WO2023216536A1

WO2023216536A1 - Electric vehicle range estimation method, apparatus and system, and storage medium

Info

Publication number: WO2023216536A1
Application number: PCT/CN2022/131658
Authority: WO
Inventors: 刘兴义; 李强
Original assignee: 潍柴动力股份有限公司; 潍坊潍柴动力科技有限责任公司
Priority date: 2022-05-09
Filing date: 2022-11-14
Publication date: 2023-11-16
Also published as: CN114889492A; CN114889492B

Abstract

An electric vehicle range estimation method, comprising: by taking battery state-of-consumed-charge values respectively corresponding to N vehicle driving condition points within current duration as independent variables of a first linear function, and by taking vehicle traveled distance values respectively corresponding to the N vehicle driving condition points as dependent variables of the first linear function, performing linear fitting to obtain a first slope k of the first linear function, and multiplying the first slope k by a battery state of charge under a current driving condition to obtain the current range of an electric vehicle. By acquiring parameters online to perform fitting so as to estimate the range of the electric vehicle, the method raises the accuracy of electric vehicle range estimation while reducing calibration quantities. Further provided are an electric vehicle range estimation apparatus, an electric vehicle range estimation system, and a computer readable storage medium.

Description

Electric vehicle cruising range estimation method, device, system and storage medium

This application requires the priority of a Chinese patent application submitted to the State Intellectual Property Office of China on May 9, 2022, with the application number 202210499949.5 and the invention title "An electric vehicle range estimation method, device, system and storage medium". The entire contents of which are incorporated herein by reference.

Technical field

This application relates to the field of electric vehicles, for example, to a method, device, system and storage medium for estimating the cruising range of an electric vehicle.

Background technique

The cruising range of electric vehicles will change in real time based on factors such as battery state of charge, vehicle load, vehicle speed, road conditions, etc. The traditional cruising range estimation method requires the remaining total energy of the battery and the average power consumption to obtain the cruising range. However, the average power consumption is affected by Battery voltage, vehicle load, and the initial value of the average power consumption have a great impact, resulting in inaccurate estimates of the electric vehicle's cruising range.

Therefore, how to improve the accuracy of estimating the cruising range of electric vehicles is a technical problem that needs to be solved in this field.

Contents of the invention

In view of this, the purpose of this application is to provide an electric vehicle cruising range estimation method, device, system and storage medium, which can improve the accuracy of electric vehicle cruising range estimation and improve user driving experience.

In order to achieve the above purpose, this application has the following technical solutions:

In the first aspect, embodiments of the present application provide a method for estimating the cruising range of an electric vehicle, including:

The consumed battery state-of-charge values corresponding to the N vehicle working condition points of the current duration are used as the independent variables of the first linear function, and the vehicle mileage values corresponding to the N vehicle working condition points are used as the first linear function. Perform linear fitting on the dependent variable of the linear function to obtain the first slope K of the first linear function;

The first slope K is multiplied by the current operating battery state of charge to obtain the current cruising range of the electric vehicle.

In the second aspect, embodiments of the present application provide an electric vehicle cruising range estimation device, including:

The linear fitting unit is used to use the consumed state of charge value of the battery corresponding to the N vehicle operating points of the current duration as the independent variable of the first linear function, and the vehicle mileage corresponding to the N vehicle operating points respectively. The value is used as the dependent variable of the first linear function, and linear fitting is performed to obtain the first slope K of the first linear function;

A calculation unit configured to multiply the first slope K by the current operating battery state of charge to obtain the current cruising range of the electric vehicle.

In a third aspect, embodiments of the present application also provide an electric vehicle cruising range estimation system, including:

Memory, used to store computer programs;

A processor, configured to implement the steps of the above-mentioned electric vehicle cruising range estimation method when executing the computer program.

In a fourth aspect, embodiments of the present application also provide a computer-readable storage medium. A computer program is stored on the computer-readable storage medium. When the computer program is processed and executed, the electric vehicle cruising range estimation as described above is achieved. Method steps.

Compared with the existing technology, the embodiments of the present application have the following advantages:

Embodiments of the present application provide a method, device, system and storage medium for estimating the cruising range of an electric vehicle. The method includes: taking the consumed battery state-of-charge values corresponding to N vehicle operating points of the current duration as the first time The independent variable of the function, the vehicle mileage value corresponding to the N vehicle operating condition points, is used as the dependent variable of the first linear function. Linear fitting is performed to obtain the first slope K of the first linear function. The first slope K is Multiply by the current operating battery state of charge to get the current electric vehicle cruising range. Therefore, the electric vehicle cruising range is estimated by online collection of parameters and fitting, which reduces the calibration amount and improves the accuracy of the electric vehicle cruising range estimation.

Description of the drawings

In order to more clearly explain the embodiments of the present application or the technical solutions in the prior art, the drawings needed to be used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings in the following description are: For some embodiments of the present application, those of ordinary skill in the art can also obtain other drawings based on these drawings without exerting creative efforts.

Figure 1 shows a flow chart of an electric vehicle cruising range estimation method provided by an embodiment of the present application;

Figure 2 shows a functional relationship diagram between a battery's consumed state of charge value and the vehicle's mileage value provided by an embodiment of the present application;

Figure 3 shows a schematic diagram of an electric vehicle cruising range estimation device provided by an embodiment of the present application.

Detailed ways

In order to make the above objects, features and advantages of the present application more obvious and easy to understand, the specific implementation modes of the present application will be described in detail below with reference to the accompanying drawings.

As described in the background art, the cruising range of an electric vehicle will change in real time according to factors such as battery state of charge, vehicle load, vehicle speed, road conditions, etc. The traditional cruising range estimation method requires the total remaining energy of the battery and the average power consumption to obtain the cruising range. Mileage, however, the average power consumption is greatly affected by battery voltage, vehicle load, and the initial value of the average power consumption, resulting in inaccurate estimates of the cruising range of electric vehicles.

In order to solve the above technical problems, embodiments of the present application provide a method, device, system and storage medium for estimating the cruising range of an electric vehicle. The method includes: calculating the consumed state of charge of the battery corresponding to N vehicle operating points of the current duration. The value is used as the independent variable of the first linear function, and the vehicle mileage value corresponding to the N vehicle operating condition points is used as the dependent variable of the first linear function. Linear fitting is performed to obtain the first slope K of the first linear function. , multiply the first slope K by the current battery state of charge to obtain the current electric vehicle cruising range. Therefore, the electric vehicle cruising range is estimated by online collection of parameters and fitting, which reduces the calibration amount and improves the accuracy of the electric vehicle cruising range estimation.

Example methods

Refer to Figure 1, which is a flow chart of an electric vehicle driving range estimation method provided by an embodiment of the present application, including:

S101: Use the battery's consumed state of charge values corresponding to the N vehicle operating condition points of the current duration as the independent variables of the first linear function, and the vehicle mileage values corresponding to the N vehicle operating condition points as the first linear function. - the dependent variable of a linear function, perform linear fitting to obtain the first slope K of the first linear function.

In the embodiment of this application, when the electric vehicle is driving, the battery state of charge can be obtained in real time from the battery management system (BMS), where the battery state of charge is the percentage of remaining battery power, ranging from 0% to 100%, 0% means the battery is empty, and 100% means the battery is fully charged.

The battery's consumed state of charge value = 100% - the battery's state of charge. Therefore, the battery state of charge values corresponding to the N working condition points of the current duration can be collected, and the N vehicle operating conditions of the current duration can be calculated through the battery state of charge value. The battery’s consumed state-of-charge value corresponding to the condition point respectively.

In the same way, the vehicle mileage values corresponding to N vehicle operating points can be obtained from the hybrid vehicle controller (HCU, Hybrid Control Unit).

Referring to Figure 2, a functional relationship diagram between the battery's consumed state of charge value and the vehicle mileage value provided by the embodiment of the present application is shown. Since the electric vehicle is affected by the vehicle weight, vehicle speed, Influenced by road conditions and in-vehicle load usage, the functional relationship between the vehicle's real-time mileage value and the real-time state of charge is a real-time changing curve function D=f(x), but considering that the above influencing factors will not change much in the short term, therefore , the embodiment of this application sets the functional relationship between the vehicle's real-time mileage value and the real-time state of charge within the current time period to be the first linear functional relationship D=KX+Db.

Among them, D is the vehicle mileage value corresponding to the current vehicle operating point, Db is the intercept value of the first linear function, the first slope K of the first linear function, and Consume the state of charge value.

That is, in the embodiment of this application, the consumed battery state-of-charge values corresponding to the N vehicle operating points of the current duration are used as the independent variables of the first linear function, and the vehicle mileage values corresponding to the N vehicle operating points are As the dependent variable of the first linear function, linear fitting is performed to obtain the first slope K of the first linear function.

S102: Multiply the first slope K by the current operating battery state of charge to obtain the current cruising range of the electric vehicle.

In the embodiment of this application, Dleft=Dmax-D (1);

Dmax＝K*100%+Db (2);

D=KX+Db (3);

X＝100%-SOC (4);

Among them, Dleft is the current mileage value of electric vehicles, Dmax is the maximum mileage value of electric vehicles, D is the vehicle mileage value corresponding to the current vehicle operating point, Db is the intercept value of the first linear function, and X is the current vehicle The battery's consumed state of charge value corresponding to the working condition point is the battery state of charge at the current vehicle working condition point.

From the above four formulas, we can get Dleft=Dmax-D=K*100%+Db-(KX+Db)

=K*100%+Db-K(100%-SOC)-Db=K*SOC;

That is, the first slope K multiplied by the current working condition battery state of charge can be used to obtain the current electric vehicle cruising range, so as to estimate the electric vehicle cruising range through online collection of parameters and fitting, which reduces the calibration amount and improves the electric vehicle cruising range. Accuracy of car range estimates.

In one possible implementation, the current cruising range of the electric vehicle can be displayed on the vehicle dashboard in real time to improve the driver's driving experience.

In one possible implementation, when it is detected that the entire vehicle is powered off, the currently used first slope K value is stored in the vehicle memory while the vehicle is driving, so that it can be initialized and recalled in time next time the vehicle is powered on. Optionally, the vehicle memory can be EEPROM (Electrically Erasable Programmable read only memory).

In a possible implementation, since the vehicle's operating conditions, load usage, etc. are changing in real time, the value of the first slope K may not be accurate enough, so the accuracy of the electric vehicle range estimation may be reduced, therefore:

After the vehicle travels for the first period of time (for example, one minute), the consumed battery state of charge values corresponding to the N vehicle operating conditions points of the first period are used as the independent variables of the second linear function, and the N vehicle operating condition points respectively The corresponding vehicle mileage value is used as the dependent variable of the second linear function, and linear fitting is performed to obtain the second slope of the second linear function, that is, multiple battery consumed state-of-charge values and vehicle mileage values are re-collected.

When the deviation between the second slope and the first slope is greater than the preset threshold, it means that the accuracy of the first slope K is already low. At this time, the first slope is replaced with the second slope, thereby updating the first slope K and ensuring that the electric motor Accuracy of car range estimates.

When the deviation between the second slope and the first slope is less than or equal to the preset threshold, it means that the accuracy of the first slope K is relatively high, and the value of the first slope K can be kept unchanged to save resources and avoid the waste of frequent updates.

At the same time, in a possible implementation, a larger PT1 (First order low pass filter) filter can be used to slowly filter the transition during the switching process from the first slope to the second slope to prevent the cruising range. produce mutations.

The embodiment of the present application provides a method for estimating the cruising range of an electric vehicle. The method includes: using the consumed state-of-charge values of the battery corresponding to N vehicle operating points of the current duration as the independent variables of the first linear function, and N The vehicle mileage value corresponding to the vehicle operating point is used as the dependent variable of the first linear function. Linear fitting is performed to obtain the first slope K of the first linear function. The first slope K is multiplied by the current operating condition battery charge. battery status to obtain the current electric vehicle cruising range. Therefore, the electric vehicle cruising range is estimated by online collection of parameters and fitting, which reduces the calibration amount and improves the accuracy of the electric vehicle cruising range estimation.

Exemplary device

Referring to Figure 3, a schematic diagram of an electric vehicle driving range estimation device provided by an embodiment of the present application includes:

The linear fitting unit 301 is used to use the consumed state-of-charge values of the battery corresponding to the N vehicle operating condition points of the current duration as the independent variables of the first linear function. The vehicle driving conditions corresponding to the N vehicle operating condition points respectively The mileage value is used as the dependent variable of the first linear function, and linear fitting is performed to obtain the first slope K of the first linear function;

The calculation unit 302 is used to multiply the first slope K by the current operating battery state of charge to obtain the current cruising range of the electric vehicle.

In a possible implementation, the calculation unit specifically calculates the current electric vehicle cruising range through the following formula:

Dleft＝Dmax-D＝K*100%+Db-(KX+Db)

=K*100%+Db-K(100%-SOC)-Db=K*SOC;

Among them, Dleft is the current mileage value of the electric vehicle, Dmax is the maximum mileage value of the electric vehicle, D is the vehicle mileage value corresponding to the current vehicle operating point, and Db is the intercept of the first linear function. value, X is the consumed state of charge value of the battery corresponding to the current vehicle operating point, and SOC is the battery state of charge at the current vehicle operating point.

In a possible implementation, the device further includes:

A storage unit configured to store the first slope K in the vehicle memory.

In a possible implementation, the device further includes:

The second slope unit is used to use the consumed state-of-charge values of the battery corresponding to the N vehicle operating points of the first period as the independent variable of the second linear function after the vehicle has been driven for a first period of time, and the N The vehicle mileage value corresponding to each vehicle operating condition point is used as the dependent variable of the second linear function, and linear fitting is performed to obtain the second slope of the second linear function;

A replacement unit configured to replace the first slope with the second slope when the deviation between the second slope and the first slope is greater than a preset threshold.

The embodiment of the present application provides a device for estimating the cruising range of an electric vehicle. The method of using the device includes: using the consumed battery state-of-charge values corresponding to N vehicle operating points of the current duration as the independent variable of the first linear function. , the vehicle mileage value corresponding to the N vehicle operating condition points is used as the dependent variable of the first linear function, linear fitting is performed to obtain the first slope K of the first linear function, and the first slope K is multiplied by the current working condition The state of charge of the battery is calculated to obtain the current cruising range of the electric vehicle. Therefore, the electric vehicle cruising range is estimated by online collection of parameters and fitting, which reduces the calibration amount and improves the accuracy of the electric vehicle cruising range estimation.

Based on the above embodiments, embodiments of the present application also provide an electric vehicle driving range estimation system, including:

Memory, used to store computer programs;

A processor, configured to implement the steps of the above electric vehicle driving range estimation method when executing the computer program.

On the basis of the above embodiments, embodiments of the present application also provide a computer-readable storage medium. A computer program is stored on the computer-readable storage medium. When the computer program is processed and executed, the above-mentioned electric vehicle continuation is realized. Steps of driving mileage estimation method.

The computer-readable storage medium can include: U disk, mobile hard disk, read-only memory (Read-Only Memory, ROM), random access memory (Random Access Memory, RAM), magnetic disk or optical disk, etc., which can store program code medium.

Claims

A method for estimating the cruising range of an electric vehicle, which is characterized by including:

The consumed battery state-of-charge values corresponding to the N vehicle working condition points of the current duration are used as the independent variables of the first linear function, and the vehicle mileage values corresponding to the N vehicle working condition points are used as the first linear function. Perform linear fitting on the dependent variable of the linear function to obtain the first slope K of the first linear function;

The first slope K is multiplied by the current operating battery state of charge to obtain the current cruising range of the electric vehicle.
The method of claim 1, wherein multiplying the first slope K by the battery state of charge at the current vehicle operating point to obtain the current electric vehicle cruising range includes:

Dleft＝Dmax-D＝K*100%+Db－(KX+Db)

=K*100%+Db-K(100%-SOC)-Db=K*SOC;

Among them, Dleft is the current mileage value of the electric vehicle, Dmax is the maximum mileage value of the electric vehicle, D is the vehicle mileage value corresponding to the current vehicle operating point, and Db is the intercept of the first linear function. value, X is the consumed state of charge value of the battery corresponding to the current vehicle operating point, and SOC is the battery state of charge at the current vehicle operating point.
The method according to claim 1, further comprising:

The first slope K is stored in vehicle memory.
The method according to claim 3, further comprising:

After the vehicle travels for a first period of time, the consumed battery state of charge values corresponding to the N vehicle operating conditions points of the first period are used as the independent variables of the second linear function. The N vehicle operating condition points respectively correspond to The vehicle mileage value is used as the dependent variable of the second linear function, and linear fitting is performed to obtain the second slope of the second linear function;

When the deviation between the second slope and the first slope is greater than a preset threshold, the first slope is replaced with the second slope.
An electric vehicle cruising range estimating device, which is characterized by including:

The linear fitting unit is used to use the consumed state of charge value of the battery corresponding to the N vehicle operating points of the current duration as the independent variable of the first linear function, and the vehicle mileage corresponding to the N vehicle operating points respectively. The value is used as the dependent variable of the first linear function, and linear fitting is performed to obtain the first slope K of the first linear function;

A calculation unit configured to multiply the first slope K by the current operating battery state of charge to obtain the current cruising range of the electric vehicle.
The device according to claim 5, characterized in that the calculation unit specifically calculates the current electric vehicle cruising range through the following formula:

Dleft＝Dmax-D＝K*100%+Db－(KX+Db)

=K*100%+Db-K(100%-SOC)-Db=K*SOC;

Among them, Dleft is the current mileage value of the electric vehicle, Dmax is the maximum mileage value of the electric vehicle, D is the vehicle mileage value corresponding to the current vehicle operating point, and Db is the intercept of the first linear function. value, X is the consumed state of charge value of the battery corresponding to the current vehicle operating point, and SOC is the battery state of charge at the current vehicle operating point.
The device of claim 5, further comprising:

A storage unit configured to store the first slope K in the vehicle memory.
The device of claim 7, further comprising:

The second slope unit is used to use the consumed state-of-charge values of the battery corresponding to the N vehicle operating points of the first period as the independent variable of the second linear function after the vehicle has been driven for a first period of time, and the N The vehicle mileage value corresponding to each vehicle operating condition point is used as the dependent variable of the second linear function, and linear fitting is performed to obtain the second slope of the second linear function;

A replacement unit configured to replace the first slope with the second slope when the deviation between the second slope and the first slope is greater than a preset threshold.
An electric vehicle cruising range estimation system, which is characterized by including:

Memory, used to store computer programs;

A processor, configured to implement the steps of the electric vehicle cruising range estimation method according to any one of claims 1-4 when executing the computer program.
A computer-readable storage medium, characterized in that a computer program is stored on the computer-readable storage medium, and when the computer program is processed and executed, the electric vehicle cruising range estimation as described in any one of claims 1-4 is achieved. Method steps.