Method and device for evaluating braking energy recovery function of electric vehicle

By obtaining vehicle data of electric vehicles on the test section and performing multi-dimensional evaluation of braking energy recovery functions, the problem of inaccurate braking energy recovery evaluation of electric vehicles is solved, the accuracy of evaluation results is improved, and the range optimization is supported.

CN120422666APending Publication Date: 2025-08-05FAW JIEFANG AUTOMOTIVE CO
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Patent Information

Application Number
CN202510700993.1
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-05-28
Publication Date
2025-08-05

AI Technical Summary

Technical Problem

The prior art is difficult to accurately evaluate the braking energy recovery function of electric vehicles, which affects the optimization of range.

Method used

By obtaining the vehicle data of the target electric vehicle on the test section, determining the total recovered braking energy, the average energy recovery power in the partition interval of the brake pedal opening and single braking index data, and conducting multi-dimensional evaluation.

Benefits of technology

The accuracy of braking energy recovery function evaluation is improved, and data support is provided for subsequent optimization of braking energy recovery strategies for electric vehicles.

✦ Generated by Eureka AI based on patent content.

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Abstract

The invention discloses an electric vehicle braking energy recovery function evaluation method and device, and belongs to the technical field of vehicle performance evaluation, and the method comprises the steps: determining at least one target electric vehicle, and obtaining the target vehicle data of each target electric vehicle in a target test road section; according to the target vehicle data, total recovery braking energy of the target electric vehicle on the target test road section is determined, the average braking energy recovery power of the target electric vehicle on each brake pedal opening division interval is determined, and single-time braking index data of each time of braking of the target electric vehicle on the target test road section is determined; according to the total recovery braking energy of each target electric vehicle on the target test road section, the average braking energy recovery power of each target electric vehicle on each brake pedal opening division interval and the single-time braking index data of each braking of each target electric vehicle on the target test road section, the braking energy recovery power of each target electric vehicle on each brake pedal opening division interval is calculated; and evaluating the braking energy recovery function of each target electric vehicle.
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Description

Technical Field

[0001] The present invention relates to the technical field of vehicle performance evaluation, and in particular to a method and device for evaluating the braking energy recovery function of an electric vehicle. Background Art

[0002] Currently, the driving range of electric vehicles is determined not only by the battery capacity but also by their braking energy recovery capabilities. The more robust the braking energy recovery, the longer the range and the less energy lost during driving.

[0003] Therefore, how to more accurately evaluate the braking energy recovery function of electric vehicles is crucial for the subsequent optimization of the braking energy recovery strategy of electric vehicles. Summary of the Invention

[0004] The present invention provides a method and device for evaluating the braking energy recovery function of an electric vehicle, so as to improve the accuracy of the evaluation result of the braking energy recovery function of the electric vehicle.

[0005] According to one aspect of the present invention, a method for evaluating the braking energy recovery function of an electric vehicle is provided, the method comprising:

[0006] Determining at least one target electric vehicle to be evaluated, and obtaining target vehicle data of each target electric vehicle on a target test section;

[0007] Based on the target vehicle data, determine the total regenerative braking energy of the target electric vehicle on the target test section, determine the average regenerative braking power of the target electric vehicle in each brake pedal opening interval, and determine the single braking index data of each braking of the target electric vehicle on the target test section;

[0008] The braking energy recovery function of each target electric vehicle is evaluated based on the total recovered braking energy of each target electric vehicle on the target test section, the average braking energy recovery power of each target electric vehicle in each brake pedal opening interval, and the single braking index data of each target electric vehicle for each braking on the target test section.

[0009] According to another aspect of the present invention, a device for evaluating the braking energy recovery function of an electric vehicle is provided, the device comprising:

[0010] a target vehicle data acquisition module, configured to determine at least one target electric vehicle to be evaluated and acquire target vehicle data of each target electric vehicle on a target test section;

[0011] an evaluation index data determination module, configured to determine, based on the target vehicle data, the total regenerative braking energy of the target electric vehicle on the target test section, determine the average regenerative braking power of the target electric vehicle in each brake pedal opening interval, and determine single braking index data for each braking of the target electric vehicle on the target test section;

[0012] The braking energy recovery function evaluation module is used to evaluate the braking energy recovery function of each target electric vehicle based on the total recovered braking energy of each target electric vehicle on the target test section, the average braking energy recovery power of each target electric vehicle in each brake pedal opening interval, and the single braking index data of each target electric vehicle for each braking on the target test section.

[0013] According to another aspect of the present invention, an electronic device is provided, comprising:

[0014] at least one processor;

[0015] and a memory communicatively connected to at least one processor; wherein,

[0016] The memory stores a computer program that can be executed by at least one processor. The computer program is executed by the at least one processor so that the at least one processor can execute the electric vehicle braking energy recovery function evaluation method of any embodiment of the present invention.

[0017] According to another aspect of the present invention, a computer-readable storage medium is provided, wherein the computer-readable storage medium stores computer instructions, which are used to enable a processor to implement the electric vehicle braking energy recovery function evaluation method of any embodiment of the present invention when executed.

[0018] According to another aspect of the present invention, a computer program product is provided, comprising a computer program. When the computer program is executed by a processor, the method for evaluating the braking energy recovery function of an electric vehicle according to any embodiment of the present invention is implemented.

[0019] The technical solution of the embodiment of the present invention is to determine at least one target electric vehicle to be evaluated and obtain target vehicle data of each target electric vehicle on the target test section; determine the total recovered braking energy of the target electric vehicle on the target test section according to the target vehicle data, determine the average braking energy recovery power of the target electric vehicle in each brake pedal opening interval, and determine the single braking index data of each braking of the target electric vehicle on the target test section; evaluate the braking energy recovery function of each target electric vehicle according to the total recovered braking energy of each target electric vehicle on the target test section, the average braking energy recovery power of each target electric vehicle in each brake pedal opening interval, and the single braking index data of each target electric vehicle on the target test section. The above technical solution analyzes the target vehicle data of the target electric vehicle on the actual road section, and evaluates the braking energy recovery function of the target electric vehicle from multiple dimensions, such as the total recovered braking energy of the target electric vehicle on the target test section, the average braking energy recovery power of the target electric vehicle in each brake pedal opening interval, and the single braking index data of each braking of the target electric vehicle on the target test section. In a manner that is closer to the actual usage scenarios of real users, the target vehicle data required for evaluating the braking energy recovery function of the target electric vehicle is obtained, thereby improving the accuracy of the target vehicle data, and further improving the accuracy of the target electric vehicle braking energy recovery function evaluation results obtained based on the target vehicle data, providing data support for the subsequent optimization of the braking energy recovery strategy of the target electric vehicle.

[0020] It should be understood that the content described in this section is not intended to identify the key or important features of the embodiments of the present invention, nor is it intended to limit the scope of the present invention. Other features of the present invention will become readily understood through the following description. BRIEF DESCRIPTION OF THE DRAWINGS

[0021] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the following briefly introduces the drawings required for use in the description of the embodiments. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0022] Figure 1A This is a flow chart of a method for evaluating the braking energy recovery function of an electric vehicle provided in accordance with the first embodiment of the present invention;

[0023] Figure 1B is a histogram of average braking energy recovery power corresponding to a first reference vehicle provided by embodiment 1 of the present invention;

[0024] Figure 1Cis a scatter plot corresponding to a second reference vehicle provided according to the first embodiment of the present invention;

[0025] Figure 2 This is a flow chart of a method for evaluating the braking energy recovery function of an electric vehicle provided in accordance with a second embodiment of the present invention;

[0026] Figure 3 2 is a schematic structural diagram of a device for evaluating the braking energy recovery function of an electric vehicle according to a third embodiment of the present invention;

[0027] Figure 4 It is a structural diagram of an electronic device for implementing the electric vehicle braking energy recovery function evaluation method according to an embodiment of the present invention. DETAILED DESCRIPTION

[0028] In order to enable those skilled in the art to better understand the solutions of the present invention, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the embodiments described are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative efforts should fall within the scope of protection of the present invention.

[0029] It should be noted that the terms "objective", "first" and "second" in the description and claims of the present invention and the above-mentioned drawings are used to distinguish similar objects and are not necessarily used to describe a specific order or sequence. It should be understood that the numbers used in this way can be interchanged where appropriate, so that the embodiments of the present invention described herein can be implemented in an order other than those illustrated or described herein. In addition, the terms "including" and "having" and any variations thereof are intended to cover non-exclusive inclusions. For example, a process, method, system, product or device that includes a series of steps or units is not necessarily limited to those steps or units clearly listed, but may include other steps or units that are not clearly listed or inherent to these processes, methods, products or devices.

[0030] Example 1

[0031] Figure 1A This is a flow chart of a method for evaluating the braking energy recovery function of an electric vehicle provided in the first embodiment of the present invention. This embodiment is applicable to evaluating the braking energy recovery function of electric vehicles of various types under actual road conditions. The method can be executed by an electric vehicle braking energy recovery function evaluation device, which can be implemented in the form of hardware and / or software and can be configured in an electronic device. Figure 1A As shown, the method includes:

[0032] S101: Determine at least one target electric vehicle to be evaluated, and obtain target vehicle data of each target electric vehicle on a target test section.

[0033] Among them, the target electric vehicles refer to electric vehicles that need to undergo brake energy recovery function evaluation. It should be noted that the power transmission system of each target electric vehicle is normal, without related faults that limit the vehicle's output torque; the driving resistance of each target electric vehicle is normal, without related faults that affect the driving resistance; the braking system of each target electric vehicle is normal, without related faults that affect brake energy recovery. It should also be noted that the loading mass of each target electric vehicle is set according to the average load or the most frequent load commonly used by real users, so as to be closer to the actual usage scenarios of real users and improve the accuracy of the target vehicle data. Among them, the most frequent load refers to the load frequently used by most real users.

[0034] Among them, the target test section refers to the actual driving section pre-designated according to actual business needs. The target vehicle data refers to the vehicle data generated when the target electric vehicle is driving on the target test section; optionally, the target vehicle data includes the road altitude, vehicle speed, accelerator pedal opening, brake pedal opening, power battery current and power battery voltage at each moment when the target electric vehicle is driving on the target test section. Among them, the accelerator pedal opening refers to the degree or angle to which the accelerator pedal of the target electric vehicle is depressed; the brake pedal opening refers to the degree or angle to which the brake pedal of the target electric vehicle is depressed; the power battery current refers to the discharge current of the power battery in the target electric vehicle; the power battery voltage refers to the voltage across the battery when the power battery in the target electric vehicle is discharging.

[0035] In addition, the target vehicle data also includes the target vehicle's total mass and the battery SOC (State of Charge) at each moment while the target electric vehicle is traveling on the target test section. Battery SOC refers to the remaining charge of the target electric vehicle's power battery.

[0036] Specifically, at least one target electric vehicle to be evaluated may be determined based on actual business needs; and target vehicle data generated on a target test section may be acquired through a data acquisition device on each target electric vehicle.

[0037] For example, if the actual business demand is: want to understand the braking energy recovery function of vehicle 1, vehicle 2 and vehicle 3 on section 1, then it is determined that the target electric vehicles to be evaluated are vehicle 1, vehicle 2 and vehicle 3, and the target test section is section 1; then, the target vehicle data generated by vehicle 1 on section 1 is obtained through the data acquisition device on vehicle 1, the target vehicle data generated by vehicle 2 on section 1 is obtained through the data acquisition device on vehicle 2, and the target vehicle data generated by vehicle 3 on section 1 is obtained through the data acquisition device on vehicle 3.

[0038] S102. Determine the total regenerative braking energy of the target electric vehicle on the target test section based on the target vehicle data, determine the average regenerative braking power of the target electric vehicle in each brake pedal opening interval, and determine the single braking index data of each braking of the target electric vehicle on the target test section.

[0039] The total regenerative braking energy refers to the total regenerative braking energy recovered by the target electric vehicle on the target test section. The brake pedal opening intervals can be pre-set according to actual business needs. For example, the brake pedal opening intervals may include [0%, 10%), [10%, 20%), [20%, 30%), [30%, 40%), [40%, 50%), [50%, 60%), [60%, 70%), [70%, 80%), [80%, 90%), and [90%, 100%). This embodiment of the present invention does not impose any specific restrictions on this. For each brake pedal opening interval, the average regenerative braking power refers to the average power of the target electric vehicle's regenerative braking energy in that brake pedal opening interval.

[0040] Among them, the single braking index data refers to the data used to evaluate the braking energy recovery function of the target electric vehicle during a single braking; optionally, the single braking index data includes a single braking energy recovery rate and an average brake pedal opening. Among them, the average brake pedal opening refers to the average value of all brake pedal openings in a single braking of the target electric vehicle. The single braking energy recovery rate refers to the braking energy recovery rate of a single braking of the target electric vehicle. It should be noted that each braking of the target electric vehicle is specifically represented by the process of the brake pedal opening of the target electric vehicle changing from zero to greater than zero and then to zero.

[0041] Specifically, the target vehicle data can be filtered according to the brake pedal opening in the target vehicle data to obtain filtered vehicle data; the total recovered braking energy of the target electric vehicle on the target test section can be determined based on the power battery current and power battery voltage at each moment in the filtered vehicle data; the target vehicle data and the preset brake pedal opening intervals are input into the trained power calculation model to obtain the average braking energy recovery power of the target electric vehicle in each brake pedal opening interval; the target vehicle data is input into the trained single braking index data determination model to obtain the single braking index data of the target electric vehicle for each braking on the target test section.

[0042] Among them, the power calculation model refers to a machine learning model or deep learning model used to calculate the average braking energy recovery power of the target electric vehicle in each brake pedal opening interval; the single braking index data determination model refers to a machine learning model or deep learning model used to calculate the single braking index data of the target electric vehicle each time it brakes on the target test section.

[0043] The target vehicle data is filtered based on the brake pedal opening in the target vehicle data to obtain filtered vehicle data. Specifically, the target vehicle data may be filtered to select vehicle data having a brake pedal opening greater than zero as the filtered vehicle data. It should be noted that if a brake pedal opening in the target vehicle data is equal to zero, all vehicle data at the time corresponding to that brake pedal opening is discarded. For example, if the target vehicle data includes road altitude, vehicle speed, accelerator pedal opening, brake pedal opening, power battery current, and power battery voltage at each moment, if brake pedal opening 1 is equal to zero, the road altitude, vehicle speed, accelerator pedal opening, brake pedal opening, power battery current, and power battery voltage at time t1 corresponding to brake pedal opening 1 are all discarded.

[0044] The total regenerative braking energy of the target electric vehicle on the target test section is determined based on the power battery current and power battery voltage at each moment in the filtered vehicle data. Specifically, the following methods may be used: for each moment in the filtered vehicle data, the regenerative braking energy of the target electric vehicle at the brake pedal opening at that moment is determined based on the power battery current and power battery voltage at that moment; and the total regenerative braking energy of the target electric vehicle on the target test section is determined based on the regenerative braking energy of the target electric vehicle at the brake pedal opening at each moment in the filtered vehicle data. For each moment in the filtered vehicle data, the regenerative braking energy refers to the braking energy recovered by the target electric vehicle at the brake pedal opening at that moment.

[0045] More specifically, taking time t1 in the filtered vehicle data as an example, based on the power battery current and power battery voltage at time t1, the following formula for determining regenerative braking energy is used to determine the regenerative braking energy of the target electric vehicle at the brake pedal opening at time t1:

[0046]

[0047] Among them, E t1 I represents the regenerative braking energy of the target electric vehicle at the brake pedal opening at time t1; t1 Indicates the power battery current at time t1; U t1 Represents the power battery voltage at time t1. Afterwards, the regenerative braking energy of the target electric vehicle at each brake pedal opening in the screened vehicle data is summed to obtain the total regenerative braking energy of the target electric vehicle on the target test section. For example, if the screened vehicle data includes time t1, time t2, time t3, time t5, and time t6, the regenerative braking energy of the target electric vehicle at the brake pedal opening at time t1 is E t1 The regenerative braking energy of the target electric vehicle at the brake pedal opening at time t2 is E t2 The regenerative braking energy of the target electric vehicle at the brake pedal opening at time t3 is E t3 The regenerative braking energy of the target electric vehicle at the brake pedal opening at time t5 is E t5 The regenerative braking energy of the target electric vehicle at the brake pedal opening at time t6 is E t6 , then the total regenerative braking energy of the target electric vehicle on the target test section is: E = E t1 +E t2 +E t3 +E t5 +E t6 .

[0048] S103. Evaluate the braking energy recovery function of each target electric vehicle based on the total recovered braking energy of each target electric vehicle on the target test section, the average braking energy recovery power of each target electric vehicle in each brake pedal opening interval, and the single braking index data of each target electric vehicle at each braking on the target test section.

[0049] Specifically, by comparing the total regenerative braking energy of each target electric vehicle on the target test section, a first preset number of target electric vehicles with the highest total regenerative braking energy rankings can be selected from each target electric vehicle as the first reference vehicles; for each first reference vehicle, a histogram of the average regenerative braking energy corresponding to the first reference vehicle is drawn based on the average regenerative braking energy power of the first reference vehicle in each brake pedal opening interval, see Figure 1B , thereby obtaining a histogram of average braking energy recovery power corresponding to each first reference vehicle; by comparing the histograms of average braking energy recovery power corresponding to each first reference vehicle, a second preset number of second reference vehicles are screened out from each first reference vehicle; for each second reference vehicle, based on the single braking energy recovery rate of each braking of the second reference vehicle on the target test section, the average braking energy recovery rate of the second reference vehicle on the target test section is determined using the following formula:

[0050]

[0051] in, represents the average braking energy recovery rate of the second reference vehicle on the target test section; n represents the total number of braking times of the second reference vehicle on the target test section; It represents the single braking energy recovery rate of the second reference vehicle during the i-th braking on the target test section.

[0052] Afterwards, by comparing the average braking energy recovery rates of each second reference vehicle on the target test section, the second reference vehicle with the highest average braking energy recovery rate is screened out from each second reference vehicle as the best reference electric vehicle with the best braking energy recovery function, so that subsequent designers can adjust the braking energy recovery strategies of other target electric vehicles participating in the braking energy recovery function evaluation based on the vehicle design parameters of the best reference electric vehicle.

[0053] Optionally, after selecting a second preset number of second reference vehicles from each first reference vehicle, a scatter plot corresponding to each second reference vehicle may be drawn based on the average brake pedal opening and single braking energy recovery rate of each braking of the second reference vehicle on the target test section, see Figure 1C By comparing the scatter plots corresponding to each second reference vehicle, the best reference electric vehicle with the best braking energy recovery function is screened out from each second reference vehicle, so that subsequent designers can adjust the braking energy recovery strategies of other target electric vehicles participating in the braking energy recovery function evaluation based on the vehicle design parameters of the best reference electric vehicle.

[0054] It should be noted that Figure 1B The unit of average braking energy recovery power is kilowatt (kW), and the unit of brake pedal opening is %; Figure 1C The unit of single braking energy recovery rate is %, and the unit of average brake pedal opening is %.

[0055] The technical solution of the embodiment of the present invention is to determine at least one target electric vehicle to be evaluated and obtain target vehicle data of each target electric vehicle on the target test section; determine the total recovered braking energy of the target electric vehicle on the target test section according to the target vehicle data, determine the average braking energy recovery power of the target electric vehicle in each brake pedal opening interval, and determine the single braking index data of each braking of the target electric vehicle on the target test section; evaluate the braking energy recovery function of each target electric vehicle according to the total recovered braking energy of each target electric vehicle on the target test section, the average braking energy recovery power of each target electric vehicle in each brake pedal opening interval, and the single braking index data of each target electric vehicle on the target test section. The above technical solution analyzes the target vehicle data of the target electric vehicle on the actual road section, and evaluates the braking energy recovery function of the target electric vehicle from multiple dimensions, such as the total recovered braking energy of the target electric vehicle on the target test section, the average braking energy recovery power of the target electric vehicle in each brake pedal opening interval, and the single braking index data of each braking of the target electric vehicle on the target test section. In a manner that is closer to the actual usage scenarios of real users, the target vehicle data required for evaluating the braking energy recovery function of the target electric vehicle is obtained, thereby improving the accuracy of the target vehicle data, and further improving the accuracy of the target electric vehicle braking energy recovery function evaluation results obtained based on the target vehicle data, providing data support for the subsequent optimization of the braking energy recovery strategy of the target electric vehicle.

[0056] Example 2

[0057] Figure 2 This is a flowchart of a method for evaluating the braking energy recovery function of an electric vehicle provided in Example 2 of the present invention. Based on the above examples, this example further optimizes "determining the average braking energy recovery power of the target electric vehicle in each brake pedal opening interval based on the target vehicle data, and determining the single braking index data of each braking of the target electric vehicle on the target test section", and provides an optional implementation plan. It should be noted that for the parts not described in detail in the examples of the present invention, reference can be made to the relevant statements of other examples. Figure 2 As shown, the method includes:

[0058] S201: Determine at least one target electric vehicle to be evaluated, and obtain target vehicle data of each target electric vehicle on a target test section.

[0059] S202: Determine the total regenerative braking energy of the target electric vehicle on the target test section based on the target vehicle data.

[0060] S203 . For each brake pedal opening interval, extract the interval vehicle data whose brake pedal opening belongs to the brake pedal opening interval from the target vehicle data.

[0061] For each brake pedal opening interval, the interval vehicle data refers to vehicle data of the target vehicle whose brake pedal opening belongs to the brake pedal opening interval in the target vehicle data.

[0062] Specifically, taking the brake pedal opening interval [20%, 30%) as an example, vehicle data with a brake pedal opening equal to 20% and less than 30% is extracted from the target vehicle data as interval vehicle data for the brake pedal opening interval [20%, 30%).

[0063] It should be noted that a piece of vehicle data in the target vehicle data refers to the vehicle data of the target battery vehicle at a moment when it is traveling on the target test section, including but not limited to the total mass of the target vehicle, as well as the road altitude, vehicle speed, accelerator pedal opening, brake pedal opening, power battery current, power battery voltage and battery SOC at that moment.

[0064] S204: Determine the average braking energy recovery power of the target electric vehicle in the brake pedal opening interval according to the total number of brake pedal openings in the interval vehicle data and the power battery current and power battery voltage corresponding to each brake pedal opening.

[0065] Specifically, based on the total number of brake pedal openings in the interval vehicle data, and the power battery current and power battery voltage corresponding to each brake pedal opening, the average brake energy recovery power of the target electric vehicle in the brake pedal opening interval is determined using the following formula:

[0066]

[0067] in, represents the average braking energy recovery power of the target electric vehicle in the brake pedal opening interval; n represents the total number of brake pedal openings in the interval vehicle data; I i Indicates the power battery current corresponding to the i-th brake pedal opening in the interval vehicle data; U i Indicates the power battery voltage corresponding to the i-th brake pedal opening in the interval vehicle data.

[0068] Thus, the average braking energy recovery power of the target electric vehicle in each brake pedal opening interval can be obtained.

[0069] S205 . For each braking of the target electric vehicle on the target test section, extract the braking duration data of this braking from the target vehicle data.

[0070] The braking duration data refers to vehicle data generated when the target electric vehicle maintains braking in the target vehicle data.

[0071] Specifically, for each braking of the target electric vehicle on the target test section, based on the braking start time and braking end time of this braking, the vehicle data from the braking start time to the braking end time is extracted from the target vehicle data as the braking duration data of this braking.

[0072] S206. Determine the single braking energy recovery rate of the target electric vehicle in this braking according to the braking start time, braking end time, braking start speed, braking end speed, braking start altitude, braking end altitude, target vehicle gross mass, and power battery current and power battery voltage at each moment in the braking duration data.

[0073] The braking start speed refers to the vehicle speed at the start of braking; the braking end speed refers to the vehicle speed at the end of braking; the braking start altitude refers to the road altitude at the start of braking; and the braking end altitude refers to the road altitude at the end of braking. The target gross vehicle mass refers to the gross mass of the target electric vehicle.

[0074] Specifically, based on the braking start time, braking end time, braking start speed, braking end speed, braking start altitude, braking end altitude, target vehicle gross mass, and power battery current and power battery voltage at each moment in the braking duration data, the single braking energy recovery rate of the target electric vehicle in this braking is determined using the following single braking energy recovery rate determination formula:

[0075]

[0076] in, Indicates the single braking energy recovery rate of the target electric vehicle in this braking; t1 indicates the braking start time; t2 indicates the braking end time; t1≤t≤t2; I t Indicates the power battery current at time t during this braking; U t represents the power battery voltage at time t during this braking process; m represents the target vehicle's gross mass; V1 represents the braking start speed; V2 represents the braking end speed; h1 represents the braking start altitude; and h2 represents the braking end altitude.

[0077] S207 , average all brake pedal openings in the braking duration data to obtain an average brake pedal opening for the target electric vehicle during this braking.

[0078] S208. Evaluate the braking energy recovery function of each target electric vehicle based on the total recovered braking energy of each target electric vehicle on the target test section, the average braking energy recovery power of each target electric vehicle in each brake pedal opening interval, and the single braking index data of each target electric vehicle at each braking on the target test section.

[0079] The technical solution of the embodiment of the present invention analyzes the target vehicle data of the target electric vehicle on the actual road section, and evaluates the braking energy recovery function of the target electric vehicle from multiple dimensions, such as the total recovered braking energy of the target electric vehicle on the target test section, the average braking energy recovery power of the target electric vehicle in each brake pedal opening interval, and the single braking index data of each braking of the target electric vehicle on the target test section. In a manner that is closer to the actual usage scenarios of real users, the target vehicle data required for evaluating the braking energy recovery function of the target electric vehicle is obtained, thereby improving the accuracy of the target vehicle data, and further improving the accuracy of the target electric vehicle braking energy recovery function evaluation results obtained based on the target vehicle data, providing data support for the subsequent optimization of the braking energy recovery strategy of the target electric vehicle.

[0080] Example 3

[0081] Figure 3 This is a schematic diagram of the structure of an electric vehicle braking energy recovery function evaluation device provided by the third embodiment of the present invention. This embodiment is applicable to the evaluation of the braking energy recovery function of electric vehicles of various types under actual road conditions. The device can be implemented in the form of hardware and / or software and can be configured in electronic devices. Figure 3 As shown, the device includes:

[0082] A target vehicle data acquisition module 301 is used to determine at least one target electric vehicle to be evaluated and acquire target vehicle data of each target electric vehicle on a target test section;

[0083] An evaluation index data determination module 302 is configured to determine, based on the target vehicle data, the total regenerative braking energy of the target electric vehicle on the target test section, the average regenerative braking power of the target electric vehicle in each brake pedal opening interval, and single braking index data for each braking operation of the target electric vehicle on the target test section;

[0084] The braking energy recovery function evaluation module 303 is used to evaluate the braking energy recovery function of each target electric vehicle based on the total recovered braking energy of each target electric vehicle on the target test section, the average braking energy recovery power of each target electric vehicle in each brake pedal opening interval, and the single braking index data of each target electric vehicle for each braking on the target test section.

[0085] The technical solution of the embodiment of the present invention is to determine at least one target electric vehicle to be evaluated and obtain target vehicle data of each target electric vehicle on the target test section; determine the total recovered braking energy of the target electric vehicle on the target test section according to the target vehicle data, determine the average braking energy recovery power of the target electric vehicle in each brake pedal opening interval, and determine the single braking index data of each braking of the target electric vehicle on the target test section; evaluate the braking energy recovery function of each target electric vehicle according to the total recovered braking energy of each target electric vehicle on the target test section, the average braking energy recovery power of each target electric vehicle in each brake pedal opening interval, and the single braking index data of each target electric vehicle on the target test section. The above technical solution analyzes the target vehicle data of the target electric vehicle on the actual road section, and evaluates the braking energy recovery function of the target electric vehicle from multiple dimensions, such as the total recovered braking energy of the target electric vehicle on the target test section, the average braking energy recovery power of the target electric vehicle in each brake pedal opening interval, and the single braking index data of each braking of the target electric vehicle on the target test section. In a manner that is closer to the actual usage scenarios of real users, the target vehicle data required for evaluating the braking energy recovery function of the target electric vehicle is obtained, thereby improving the accuracy of the target vehicle data, and further improving the accuracy of the target electric vehicle braking energy recovery function evaluation results obtained based on the target vehicle data, providing data support for the subsequent optimization of the braking energy recovery strategy of the target electric vehicle.

[0086] Optionally, the evaluation index data determination module 302 includes a total regenerative braking energy determination unit, wherein the total regenerative braking energy determination unit includes:

[0087] a screening vehicle data determination subunit, configured to screen the target vehicle data according to the brake pedal opening in the target vehicle data to obtain screened vehicle data;

[0088] The total regenerative braking energy determination subunit is used to determine the total regenerative braking energy of the target electric vehicle on the target test section based on the power battery current and power battery voltage at each moment in the filtered vehicle data.

[0089] Optionally, the total regenerative braking energy determination subunit is specifically configured to:

[0090] For each moment in the filtered vehicle data, determining the regenerative braking energy of the target electric vehicle at the brake pedal opening at that moment based on the power battery current and power battery voltage at that moment;

[0091] The total regenerative braking energy of the target electric vehicle on the target test section is determined based on the regenerative braking energy of the target electric vehicle at the brake pedal opening at each moment in the filtered vehicle data.

[0092] Optionally, the evaluation index data determination module 302 further includes an average braking energy recovery power determination unit, wherein the average braking energy recovery power determination unit is specifically configured to:

[0093] For each brake pedal opening interval, extracting interval vehicle data of which the brake pedal opening belongs to the brake pedal opening interval from the target vehicle data;

[0094] According to the total number of brake pedal openings in the interval vehicle data, and the power battery current and power battery voltage corresponding to each brake pedal opening, the average braking energy recovery power of the target electric vehicle in the brake pedal opening interval is determined.

[0095] Optionally, single braking index data includes single braking energy recovery rate and average brake pedal opening;

[0096] The evaluation index data determination module 302 further includes a single braking index data determination unit, which is specifically configured to:

[0097] For each braking of the target electric vehicle on the target test section, the braking duration data of this braking is extracted from the target vehicle data;

[0098] Determine the single braking energy recovery rate of the target electric vehicle during this braking according to the braking start time, braking end time, braking start speed, braking end speed, braking start altitude, braking end altitude, target vehicle gross mass, and power battery current and power battery voltage at each moment in the braking duration data;

[0099] All brake pedal openings in the braking duration data are averaged to obtain an average brake pedal opening for the target electric vehicle during this braking.

[0100] Optionally, the target vehicle data includes the road altitude, vehicle speed, accelerator pedal opening, brake pedal opening, power battery current and power battery voltage at each moment when the target electric vehicle is traveling on the target test section.

[0101] The electric vehicle braking energy recovery function evaluation device provided in the embodiment of the present invention can execute the electric vehicle braking energy recovery function evaluation method provided in any embodiment of the present invention, and has the corresponding functional modules and beneficial effects for executing each electric vehicle braking energy recovery function evaluation method.

[0102] According to an embodiment of the present invention, the present invention further provides an electronic device, a readable storage medium and a computer program product.

[0103] Example 4

[0104] Figure 4 A schematic diagram of the structure of an electronic device 10 that can be used to implement an embodiment of the present invention is shown. The electronic device is intended to represent various forms of digital computers, such as laptop computers, desktop computers, workstations, personal digital assistants, servers, blade servers, mainframe computers, and other suitable computers. The electronic device can also represent various forms of mobile devices, such as personal digital processing, cellular phones, smart phones, wearable devices (such as helmets, glasses, watches, etc.) and other similar computing devices. The components shown herein, their connections and relationships, and their functions are merely examples and are not intended to limit the implementation of the present invention described and / or claimed herein.

[0105] like Figure 4 As shown, the electronic device 10 includes at least one processor 11, and a memory connected to the at least one processor 11, such as a read-only memory (ROM) 12, a random access memory (RAM) 13, etc., wherein the memory stores a computer program that can be executed by the at least one processor, and the processor 11 can perform various appropriate actions and processes according to the computer program stored in the read-only memory (ROM) 12 or the computer program loaded from the storage unit 18 to the random access memory (RAM) 13. Various programs and data required for the operation of the electronic device 10 can also be stored in the RAM 13. The processor 11, ROM 12 and RAM 13 are connected to each other via a bus 14. An input / output (I / O) interface 15 is also connected to the bus 14.

[0106] Multiple components in the electronic device 10 are connected to the I / O interface 15, including an input unit 16, such as a keyboard, a mouse, etc.; an output unit 17, such as various types of displays, speakers, etc.; a storage unit 18, such as a magnetic disk, an optical disk, etc.; and a communication unit 19, such as a network card, a modem, a wireless communication transceiver, etc. The communication unit 19 allows the electronic device 10 to exchange information / data with other devices via a computer network such as the Internet and / or various telecommunication networks.

[0107] The processor 11 can be any general-purpose and / or specialized processing component with processing and computing capabilities. Some examples of the processor 11 include, but are not limited to, a central processing unit (CPU), a graphics processing unit (GPU), various specialized artificial intelligence (AI) computing chips, various processors running machine learning model algorithms, a digital signal processor (DSP), and any suitable processor, controller, microcontroller, etc. The processor 11 executes the various methods and processes described above, such as the method for evaluating the braking energy recovery function of an electric vehicle.

[0108] In some embodiments, the electric vehicle braking energy recovery function evaluation method can be implemented as a computer program, which is tangibly contained in a computer-readable storage medium, such as a storage unit 18. In some embodiments, part or all of the computer program can be loaded and / or installed on the electronic device 10 via the ROM 12 and / or the communication unit 19. When the computer program is loaded into the RAM 13 and executed by the processor 11, one or more steps of the electric vehicle braking energy recovery function evaluation method described above can be performed. Alternatively, in other embodiments, the processor 11 can be configured to execute the electric vehicle braking energy recovery function evaluation method in any other appropriate manner (for example, by means of firmware).

[0109] Various embodiments of the systems and techniques described herein can be implemented in digital electronic circuit systems, integrated circuit systems, field programmable gate arrays (FPGAs), application specific integrated circuits (ASICs), application specific standard products (ASSPs), system-on-chip systems (SOCs), programmable logic devices (CPLDs), computer hardware, firmware, software, and / or combinations thereof. These various embodiments can include being implemented in one or more computer programs that are executable and / or interpreted on a programmable system that includes at least one programmable processor, which can be a special purpose or general purpose programmable processor that can receive data and instructions from a storage system, at least one input device, and at least one output device, and transmit data and instructions to the storage system, the at least one input device, and the at least one output device.

[0110] Computer programs for implementing the methods of the present invention may be written in any combination of one or more programming languages. These computer programs may be provided to a processor of a general-purpose computer, a special-purpose computer, or other programmable data processing device, such that when the computer program is executed by the processor, the functions / operations specified in the flowcharts and / or block diagrams are implemented. The computer program may be executed entirely on the machine, partially on the machine, as a stand-alone software package, partially on the machine and partially on a remote machine, or entirely on a remote machine or server.

[0111] In the context of the present invention, computer-readable storage media can be tangible media that can contain or store a computer program for use with an instruction execution system, device or equipment or used in combination with an instruction execution system, device or equipment. Computer-readable storage media can include but are not limited to electronic, magnetic, optical, electromagnetic, infrared or semiconductor systems, devices or equipment, or any suitable combination of the foregoing. Alternatively, computer-readable storage media can be machine-readable signal media. More specific examples of machine-readable storage media can include electrical connections based on one or more lines, portable computer disks, hard disks, random access memories (RAM), read-only memories (ROM), erasable programmable read-only memories (EPROM or flash memory), optical fibers, portable compact disk read-only memories (CD-ROM), optical storage devices, magnetic storage devices, or any suitable combination of the foregoing.

[0112] To provide interaction with a user, the systems and techniques described herein can be implemented on an electronic device having: a display device (e.g., a CRT (cathode ray tube) or LCD (liquid crystal display) monitor) for displaying information to the user; and a keyboard and pointing device (e.g., a mouse or trackball) through which the user can provide input to the electronic device. Other types of devices can also be used to provide interaction with the user; for example, the feedback provided to the user can be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user can be received in any form (including acoustic input, voice input, or tactile input).

[0113] The systems and techniques described herein can be implemented in a computing system that includes back-end components (e.g., as a data server), or a computing system that includes middleware components (e.g., an application server), or a computing system that includes front-end components (e.g., a user computer with a graphical user interface or web browser through which a user can interact with implementations of the systems and techniques described herein), or a computing system that includes any combination of such back-end components, middleware components, or front-end components. The components of the system can be interconnected by any form or medium of digital data communication (e.g., a communication network). Examples of communication networks include: a local area network (LAN), a wide area network (WAN), a blockchain network, and the Internet.

[0114] A computing system may include clients and servers. The clients and servers are typically remote from each other and typically interact via a communication network. This client-server relationship arises through computer programs running on the respective computers, creating a client-server relationship. The server may be a cloud server, also known as a cloud computing server or cloud host. This server is a hosting product within the cloud computing service ecosystem that addresses the management difficulties and limited scalability of traditional physical hosting and VPS services.

[0115] It should be understood that the various forms of the processes shown above can be used to reorder, add, or delete steps. For example, the steps described in the present invention can be performed in parallel, sequentially, or in a different order, as long as the desired results of the technical solution of the present invention can be achieved. This is not limited herein.

[0116] The above specific embodiments do not limit the scope of protection of the present invention. Those skilled in the art will appreciate that various modifications, combinations, sub-combinations, and substitutions may be made based on design requirements and other factors. Any modifications, equivalent substitutions, and improvements made within the spirit and principles of the present invention are intended to be included within the scope of protection of the present invention.

Claims

1. A method for evaluating the braking energy recovery function of an electric vehicle, characterized in that: include: Determining at least one target electric vehicle to be evaluated, and obtaining target vehicle data of each target electric vehicle on a target test section; Determine, based on the target vehicle data, the total regenerative braking energy of the target electric vehicle on the target test section, determine the average regenerative braking power of the target electric vehicle in each brake pedal opening interval, and determine single braking index data for each braking of the target electric vehicle on the target test section; The braking energy recovery function of each target electric vehicle is evaluated based on the total recovered braking energy of each target electric vehicle on the target test section, the average braking energy recovery power of each target electric vehicle in each brake pedal opening interval, and the single braking index data of each target electric vehicle for each braking on the target test section.

2. The method according to claim 1, characterized in that Determining, based on the target vehicle data, the total regenerative braking energy of the target electric vehicle on the target test section, comprising: filtering the target vehicle data according to the brake pedal opening in the target vehicle data to obtain filtered vehicle data; The total regenerative braking energy of the target electric vehicle on the target test section is determined according to the power battery current and the power battery voltage at each moment in the filtered vehicle data.

3. The method according to claim 2, characterized in that Determining the total regenerative braking energy of the target electric vehicle on the target test section based on the power battery current and the power battery voltage at each moment in the filtered vehicle data includes: For each moment in the filtered vehicle data, determining the regenerative braking energy of the target electric vehicle at the brake pedal opening at that moment based on the power battery current and the power battery voltage at that moment; The total regenerative braking energy of the target electric vehicle on the target test section is determined according to the regenerative braking energy of the target electric vehicle at each moment of the brake pedal opening in the filtered vehicle data.

4. The method according to claim 1, wherein Determining, based on the target vehicle data, an average braking energy recovery power of the target electric vehicle in each brake pedal opening interval, including: For each brake pedal opening interval, extracting, from the target vehicle data, interval vehicle data whose brake pedal opening belongs to the brake pedal opening interval; The average braking energy recovery power of the target electric vehicle in the brake pedal opening interval is determined based on the total number of brake pedal openings in the interval vehicle data and the power battery current and power battery voltage corresponding to each brake pedal opening.

5. The method according to claim 1, wherein The single braking index data includes a single braking energy recovery rate and an average brake pedal opening; Determining, based on the target vehicle data, single braking index data of each braking of the target electric vehicle on the target test section, including: For each braking of the target electric vehicle on the target test section, extracting braking duration data of this braking from the target vehicle data; Determine the single braking energy recovery rate of the target electric vehicle in this braking according to the braking start time, braking end time, braking start speed, braking end speed, braking start altitude, braking end altitude, target vehicle gross mass, and power battery current and power battery voltage at each moment in the braking duration data; All brake pedal openings in the braking duration data are averaged to obtain an average brake pedal opening for the target electric vehicle during this braking.

6. The method according to claim 1, characterized in that The target vehicle data includes the road altitude, vehicle speed, accelerator pedal opening, brake pedal opening, power battery current and power battery voltage at each moment when the target electric vehicle is traveling on the target test section.

7. An electric vehicle braking energy recovery function evaluation device, characterized in that: include: a target vehicle data acquisition module, configured to determine at least one target electric vehicle to be evaluated and acquire target vehicle data of each target electric vehicle on a target test section; an evaluation index data determination module, configured to determine, based on the target vehicle data, the total regenerative braking energy of the target electric vehicle on the target test section, determine the average regenerative braking power of the target electric vehicle in each brake pedal opening interval, and determine single braking index data for each braking of the target electric vehicle on the target test section; The braking energy recovery function evaluation module is used to evaluate the braking energy recovery function of each target electric vehicle based on the total recovered braking energy of each target electric vehicle on the target test section, the average braking energy recovery power of each target electric vehicle in each brake pedal opening interval, and the single braking index data of each target electric vehicle for each braking on the target test section.

8. An electronic device, characterized in that: The electronic device comprises: at least one processor; and a memory communicatively connected to the at least one processor; wherein, The memory stores a computer program that can be executed by the at least one processor, and the computer program is executed by the at least one processor to enable the at least one processor to perform the electric vehicle braking energy recovery function evaluation method according to any one of claims 1 to 6.

9. A computer-readable storage medium, characterized in that The computer-readable storage medium stores computer instructions, and the computer instructions are used to enable a processor to implement the electric vehicle braking energy recovery function evaluation method according to any one of claims 1 to 6 when executed.

10. A computer program product, comprising a computer program, wherein when the computer program is executed by a processor, the method for evaluating the braking energy recovery function of an electric vehicle according to any one of claims 1 to 6 is implemented.