERAL; MAGNETIC SUSPENSION OR LEVITATION FOR VEHICLES; MONITORING OPERATING VARIABLES OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRIC SAFETY DEVICES FOR ELECTRICALLY-PROPELLED VEHICLES
    • B60L58/00—Methods or circuit arrangements for monitoring or controlling batteries or fuel cells, specially adapted for electric vehicles
    • B60L58/10—Methods or circuit arrangements for monitoring or controlling batteries or fuel cells, specially adapted for electric vehicles for monitoring or controlling batteries
    • B60L58/12—Methods or circuit arrangements for monitoring or controlling batteries or fuel cells, specially adapted for electric vehicles for monitoring or controlling batteries responding to state of charge [SoC]
    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B60—VEHICLES IN GENERAL
    • B60L—PROPULSION OF ELECTRICALLY-PROPELLED VEHICLES; SUPPLYING ELECTRIC POWER FOR AUXILIARY EQUIPMENT OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRODYNAMIC BRAKE SYSTEMS FOR VEHICLES IN GENERAL; MAGNETIC SUSPENSION OR LEVITATION FOR VEHICLES; MONITORING OPERATING VARIABLES OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRIC SAFETY DEVICES FOR ELECTRICALLY-PROPELLED VEHICLES
    • B60L3/00—Electric devices on electrically-propelled vehicles for safety purposes; Monitoring operating variables, e.g. speed, deceleration or energy consumption
    • B60L3/12—Recording operating variables ; Monitoring of operating variables
    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B60—VEHICLES IN GENERAL
    • B60L—PROPULSION OF ELECTRICALLY-PROPELLED VEHICLES; SUPPLYING ELECTRIC POWER FOR AUXILIARY EQUIPMENT OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRODYNAMIC BRAKE SYSTEMS FOR VEHICLES IN GENERAL; MAGNETIC SUSPENSION OR LEVITATION FOR VEHICLES; MONITORING OPERATING VARIABLES OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRIC SAFETY DEVICES FOR ELECTRICALLY-PROPELLED VEHICLES
    • B60L58/00—Methods or circuit arrangements for monitoring or controlling batteries or fuel cells, specially adapted for electric vehicles
    • B60L58/10—Methods or circuit arrangements for monitoring or controlling batteries or fuel cells, specially adapted for electric vehicles for monitoring or controlling batteries
    • B60L58/16—Methods or circuit arrangements for monitoring or controlling batteries or fuel cells, specially adapted for electric vehicles for monitoring or controlling batteries responding to battery ageing, e.g. to the number of charging cycles or the state of health [SoH]
    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B60—VEHICLES IN GENERAL
    • B60L—PROPULSION OF ELECTRICALLY-PROPELLED VEHICLES; SUPPLYING ELECTRIC POWER FOR AUXILIARY EQUIPMENT OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRODYNAMIC BRAKE SYSTEMS FOR VEHICLES IN GENERAL; MAGNETIC SUSPENSION OR LEVITATION FOR VEHICLES; MONITORING OPERATING VARIABLES OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRIC SAFETY DEVICES FOR ELECTRICALLY-PROPELLED VEHICLES
    • B60L2240/00—Control parameters of input or output; Target parameters
    • B60L2240/40—Drive Train control parameters
    • B60L2240/54—Drive Train control parameters related to batteries
    • B60L2240/545—Temperature
    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B60—VEHICLES IN GENERAL
    • B60L—PROPULSION OF ELECTRICALLY-PROPELLED VEHICLES; SUPPLYING ELECTRIC POWER FOR AUXILIARY EQUIPMENT OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRODYNAMIC BRAKE SYSTEMS FOR VEHICLES IN GENERAL; MAGNETIC SUSPENSION OR LEVITATION FOR VEHICLES; MONITORING OPERATING VARIABLES OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRIC SAFETY DEVICES FOR ELECTRICALLY-PROPELLED VEHICLES
    • B60L2240/00—Control parameters of input or output; Target parameters
    • B60L2240/40—Drive Train control parameters
    • B60L2240/54—Drive Train control parameters related to batteries
    • B60L2240/547—Voltage
    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B60—VEHICLES IN GENERAL
    • B60L—PROPULSION OF ELECTRICALLY-PROPELLED VEHICLES; SUPPLYING ELECTRIC POWER FOR AUXILIARY EQUIPMENT OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRODYNAMIC BRAKE SYSTEMS FOR VEHICLES IN GENERAL; MAGNETIC SUSPENSION OR LEVITATION FOR VEHICLES; MONITORING OPERATING VARIABLES OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRIC SAFETY DEVICES FOR ELECTRICALLY-PROPELLED VEHICLES
    • B60L2240/00—Control parameters of input or output; Target parameters
    • B60L2240/40—Drive Train control parameters
    • B60L2240/54—Drive Train control parameters related to batteries
    • B60L2240/549—Current
    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B60—VEHICLES IN GENERAL
    • B60L—PROPULSION OF ELECTRICALLY-PROPELLED VEHICLES; SUPPLYING ELECTRIC POWER FOR AUXILIARY EQUIPMENT OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRODYNAMIC BRAKE SYSTEMS FOR VEHICLES IN GENERAL; MAGNETIC SUSPENSION OR LEVITATION FOR VEHICLES; MONITORING OPERATING VARIABLES OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRIC SAFETY DEVICES FOR ELECTRICALLY-PROPELLED VEHICLES
    • B60L2260/00—Operating Modes
    • B60L2260/40—Control modes
    • B60L2260/50—Control modes by future state prediction
    • B60L2260/52—Control modes by future state prediction drive range estimation, e.g. of estimation of available travel distance
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02T—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO TRANSPORTATION
    • Y02T10/00—Road transport of goods or passengers
    • Y02T10/60—Other road transportation technologies with climate change mitigation effect
    • Y02T10/70—Energy storage systems for electromobility, e.g. batteries

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  • Engineering & Computer Science (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Sustainable Development (AREA)
  • Sustainable Energy (AREA)
  • Power Engineering (AREA)
  • Transportation (AREA)
  • Mechanical Engineering (AREA)
  • Electric Propulsion And Braking For Vehicles (AREA)

Abstract

The application discloses a method for estimating remaining endurance mileage of an automobile, which comprises the following steps: responding to a trigger event of the remaining endurance mileage, acquiring battery temperature and battery working condition parameters of a vehicle at the current moment, and acquiring energy consumption of the vehicle, wherein the battery working condition parameters comprise total system pressure, battery health state and charge state; determining a rated capacity of a battery based on currents at a plurality of historical moments before a current moment and the battery temperature; obtaining the available electric quantity of the battery based on the rated capacity and the battery working condition parameters; and determining the remaining driving range of the vehicle according to the available electric quantity and the energy consumption. According to the scheme, the change of the available capacity of the battery under the low-temperature condition is considered, so that the residual driving range of the vehicle obtained based on the ratio of the available electric quantity to the energy consumption of the vehicle is more accurate, and the condition that the driver estimates the residual driving range of the vehicle wrongly is avoided.

Description

Method and device for estimating remaining endurance mileage of automobile and automobile
Technical Field
The application relates to the technical field of vehicle control, in particular to a method and a device for predicting remaining endurance mileage of an automobile and the automobile.
Background
In the field of electric automobiles, accurate estimation of the remaining driving range is of great significance to planning of travel routes by drivers. In the prior art, the remaining range of the vehicle is estimated in two ways, one is to improve the estimation accuracy by improving the algorithm, and the other is to train the model to directly estimate the remaining range of the vehicle. With the rapid development of big data technology, the combined application of internet of vehicles and big data technology is also becoming an enthusiastic research direction for the trade personnel.
In the process of implementing the invention, the inventor finds that at least the following technical problems exist in the prior art: the method is characterized in that the remaining driving range is estimated by adopting an algorithm, and the change of the available capacity of a vehicle battery under the low-temperature condition is not considered during estimation, so that the estimated driving range is inaccurate and does not accord with the actual remaining driving range, and the situation that the electric vehicle is out of power on the half road due to estimation error of a driver occurs.
Disclosure of Invention
The application provides a method, a device and a vehicle for estimating the remaining endurance mileage of the vehicle aiming at the problem of inaccurate estimation of the remaining endurance mileage of the vehicle in the prior art, and the specific technical scheme is as follows:
in a first aspect of the embodiment of the present application, a method for predicting a remaining driving range of an automobile is provided, where the method includes:
responding to a trigger event of the remaining endurance mileage, acquiring battery temperature and battery working condition parameters of a vehicle at the current moment, and acquiring energy consumption of the vehicle, wherein the battery working condition parameters comprise total system pressure, battery health state and charge state;
determining a rated capacity of a battery based on currents at a plurality of historical moments before a current moment and the battery temperature;
obtaining the available electric quantity of the battery based on the rated capacity and the battery working condition parameters;
and determining the remaining endurance mileage of the vehicle according to the available electric quantity and the energy consumption.
Optionally, obtaining the energy consumption of the vehicle comprises:
when the current state of the vehicle is a normal driving state, acquiring the driving mileage of the vehicle within a first preset time before the current moment, and acquiring the vector sum of battery charging and discharging within the first preset time;
and obtaining the energy consumption of the vehicle according to the driving mileage and the vector sum.
Optionally, obtaining the energy consumption of the vehicle comprises:
when the current state of the vehicle is a starting state or a charging state, acquiring a plurality of real-time energy consumptions of the vehicle within a second preset time; wherein the real-time energy consumption is determined based on the driving mileage of the vehicle and the vector sum of the charging and discharging of the battery within a first preset time;
and acquiring the energy consumption of the vehicle based on a plurality of real-time energy consumptions.
Optionally, determining a rated capacity of the battery based on the current at a plurality of historical times before the current time and the battery temperature, comprises:
determining a root mean square current value corresponding to the current moment based on the currents of a plurality of historical moments before the current moment;
and looking up a table to obtain the rated capacity based on the root mean square current value and the battery temperature.
Optionally, obtaining an available capacity of the battery based on the rated capacity and the battery operating condition parameter includes:
and taking the product of the total system pressure, the battery state of health, the state of charge and the rated capacity as the available electric quantity.
Optionally, after determining the remaining range of the vehicle, the method further comprises:
acquiring the driving mileage between the current position and the target position of the vehicle;
determining whether the vehicle needs to be charged according to the remaining driving mileage of the vehicle and the driving mileage;
and if so, sending prompt information to the driver.
Optionally, after obtaining the driving range between the current position and the target position of the vehicle, the method further comprises:
determining a corresponding charging pile position according to the current position, the remaining endurance mileage and the driving mileage;
and sending the charging pile position to a driver terminal so as to remind a driver of the charging pile position near the current position.
In addition, in order to achieve the above object, the present application further provides a device for estimating a remaining driving range of an automobile, the device comprising:
an acquisition module: the method comprises the steps of responding to a trigger event of the remaining driving mileage, obtaining the battery temperature and the battery working condition parameters of the vehicle at the current moment, and obtaining the energy consumption of the vehicle, wherein the battery working condition parameters comprise: total system pressure, battery state of health and state of charge;
a first determination module: the battery temperature control method comprises the steps of determining a rated capacity of a battery based on currents at a plurality of historical moments before a current moment and the battery temperature;
an obtaining module: the battery management system is used for obtaining the available electric quantity of the battery based on the rated capacity and the battery working condition parameters;
a second determination module: and the controller is used for determining the remaining driving range of the vehicle according to the available electric quantity and the energy consumption.
Optionally, the obtaining module is specifically configured to:
when the current state of the vehicle is a normal driving state, acquiring the driving mileage of the vehicle within a first preset time before the current moment, and acquiring the vector sum of battery charging and discharging within the first preset time;
and obtaining the energy consumption of the vehicle according to the driving mileage and the vector sum.
Optionally, the obtaining module is further specifically configured to:
when the current state of the vehicle is a starting state or a charging state, acquiring a plurality of real-time energy consumptions of the vehicle within a second preset time; wherein the real-time energy consumption is determined based on the driving mileage of the vehicle and the vector sum of the charging and discharging of the battery within a first preset time;
and acquiring the energy consumption of the vehicle based on a plurality of real-time energy consumptions.
Further, to achieve the above object, the present application also provides a vehicle including: the device comprises a memory and a processor, wherein the memory is used for storing a computer program, and the processor is used for calling and running the computer program stored in the memory, and is characterized in that the processor realizes the method for estimating the residual driving range of the automobile when executing the computer program.
The application has the following beneficial effects:
the embodiment of the application provides a method for predicting the remaining driving mileage of an automobile, and the method can determine the actual available capacity of a battery according to the current of a plurality of historical moments before the current moment and the battery temperature in the battery working condition parameters by acquiring the battery temperature and the battery working condition parameters of the automobile at the current moment; compared with the prior art in which the estimation algorithm of the remaining driving range is used, the available electric quantity of the battery is calculated only through the battery charge state, the battery health state and the battery voltage, because the capacity of the battery changes under the condition that the battery discharge current changes, the capacity of the battery also changes under the condition that the temperature changes, and the change of the battery capacity directly influences the change of the available electric quantity of the battery, the method considers the change of the available capacity of the battery under the low-temperature condition and under the condition that the battery discharge current changes, obtains the actual capacity of the battery, and obtains the actual available electric quantity of the battery according to the actual capacity of the battery and the battery working condition parameters, so that the vehicle remaining driving range obtained based on the ratio of the available electric quantity to the energy consumption of the vehicle is more accurate, and the situation that the electric vehicle is in half-way without electricity due to estimation errors of a driver is reduced.
Drawings
In order to more clearly illustrate the technical solutions of the present application, the drawings needed to be used in the description of the present application will be briefly introduced below, and it is apparent that the drawings in the following description are only some embodiments of the present application, and it is obvious for those skilled in the art that other drawings can be obtained according to the drawings without inventive labor.
FIG. 1 is a schematic flow chart illustrating a method for estimating remaining driving range of an automobile according to an embodiment of the present application;
FIG. 2 is a schematic flow chart illustrating a method for estimating remaining driving range of a vehicle according to another embodiment of the present application;
fig. 3 is a schematic structural diagram of an apparatus for estimating remaining driving range of an automobile according to an embodiment of the present application.
Detailed Description
In order to make the aforementioned objects, features and advantages of the present application more comprehensible, the present application is described in further detail with reference to the accompanying drawings and the detailed description. It is to be understood that the embodiments described are only a few embodiments of the present application and not all embodiments. All other embodiments obtained by a person of ordinary skill in the art based on the embodiments in the present application without making any creative effort belong to the protection scope of the present application.
In the prior art, researchers use an algorithm to estimate the remaining driving range, for example, in an actual operation, the available electric quantity of a battery is calculated only through the state of charge of the battery, the state of health of the battery and the voltage of the battery, and the change of the battery capacity under the condition of the temperature change of the battery and the change of the battery capacity under the condition of the discharge current change of the battery are not considered, so that the estimated driving range is inaccurate and does not accord with the actual remaining driving range, and the situation that a driver has no electricity at half way due to estimation error occurs.
The main solution of the embodiment of the application is as follows: the method, the device and the vehicle for estimating the remaining endurance mileage of the automobile are provided, and the main concept is that: the method comprises the steps of determining the capacity of a battery at the current temperature based on the current values of the battery at a plurality of historical moments and the battery temperature in battery working condition parameters, comprehensively determining the available electric quantity of the battery according to the capacity and the battery working condition parameters, and determining the remaining endurance mileage of the vehicle according to the available electric quantity and energy consumption.
Referring to fig. 1, fig. 1 shows a schematic flow chart of a method for estimating remaining driving mileage of an automobile according to the embodiment of the present application, specifically including the following steps:
s101, responding to a trigger event of the remaining endurance mileage, obtaining battery temperature and battery working condition parameters of a vehicle at the current moment, and obtaining energy consumption of the vehicle, wherein the battery working condition parameters comprise total system pressure, battery health state and charge state;
in a specific implementation process, the trigger event for the remaining endurance mileage may be triggered based on an operation instruction of the driver, for example, when the driver needs to check the remaining endurance mileage of the vehicle under the current electric quantity, the trigger event for the remaining endurance mileage is triggered based on a click instruction of the driver; it may also be triggered by the vehicle being low on charge at the present time, for example, a trigger event for remaining range is triggered when the vehicle displays 20% of charge remaining. The trigger events of the remaining endurance mileage are only exemplary illustrations, and the trigger events of the remaining endurance mileage are not limited in the present application.
And the battery working condition parameters comprise system total pressure, battery health state and charge state, and the battery working condition parameters are used for calculating available electric quantity. The energy consumption of the vehicle is the real-time energy consumption of the vehicle at the current moment or the average energy consumption obtained based on a plurality of real-time energy consumptions at the current moment, and is obtained based on different calculation modes of the vehicle under different working conditions; specifically, when the vehicle is in a normal driving state, the real-time energy consumption of the vehicle is obtained as the energy consumption of the vehicle through the driving mileage of the vehicle in a first preset time before the current time and the vector sum of battery charging and discharging; or under special working conditions such as a vehicle starting state and a charging state, taking the average value of a plurality of real-time energy consumptions at historical moments before the current moment as the energy consumption of the vehicle. It should be noted that, in the present application, charging in a normal driving state is charging in energy recovery, and is distinguished from a charging state in which charging is performed by using an external charging pile.
And S102, determining the rated capacity of the battery based on the current at a plurality of historical moments before the current moment and the battery temperature.
In a specific implementation, under normal conditions, the capacity of the battery decreases with the increase of the discharge rate, that is, the larger the discharge current, the smaller the capacity of the battery. And when the environmental temperature changes, the capacity of the battery is reduced under the condition of lower temperature, and in such a state, the discharge current change of the battery and the condition of the temperature change of the battery caused by the environmental temperature need to be comprehensively considered so as to determine the capacity of the battery under the actual condition.
And S103, obtaining the available electric quantity of the battery based on the rated capacity and the battery working condition parameters.
In a specific implementation process, the available electric quantity of the battery is obtained through comprehensive calculation based on the rated capacity of the battery obtained through the steps and by combining the total system pressure, the battery health state and the state of charge in the working condition parameters of the battery.
And S104, determining the remaining endurance mileage of the vehicle according to the available electric quantity and the energy consumption.
In a specific implementation process, the remaining driving range of the vehicle is calculated and obtained based on the ratio of the available electric quantity to the energy consumption.
According to the scheme, the battery temperature and the battery working condition parameters of the vehicle at the current moment are obtained, so that the actual available capacity of the battery can be determined according to the currents at a plurality of historical moments before the current moment and the battery temperature in the battery working condition parameters; compared with the prior art in which the remaining driving range is estimated, the available electric quantity of the battery is calculated only through the battery charge state, the battery health state and the battery voltage, and because the capacity of the battery changes under the condition that the battery discharge current changes and the capacity of the battery also changes under the condition that the temperature changes, and the change of the battery capacity directly influences the change of the available electric quantity of the battery, the scheme considers the change of the available capacity of the battery under the low-temperature condition and under the condition that the battery discharge current changes, obtains the actual capacity of the battery, and obtains the actual available electric quantity of the battery according to the actual capacity of the battery and the battery working condition parameters, the vehicle remaining driving range obtained based on the ratio of the available electric quantity to the energy consumption of the vehicle is more accurate, and the situation that the electric vehicle has no electricity on a half road due to the estimation error of a driver is reduced.
In some embodiments, obtaining energy consumption of the vehicle comprises:
when the current state of the vehicle is a normal driving state, acquiring the driving mileage of the vehicle within a first preset time before the current moment, and acquiring the vector sum of battery charging and discharging within the first preset time;
and obtaining the energy consumption of the vehicle according to the driving mileage and the vector sum.
In a specific implementation process, the driving mileage refers to a distance traveled by the vehicle within a first preset time, and the vector sum of the charging and discharging of the battery is the total amount of the charging and discharging of the battery within the first preset time, wherein the sign of the discharging of the battery is positive, and the sign of the charging of the battery is negative.
According to the scheme, under the condition that the vehicle is in a normal driving state, the energy consumption of the vehicle is calculated by obtaining the driving mileage and the vector sum within the first preset time, the calculated energy consumption is the energy consumption of the vehicle in the real-time running process, the obtained energy consumption is the energy consumption of the vehicle in the real-time running process, and the subsequent calculation of the endurance mileage is more accurate.
It should be noted that the first preset time refers to a time range before the current time of the vehicle, for example, the current time is 9; for another example, the current time is 14.
In some embodiments, obtaining energy consumption of the vehicle comprises:
when the current state of the vehicle is a starting state or a charging state, acquiring a plurality of real-time energy consumptions of the vehicle within a second preset time; wherein the real-time energy consumption is determined based on the driving mileage of the vehicle and the vector sum of the charging and discharging of the battery within a first preset time;
and acquiring the energy consumption of the vehicle based on a plurality of real-time energy consumptions.
In a specific implementation process, when the current state of the vehicle is a starting state or a charging state, the energy consumption of the vehicle is obtained based on the average value of a plurality of real-time energy consumptions.
According to the scheme, when the vehicle is in a charging state, the vehicle is in a static state, and the corresponding endurance mileage is increased, so that the condition that the real-time energy consumption is 0 can be caused by directly estimating the endurance mileage by using the running mileage within the first preset time and the vector sum of charging and discharging of the battery; in the starting state of the vehicle, the driving range of the vehicle cannot be estimated because the working condition of the vehicle at the next moment is not clear. Under the two conditions, the average energy consumption corresponding to the real-time energy consumption obtained in the second preset time is used for calculating the endurance mileage of the vehicle, so that the endurance mileage calculation is more practical.
It should be noted that the second preset time range is longer than the first preset time range. For example, in a working day of the last week of the vehicle, the real-time energy consumptions of the vehicle in the normal operation process after the vehicle is in a starting state are respectively K1, K2, K3, K4 and K5, in this case, the real-time energy consumption of the vehicle is (K1 + K2+ K3+ K4+ K5)/5, if the value of K4 is greatly different from the remaining 4 values, the value of K4 may be ignored, and the real-time energy consumption of the vehicle may be (K1 + K2+ K3+ K5)/4 at this time.
In some embodiments, determining a rated capacity of the battery based on the current at a plurality of historical times prior to the current time and the battery temperature comprises:
determining a root mean square current value corresponding to the current moment based on the currents of a plurality of historical moments before the current moment;
and looking up a table to obtain the rated capacity based on the root mean square current value and the battery temperature.
In a specific implementation, root mean square is a mathematical concept, which refers to a mathematical method of summing squares of all values, averaging them, and then squaring them in a statistical analysis of data, and defining the effective voltage or current of the AC wave.
In the scheme, the drastic condition of the working condition change of the vehicle in the recent period of time can be reflected by the root mean square current value in the recent period of time, if the current is adopted to obtain the available electric quantity, the current is continuously obtained, so that the value of the current can be continuously changed, the driving mileage of the vehicle is estimated to be continuously changed, and a user can possibly consider that the vehicle breaks down, so that the user experience is poor.
In a specific implementation, the rated capacity is obtained with reference to the following table:
TABLE 1 rated capacity at different temperatures and different currents of the battery
Figure BDA0003622406980000091
Referring to table 1, the rated capacities of the battery at different temperatures and different currents, for example, the current battery temperature is 25 degrees celsius and the discharge rate of the current at this time is
Figure BDA0003622406980000092
The rated capacity of the battery at the moment is 50mAh by looking up a table.
It is understood that when the discharge current of the battery is 300mA, and the discharge rate is
Figure BDA0003622406980000093
Since the discharge rate = discharge current/rated capacity, the rated capacity of the battery is 900mAh, and the data of the above scheme is merely exemplary and is not related to actual data.
In some embodiments, obtaining the available charge of the battery based on the rated capacity and the battery operating condition parameter includes:
and taking the product of the total system pressure, the battery state of health, the state of charge and the rated capacity as the available electric quantity.
In a specific implementation process, the available electric quantity is obtained according to the following formula:
E can be used ＝V*C 0 *SOC*SOH
Wherein, E Can be used For available electric quantity, V is total system pressure, C 0 At rated capacity, SOC is state of charge and SOH is state of health of the battery.
In some embodiments, after determining the remaining range of the vehicle, the method further comprises:
the driving mileage between the current position and the target position of the vehicle is acquired.
In a particular implementation, the target location is a destination of the vehicle, and the target location is obtained based on a destination input by the driver.
Determining whether the vehicle needs to be charged according to the remaining driving mileage of the vehicle and the driving mileage; and if so, sending prompt information to the driver.
In a specific implementation process, the calculated remaining driving range of the vehicle is compared with the driving range, when the remaining driving range of the vehicle is greater than the driving range, the vehicle does not need to be reminded of charging, and when the remaining driving range of the vehicle is less than the driving range, the electric quantity is proved to be insufficient to drive the expected driving range, and prompt information is sent to the driver to remind the driver of charging.
According to the scheme, the residual driving mileage is estimated in the driving process of the vehicle, so that the residual driving mileage is compared with the actual driving mileage of the vehicle, the driver is reminded to charge, and the driver can charge in time to complete the expected driving mileage.
In some embodiments, after determining the remaining range of the vehicle, the method further comprises:
determining a corresponding charging pile position according to the current position, the remaining endurance mileage and the driving mileage;
in a specific implementation process, when the corresponding charging pile position is determined according to the current position, the remaining driving range and the driving range, the current position and an end position of the driving range at the end can be displayed on a map, so that the current position can be used as a starting point, the end position can be used as an end point, a plurality of charging pile positions with the distance between the starting point and the end point being within the range of the remaining driving range are determined, and then one of the plurality of charging pile positions is sent to a driver terminal.
And sending the charging pile position to a driver terminal so as to remind a driver of the charging pile position near the current position.
In a specific implementation process, the charging pile position information acquired in the process is sent to a driver terminal, so that a driver is reminded of the charging pile position near the current position. The driver terminal can be a mobile phone, a tablet computer or vehicle-mounted equipment.
According to the scheme, the position information of the charging pile is sent to the driver terminal, so that the driver can directly obtain the position of the charging pile nearby, the driver does not need to inquire the position through App initiative inquiry of the position inquiry of the charging pile, the driver can operate conveniently, and the driving experience of the driver is improved.
Referring to fig. 2, fig. 2 shows a flowchart of a method for estimating remaining driving range of an automobile according to another embodiment of the present application, and the embodiment of the present application is exemplarily described with reference to fig. 2:
in the prior art, when estimating the remaining driving range of an electric vehicle, researchers usually adopt two ways to estimate the remaining driving range of the vehicle more accurately. The first method is to improve an algorithm to improve estimation accuracy, but energy consumption differences of the vehicle under different working conditions are not considered in the improvement process, so that the estimation of the remaining endurance mileage of the vehicle is inaccurate; the second method is to estimate the remaining endurance mileage through a neural network algorithm according to the vehicle working condition and the external environment, and although this method can quickly obtain a relatively accurate estimation result, because a large amount of training needs to be performed on the neural network to obtain a training model, under the condition that the vehicle working condition and the training condition are different, the obtained estimation result has a relatively large deviation from the actual result.
Specifically, the embodiment provides a method for estimating the remaining driving mileage of an automobile, which includes the following steps:
s1: the method comprises the steps of obtaining the distance of a vehicle in a first preset time, the temperature of a battery and battery working condition parameters, wherein the battery working condition parameters comprise the total system pressure, the battery health state and the state of charge.
S2: the method comprises the steps of obtaining a plurality of current values of a vehicle in a first preset time, and obtaining a root mean square current value according to the current values.
S3: and looking up a table to obtain the rated capacity of the battery according to the root mean square current value and the battery temperature.
S4: and calculating to obtain the available electric quantity of the battery according to the rated capacity, the total system pressure, the battery health state and the charge state.
S5: and judging whether the current state of the vehicle is in a charging state or a starting state, if so, executing step S6, and if not, executing step S8.
S6: and under the condition that the current state of the vehicle is a charging state or a starting state, obtaining the energy consumption of the vehicle based on a plurality of real-time energy consumptions between current moments, wherein the real-time energy consumptions are determined based on the driving mileage of the vehicle within a first preset time and the vector sum of the charging and discharging of the battery.
S7: and calculating and obtaining the remaining driving range of the vehicle based on the available electric quantity and the energy consumption of the vehicle obtained in the step S6.
S8: and in the case that the current state of the vehicle is not in a charging state or a starting state, determining the energy consumption of the vehicle based on the mileage of the vehicle within the first preset time, and the vector sum of the charging and discharging of the battery.
S9: and calculating and obtaining the remaining driving mileage of the vehicle based on the available electric quantity and the energy consumption of the vehicle obtained in the step S8.
The present embodiment is further explained with reference to the above steps S1 to S9:
according to the scheme, in the running process of the vehicle, the driving mileage of the vehicle in a first preset time and the working condition parameters of the battery are obtained, a plurality of current values in the first preset time range are collected, the root mean square current in the first preset time range is obtained through calculation, the rated capacity of the battery is obtained through table lookup according to the temperature of the battery, and the available capacity of the battery is obtained through calculation according to the rated capacity and the system total pressure in the working condition parameters of the battery, the health state of the battery and the charge state of the battery. Under the normal running state of the vehicle, calculating the real-time energy consumption in the running process of the vehicle as the energy consumption of the vehicle, thereby obtaining the remaining endurance mileage of the vehicle according to the real-time energy consumption and the available electric quantity; when the vehicle is in a charging state and a starting state, calculating a plurality of real-time energy consumptions of the vehicle in a historical normal driving state so as to obtain average energy consumptions of a plurality of implementation energy consumptions, and calculating and obtaining the remaining endurance mileage of the vehicle according to the average energy consumption and the available electric quantity.
In step S2, the root mean square current value is obtained according to the following formula
Figure BDA0003622406980000121
Figure BDA0003622406980000131
Wherein n represents that n currents are collected within a first preset time range, I k The current value is the kth current value of n current values, n and k are positive integers, and the value range of k is [1, n ]]。
In step S4, the available electric quantity E is calculated and obtained according to the following formula Can be used ：
E Can be used ＝V*C 0 *SOC*SOH
Wherein V is the total system pressure, C 0 For rated capacity, SOC is state of charge and SOH is battery state of health.
In step S8, when the vehicle is in a normal driving state, calculating and obtaining real-time energy consumption K in the vehicle running process according to the following formula s ：
Figure BDA0003622406980000132
And delta E is the vector sum of the charging and discharging of the battery in the first preset time.
In step S9, the remaining driving range S of the vehicle in the normal driving state is calculated and obtained according to the following formula 1 ：
Figure BDA0003622406980000133
In step S6, when the vehicle is in a charging state or a starting state, calculating and obtaining the average energy consumption K in the vehicle running process according to the following formula 0 ：
Figure BDA0003622406980000134
Wherein m represents that a plurality of real-time energy consumptions are collected within a second preset time of the vehicle, K sj Means that j is the jth real-time energy consumption in m real-time energy consumptions, m and j are positive integers, and the value range of j is [1, m ]]。
In step S7, the remaining driving range S of the vehicle in the charging state or the starting state is calculated and obtained according to the following formula 2 ：
Figure BDA0003622406980000141
Compared with the prior art in which the remaining driving range is estimated, the available electric quantity of the battery is calculated only through the battery charge state, the battery health state and the battery voltage, because the capacity of the battery changes under the condition that the battery discharge current changes, and the capacity of the battery also changes under the condition that the temperature changes, and the change of the battery capacity directly affects the change of the available electric quantity of the battery, the scheme considers the change of the available capacity of the battery under the low-temperature condition and under the condition that the battery discharge current changes, obtains the actual capacity of the battery, and obtains the actual available electric quantity of the battery according to the actual capacity of the battery and the battery working condition parameters, so that the vehicle remaining driving range obtained based on the ratio of the available electric quantity to the energy consumption of the vehicle is more accurate, and the situation that the electric vehicle has no electricity in a half-way due to the estimation error of a driver is reduced.
In addition, the scheme calculates the root mean square current, the vector sum of battery charging and discharging and the average energy consumption of the vehicle based on the statistical function of historical data, does not need to estimate the remaining endurance mileage of the vehicle through a training model, reduces the time cost, does not depend on the training condition of the training model, and increases the operability of estimating the remaining endurance mileage of the vehicle under different working conditions of the vehicle.
In addition, in order to achieve the above object, an embodiment of the present application further provides a device for estimating a remaining driving range of an automobile, and referring to fig. 3, fig. 3 shows a schematic structural diagram of a device for estimating a remaining driving range of an automobile in an embodiment of the present application, where the device includes:
the acquisition module 1001: the method comprises the steps of responding to a trigger event of the remaining driving mileage, obtaining the battery temperature and the battery working condition parameters of the vehicle at the current moment, and obtaining the energy consumption of the vehicle, wherein the battery working condition parameters comprise: system total pressure, battery health state and state of charge;
the first determination module 1002: the battery temperature control device is used for determining rated capacity of the battery based on the current at a plurality of historical moments before the current moment and the battery temperature;
the obtaining module 1003: the battery charging system is used for obtaining the available electric quantity of the battery based on the rated capacity and the battery working condition parameters;
the second determination module 1004: and the controller is used for determining the remaining driving range of the vehicle according to the available electric quantity and the energy consumption.
It should be noted that, in the present embodiment, each module in the apparatus for estimating the remaining driving range of the automobile is in one-to-one correspondence with each step in the method for estimating the remaining driving range of the automobile in the foregoing embodiment, and therefore, the specific implementation manner of the present embodiment may refer to the implementation manner of the method for estimating the remaining driving range of the automobile, and is not described herein again.
In some embodiments, the obtaining module 1001 is specifically configured to:
when the current state of the vehicle is a normal driving state, acquiring the driving mileage of the vehicle within a first preset time before the current moment, and acquiring the vector sum of battery charging and discharging within the first preset time;
and obtaining the energy consumption of the vehicle according to the driving mileage and the vector sum.
In some embodiments, the obtaining module 1001 is further specifically configured to:
when the current state of the vehicle is a starting state or a charging state, acquiring a plurality of real-time energy consumptions of the vehicle within a second preset time; the real-time energy consumption is determined based on the driving mileage of the vehicle in a first preset time and the vector sum of the charging and discharging of the battery;
and acquiring the energy consumption of the vehicle based on a plurality of real-time energy consumptions.
In some embodiments, the first determining module 1002 is specifically configured to:
determining a root mean square current value corresponding to the current moment based on the currents of a plurality of historical moments before the current moment;
looking up a table to obtain the rated capacity based on the root mean square current value and the battery temperature
In some embodiments, the obtaining module 1003 is specifically configured to:
and taking the product of the total system pressure, the battery health state, the state of charge and the rated capacity as the available electric quantity.
In some embodiments, the apparatus further comprises:
a position acquisition module: the system comprises a vehicle position acquisition unit, a target position acquisition unit and a display unit, wherein the vehicle position acquisition unit is used for acquiring the driving mileage between the current position and the target position of the vehicle;
a charging determination module: the system comprises a charging module, a charging module and a control module, wherein the charging module is used for determining whether the vehicle needs to be charged according to the remaining driving mileage of the vehicle and the driving mileage;
an information sending module: and the prompting information is sent to the driver under the condition that the vehicle is determined to need to be charged.
In some embodiments, the apparatus further comprises:
a position determination module: the charging pile position is determined according to the current position, the residual endurance mileage and the driving mileage;
an information sending module: and the charging pile position is sent to a driver terminal so as to remind a driver of the charging pile position near the current position.
Further, to achieve the above object, the present application also provides a vehicle including: the device comprises a memory and a processor, wherein the memory is used for storing a computer program, and the processor is used for calling and running the computer program stored in the memory, and is characterized in that the processor realizes the method for estimating the residual driving range of the automobile when executing the computer program.
The method for estimating the remaining driving range of the automobile can be applied to various types of automobiles, such as small-sized passenger cars, medium-sized passenger cars, large-sized passenger cars, heavy trucks and the like, so that the use experience of a driver can be optimized.
While preferred embodiments of the present application have been described, additional variations and modifications of these embodiments may occur to those skilled in the art once they learn of the basic inventive concepts. Therefore, it is intended that the appended claims be interpreted as including the preferred embodiment and all changes and modifications that fall within the true scope of the embodiments of the present application.
Finally, it should also be noted that, herein, relational terms such as first and second, and the like may be used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Also, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or terminal that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or terminal. Without further limitation, an element defined by the phrases "comprising one of 8230; \8230;" 8230; "does not exclude the presence of additional like elements in a process, method, article, or terminal device that comprises the element.
The method, the device and the vehicle for estimating the remaining driving range of the automobile are introduced in detail, specific examples are applied in the method to explain the principle and the implementation mode of the method, and the description of the embodiments is only used for helping to understand the method and the core idea of the method; meanwhile, for a person skilled in the art, according to the idea of the present application, the specific implementation manner and the application scope may be changed, and in summary, the content of the present specification should not be construed as a limitation to the present application.

Claims (10)

1. A method for estimating the remaining driving range of an automobile, which is characterized by comprising the following steps:
responding to a trigger event of the remaining endurance mileage, acquiring battery temperature and battery working condition parameters of a vehicle at the current moment, and acquiring energy consumption of the vehicle, wherein the battery working condition parameters comprise total system pressure, battery health state and charge state;
determining a rated capacity of a battery based on currents at a plurality of historical moments before a current moment and the battery temperature;
obtaining the available electric quantity of the battery based on the rated capacity and the battery working condition parameters;
and determining the remaining driving range of the vehicle according to the available electric quantity and the energy consumption.
2. The method of claim 1, wherein obtaining the energy consumption of the vehicle comprises:
when the current state of the vehicle is a normal driving state, acquiring the driving mileage of the vehicle within a first preset time before the current moment, and acquiring the vector sum of battery charging and discharging within the first preset time;
and obtaining the energy consumption of the vehicle according to the driving mileage and the vector sum.
3. The method of claim 1 or 2, wherein obtaining the energy consumption of the vehicle comprises:
when the current state of the vehicle is a starting state or a charging state, acquiring a plurality of real-time energy consumptions of the vehicle within a second preset time; wherein the real-time energy consumption is determined based on the driving mileage of the vehicle and the vector sum of the charging and discharging of the battery within a first preset time;
and acquiring the energy consumption of the vehicle based on a plurality of real-time energy consumptions.
4. The method of claim 1, wherein determining a battery rated capacity based on the current and the battery temperature at a plurality of historical times prior to the current time comprises:
determining a root mean square current value corresponding to the current moment based on the currents of a plurality of historical moments before the current moment;
and looking up a table to obtain the rated capacity based on the root mean square current value and the battery temperature.
5. The method of claim 1, wherein obtaining the available charge of the battery based on the rated capacity and the battery operating condition parameters comprises:
and taking the product of the total system pressure, the battery state of health, the state of charge and the rated capacity as the available electric quantity.
6. The method of claim 1, wherein after determining the remaining range of the vehicle, the method further comprises:
acquiring the driving mileage between the current position and the target position of the vehicle;
determining whether the vehicle needs to be charged according to the remaining driving mileage of the vehicle and the driving mileage;
and if so, sending prompt information to the driver.
7. The method of claim 6, wherein after obtaining the mileage between the current location and the target location of the vehicle, the method further comprises:
determining a corresponding charging pile position according to the current position, the remaining endurance mileage and the driving mileage;
and sending the charging pile position to a driver terminal to remind a driver of the charging pile position near the current position.
8. An apparatus for estimating a remaining driving range of an automobile, the apparatus comprising:
an acquisition module: the method comprises the steps of responding to a trigger event of the remaining driving mileage, obtaining the battery temperature and the battery working condition parameters of the vehicle at the current moment, and obtaining the energy consumption of the vehicle, wherein the battery working condition parameters comprise: total system pressure, battery state of health and state of charge;
a first determination module: the battery temperature control method comprises the steps of determining a rated capacity of a battery based on currents at a plurality of historical moments before a current moment and the battery temperature;
an obtaining module: the battery management system is used for obtaining the available electric quantity of the battery based on the rated capacity and the battery working condition parameters;
a second determination module: and the controller is used for determining the remaining driving range of the vehicle according to the available electric quantity and the energy consumption.
9. The apparatus of claim 8, wherein the obtaining module is specifically configured to:
when the current state of the vehicle is a normal driving state, acquiring the driving mileage of the vehicle within a first preset time before the current moment, and acquiring the vector sum of battery charging and discharging within the first preset time;
and obtaining the energy consumption of the vehicle according to the driving mileage and the vector sum.
10. A vehicle, characterized in that the vehicle comprises: a memory for storing a computer program, and a processor for calling and executing the computer program stored in the memory, wherein the processor implements the method for estimating the remaining driving range of the automobile according to any one of claims 1 to 7 when executing the computer program.
CN202210461832.8A 2022-04-28 2022-04-28 Method and device for estimating remaining endurance mileage of automobile and automobile Pending CN115230526A (en)

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Cited By (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN115583153A (en) * 2022-11-17 2023-01-10 达芬骑动力科技(北京)有限公司 Endurance mileage calculation method and device and computer equipment
CN116572799A (en) * 2023-07-13 2023-08-11 四川轻化工大学 Power battery charge duration prediction method, system and terminal based on deep learning
CN117227487A (en) * 2023-10-19 2023-12-15 赛力斯汽车有限公司 Electric vehicle energy consumption monitoring system and device and electric vehicle
CN117556589A (en) * 2024-01-04 2024-02-13 江阴飞阳电子科技有限公司 Intelligent calibration method and system for electric quantity of instrument
WO2024108424A1 (en) * 2022-11-23 2024-05-30 宁德时代新能源科技股份有限公司 Battery endurance capability determination method and apparatus, and vehicle

Cited By (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN115583153A (en) * 2022-11-17 2023-01-10 达芬骑动力科技(北京)有限公司 Endurance mileage calculation method and device and computer equipment
WO2024108424A1 (en) * 2022-11-23 2024-05-30 宁德时代新能源科技股份有限公司 Battery endurance capability determination method and apparatus, and vehicle
CN116572799A (en) * 2023-07-13 2023-08-11 四川轻化工大学 Power battery charge duration prediction method, system and terminal based on deep learning
CN116572799B (en) * 2023-07-13 2023-09-05 四川轻化工大学 Power battery charge duration prediction method, system and terminal based on deep learning
CN117227487A (en) * 2023-10-19 2023-12-15 赛力斯汽车有限公司 Electric vehicle energy consumption monitoring system and device and electric vehicle
CN117556589A (en) * 2024-01-04 2024-02-13 江阴飞阳电子科技有限公司 Intelligent calibration method and system for electric quantity of instrument

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