Power battery evaluation method and device, equipment and storage medium

Abstract

The invention relates to a power battery evaluation method, device and equipment and a storage medium, and relates to the field of batteries. The method comprises the following steps: performing a first battery available energy UBE test on a first electric vehicle to obtain a first UBE of the first electric vehicle; wherein the driving mileage of the first electric vehicle is smaller than a mileage threshold value; under the condition that the first electric vehicle meets the mileage running-in requirement, performing a second UBE test on the first electric vehicle to obtain a second UBE of the first electric vehicle; determining the ratio of the second UBE to the first UBE as a first battery certification energy state SOCE of the first electric vehicle; and determining an evaluation result of the power battery based on the first SOCE of the first electric vehicle. The method can accurately evaluate the durability of the power battery.

Description

Technical Field

[0001] The present application relates to the field of batteries, and in particular to a power battery evaluation method, device, equipment and storage medium. Background Art

[0002] As a key core component of pure electric vehicles, the performance of power batteries directly determines key indicators such as the power performance, economy, and safety of vehicles. However, the health status of power batteries is affected by various factors, such as charge and discharge rates, charge and discharge times (closely related to battery capacity attenuation), driving mileage, environmental temperature, and driving habits, resulting in problems such as low battery durability.

[0003] Currently, most methods for evaluating the durability of power batteries are evaluated from the capacity dimension of the power battery's power, such as conducting charge and discharge cycle tests on the power battery.

[0004] However, evaluating the battery durability of power batteries based on capacity is evaluated from the size of the charge warehouse and cannot accurately determine the actual workload of the power battery, thus unable to accurately determine the durability of the power battery. Summary of the Invention

[0005] The present application provides a power battery evaluation method, device, equipment and storage medium, which can accurately evaluate the durability of power batteries.

[0006] To achieve the above object, the present application adopts the following technical solutions: In a first aspect, the present application provides a battery evaluation method for an electric vehicle, including: Performing a first battery available energy UBE test on a first electric vehicle to obtain the first UBE of the first electric vehicle; wherein, the driving mileage of the first electric vehicle is less than the mileage threshold; When the first electric vehicle meets the mileage running-in requirement, performing a second UBE test on the first electric vehicle to obtain the second UBE of the first electric vehicle; Determining the ratio of the second UBE to the first UBE as the first battery certified energy state SOCE of the first electric vehicle; Based on the first SOCE of the first electric vehicle, determining the evaluation result of the power battery.

[0007] In one embodiment, based on the first SOCE of the first electric vehicle, determining the evaluation result of the power battery includes: Obtain the average value of the SOCE deviation of the first electric vehicle; wherein, the average value of the SOCE deviation is determined based on the first SOCE and the second SOCE of the SOCE sensor of the first electric vehicle; when the average value of the SOCE deviation is less than or equal to the first SOCE deviation threshold, determine the evaluation result of the power battery based on the second SOCE; when the average value of the SOCE deviation is greater than the second SOCE deviation threshold, determine the evaluation result of the power battery based on the first SOCE; when the average value of the SOCE deviation is greater than the first SOCE deviation threshold and less than or equal to the second SOCE deviation threshold, re-evaluate the power battery.

[0008] In one embodiment, the determination process of the first SOCE deviation threshold is as follows: SOCE bias1 =5-(t P1 +t P2 )×S SOCE Wherein, SOCE bias1 is the first SOCE deviation threshold; t P1 is the first empirical parameter; t P2 is the second empirical parameter; S SOCE is the standard deviation of the data deviation between the first SOCE and the second SOCE.

[0009] In one embodiment, the determination process of the second SOCE deviation threshold is as follows: SOCE bias2 =5+(t F1－ t F2 )×S SOCE Wherein, SOCE bias2 is the second SOCE deviation threshold; t F1 is the third empirical parameter; t F2 is the fourth empirical parameter; S SOCE is the standard deviation of the data deviation between the first SOCE and the second SOCE.

[0010] In one embodiment, the first electric vehicle meets the mileage running-in requirements, including: When the UBE accurate value meets the UBE accurate threshold fluctuation requirement, if the current accurate value meets the current accurate threshold fluctuation requirement and / or the voltage accurate value meets the voltage accurate threshold fluctuation requirement, the first electric vehicle meets the mileage running-in requirements; wherein, the UBE accurate value is determined based on the measured UBE and the on-vehicle monitored UBE of the first electric vehicle, the current accurate value is determined based on the measured current and the on-vehicle monitored current of the first electric vehicle, and the voltage accurate value is determined based on the measured voltage and the on-vehicle monitored voltage of the first electric vehicle.

[0011] In one embodiment, the first electric vehicle meets the running-in requirement for mileage, including: When the accurate value of UBE meets the requirement for the fluctuation of the UBE accurate threshold, if the accurate value of current meets the requirement for the fluctuation of the current accurate threshold and / or the accurate value of voltage meets the requirement for the fluctuation of the voltage accurate threshold, the first electric vehicle meets the requirement for the accuracy of on-vehicle monitoring data; wherein, the accurate value of UBE is determined based on the measured UBE and the on-vehicle monitored UBE of the first electric vehicle, the accurate value of current is determined based on the measured current and the on-vehicle monitored current of the first electric vehicle, and the accurate value of voltage is determined based on the measured voltage and the on-vehicle monitored voltage of the first electric vehicle; when the battery power of the first electric vehicle is greater than the power threshold, obtain the third state of charge of the battery certified energy (SOCE) of the SOCE sensor of the first electric vehicle; perform running-in on the first electric vehicle, and obtain the fourth SOCE of the SOCE sensor of the first electric vehicle in real time; when the difference between the third SOCE and the fourth SOCE exceeds the SOCE consumption threshold, the first electric vehicle meets the SOCE consumption requirement; when the first electric vehicle meets the requirement for the accuracy of on-vehicle monitoring data and meets the SOCE consumption requirement, the first electric vehicle meets the running-in requirement for mileage.

[0012] In one embodiment, both the first UBE test and the second UBE test include at least one of a constant speed working condition test, a cycle working condition test, and a combined cycle and constant speed working condition test.

[0013] In a second aspect, the present application provides a power battery evaluation device, which includes: A first test module, configured to perform a first battery available energy (UBE) test on the first electric vehicle to obtain the first UBE of the first electric vehicle; wherein, the driving mileage of the first electric vehicle is less than the mileage threshold; A second test module, configured to perform a second UBE test on the first electric vehicle to obtain the second UBE of the first electric vehicle when the first electric vehicle meets the running-in requirement for mileage; A first determination module, configured to determine the ratio of the second UBE to the first UBE as the first state of charge of the battery certified energy (SOCE) of the first electric vehicle; An evaluation module, configured to determine the evaluation result of the power battery based on the first SOCE of the first electric vehicle.

[0014] In a third aspect, the present application provides a computing device, including a memory and a processor; Wherein, one or more computer programs are stored in the memory, and the one or more computer programs include instructions; when the instructions are executed by the processor, the computing device is caused to execute the method according to any one of the first aspect.

[0015] Fourthly, the present application provides a computer-readable storage medium for storing a computer program for executing the method according to any one of the first aspect.

[0016] Fifthly, the present application provides a computer program product including one or more computer instructions, which, when executed by a computer, cause the computer to execute the method according to any one of the first aspect.

[0017] It can be seen from the above technical solutions that the present application has at least the following beneficial effects: In the present application, a first UBE test is performed on a first electric vehicle with a driving mileage less than a mileage threshold to obtain a first UBE; further, the first electric vehicle undergoes mileage running-in, and when the first electric vehicle meets the mileage running-in requirements, a second UBE test is performed on the first electric vehicle to obtain a second UBE of the first electric vehicle; furthermore, a first SOCE of the first electric vehicle can be calculated based on the second UBE and the first UBE; finally, the power battery of the first electric vehicle can be evaluated based on the first SOCE of the first electric vehicle. By introducing the first UBE and the second UBE, this solution lays a data foundation for accurately determining the first SOCE for evaluating the power battery, and furthermore, accurate evaluation of the durability of the power battery can be achieved based on the accurate first SOCE.

[0018] It should be understood that the description of technical features, technical solutions, beneficial effects or similar languages in the present application does not imply that all features and advantages can be achieved in any single embodiment. On the contrary, it can be understood that the description of features or beneficial effects means that at least one embodiment includes specific technical features, technical solutions or beneficial effects. Therefore, the description of technical features, technical solutions or beneficial effects in this specification does not necessarily refer to the same embodiment. Furthermore, the technical features, technical solutions and beneficial effects described in this embodiment can be combined in any appropriate manner. Those skilled in the art will understand that an embodiment can be implemented without one or more specific technical features, technical solutions or beneficial effects of a specific embodiment. In other embodiments, additional technical features and beneficial effects can also be identified in specific embodiments that do not embody all embodiments. BRIEF DESCRIPTION OF THE DRAWINGS

[0019] Figure 1 It is an application environment diagram of a power battery evaluation method provided in an embodiment of the present application; Figure 2 It is a flowchart of a power battery evaluation method provided in an embodiment of the present application; Figure 3It is a schematic flowchart for determining the evaluation result of a power battery provided in an embodiment of the present application; Figure 4 It is a schematic flowchart for a mileage running-in requirement provided in an embodiment of the present application; Figure 5 It is a structural block diagram for a power battery device provided in an embodiment of the present application; Figure 6 It is an internal structure diagram of a computer device provided in an embodiment of the present application. Detailed implementation manners

[0020] Terms such as "first", "second", and "third" in the specification and drawings of the present application are used to distinguish different objects, rather than to limit a specific order.

[0021] In the embodiments of the present application, words such as "exemplary" or "for example" are used to represent examples, illustrations, or explanations. Any embodiment or design solution described as "exemplary" or "for example" in the embodiments of the present application should not be construed as being more preferred or having more advantages than other embodiments or design solutions. Rather, the use of words such as "exemplary" or "for example" is intended to present relevant concepts in a specific manner.

[0022] For the sake of clear and concise description of the following embodiments, a brief introduction to the related technologies is given first: As a key core component of a pure electric vehicle, the performance of a power battery directly determines key indicators such as the power performance, economy, and safety of the vehicle. However, the health status of a power battery is affected by various factors, such as charge and discharge rates, charge and discharge times (which are closely related to battery capacity attenuation), driving mileage, environmental temperature, and vehicle usage habits, ultimately resulting in problems such as low battery durability.

[0023] Currently, most methods for evaluating the durability of a power battery are evaluated from the capacity dimension of the power battery's power, such as performing charge and discharge cycle tests on the power battery.

[0024] However, evaluating the battery durability of a power battery based on capacity is evaluated from the size of the charge warehouse and cannot accurately determine the actual workload of the power battery, thus unable to accurately determine the durability of the power battery.

[0025] In order to make the technical solutions of the present application clearer and easier to understand, the application scenarios of the technical solutions of the present application are introduced below with reference to the drawings. As Figure 1 shown, this figure is a schematic diagram of an application scenario provided in an embodiment of the present application.

[0026] In this application scenario, during the UBE test and mileage running-in process of the first electric vehicle, relevant data of the first electric vehicle (such as current, voltage, discharge amount, etc.) is transmitted to the server 102. The server 102 performs relevant calculations and analyses on the relevant data, obtains the evaluation result of the power battery of the first electric vehicle, and transmits the evaluation result to the terminal 103 through the communication network for relevant technical personnel to view the evaluation result.

[0027] To make the technical solution of this application clearer and easier to understand, the following introduces a power battery evaluation method provided by an embodiment of this application in combination with the above application scenario. As Figure 2 shown, this figure is a flowchart of a power battery evaluation method provided by an embodiment of this application.

[0028] S201. Perform the first battery available energy UBE test on the first electric vehicle to obtain the first UBE of the first electric vehicle.

[0029] Among them, the driving mileage of the first electric vehicle is less than the mileage threshold, and the mileage threshold can be preset according to the actual situation. The first electric vehicle with a driving mileage less than the mileage threshold can represent that the first electric vehicle is basically in a new vehicle state; the first UBE test includes at least one of an isokinetic condition test, a cycle condition test, and a cycle isokinetic combined condition test; the first UBE can represent the battery available energy of the first electric vehicle in the new vehicle state.

[0030] Optionally, before performing the first UBE test on the first electric vehicle, information verification can also be performed on the first electric vehicle, such as information on power battery repair / replacement records and monitor families, etc., to ensure that the first electric vehicle is basically in a new vehicle and the same configuration state; among them, the first electric vehicle can include at least one electric vehicle with the same power battery and the same monitor family.

[0031] Exemplarily, the driving resistance test can be first performed on the first electric vehicle to obtain the road load coefficient corresponding to the first electric vehicle, and then the road load simulation can be carried out based on the road load coefficient to determine the road load setting value corresponding to the first electric vehicle; further, the first electric vehicle is pre-treated (discharge pre-treatment and charge pre-treatment), that is, the first electric vehicle is subjected to discharge pre-treatment until the battery SOC (State of Charge) of the power battery of the first electric vehicle drops to a preset SOC value (such as 10%), the discharge pre-treatment is ended, and after the first electric vehicle is left stationary for not less than 1 hour (to ensure that the various performances and temperature of the power battery return to a stable state), the first electric vehicle is subjected to charge pre-treatment. The charging ambient temperature can be maintained within the range of (25±5)°C. During the charging process, the power-consuming components on the first electric vehicle are turned off, and after the charging is completed, the first electric vehicle is left stationary for not less than 1 hour (to ensure that the various performances and temperature of the power battery return to a stable state). Further, according to the working condition requirements, the first UBE test is performed on the first electric vehicle until the preset speed tolerance range is not reached, and the first UBE test is ended.

[0032] Optionally, the first test data can be synchronously collected during the first UBE test, such as chassis dynamometer data, vehicle-mounted data, and power battery discharge data, etc. The braking energy recovery system adopts the same control strategy as the first electric vehicle. At the same time, for every 100 km the first electric vehicle travels, it can rest for 10 minutes, and the data collection is not interrupted during the parking rest period. After the first UBE test is completed, after the first electric vehicle is left stationary for more than 30 minutes, the first electric vehicle is charged again. During this charging process, the charging current and voltage of the power battery are collected at a frequency of not less than 20 HZ, and the data collection can stop with the end of the charging.

[0033] S202. When the first electric vehicle meets the mileage running-in requirements, the second UBE test is performed on the first electric vehicle to obtain the second UBE of the first electric vehicle.

[0034] Optionally, before the second UBE test is performed on the first electric vehicle, the first electric vehicle can be subjected to mileage running-in so that the first electric vehicle after running-in can be equivalent to an in-use vehicle with a certain mileage; or, after the first electric vehicle has traveled a certain mileage (meeting the mileage running-in requirements), the second UBE test can be performed on the first electric vehicle.

[0035] Among them, the mileage running-in requirements may include, but are not limited to, at least one of the battery certified energy state SOCE consumption requirement and the vehicle-mounted monitoring data accuracy requirement; the second UBE test may include, but is not limited to, at least one of the constant speed condition test, the cycle condition test, and the cycle constant speed combined condition test; the second UBE may represent the available energy of the battery of the first electric vehicle after driving a certain mileage.

[0036] It should be noted that the test processes of the second UBE test and the first UBE test are the same, except that the states of the first electric vehicle used in the second UBE test and the first UBE test are different. That is, the first electric vehicle used in the first UBE test is in a new vehicle state, while the state of the first electric vehicle used in the second UBE test is the state after driving a certain mileage, that is, the in-use vehicle state.

[0037] S203. Determine the ratio of the second UBE to the first UBE as the first battery certified energy state SOCE of the first electric vehicle.

[0038] Among them, the first SOCE may represent the durability performance of the power battery during vehicle use.

[0039] Exemplarily, the calculation process of the first SOCE can be expressed as: (1) S204. Determine the evaluation result of the power battery based on the first SOCE of the first electric vehicle.

[0040] Among them, the evaluation result may include, but is not limited to, the power battery durability, the power battery health value, the remaining service life of the power battery, and usage suggestions, etc.

[0041] Exemplarily, according to the first SOCE of the first electric vehicle with different driving mileages, a SOCE change curve of the power battery of the first electric vehicle can be constructed; furthermore, based on this SOCE change curve and information such as the life characteristics of the power battery, information such as the future SOCE change curve of the power battery can be predicted, and the power battery durability, the power battery health value, the remaining service life of the power battery, and usage suggestions, etc. can be obtained.

[0042] The above power battery evaluation method obtains the first UBE by performing the first UBE test on the first electric vehicle with a driving range less than the range threshold. Further, the first electric vehicle is run-in for mileage, and when the first electric vehicle meets the mileage run-in requirements, the second UBE test is performed on the first electric vehicle to obtain the second UBE of the first electric vehicle. Furthermore, the first SOCE of the first electric vehicle can be calculated based on the second UBE and the first UBE. Finally, the power battery of the first electric vehicle can be evaluated based on the first SOCE of the first electric vehicle. By introducing the first UBE and the second UBE, this solution lays a data foundation for accurately determining the first SOCE used to evaluate the power battery. Furthermore, based on the accurate first SOCE, accurate evaluation of the durability of the power battery can be achieved.

[0043] Based on the above embodiments, the embodiments of the present application further elaborate on S204 in detail. Specifically, in the embodiments of the present application, the process of determining the evaluation result of the power battery is as Figure 3 shown, and specifically includes the following steps: S301. Obtain the mean value of the SOCE deviation of the first electric vehicle.

[0044] Among them, the mean value of the SOCE deviation can be determined based on the first SOCE and the second SOCE of the SOCE sensor of the first electric vehicle, and can represent the mean value of the data deviation between the second SOCE monitored by the SOCE sensor on the first electric vehicle and the first SOCE (calculated based on the real-time data in the UBE test).

[0045] Exemplarily, when there are n electric vehicles in the first electric vehicle, calculate the SOCE deviation between the first SOCE and the second SOCE of each electric vehicle in the first electric vehicle, and the calculation process is as follows: (2) Among them, p k represents the SOCE deviation of the kth electric vehicle in the first electric vehicle, k represents the vehicle number of the electric vehicle in the first electric vehicle, represents the first SOCE, represents the second SOCE.

[0046] Further, calculate the mean value of the SOCE deviations of the electric vehicles in the first electric vehicle, and the calculation process is as follows: (3) Among them, represents the mean value of the SOCE deviation of the first electric vehicle, and n can represent the total number of electric vehicles in the first electric vehicle.

[0047] S302. Determine the magnitude relationship between the average SOCE deviation and the first SOCE deviation threshold and the second SOCE deviation threshold. If the average SOCE deviation is less than or equal to the first SOCE deviation threshold, then execute S303; if the average SOCE deviation is greater than the second SOCE deviation threshold, then execute S304; if the average SOCE deviation is greater than the first SOCE deviation threshold and less than or equal to the second SOCE deviation threshold, then execute S305.

[0048] Among them, the first SOCE deviation threshold can represent the reliable fluctuation threshold of the second SOCE, that is, if the deviation of the second SOCE compared to the first SOCE is less than the first SOCE deviation threshold, then the second SOCE monitored by the SOCE sensor on the first electric vehicle is reliable and can be used to analyze the durability of the power battery; the second SOCE deviation threshold can represent the unreliable fluctuation threshold of the second SOCE, that is, if the deviation of the second SOCE compared to the first SOCE is greater than the second SOCE deviation threshold, then the second SOCE monitored by the SOCE sensor on the first electric vehicle is unreliable and cannot be used to analyze the durability of the power battery.

[0049] Optionally, the determination process of the first SOCE deviation threshold is as follows: SOCE bias1 = 5 - (t P1 + t P2 ) × S SOCE (4) (5) Among them, SOCE bias1 is the first SOCE deviation threshold; t P1 is the first empirical parameter; t P2 is the second empirical parameter; S SOCE is the standard deviation of the data deviation between the first SOCE and the second SOCE.

[0050] Optionally, the determination process of the second SOCE deviation threshold is as follows: SOCE bias2 = 5 + (t F1－ t F2 ) × S SOCE (6) Among them, SOCE bias2 is the second SOCE deviation threshold; t F1 is the third empirical parameter; t F2 is the fourth empirical parameter.

[0051] S303. Determine the evaluation result of the power battery based on the second SOCE.

[0052] Exemplarily, the SOCE data monitored by the SOCE sensor is accurate, and the power battery can be evaluated directly according to the second SOCE monitored by the SOCE sensor on the first electric vehicle.

[0053] S304. Determine the evaluation result of the power battery based on the first SOCE.

[0054] Exemplarily, the SOCE data monitored by the SOCE sensor is inaccurate, and the power battery cannot be evaluated based on the second SOCE monitored by the SOCE sensor on the first electric vehicle. That is, the power battery can be evaluated through the first SOCE.

[0055] S305. Re-evaluate the power battery.

[0056] Exemplarily, the data is unstable, and it is impossible to accurately determine whether the second SOCE monitored by the SOCE sensor is accurate. It is necessary to re-conduct the second UBE test on the first electric vehicle, re-obtain the data and re-evaluate.

[0057] In the embodiments of the present application, by introducing the first SOCE deviation threshold and the second SOCE deviation threshold, a basis for judging whether the SOCE data monitored by the SOCE sensor on the first electric vehicle is accurate is provided, laying a foundation for obtaining an accurate evaluation result of the power battery.

[0058] Based on the above embodiments, the embodiments of the present application further explain the above S202 in detail. Specifically, the detailed process involving the mileage running-in requirements in the embodiments of the present application specifically includes: When the UBE accurate value meets the UBE accurate threshold fluctuation requirement, if the current accurate value meets the current accurate threshold fluctuation requirement and / or the voltage accurate value meets the voltage accurate threshold fluctuation requirement, the first electric vehicle meets the mileage running-in requirement.

[0059] Among them, the UBE accurate value is determined based on the measured UBE (i.e., the second UBE) and the on-vehicle monitored UBE of the first electric vehicle, the current accurate value is determined based on the measured current and the on-vehicle monitored current of the first electric vehicle, and the voltage accurate value is determined based on the measured voltage and the on-vehicle monitored voltage of the first electric vehicle.

[0060] Optionally, the calculation process of the UBE accurate value can be expressed as: (7) (8) (9) Among them, can represent the second UBE (i.e., the measured UBE) of the first electric vehicle in the jth evaluation; It can represent the on-vehicle monitored UBE of the first electric vehicle in the j-th evaluation; It can represent the correlation between the second UBE and the on-vehicle monitored UBE of the first electric vehicle in the j-th evaluation, and the on-vehicle monitored UBE can be obtained through the on-vehicle UBE monitor on the first electric vehicle; It can represent the correlation between the second UBE and the on-vehicle monitored UBE during the entire evaluation process (which may include multiple second UBE tests on the first electric vehicle); j can represent the test serial number of the second UBE test on the first electric vehicle, N can represent the total number of second UBE tests on the first electric vehicle, and X UBE It can represent the accurate UBE value corresponding to the on-vehicle UBE monitor.

[0061] The calculation process of the accurate current value can be expressed as: (10) (11) (12) Wherein, It can represent the measured current of the first electric vehicle in the j-th evaluation; It can represent the on-vehicle monitored current of the first electric vehicle in the j-th evaluation, and can be obtained through the on-vehicle current monitor on the first electric vehicle; It can represent the correlation between the measured current and the on-vehicle monitored current of the first electric vehicle in the j-th evaluation; It can represent the average correlation coefficient between the measured current and the on-vehicle monitored current during the entire evaluation process (which may include multiple second UBE tests on the first electric vehicle); X I It can represent the accurate current value corresponding to the on-vehicle current monitor.

[0062] The calculation process of the accurate voltage value can be expressed as: (13) (14) (15) Wherein, It can represent the measured voltage of the first electric vehicle in the j-th evaluation, It can represent the on-vehicle monitored voltage of the first electric vehicle in the j-th evaluation, and can be obtained through the on-vehicle voltage monitor on the first electric vehicle, It can represent the correlation between the measured voltage and the on-vehicle monitored voltage of the first electric vehicle in the j-th evaluation; can represent the average correlation coefficient between the measured voltage and the on-vehicle monitored voltage during the entire evaluation process (which may include multiple second UBE tests on the first electric vehicle); X U can represent the accurate voltage value corresponding to the on-vehicle voltage monitor.

[0063] In the embodiments of the present application, by performing accuracy judgments on the UBE accurate value, current accurate value, and voltage accurate value, a foundation is laid for obtaining an accurate first SOCE subsequently, and finally an accurate evaluation result of the power battery is obtained.

[0064] Based on the above embodiments, the embodiments of the present application further elaborate on S202. Specifically, in the embodiments of the present application, there is another detailed process regarding the mileage running-in requirements, such as Figure 4 shown, which specifically includes the following steps: S401. When the UBE accurate value meets the UBE accurate threshold fluctuation requirement, if the current accurate value meets the current accurate threshold fluctuation requirement and / or the voltage accurate value meets the voltage accurate threshold fluctuation requirement, the first electric vehicle meets the on-vehicle monitoring data accuracy requirement.

[0065] Among them, the UBE accurate value is determined based on the measured UBE (i.e., the second UBE) and the on-vehicle monitored UBE of the first electric vehicle, the current accurate value is determined based on the measured current and the on-vehicle monitored current of the first electric vehicle, and the voltage accurate value is determined based on the measured voltage and the on-vehicle monitored voltage of the first electric vehicle.

[0066] S402. When the battery power of the first electric vehicle is greater than the power threshold, obtain the third battery certified energy state SOCE of the SOCE sensor of the first electric vehicle.

[0067] Among them, the power threshold can indicate that the first electric vehicle is in a fully charged state.

[0068] It should be noted that when the battery power of the first electric vehicle is greater than the power threshold, the first power vehicle can complete the mileage running-in.

[0069] Exemplarily, when the battery power of the first electric vehicle is greater than the power threshold, the third battery certified energy state SOCE of the SOCE sensor of the first electric vehicle can be obtained through channels such as the communication module or the internal link.

[0070] S403. Perform mileage running-in on the first electric vehicle and obtain the fourth SOCE of the SOCE sensor of the first electric vehicle in real time.

[0071] Exemplarily, the first electric vehicle can be placed on a chassis dynamometer, and the mileage running-in of the first electric vehicle can be carried out according to a preset working condition, and the fourth SOCE monitored by the SOCE sensor on the first electric vehicle can be obtained in real time during the mileage running-in.

[0072] S404. When the difference between the third SOCE and the fourth SOCE exceeds the SOCE consumption threshold, the first electric vehicle meets the SOCE consumption requirement.

[0073] Among them, the SOCE consumption threshold can indicate that the vehicle has traveled a certain amount of energy consumption.

[0074] Exemplarily, during the mileage running-in process, calculate the difference between the third SOCE and the fourth SOCE, and when the difference between the third SOCE and the fourth SOCE exceeds the SOCE consumption threshold, the first electric vehicle meets the SOCE consumption requirement, and the mileage running-in of the first electric vehicle is stopped.

[0075] S405. When the first electric vehicle meets the on-vehicle monitoring data accuracy requirement and the SOCE consumption requirement, the first electric vehicle meets the mileage running-in requirement.

[0076] In the embodiments of the present application, by introducing the on-vehicle monitoring data accuracy requirement and the SOCE consumption requirement, layer-by-layer verification of the data accuracy in the power battery evaluation process is realized, ensuring the accuracy of the evaluation result.

[0077] As described above in combination with Figures 1 to 4 The power battery evaluation method provided by the embodiments of the present application has been introduced in detail. Next, the device, computer device, computer-readable storage medium, and computer program product provided by the embodiments of the present application will be introduced with reference to the drawings.

[0078] As Figure 5 shown, this figure is a schematic diagram of a power battery evaluation device provided by the embodiments of the present application. The device 500 includes: a first test module 501, a second test module 502, a first determination module 503, and an evaluation module 504, where: The first test module 501 is configured to perform a first available battery energy UBE test on the first electric vehicle to obtain the first UBE of the first electric vehicle; where the driving mileage of the first electric vehicle is less than the mileage threshold; The second test module 502 is configured to perform a second UBE test on the first electric vehicle to obtain the second UBE of the first electric vehicle when the first electric vehicle meets the mileage running-in requirement; The first determination module 503 is configured to determine the ratio of the second UBE to the first UBE as the first battery certification energy state SOCE of the first electric vehicle; An evaluation module 504 is configured to determine an evaluation result of the power battery based on the first SOCE of the first electric vehicle.

[0079] In one embodiment, the evaluation module 504 is specifically configured to: Obtain the mean value of the SOCE deviation of the first electric vehicle; wherein, the mean value of the SOCE deviation is determined based on the first SOCE and the second SOCE of the SOCE sensor of the first electric vehicle; in the case where the mean value of the SOCE deviation is less than or equal to the first SOCE deviation threshold, determine the evaluation result of the power battery based on the second SOCE; in the case where the mean value of the SOCE deviation is greater than the second SOCE deviation threshold, determine the evaluation result of the power battery based on the first SOCE; in the case where the mean value of the SOCE deviation is greater than the first SOCE deviation threshold and less than or equal to the second SOCE deviation threshold, re-evaluate the power battery.

[0080] In one embodiment, the evaluation module 504 is specifically configured to: SOCE bias1 =5-(t P1 +t P2 )×S SOCE (16) Wherein, SOCE bias1 is the first SOCE deviation threshold; t P1 is the first empirical parameter; t P2 is the second empirical parameter; S SOCE is the standard deviation of the data deviation between the first SOCE and the second SOCE.

[0081] In one embodiment, the evaluation module 504 is specifically configured to: SOCE bias2 =5+(t F1－ t F2 )×S SOCE (17) Wherein, SOCE bias2 is the second SOCE deviation threshold; t F1 is the third empirical parameter; t F2 is the fourth empirical parameter; S SOCE is the standard deviation of the data deviation between the first SOCE and the second SOCE.

[0082] In one embodiment, the second test module 502 is specifically configured to: When the UBE accurate value meets the UBE accurate threshold fluctuation requirement, if the current accurate value meets the current accurate threshold fluctuation requirement and / or the voltage accurate value meets the voltage accurate threshold fluctuation requirement, the first electric vehicle meets the mileage running-in requirement; wherein, the UBE accurate value is determined based on the measured UBE and the on-vehicle monitored UBE of the first electric vehicle, the current accurate value is determined based on the measured current and the on-vehicle monitored current of the first electric vehicle, and the voltage accurate value is determined based on the measured voltage and the on-vehicle monitored voltage of the first electric vehicle. In one embodiment, the second test module 502 is specifically configured to: When the UBE accurate value meets the UBE accurate threshold fluctuation requirement, if the current accurate value meets the current accurate threshold fluctuation requirement and / or the voltage accurate value meets the voltage accurate threshold fluctuation requirement, the first electric vehicle meets the on-vehicle monitored data accuracy requirement; wherein, the UBE accurate value is determined based on the measured UBE and the on-vehicle monitored UBE of the first electric vehicle, the current accurate value is determined based on the measured current and the on-vehicle monitored current of the first electric vehicle, and the voltage accurate value is determined based on the measured voltage and the on-vehicle monitored voltage of the first electric vehicle; when the battery power of the first electric vehicle is greater than the power threshold, obtain the third state of charge of the battery certified by the SOCE sensor of the first electric vehicle; perform mileage running-in on the first electric vehicle, and obtain the fourth SOCE of the SOCE sensor of the first electric vehicle in real time; when the difference between the third SOCE and the fourth SOCE exceeds the SOCE consumption threshold, the first electric vehicle meets the SOCE consumption requirement; when the first electric vehicle meets the on-vehicle monitored data accuracy requirement and the SOCE consumption requirement, the first electric vehicle meets the mileage running-in requirement. In one embodiment, both the first UBE test and the second UBE test include at least one of a constant speed condition test, a cycle condition test, and a cycle constant speed combined condition test.

[0083] The power battery evaluation device 500 according to the embodiment of the present application can correspondingly execute the methods described in the embodiments of the present application, and the above other operations and / or functions of each module / unit of the power battery evaluation device 500 are respectively for implementing Figures 2 to 4 the corresponding processes of the respective methods in the illustrated embodiments, and for the sake of brevity, will not be described herein again.

[0084] The embodiment of the present application further provides a computing device. The computing device can be a local computing device or an application server.

[0085] Such as Figure 6As shown, this figure is a schematic diagram of a computing device provided by an embodiment of the present application. The computing device 600 includes a bus 601, a processor 602, a communication interface 603, and a memory 604. The processor 602, the memory 604, and the communication interface 603 communicate with each other through the bus 601.

[0086] The bus 601 can be a Peripheral Component Interconnect (PCI) bus or an Extended Industry Standard Architecture (EISA) bus, etc. The bus can be divided into an address bus, a data bus, a control bus, etc. For the sake of simplicity in representation, Figure 6 only a thick line is used to represent it in the figure, but it does not mean that there is only one bus or one type of bus.

[0087] The processor 602 can be any one or more of a central processing unit (CPU), a graphics processing unit (GPU), a microprocessor (MP), or a digital signal processor (DSP), etc.

[0088] The communication interface 603 is used for external communication. For example, the communication interface 603 can be used to communicate with the terminal 103. The communication interface 603 is used to send the evaluation result to the terminal 103 so that the terminal 103 can display the evaluation result of the power battery.

[0089] The memory 604 can include a volatile memory, such as a random access memory (RAM). The memory 604 can also include a non-volatile memory, such as a read-only memory (ROM), a flash memory, a hard disk drive (HDD), or a solid state drive (SSD).

[0090] The memory 604 stores executable code, and the processor 602 executes the executable code to perform the aforementioned virtual object allocation method.

[0091] Specifically, in the case of implementing Figure 5 the embodiment shown, and Figure 5When each module or unit of the power battery evaluation device described in the embodiments is implemented by software, the software or program code required to execute the functions of each module / unit in Figure 5 can be partially or fully stored in the memory 604. The processor 602 executes the program code corresponding to each unit stored in the memory 604 to execute the foregoing power battery evaluation method.

[0092] The embodiments of the present application further provide a computer-readable storage medium. The computer-readable storage medium can be any available medium that a computing device can store or a data storage device such as a data center containing one or more available media. The available medium can be a magnetic medium (such as a floppy disk, a hard disk, a magnetic tape), an optical medium (such as a DVD), or a semiconductor medium (such as a solid-state drive), etc. The computer-readable storage medium includes instructions that direct the computing device to execute the foregoing power battery evaluation method.

[0093] The embodiments of the present application further provide a computer program product, which includes one or more computer instructions. When the computer instructions are loaded and executed on a computing device, the processes or functions described in the embodiments of the present application are fully or partially generated.

[0094] The computer instructions can be stored in a computer-readable storage medium or transmitted from one computer-readable storage medium to another. For example, the computer instructions can be transmitted from one website, computer, or data center to another website, computer, or data center in a wired manner (such as coaxial cable, optical fiber, digital subscriber line) or a wireless manner (such as infrared, wireless, microwave, etc.).

[0095] When the computer program product is executed by a computer, the computer executes any one of the foregoing power battery evaluation methods. The computer program product can be a software installation package. In the case where any one of the foregoing power battery evaluation methods needs to be used, the computer program product can be downloaded and executed on the computer.

[0096] The descriptions of the processes or structures corresponding to the above respective drawings each have their own emphases. For parts not detailed in a certain process or structure, reference can be made to the relevant descriptions of other processes or structures.

[0097] The above is only the specific implementation manner of the present application, but the protection scope of the present application is not limited thereto. Any changes or substitutions within the technical scope disclosed in the present application should be covered by the protection scope of the present application.

Claims

1. A power battery evaluation method, characterized in that, The method includes: Performing a first test on the available battery energy UBE of a first electric vehicle to obtain the first UBE of the first electric vehicle; wherein, the driving mileage of the first electric vehicle is less than a mileage threshold; When the first electric vehicle meets the mileage running-in requirements, performing a second UBE test on the first electric vehicle to obtain the second UBE of the first electric vehicle; Determining the ratio of the second UBE to the first UBE as the first battery certified energy state SOCE of the first electric vehicle; Determining an evaluation result of the power battery based on the first SOCE of the first electric vehicle.

2. The method according to claim 1, wherein The determining the evaluation result of the power battery based on the first SOCE of the first electric vehicle includes: Obtaining the mean value of the SOCE deviation of the first electric vehicle; wherein, the mean value of the SOCE deviation is determined based on the first SOCE and the second SOCE of the SOCE sensor of the first electric vehicle; When the mean value of the SOCE deviation is less than or equal to a first SOCE deviation threshold, determining the evaluation result of the power battery based on the second SOCE; When the mean value of the SOCE deviation is greater than a second SOCE deviation threshold, determining the evaluation result of the power battery based on the first SOCE; When the mean value of the SOCE deviation is greater than the first SOCE deviation threshold and less than or equal to the second SOCE deviation threshold, re-evaluating the power battery.

3. The method according to claim 2, wherein The process of determining the first SOCE deviation threshold is as follows: SOCE bias1 = 5 - (t P1 + t P2 ) × S SOCE Among them, SOCE bias1 is the first SOCE deviation threshold; t P1 is the first empirical parameter; t P2 is the second empirical parameter; S SOCE is the standard deviation of the data deviation between the first SOCE and the second SOCE.

4. The method according to claim 2, wherein The process of determining the second SOCE deviation threshold is as follows: SOCE bias2 =5+(t F1－ t F2 )×S SOCE Among them, SOCE bias2 is the second SOCE deviation threshold; t F1 is the third empirical parameter; t F2 is the fourth empirical parameter; S SOCE is the standard deviation of the data deviation between the first SOCE and the second SOCE.

5. The method according to claim 1, wherein The mileage running-in requirements include requirements for the accuracy of on-vehicle monitoring data. The requirements for the accuracy of on-vehicle monitoring data include requirements for the fluctuation of the UBE accuracy threshold, requirements for the fluctuation of the current accuracy threshold, and requirements for the fluctuation of the voltage accuracy threshold. The first electric vehicle meeting the mileage running-in requirements includes: When the UBE accurate value meets the requirements for the fluctuation of the UBE accuracy threshold, if the current accurate value meets the requirements for the fluctuation of the current accuracy threshold and / or the voltage accurate value meets the requirements for the fluctuation of the voltage accuracy threshold, the first electric vehicle meets the mileage running-in requirements; wherein, the UBE accurate value is determined based on the measured UBE and the on-vehicle monitored UBE of the first electric vehicle, the current accurate value is determined based on the measured current and the on-vehicle monitored current of the first electric vehicle, and the voltage accurate value is determined based on the measured voltage and the on-vehicle monitored voltage of the first electric vehicle.

6. The method according to claim 1, wherein The mileage running-in requirements include SOCE consumption requirements and requirements for the accuracy of on-vehicle monitoring data. The requirements for the accuracy of on-vehicle monitoring data include requirements for the fluctuation of the UBE accuracy threshold, requirements for the fluctuation of the current accuracy threshold, and requirements for the fluctuation of the voltage accuracy threshold. The first electric vehicle meeting the mileage running-in requirements includes: When the UBE accurate value meets the requirements of the UBE accurate threshold fluctuation, if the current accurate value meets the requirements of the current accurate threshold fluctuation and / or the voltage accurate value meets the requirements of the voltage accurate threshold fluctuation, the first electric vehicle meets the requirements for the accuracy of on-vehicle monitoring data; wherein, the UBE accurate value is determined based on the measured UBE and the on-vehicle monitored UBE of the first electric vehicle, the current accurate value is determined based on the measured current and the on-vehicle monitored current of the first electric vehicle, and the voltage accurate value is determined based on the measured voltage and the on-vehicle monitored voltage of the first electric vehicle; When the battery power of the first electric vehicle is greater than the power threshold, obtain the third state of charge of the energy of the battery (SOCE) of the SOCE sensor of the first electric vehicle; Run in for the mileage of the first electric vehicle and obtain the fourth SOCE of the SOCE sensor of the first electric vehicle in real time; When the difference between the third SOCE and the fourth SOCE exceeds the SOCE consumption threshold, the first electric vehicle meets the SOCE consumption requirements; When the first electric vehicle meets the requirements for the accuracy of on-vehicle monitoring data and meets the SOCE consumption requirements, the first electric vehicle meets the requirements for running in; 7. The method according to claim 1, wherein Both the first UBE test and the second UBE test include at least one of a constant speed working condition test, a cycle working condition test, and a combined cycle and constant speed working condition test; 8. A power battery evaluation device, characterized in that The device includes: A first test module for performing a first test on the available energy of the battery (UBE) of the first electric vehicle to obtain the first UBE of the first electric vehicle; wherein, the driving mileage of the first electric vehicle is less than the mileage threshold; A second test module for performing a second UBE test on the first electric vehicle when the first electric vehicle meets the requirements for running in to obtain the second UBE of the first electric vehicle; A first determination module for determining the ratio of the second UBE to the first UBE as the first state of charge of the energy of the battery (SOCE) of the first electric vehicle; An evaluation module for determining the evaluation result of the power battery based on the first SOCE of the first electric vehicle; 9. A computing device, characterized in that, Includes a memory and a processor; Wherein, one or more computer programs are stored in the memory, and the one or more computer programs include instructions; when the instructions are executed by the processor, the computing device is caused to execute the method according to any one of claims 1 to 7; 10. A computer-readable storage medium, characterized in that, The computer-readable storage medium is used to store a computer program, and the computer program is used to execute the method according to any one of claims 1 to 7;

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