CN113415209A - New energy automobile driving endurance mileage prediction method, system, medium and equipment - Google Patents
New energy automobile driving endurance mileage prediction method, system, medium and equipment Download PDFInfo
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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]
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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
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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
- B60L2240/00—Control parameters of input or output; Target parameters
- B60L2240/10—Vehicle control parameters
- B60L2240/12—Speed
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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
- 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
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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
- B60L2260/00—Operating Modes
- B60L2260/40—Control modes
- B60L2260/50—Control modes by future state prediction
- B60L2260/54—Energy consumption estimation
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- 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
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- 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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Abstract
The invention belongs to the field of new energy automobiles, and provides a method, a system, a medium and equipment for predicting driving endurance mileage of a new energy automobile. The method comprises the steps of calculating preset mileage values of the whole vehicle in different time units according to the real-time speed of the vehicle, and obtaining a mileage minimum unit of the whole vehicle power consumption through recursive median average filtering; calculating the electric quantity value consumed in a preset time unit according to the instantaneous current value uploaded by the battery management system in real time, and then carrying out recursive median average filtering to obtain a minimum electric quantity unit consumed by the whole vehicle; synchronizing time axes of the mileage minimum unit and the electric quantity minimum unit, respectively accumulating the mileage minimum unit and the electric quantity minimum unit of the whole vehicle power consumption in the vehicle running process, and triggering the locking of accumulated electric quantity data when the running mileage is accumulated to 1 km; and updating the vehicle endurance mileage based on the remaining capacity and the locked capacity data each time when the capacity data is locked in the running process of the vehicle.
Description
Technical Field
The invention belongs to the field of new energy automobiles, and particularly relates to a method, a system, a medium and equipment for predicting driving endurance mileage of a new energy automobile.
Background
The statements in this section merely provide background information related to the present disclosure and may not necessarily constitute prior art.
Due to the fact that the geographic position of the new energy automobile charging pile is uneven, the coverage area of a gas station cannot be far reached. Therefore, the cruising ability of the new energy automobile is accurately known, the charging plan is reasonably planned for the new energy automobile, and the charging plan is an important basis for guaranteeing the stable operation of the new energy automobile.
The mileage of the existing new energy automobile is estimated according to the working condition of the automobile in the near phase, and the kilometer number calculated by the automobile data recorder is an estimated value, while for the new energy automobile, the working condition of the automobile in the near phase is not completely the same, the electricity consumption of the hundred kilometers for calculating the remaining mileage is similar to the oil consumption of the hundred kilometers of the fuel engine, and the electricity consumption and the oil consumption are both theoretical values, and the theoretical values can change along with the use condition. The inventor finds that for a new energy automobile, one hundred kilometers of power consumption also has one instant power consumption, and the instant power consumption fluctuates up and down, so that the up-and-down fluctuation of the power consumption in use can also influence the finally obtained one hundred kilometers of power consumption.
Disclosure of Invention
In order to solve the technical problems in the background art, the invention provides a method, a system, a medium and equipment for predicting the driving endurance mileage of a new energy automobile, wherein the driving endurance mileage of the new energy automobile is updated based on the remaining electric quantity and the locked electric quantity data each time, and the accuracy of the driving endurance mileage prediction result of the new energy automobile can be improved.
In order to achieve the purpose, the invention adopts the following technical scheme:
the invention provides a method for predicting driving endurance mileage of a new energy automobile, which comprises the following steps:
calculating the running mileage numerical values of the whole vehicle in preset different time units according to the real-time running speed of the vehicle, and performing recursive median average filtering to obtain a mileage minimum unit with power consumption of the whole vehicle;
calculating the electric quantity value consumed in a preset time unit according to the instantaneous current value uploaded by the battery management system in real time, and then carrying out recursive median average filtering to obtain a minimum electric quantity unit consumed by the whole vehicle;
synchronizing time axes of the mileage minimum unit and the electric quantity minimum unit, respectively accumulating the mileage minimum unit and the electric quantity minimum unit of the whole vehicle power consumption in the vehicle running process, and triggering the locking of accumulated electric quantity data when the running mileage is accumulated to 1 km;
and updating the vehicle endurance mileage based on the remaining capacity and the locked capacity data each time when the capacity data is locked in the running process of the vehicle.
The second aspect of the present invention provides a driving mileage predicting system for a new energy vehicle, including:
the mileage minimum unit calculating module is used for calculating preset mileage values of the whole vehicle in different time units according to the real-time speed of the vehicle, and obtaining a mileage minimum unit of the whole vehicle power consumption through recursion median average filtering processing;
the minimum electric quantity unit calculating module is used for calculating an electric quantity value consumed in a preset time unit according to an instantaneous current value uploaded by the battery management system in real time, and obtaining a minimum electric quantity unit consumed by the whole vehicle through recursive median average filtering;
the minimum unit time synchronization module is used for synchronizing time axes of the mileage minimum unit and the electric quantity minimum unit, respectively accumulating the mileage minimum unit and the electric quantity minimum unit of the whole vehicle power consumption in the vehicle running process, and triggering the locking of the accumulated electric quantity data when the running mileage is accumulated to 1 km;
and the driving range updating module is used for updating the driving range of the vehicle based on the residual electric quantity and the locked electric quantity data each time when the electric quantity data is locked in the driving process of the vehicle.
A third aspect of the present invention provides a computer-readable storage medium, on which a computer program is stored, which when executed by a processor, implements the steps in the method for predicting driving mileage of a new energy vehicle as described above.
A fourth aspect of the present invention provides a computer device, including a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the computer program to implement the steps in the method for predicting driving endurance mileage of a new energy vehicle as described above.
Compared with the prior art, the invention has the beneficial effects that:
(1) the method carries out time synchronization on the synchronous mileage minimum unit and the electric quantity minimum unit, respectively accumulates the mileage minimum unit and the electric quantity minimum unit of the whole vehicle power consumption in the vehicle running process, triggers the locking of accumulated electric quantity data when the running mileage is accumulated to 1km, updates the vehicle driving mileage based on the residual electric quantity and the locked electric quantity data each time when the electric quantity data is locked each time in the vehicle running process, solves the problem of insufficient calculation precision of the traditional power consumption, improves the accuracy of the driving mileage calculation of the new energy vehicle, improves the adaptability of the power consumption calculation of the new energy vehicle, and reflects the driving intention of a driver by the calculated power consumption;
(2) according to the invention, the mileage minimum unit of the whole vehicle power consumption is obtained according to the real-time vehicle speed and the recursion median average filtering of the vehicle running, and the electric quantity minimum unit of the whole vehicle power consumption is obtained according to the instantaneous current value and the recursion median average filtering, so that the power consumption calculation sensitivity of the new energy vehicle is improved, and the calculated power consumption can reflect the actual road condition characteristics.
Advantages of additional aspects of the invention will be set forth in part in the description which follows, and in part will be obvious from the description, or may be learned by practice of the invention.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of this specification, are included to provide a further understanding of the invention, and are incorporated in and constitute a part of this specification, illustrate exemplary embodiments of the invention and together with the description serve to explain the invention and not to limit the invention.
FIG. 1 is a flowchart of a driving endurance mileage prediction method for a new energy vehicle according to an embodiment of the present invention;
fig. 2 is a schematic structural diagram of a driving endurance mileage prediction system of a new energy vehicle according to an embodiment of the present invention.
Detailed Description
The invention is further described with reference to the following figures and examples.
It is to be understood that the following detailed description is exemplary and is intended to provide further explanation of the invention as claimed. Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention belongs.
It is noted that the terminology used herein is for the purpose of describing particular embodiments only and is not intended to be limiting of exemplary embodiments according to the invention. As used herein, the singular forms "a", "an" and "the" are intended to include the plural forms as well, and it should be understood that when the terms "comprises" and/or "comprising" are used in this specification, they specify the presence of stated features, steps, operations, devices, components, and/or combinations thereof, unless the context clearly indicates otherwise.
Example one
Referring to fig. 1, the embodiment provides a driving endurance mileage prediction method for a new energy vehicle, which specifically includes the following steps:
step S101: and calculating the running mileage numerical values of the whole vehicle in preset different time units according to the real-time running speed of the vehicle, and performing recursive median average filtering to obtain the mileage minimum unit with the power consumption of the whole vehicle.
In a specific implementation, the number of time units is at least three different time periods.
For example: the time units may be 10ms, 100ms, 1s periods, and so on.
It should be noted that, in other embodiments, a person skilled in the art may specifically set the period of the time unit according to actual situations.
In specific implementation, the process of processing the driving mileage value of the whole vehicle by recursion median average filtering comprises the following steps:
step S1011: forming a queue by the mileage values of the time units, putting the mileage value of the latest time unit into the tail of the queue each time, and removing the data of the original head of the queue;
step S1012: before adding a new mileage value each time, the mileage values in the queue are arranged from small to large, and the intermediate value is taken as the effective value of the mileage at this time.
According to the embodiment, the mileage minimum unit of the whole vehicle power consumption is obtained according to the real-time vehicle speed and the recursion median average filtering of the vehicle running, so that the sensitivity of the new energy vehicle power consumption calculation can be improved, and the calculated power consumption can reflect the characteristics of the actual road condition.
Step S102: and calculating the electric quantity value consumed in a preset time unit according to the instantaneous current value uploaded by the battery management system in real time, and then carrying out recursive median average filtering to obtain the electric quantity minimum unit consumed by the whole vehicle.
In specific implementation, the process of recursion of the median average filtering processing electric quantity value is as follows:
step S1021: forming a queue by the electric quantity values of the time units, putting the electric quantity value of the latest time unit into the tail of the queue each time, and removing the data of the original head of the queue;
step S1022: before adding a new electric quantity value each time, arranging the electric quantity values in the queue from small to large, and taking an intermediate value as an effective value of the electric quantity at this time.
According to the embodiment, the electric quantity minimum unit of the power consumption of the whole vehicle is obtained according to the average filtering of the instantaneous current value and the recursion median, so that the sensitivity of the power consumption calculation of the new energy vehicle can be improved, and the calculated power consumption can reflect the characteristics of the actual road condition.
Step S103: and synchronizing the time axes of the mileage minimum unit and the electric quantity minimum unit, respectively accumulating the mileage minimum unit and the electric quantity minimum unit of the whole vehicle power consumption in the vehicle running process, and triggering the locking of the accumulated electric quantity data when the running mileage is accumulated to 1 km. The locked accumulated electric quantity data, namely the electric quantity consumption of the whole vehicle per 1km, is represented by kwh/km.
In specific implementation, the locked electric quantity data is stored in the buffer for caching, so that the data calling speed is increased, and the efficiency of the predicted value of the vehicle endurance mileage is improved.
The calculation unit of the power consumption value calculated by the step is shortened from kwh/100km to kwh/km, and the calculation precision of the power consumption is improved by 100 times; the sensitivity of power consumption calculation to road conditions is improved by 100 times.
Step S104: and updating the vehicle endurance mileage based on the remaining capacity and the locked capacity data each time when the capacity data is locked in the running process of the vehicle.
Specifically, in the process of updating the vehicle endurance mileage, the remaining power and the locked power data at each time are subjected to quotient calculation to obtain a predicted value of the vehicle endurance mileage.
And the residual electric quantity is uploaded by a battery management system in real time.
The embodiment provides a new energy automobile driving endurance mileage prediction method capable of improving the calculation precision of the power consumption of one hundred kilometers and improving the calculation sensitivity of the power consumption, aiming at the problem of the power consumption of one hundred kilometers of the new energy automobile, so that the calculated value of the power consumption of the whole automobile can be dynamically corrected and timely corrected according to the driving desire of a driver and the actual driving working condition, and the calculation of the endurance mileage of the new energy automobile can be closer to the actual value along with the improvement of the calculation precision of the power consumption.
Example two
Referring to fig. 2, the embodiment provides a driving endurance mileage prediction system for a new energy vehicle, which specifically includes the following modules:
the mileage minimum unit calculating module 11 is used for calculating preset mileage values of the whole vehicle running in different time units according to the real-time speed of the vehicle running, and obtaining a mileage minimum unit of the whole vehicle power consumption through recursive median average filtering processing;
the electric quantity minimum unit calculation module 12 is used for calculating an electric quantity value consumed in a preset time unit according to an instantaneous current value uploaded by the battery management system in real time, and obtaining an electric quantity minimum unit consumed by the whole vehicle through recursive median average filtering;
the minimum unit time synchronization module 13 is used for synchronizing time axes of the mileage minimum unit and the electric quantity minimum unit, respectively accumulating the mileage minimum unit and the electric quantity minimum unit of the whole vehicle power consumption in the vehicle running process, and triggering the locking of the accumulated electric quantity data when the running mileage is accumulated to 1 km;
and the driving range updating module 14 is used for updating the driving range of the vehicle based on the residual electric quantity and the locked electric quantity data each time when the electric quantity data is locked in the driving process of the vehicle.
It should be noted that, each module in the driving mileage prediction system of the new energy vehicle of the present embodiment corresponds to each step in the first embodiment one by one, and the specific implementation process is the same, which will not be described herein again.
EXAMPLE III
The embodiment provides a computer-readable storage medium, on which a computer program is stored, and the program, when executed by a processor, implements the steps in the method for predicting the driving mileage of a new energy vehicle as described above.
Example four
The embodiment provides a computer device, which comprises a memory, a processor and a computer program stored in the memory and capable of running on the processor, wherein the processor executes the computer program to implement the steps in the method for predicting the driving mileage of a new energy vehicle as described above.
As will be appreciated by one skilled in the art, embodiments of the present invention may be provided as a method, system, or computer program product. Accordingly, the present invention may take the form of a hardware embodiment, a software embodiment, or an embodiment combining software and hardware aspects. Furthermore, the present invention may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, optical storage, and the like) having computer-usable program code embodied therein.
The present invention is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the invention. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
It will be understood by those skilled in the art that all or part of the processes of the methods of the embodiments described above can be implemented by a computer program, which can be stored in a computer-readable storage medium, and when executed, can include the processes of the embodiments of the methods described above. The storage medium may be a magnetic disk, an optical disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), or the like.
The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention, and various modifications and changes may be made by those skilled in the art. Any modification, equivalent replacement, or improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention.
Claims (10)
1. The method for predicting the driving endurance mileage of the new energy automobile is characterized by comprising the following steps of:
calculating the running mileage numerical values of the whole vehicle in preset different time units according to the real-time running speed of the vehicle, and performing recursive median average filtering to obtain a mileage minimum unit with power consumption of the whole vehicle;
calculating the electric quantity value consumed in a preset time unit according to the instantaneous current value uploaded by the battery management system in real time, and then carrying out recursive median average filtering to obtain a minimum electric quantity unit consumed by the whole vehicle;
synchronizing time axes of the mileage minimum unit and the electric quantity minimum unit, respectively accumulating the mileage minimum unit and the electric quantity minimum unit of the whole vehicle power consumption in the vehicle running process, and triggering the locking of accumulated electric quantity data when the running mileage is accumulated to 1 km;
and updating the vehicle endurance mileage based on the remaining capacity and the locked capacity data each time when the capacity data is locked in the running process of the vehicle.
2. The method for predicting the driving mileage of a new energy vehicle according to claim 1, wherein the number of the time units is at least three different time periods.
3. The method for predicting the driving endurance mileage of the new energy automobile according to claim 1, wherein the process of carrying out recursive median average filtering on the mileage value of the whole automobile comprises the following steps:
forming a queue by the mileage values of the time units, putting the mileage value of the latest time unit into the tail of the queue each time, and removing the data of the original head of the queue;
before adding a new mileage value each time, the mileage values in the queue are arranged from small to large, and the intermediate value is taken as the effective value of the mileage at this time.
4. The method for predicting the driving endurance mileage of the new energy automobile according to claim 1, wherein the process of recursive median average filtering to process the electric quantity value is as follows:
forming a queue by the electric quantity values of the time units, putting the electric quantity value of the latest time unit into the tail of the queue each time, and removing the data of the original head of the queue;
before adding a new electric quantity value each time, arranging the electric quantity values in the queue from small to large, and taking an intermediate value as an effective value of the electric quantity at this time.
5. The method for predicting the driving endurance mileage of a new energy vehicle according to claim 1, wherein in the process of updating the driving endurance mileage of the vehicle, the remaining power is subjected to a quotient with the locked power data each time, so as to obtain the predicted value of the driving endurance mileage of the vehicle.
6. The method for predicting the driving mileage of a new energy vehicle according to claim 1, wherein the remaining amount of electricity is obtained by uploading in real time by a battery management system.
7. The method for predicting the driving mileage of a new energy vehicle as set forth in claim 1, wherein the locked electric quantity data is stored in a buffer for buffering.
8. The utility model provides a new energy automobile driving continuation of journey mileage prediction system which characterized in that includes:
the mileage minimum unit calculating module is used for calculating preset mileage values of the whole vehicle in different time units according to the real-time speed of the vehicle, and obtaining a mileage minimum unit of the whole vehicle power consumption through recursion median average filtering processing;
the minimum electric quantity unit calculating module is used for calculating an electric quantity value consumed in a preset time unit according to an instantaneous current value uploaded by the battery management system in real time, and obtaining a minimum electric quantity unit consumed by the whole vehicle through recursive median average filtering;
the minimum unit time synchronization module is used for synchronizing time axes of the mileage minimum unit and the electric quantity minimum unit, respectively accumulating the mileage minimum unit and the electric quantity minimum unit of the whole vehicle power consumption in the vehicle running process, and triggering the locking of the accumulated electric quantity data when the running mileage is accumulated to 1 km;
and the driving range updating module is used for updating the driving range of the vehicle based on the residual electric quantity and the locked electric quantity data each time when the electric quantity data is locked in the driving process of the vehicle.
9. A computer-readable storage medium on which a computer program is stored, wherein the program, when executed by a processor, implements the steps in the method for predicting the driving mileage of a new energy vehicle according to any one of claims 1 to 7.
10. A computer device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, wherein the processor implements the steps of the method for predicting driving mileage of a new energy vehicle as claimed in any one of claims 1 to 7 when executing the program.
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| CN114005195A (en) * | 2021-11-17 | 2022-02-01 | 中国第一汽车股份有限公司 | Driving range display method and device, vehicle and storage medium |
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