Battery performance test method and device, electronic equipment, storage medium and program product

Abstract

The invention relates to the technical field of batteries, in particular to a battery performance test method and device, electronic equipment, a storage medium and a program product. Obtaining each first test frequency and first test data corresponding to each first test frequency, which are obtained after the target battery is subjected to charge-discharge cycle tests for preset times under a preset pre-tightening force working condition; based on the first test data corresponding to each first test frequency, predicting test data corresponding to a second test frequency of the target battery after the preset frequency, and generating preset test data; obtaining second test data obtained after the target battery is subjected to a second number of charge-discharge cycle tests; according to the preset test data and the second test data, determining that the second test frequency is the critical test frequency corresponding to the performance critical value of the target battery; the accuracy of the determined critical test times is ensured, whether the target battery meets the specification or not can be detected, calculation is convenient, and universality is high.

Description

Technical Field

[0001] The present invention relates to the field of battery technology, and in particular to a battery performance testing method, device, electronic equipment, storage medium and program product. Background Art

[0002] With the popularity of electric vehicles, the requirements for battery performance are getting higher and higher. As an important performance indicator of the battery, the critical test number directly affects the battery's service life and reliability. The battery critical test number can be used to characterize the number of tests at which the battery's capacity decay drops sharply, that is, the battery's capacity decay rate before the battery critical test is less than the battery's capacity decay rate after the battery critical test.

[0003] However, there is no absolutely reliable method to accurately determine the critical test times of batteries. This is because the critical test times of batteries are affected by many factors, such as battery materials, manufacturing processes, and usage conditions.

[0004] Therefore, how to determine the critical test times of the battery and then determine whether the battery meets the standards is an urgent problem to be solved. Summary of the invention

[0005] In view of this, the present invention provides a battery performance testing method, device, electronic device, storage medium and program product to solve the problem of battery performance testing.

[0006] In a first aspect, the present invention provides a battery performance testing method, the method comprising:

[0007] Obtaining each first test number and first test data corresponding to each first test number after the target battery is subjected to a preset number of charge-discharge cycle tests under a preset preload force condition;

[0008] Based on the first test data corresponding to each first test number, predicting the test data corresponding to the second test number of the target battery after the preset number of times, to generate preset test data;

[0009] Acquire second test data obtained after the target battery is subjected to a second test number of charge and discharge cycle tests;

[0010] According to the preset test data and the second test data, the second test number is determined to be the critical test number corresponding to the performance critical value of the target battery; the critical test number corresponding to the performance critical value is used to characterize that the capacity decay rate of the target battery after the critical test number is greater than the capacity decay rate of the target battery before the critical test number.

[0011] The battery performance testing method provided in the embodiment of the present application obtains each first test number and the first test data corresponding to each first test number after the target battery is subjected to a preset number of charge and discharge cycle tests under a preset preload condition, thereby ensuring the accuracy of each first test number and each first test data corresponding to the target battery under the preset preload condition. Based on the first test data corresponding to each first test number, the test data corresponding to the second test number of the target battery after the preset number of times is predicted, and the preset test data is generated, thereby ensuring the accuracy of the generated preset test data. The second test data obtained after the target battery is subjected to the second number of charge and discharge cycle tests is obtained. Then, according to the preset test data and the second test data, the second test number is determined to be the critical test number corresponding to the performance critical value of the target battery, thereby ensuring the accuracy of the determined critical test number, and then the target battery can be detected according to the critical test number corresponding to the performance critical value of the target battery. The detection of the same batch of batteries is realized. The above method is easy to calculate and has strong universality.

[0012] In an optional embodiment, the first test data includes first battery expansion force data; the preset test data includes a predicted battery expansion force ratio; based on the first test data corresponding to each first test number, predicting the test data corresponding to a second test number of the target battery after the preset number of times, generating the preset test data, including:

[0013] Calculating the first battery expansion force ratio corresponding to each first test number based on the first battery expansion force data corresponding to each first test number;

[0014] Based on the correspondence between each first test number and each first battery expansion force ratio, a first fitting function between each first test number and each first battery expansion force ratio is generated by fitting;

[0015] The second test number is input into the first fitting function to generate a predicted battery expansion force ratio.

[0016] The battery performance test provided in the embodiment of the present application calculates the first battery expansion force ratio corresponding to each first test number based on the first battery expansion force data corresponding to each first test number, thereby ensuring the accuracy of the calculated first battery expansion force ratio corresponding to each first test number. Based on the correspondence between each first test number and the first battery expansion force ratio, a first fitting function between each first test number and each first battery expansion force ratio is fitted to ensure the accuracy of the generated first fitting function. The second test number is input into the first fitting function to generate a predicted battery expansion force ratio, thereby ensuring the accuracy of the generated predicted battery expansion force ratio.

[0017] In an optional implementation, based on the first battery expansion force data corresponding to each first test number, calculating the first battery expansion force ratio corresponding to each first test number includes:

[0018] Based on the first battery expansion force data corresponding to each first test number, determining a first expansion force maximum value corresponding to the target battery within a first preset state of charge range and a second expansion force maximum value corresponding to the target battery within a second preset state of charge range; wherein the first preset state of charge range belongs to the second preset state of charge range;

[0019] The first battery expansion force ratio corresponding to each first test number is calculated by dividing the first expansion force maximum value by the second expansion force maximum value.

[0020] The battery performance test provided in the embodiment of the present application determines the first expansion force maximum value corresponding to the target battery within the first preset state of charge range and the second expansion force maximum value corresponding to the target battery within the second preset state of charge range based on the first battery expansion force data corresponding to each first test number; the first battery expansion force ratio corresponding to each first test number is calculated by dividing the first expansion force maximum value by the second expansion force maximum value, thereby ensuring the accuracy of the calculated first battery expansion force ratio corresponding to each first test number.

[0021] In an optional embodiment, the second test data includes second battery expansion force data; and determining, according to the preset test data and the second test data, that the second test number is a critical test number corresponding to a critical performance value of the target battery, comprises:

[0022] Calculating a second battery expansion force ratio corresponding to a second number of tests according to the second battery expansion force data;

[0023] Subtracting the second battery expansion force ratio from the predicted battery expansion force ratio to obtain an expansion force ratio deviation;

[0024] If the expansion force ratio deviation is greater than the preset deviation threshold, the second test number is determined to be a critical test number corresponding to the performance critical value of the target battery.

[0025] The battery performance test provided in the embodiment of the present application calculates the second battery expansion force ratio corresponding to the second test number based on the second battery expansion force data; subtracts the second battery expansion force ratio from the predicted battery expansion force ratio to obtain the expansion force ratio deviation; if the expansion force ratio deviation is greater than a preset deviation threshold, the electronic device determines that the second battery expansion force ratio corresponding to the second test number is reduced, and therefore, the electronic device determines that the second test number is the critical test number corresponding to the performance critical value of the target battery, thereby ensuring the accuracy of the critical test number corresponding to the determined target battery.

[0026] In an optional embodiment, the first test data further includes first battery capacity retention rate data, and the second test data further includes second battery capacity retention rate data; if the expansion force ratio deviation is greater than a preset deviation threshold, determining the second test number as a critical test number corresponding to a performance critical value of the target battery includes:

[0027] If the expansion force ratio deviation is greater than the preset deviation threshold, based on the relationship between the first battery capacity retention rate data and the second battery capacity retention rate data, the second test number is determined to be a critical test number corresponding to the performance critical value of the target battery.

[0028] In the battery performance test provided in the embodiment of the present application, if the expansion force ratio deviation is greater than a preset deviation threshold, then based on the relationship between the first battery capacity retention rate data and the second battery capacity retention rate data, the second test number is determined to be the critical test number corresponding to the performance critical value of the target battery, thereby ensuring the accuracy of the critical test number corresponding to the determined target battery.

[0029] In an optional implementation, based on the relationship between the first battery capacity retention rate data and the second battery capacity retention rate data, determining the second test number as a critical test number corresponding to the performance critical value of the target battery includes:

[0030] Based on the corresponding relationship between each first test number and each first battery capacity retention rate data, a first capacity decay curve function is obtained by fitting based on the Arrhenius model;

[0031] Based on the correspondence between at least two second test times and the second battery capacity retention rate data, a second capacity decay curve function is obtained by fitting based on the Arrhenius model;

[0032] Based on the first capacity decay curve function and the second capacity decay curve function, a second test number is determined to be a critical test number corresponding to a performance critical value of the target battery.

[0033] The battery performance test provided in the embodiment of the present application is based on the correspondence between each first test number and each first battery capacity retention rate data, and the first capacity decay curve function is obtained by fitting based on the Arrhenius model, thereby ensuring the accuracy of the fitted first capacity decay curve function. Based on the correspondence between at least two second test numbers and the second battery capacity retention rate data, the second capacity decay curve function is obtained by fitting based on the Arrhenius model, thereby ensuring the accuracy of the fitted second capacity decay curve function. Based on the first capacity decay curve function and the second capacity decay curve function, the second test number is determined to be the critical test number corresponding to the performance critical value of the target battery, thereby ensuring the accuracy of the determined critical test number.

[0034] In an optional implementation, based on the first capacity decay curve function and the second capacity decay curve function, determining the second test number as a critical test number corresponding to the performance critical value of the target battery includes:

[0035] Obtaining a first exponential factor in a first capacity decay curve function;

[0036] Obtaining a second exponential factor in a second capacity decay curve function;

[0037] Calculate the growth rate of the second exponential factor relative to the first exponential factor;

[0038] If the growth rate is greater than the preset growth rate threshold, the second test number is determined to be a critical test number corresponding to the performance critical value of the target battery.

[0039] The battery performance test provided in the embodiment of the present application obtains the first exponential factor in the first capacity decay curve function; obtains the second exponential factor in the second capacity decay curve function; calculates the growth rate of the second exponential factor relative to the first exponential factor, thereby ensuring the accuracy of the calculated growth rate. If the growth rate is greater than the preset growth rate threshold, the second test number is determined to be the critical test number corresponding to the performance critical value of the target battery, thereby ensuring the accuracy of the determined critical test number.

[0040] In a second aspect, the present invention provides a battery performance testing device, the device comprising:

[0041] A first acquisition module, used to acquire each first test number and first test data corresponding to each first test number after the target battery is subjected to a preset number of charge-discharge cycle tests under a preset preload condition;

[0042] A prediction module, configured to predict test data corresponding to a second test number of the target battery after a preset number of times based on the first test data corresponding to each first test number, and generate preset test data;

[0043] A second acquisition module, used to acquire second test data obtained after the target battery is subjected to a second test number of charge and discharge cycle tests;

[0044] A determination module is used to determine that the second test number is a critical test number corresponding to the performance critical value of the target battery based on preset test data and second test data; the critical test number corresponding to the performance critical value is used to characterize that the performance of the target battery after the critical test number corresponding to the performance critical value will be lower than the performance of the target battery before the critical test number corresponding to the performance critical value.

[0045] The battery performance testing device provided in the embodiment of the present application obtains each first test number and the first test data corresponding to each first test number after the target battery is subjected to a preset number of charge and discharge cycle tests under a preset preload condition, thereby ensuring the accuracy of each first test number and each first test data corresponding to the target battery under the preset preload condition. Based on the first test data corresponding to each first test number, the test data corresponding to the second test number of the target battery after the preset number of times is predicted, and the preset test data is generated, thereby ensuring the accuracy of the generated preset test data. The second test data obtained after the target battery is subjected to the second number of charge and discharge cycle tests is obtained. Then, according to the preset test data and the second test data, the second test number is determined to be the critical test number corresponding to the performance critical value of the target battery, thereby ensuring the accuracy of the determined critical test number, and then the target battery can be detected whether it meets the regulations according to the critical test number corresponding to the performance critical value of the target battery. The detection of the same batch of batteries is realized. The above device is easy to calculate and has strong universality.

[0046] In a third aspect, the present invention provides an electronic device, comprising: a memory and a processor, the memory and the processor being communicatively connected to each other, the memory storing computer instructions, and the processor executing the battery performance testing method of the first aspect or any corresponding embodiment thereof by executing the computer instructions.

[0047] In a fourth aspect, the present invention provides a computer-readable storage medium having computer instructions stored thereon, the computer instructions being used to enable a computer to execute the battery performance testing method of the first aspect or any corresponding embodiment thereof.

[0048] In a fifth aspect, the present invention provides a computer program product, including computer instructions, which are used to enable a computer to execute the battery performance testing method of the first aspect or any corresponding embodiment thereof. BRIEF DESCRIPTION OF THE DRAWINGS

[0049] In order to more clearly illustrate the specific implementation methods of the present invention or the technical solutions in the prior art, the drawings required for use in the specific implementation methods or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are some implementation methods of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0050] Figure 1 is a flow chart of a battery performance testing method according to an embodiment of the present invention;

[0051] Figure 2is a flow chart of another battery performance testing method according to an embodiment of the present invention;

[0052] Figure 3 is a schematic diagram of a curve of F30 / F100 corresponding to different first test times according to an embodiment of the present invention;

[0053] Figure 4 is a schematic diagram of a curve of F0 / F100 corresponding to different first test times according to an embodiment of the present invention;

[0054] Figure 5 is a schematic diagram of a curve of F60 / F100 corresponding to different first test times according to an embodiment of the present invention;

[0055] Figure 6 2 is a schematic diagram of a first capacity decay curve function, a second capacity decay curve function and test data corresponding to a 45° C. cycle according to an embodiment of the present invention;

[0056] Figure 7 is a structural block diagram of a battery performance testing device according to an embodiment of the present invention;

[0057] Figure 8 It is a schematic diagram of the hardware structure of the electronic device according to an embodiment of the present invention. DETAILED DESCRIPTION

[0058] In order to make the purpose, technical solution and advantages of the embodiments of the present invention clearer, the technical solution 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 described embodiments are 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 those skilled in the art without creative work are within the scope of protection of the present invention.

[0059] With the popularity of electric vehicles, the requirements for battery performance are getting higher and higher. As an important performance indicator of the battery, the critical test number directly affects the battery's service life and reliability. The battery critical test number can be used to characterize the number of tests at which the battery's capacity decay drops sharply, that is, the battery's capacity decay rate before the battery critical test is less than the battery's capacity decay rate after the battery critical test.

[0060] However, there is no absolutely reliable method to accurately determine the critical test times of batteries. This is because the critical test times of batteries are affected by many factors, such as battery materials, manufacturing processes, and usage conditions.

[0061] Therefore, how to determine the critical test times of the battery and then determine whether the battery meets the standards is an urgent problem to be solved.

[0062] Based on the above problems, the battery performance testing method provided in the embodiment of the present application obtains the first test times and the first test data corresponding to each first test times after the target battery is subjected to the preset preload force condition and the preset number of charge and discharge cycle tests, thereby ensuring the accuracy of each first test times and each first test data corresponding to the target battery under the preset preload force condition. Based on the first test data corresponding to each first test time, the test data corresponding to the second test time of the target battery after the preset number of times is predicted, and the preset test data is generated, thereby ensuring the accuracy of the generated preset test data. The second test data obtained after the target battery is subjected to the second test number of charge and discharge cycle tests is obtained. Then, according to the preset test data and the second test data, the second test time is determined to be the critical test time corresponding to the performance critical value of the target battery, thereby ensuring the accuracy of the determined critical test time, and then the target battery can be detected according to the critical test time corresponding to the performance critical value of the target battery to determine whether it meets the regulations. The detection of the same batch of batteries is realized. The above method is easy to calculate and has strong universality.

[0063] It should be noted that the execution subject of the battery performance test method provided in the embodiment of the present application may be a device for battery performance testing, and the device for battery performance testing may be implemented as part or all of an electronic device through software, hardware, or a combination of software and hardware, wherein the electronic device may be a server or a terminal, wherein the server in the embodiment of the present application may be a single server or a server cluster composed of multiple servers, and the terminal in the embodiment of the present application may be a smart phone, a personal computer, a tablet computer, a wearable device, an intelligent robot, and other intelligent hardware devices. In the following method embodiments, the execution subject is an electronic device as an example for explanation.

[0064] According to an embodiment of the present invention, an embodiment of a battery performance testing method is provided. It should be noted that the steps shown in the flowchart of the accompanying drawings can be executed in a computer system such as a set of computer executable instructions, and although a logical order is shown in the flowchart, in some cases, the steps shown or described can be executed in an order different from that shown here.

[0065] In this embodiment, a battery performance testing method is provided, which can be used for the above-mentioned electronic device. Figure 1 is a flow chart of a battery performance testing method according to an embodiment of the present invention. Figure 1 As shown, the process includes the following steps:

[0066] Step S101, obtaining each first test number and first test data corresponding to each first test number after a target battery is subjected to a preset number of charge-discharge cycle tests under a preset preload condition.

[0067] Optionally, the electronic device can receive the target battery input by the user, after the target battery performs a preset number of charge and discharge cycle tests under preset preload conditions, and the obtained first test times and first test data corresponding to each first test times; the electronic device can also receive the target battery sent by other devices, after the target battery performs a preset number of charge and discharge cycle tests under preset preload conditions, and the obtained first test times and first test data corresponding to each first test times.

[0068] The electronic device can also perform a preset number of charge-discharge cycle tests on the target battery under a preset preload condition based on the charge-discharge test cabinet. Then, the charge-discharge test cabinet generates each first test number corresponding to the target battery and first test data corresponding to each first test number. The charge-discharge test cabinet adopts step charging during the charging process of the target battery.

[0069] The embodiment of the present application does not specifically limit the manner in which the electronic device obtains each first test number and first test data corresponding to each first test number after performing a preset number of charge and discharge cycle tests on the target battery under a preset preload condition.

[0070] The preset number of times may be 500 times, 550 times, or other times. The embodiment of the present application does not specifically limit the preset number of times.

[0071] Exemplarily, assuming the preset number of times is 500 times, the electronic device can obtain the first test data corresponding to each charge and discharge cycle test after the target battery is subjected to 500 charge and discharge cycle tests under the preset preload force condition, that is, the first test data corresponding to the first charge and discharge cycle test, the first test data corresponding to the second charge and discharge cycle test, ..., the first test data corresponding to the 500th charge and discharge cycle test.

[0072] Step S102, based on the first test data corresponding to each first test number, predict the test data corresponding to the second test number of the target battery after the preset number of times, and generate preset test data.

[0073] Specifically, the electronic device can train a test data prediction model based on the corresponding relationship between each first test number and each first test data. Then, the electronic device inputs the second test number into the test data prediction model, and the test data prediction model outputs the preset test data.

[0074] This step will be described in detail below.

[0075] Step S103, obtaining second test data obtained after the target battery is subjected to a second test number of charge and discharge cycle tests.

[0076] Optionally, the electronic device may receive the second test data obtained after the target battery input by the user undergoes a second test number of charge-discharge cycle tests. The electronic device may also receive the second test data obtained after the target battery undergoes a second test number of charge-discharge cycle tests sent by other devices.

[0077] Optionally, the electronic device may also perform a second test number of charge and discharge cycle tests on the target battery based on the charge and discharge test cabinet to obtain second test data transmitted by the charge and discharge test cabinet.

[0078] The embodiment of the present application does not specifically limit the manner in which the second test data is obtained after the electronic device obtains the target battery and performs the charge and discharge cycle test for the second test number of times.

[0079] Step S104, determining the second test number as a critical test number corresponding to the performance critical value of the target battery according to the preset test data and the second test data.

[0080] Among them, the critical test number corresponding to the performance critical value is used to characterize that the capacity decay rate of the target battery after the critical test number is greater than the capacity decay rate of the target battery before the critical test number, that is, the performance of the target battery after the critical test number will be lower than the performance of the target battery before the critical test number.

[0081] Specifically, the electronic device may compare the preset test data with the second test data, and then determine, based on the comparison result, that the second test number is a critical test number corresponding to the critical value of the performance of the target battery.

[0082] The battery performance testing method provided in the embodiment of the present application obtains each first test number and the first test data corresponding to each first test number after the target battery is subjected to a preset number of charge and discharge cycle tests under a preset preload condition, thereby ensuring the accuracy of each first test number and each first test data corresponding to the target battery under the preset preload condition. Based on the first test data corresponding to each first test number, the test data corresponding to the second test number of the target battery after the preset number of times is predicted, and the preset test data is generated, thereby ensuring the accuracy of the generated preset test data. The second test data obtained after the target battery is subjected to the second number of charge and discharge cycle tests is obtained. Then, according to the preset test data and the second test data, the second test number is determined to be the critical test number corresponding to the performance critical value of the target battery, thereby ensuring the accuracy of the determined critical test number, and then the target battery can be detected according to the critical test number corresponding to the performance critical value of the target battery. The detection of the same batch of batteries is realized. The above method is easy to calculate and has strong universality.

[0083] In this embodiment, a battery performance testing method is provided, which can be used for the above-mentioned electronic device. Figure 2 is a flow chart of a battery performance testing method according to an embodiment of the present invention. Figure 2 As shown, the process includes the following steps:

[0084] Step S201, obtaining each first test number and first test data corresponding to each first test number after a target battery is subjected to a preset number of charge-discharge cycle tests under a preset preload condition.

[0085] For details about this step, please refer to the above description of step S101, which will not be elaborated here.

[0086] Step S202 , based on the first test data corresponding to each first test number, predict the test data corresponding to the second test number of the target battery after the preset number of times, and generate preset test data.

[0087] Specifically, the first test data includes first battery expansion force data, and the preset test data includes a predicted battery expansion force ratio; the above step S202 may include the following steps:

[0088] Step S2021, calculating the first battery expansion force ratio corresponding to each first test number based on the first battery expansion force data corresponding to each first test number.

[0089] Specifically, the above step S2021 may include the following steps:

[0090] Step a1, based on the first battery expansion force data corresponding to each first test number, determining a first expansion force maximum value corresponding to the target battery within a first preset state of charge range and a second expansion force maximum value corresponding to the target battery within a second preset state of charge range.

[0091] The first preset state of charge range belongs to the second preset state of charge range.

[0092] Specifically, the electronic device can identify the first battery expansion force data corresponding to each first test number, and determine the first expansion force maximum value corresponding to the target battery within the first preset state of charge range and the second expansion force maximum value corresponding to the target battery within the second preset state of charge range.

[0093] Exemplarily, the first preset state of charge range can be 0%-30%, or 0%-33%, or 5%-30%, and the second preset state of charge range can be 0%-100%, or 5%-90%, or 0%-95%. The embodiments of the present application do not specifically limit the first preset state of charge range and the second preset state of charge range.

[0094] Step a2: dividing the first expansion force maximum value by the second expansion force maximum value to calculate the first battery expansion force ratio corresponding to each first test number.

[0095] Specifically, the electronic device may calculate the first battery expansion force ratio corresponding to each first test number by dividing the first expansion force maximum value by the second expansion force maximum value.

[0096] In an optional embodiment of the present application, the electronic device can identify the first battery expansion force data corresponding to each first test number, determine the maximum expansion force F100 in the entire charging process, the minimum expansion force F0 in the entire charging process, the maximum expansion force F30 in 0% to 30% SOC, and the minimum expansion force F60 in 30% to 60% SOC, and analyze the ratio α (F0 / F100, F30 / F100, F60 / F100, F60 / F30) between the above extreme values. As shown in Table 1 below, the expansion force extreme value data corresponding to different test times are shown.

[0097] Table 1 Expansion force extreme value data corresponding to different test times

[0098] Number of tests 1 100 200 300 400 500 600 700 800 F0 1383 3718 4272 4838 5215 5735 6429 7910 10339 F30 3624 7322 7989 8631 8980 9514 10197 11475 13757 F60 3043 5726 6351 6957 7327 7818 8507 9886 12284 F100 4790 7897 8395 8868 9136 9553 10197 11475 13757 F0 / F100 28.9％ 47.1％ 50.9％ 54.6％ 57.1％ 60.0％ 63.0％ 68.9％ 75.2％ F30 / F100 75.7％ 92.7％ 95.2％ 97.3％ 98.3％ 99.6％ 100.0％ 100.0％ 100.0％ F60 / F100 63.5％ 72.5％ 75.7％ 78.5％ 80.2％ 81.8％ 83.4％ 86.2％ 89.3％

[0099] For example, Figure 3 As shown in FIG. , it is a curve diagram of F30 / F100 corresponding to different first test times. Figure 4 As shown in FIG. 1 , it is a schematic diagram of the curve of F0 / F100 corresponding to different first test times; Figure 5 As shown in the figure, it is a schematic diagram of the curve of F60 / F100 corresponding to different first test times. Among them, in the first 500 tests, the trends of F0 / F100, F30 / F100, and F60 / F100 all have a certain linear trend. After 600 cycles, the trend has an inflection point, which is particularly obvious in F30 / F100. In addition, Figure 3 It can be seen that the linear relationship between F30 / F100 and the number of tests has a fitting degree of >96%. After 600 tests, the linear fitting degree is <95%. This change also corresponds to the inflection point of the cycle capacity attenuation. The linear fitting degree of F0 / F100 and F60 / F100 in the first 500 tests and the first 600 tests is slightly different.

[0100] Therefore, in the embodiment of the present application, the maximum value of the first expansion force may be F30, and the maximum value of the second expansion force may be F100.

[0101] Step S2022: based on the correspondence between each first test number and each first battery expansion force ratio, a first fitting function between each first test number and each first battery expansion force ratio is generated by fitting.

[0102] Specifically, the electronic device may generate a first fitting function between each first test number and each first battery expansion force ratio based on the corresponding relationship between each first test number and each first battery expansion force ratio by using a preset fitting method.

[0103] Among them, the preset fitting method can be a linear fitting method, a polynomial fitting method, or other fitting methods. The embodiment of the present application does not specifically limit the preset fitting method.

[0104] Exemplarily, the first fitting function may be as follows:

[0105] y=ax+b(1)

[0106] Wherein, x is the first test number, y is the first battery expansion force ratio corresponding to each first test number, and a and b are both non-zero constants.

[0107] Step S2023, inputting the second test number into the first fitting function to generate a predicted battery expansion force ratio.

[0108] Specifically, the electronic device may input the second test number into the first fitting function to generate a predicted battery expansion force ratio.

[0109] Step S203, obtaining second test data obtained after the target battery is subjected to a second test number of charge and discharge cycle tests.

[0110] For details about this step, please refer to the above description of step S103, which will not be elaborated here.

[0111] Step S204, determining the second test number as a critical test number corresponding to the performance critical value of the target battery according to the preset test data and the second test data.

[0112] The critical test number corresponding to the performance critical value is used to characterize that the capacity decay rate of the target battery after the critical test number is greater than the capacity decay rate of the target battery before the critical test number.

[0113] Specifically, the second test data includes second battery expansion force data, and the above step S204 includes:

[0114] Step S2041, calculating a second battery expansion force ratio corresponding to a second number of test times according to the second battery expansion force data.

[0115] Specifically, the electronic device can identify the second battery expansion force data corresponding to the second test number, and determine the third expansion force maximum value corresponding to the target battery within the first preset state of charge range and the fourth expansion force maximum value corresponding to the target battery within the second preset state of charge range.

[0116] Exemplarily, the first preset state of charge range can be 0%-30%, or 0%-33%, or 5%-30%, and the second preset state of charge range can be 0%-100%, or 5%-90%, or 0%-95%. The embodiments of the present application do not specifically limit the first preset state of charge range and the second preset state of charge range.

[0117] Then, the electronic device may calculate a second battery expansion force ratio corresponding to the second test number by dividing the third expansion force maximum value by the fourth expansion force maximum value.

[0118] Step S2042, subtracting the second battery expansion force ratio from the predicted battery expansion force ratio to obtain an expansion force ratio deviation.

[0119] Specifically, the electronic device may subtract the second battery expansion force ratio from the predicted battery expansion force ratio to obtain an expansion force ratio deviation.

[0120] Step S2043, if the expansion force ratio deviation is greater than the preset deviation threshold, determining the second test number as the critical test number corresponding to the performance critical value of the target battery.

[0121] In an optional implementation, the electronic device may receive a preset deviation threshold value input by a user, or may receive a preset deviation threshold value sent by other devices, and the electronic device may also set the preset deviation threshold value according to actual conditions. The embodiment of the present application does not specifically limit the manner in which the electronic device obtains the preset deviation threshold value.

[0122] Then, the electronic device compares the expansion force ratio deviation with a preset deviation threshold, and if the expansion force ratio deviation is greater than the preset deviation threshold, determines that the second test number is a critical test number corresponding to the performance critical value of the target battery.

[0123] Specifically, the first test data further includes first battery capacity retention rate data, and the second test data further includes second battery capacity retention rate data. The above step S2043 may include the following steps:

[0124] Step b1, if the expansion force ratio deviation is greater than a preset deviation threshold, based on the relationship between the first battery capacity retention rate data and the second battery capacity retention rate data, determine that the second test number is the critical test number corresponding to the performance critical value of the target battery.

[0125] In an optional embodiment, if the expansion force ratio deviation is greater than a preset deviation threshold, the electronic device may compare the first battery capacity retention rate data with the second battery capacity retention rate data. If the second battery capacity retention rate data is less than the first battery capacity retention rate data, the second test number is determined to be the critical test number corresponding to the performance critical value of the target battery.

[0126] In another optional embodiment, the above step b1 of “determining the second test number as the critical test number corresponding to the performance critical value of the target battery based on the relationship between the first battery capacity retention rate data and the second battery capacity retention rate data” may include the following steps:

[0127] Step b11, based on the corresponding relationship between each first test number and each first battery capacity retention rate data, a first capacity decay curve function is obtained by fitting based on the Arrhenius model.

[0128] Specifically, the electronic device may obtain the first capacity decay curve function based on the Arrhenius model fitting based on the corresponding relationship between each first test number and each first battery capacity retention rate data.

[0129] Exemplarily, the first capacity decay curve function may be as follows:

[0130] Y=1-B*t^z(2)

[0131] Among them, t is the number of tests, z is the exponential factor, and B is the attenuation coefficient.

[0132] Step b12, based on the correspondence between at least two second test times and the second battery capacity retention rate data, obtain a second capacity decay curve function based on Arrhenius model fitting.

[0133] Specifically, the electronic device may obtain the second capacity decay curve function based on the Arrhenius model fitting based on the correspondence between at least two second test times and the second battery capacity retention rate data.

[0134] Step b13: determining, based on the first capacity decay curve function and the second capacity decay curve function, that the second test number is a critical test number corresponding to the performance critical value of the target battery.

[0135] Specifically, the above step b13 may include the following steps:

[0136] Step b131, obtaining a first exponential factor in the first capacity decay curve function.

[0137] Specifically, the electronic device may identify the first capacity decay curve function and determine a first exponential factor in the first capacity decay curve function.

[0138] Step b132, obtaining a second exponential factor in the second capacity decay curve function.

[0139] Specifically, the electronic device may identify the second capacity decay curve function and determine a second exponential factor in the second capacity decay curve function.

[0140] Step b133, calculating the growth rate of the second exponential factor relative to the first exponential factor.

[0141] Specifically, the electronic device may calculate a growth rate of the second exponential factor relative to the first exponential factor based on the first exponential factor and the second exponential factor.

[0142] Step b134, if the growth rate is greater than the preset growth rate threshold, determining the second test number as the critical test number corresponding to the performance critical value of the target battery.

[0143] Specifically, the electronic device can receive a preset growth rate threshold value input by a user, or can receive a preset growth rate threshold value sent by other devices, and can also set the preset growth rate threshold value according to actual conditions. The embodiment of the present application does not specifically limit the manner in which the electronic device obtains the preset growth rate threshold value.

[0144] Exemplarily, the preset growth rate threshold may be 30% or 29%. The embodiment of the present application does not specifically limit the preset growth rate threshold.

[0145] Then, the electronic device compares the growth rate with a preset growth rate threshold, and if the growth rate is greater than the preset growth rate threshold, determines that the second test number is a critical test number corresponding to the performance critical value of the target battery.

[0146] For example, Figure 6As shown, it is a schematic diagram of the first capacity decay curve function, the second capacity decay curve function and the test data corresponding to the 45°C cycle. Among them, the preset number of times is 500 times, and the electronic device can obtain the first capacity decay curve function by fitting the relationship: Y = 1-B*t^z according to the first battery capacity retention rate data corresponding to the first 500 test times. Confirm that the exponential factor corresponding to the first capacity decay curve function is z = 0.52. Then, the electronic device obtains the second capacity decay curve function according to the second battery capacity retention rate data corresponding to the 500-600 test times by fitting the relationship: Y = 1-B*t^z. Confirm that the exponential factor corresponding to the first capacity decay curve function is z = 0.71. It can be seen from the curve that the capacity retention rate drops rapidly after 600 cycles (the second capacity decay curve function (z = 0.71) represents the exponential factor under the decay trend of the 500-600 test times; the second capacity decay curve function (z = 0.52) represents the exponential factor under the decay trend of the first 500 test times). By simply observing the cycle capacity decay curve, it can be seen that the decay trend around 500-600 cycles accelerates to a certain extent (exponential factor from 0.52→0.71, growth rate H>30%). Therefore, the electronic device determines the 660th test number as the critical test number corresponding to the performance critical value of the target battery.

[0147] The battery performance test provided in the embodiment of the present application determines the maximum first expansion force corresponding to the target battery within the first preset state of charge range and the maximum second expansion force corresponding to the target battery within the second preset state of charge range based on the first battery expansion force data corresponding to each first test number; the first expansion force maximum value is divided by the second expansion force maximum value to calculate the first battery expansion force ratio corresponding to each first test number, thereby ensuring the accuracy of the calculated first battery expansion force ratio corresponding to each first test number. Based on the corresponding relationship between each first test number and the first battery expansion force ratio, a first fitting function between each first test number and each first battery expansion force ratio is fitted to ensure the accuracy of the generated first fitting function. The second test number is input into the first fitting function to generate a predicted battery expansion force ratio, thereby ensuring the accuracy of the generated predicted battery expansion force ratio.

[0148] Then, according to the second battery expansion force data, the second battery expansion force ratio corresponding to the second test number is calculated; the second battery expansion force ratio is subtracted from the predicted battery expansion force ratio to obtain the expansion force ratio deviation; if the expansion force ratio deviation is greater than the preset deviation threshold, the electronic device determines that the second battery expansion force ratio corresponding to the second test number is reduced, and then, based on the corresponding relationship between each first test number and each first battery capacity retention rate data, the first capacity decay curve function is fitted based on the Arrhenius model to ensure the accuracy of the fitted first capacity decay curve function. Based on the corresponding relationship between at least two second test numbers and the second battery capacity retention rate data, the second capacity decay curve function is fitted based on the Arrhenius model to ensure the accuracy of the fitted second capacity decay curve function. The first exponential factor in the first capacity decay curve function is obtained; the second exponential factor in the second capacity decay curve function is obtained; the growth rate of the second exponential factor relative to the first exponential factor is calculated to ensure the accuracy of the calculated growth rate. If the growth rate is greater than the preset growth rate threshold, the second test number is determined to be the critical test number corresponding to the performance critical value of the target battery, ensuring the accuracy of the determined critical test number.

[0149] In this embodiment, a battery performance test device is also provided, which is used to implement the above-mentioned embodiments and preferred embodiments, and the descriptions that have been made will not be repeated. As used below, the term "module" can implement a combination of software and / or hardware of a predetermined function. Although the devices described in the following embodiments are preferably implemented in software, the implementation of hardware, or a combination of software and hardware, is also possible and conceivable.

[0150] This embodiment provides a battery performance testing device, such as Figure 7 As shown, including:

[0151] A first acquisition module 301 is used to acquire each first test number and first test data corresponding to each first test number after the target battery is subjected to a preset number of charge-discharge cycle tests under a preset preload condition;

[0152] A prediction module 302, configured to predict test data corresponding to a second test number of the target battery after a preset number of times based on the first test data corresponding to each first test number of times, and generate preset test data;

[0153] A second acquisition module 303 is used to acquire second test data obtained after the target battery is subjected to a second test number of charge and discharge cycle tests;

[0154] Determination module 304 is used to determine that the second test number is the critical test number corresponding to the performance critical value of the target battery based on the preset test data and the second test data; the critical test number corresponding to the performance critical value is used to characterize that the performance of the target battery after the critical test number corresponding to the performance critical value will be lower than the performance of the target battery before the critical test number corresponding to the performance critical value.

[0155] In some optional embodiments, the first test data includes first battery expansion force data; the preset test data includes predicted battery expansion force ratio; the prediction module 302 is specifically used to calculate the first battery expansion force ratio corresponding to each first test number based on the first battery expansion force data corresponding to each first test number; based on the corresponding relationship between each first test number and the first battery expansion force ratio, fit and generate a first fitting function between each first test number and each first battery expansion force ratio; the second test number is input into the first fitting function to generate a predicted battery expansion force ratio.

[0156] In some optional embodiments, the prediction module 302 is specifically used to determine, based on the first battery expansion force data corresponding to each first test number, a first expansion force maximum value corresponding to the target battery within a first preset state of charge range and a second expansion force maximum value corresponding to the target battery within a second preset state of charge range; wherein the first preset state of charge range belongs to the second preset state of charge range; and the first battery expansion force ratio corresponding to each first test number is calculated by dividing the first expansion force maximum value by the second expansion force maximum value.

[0157] In some optional embodiments, the second test data includes second battery expansion force data; a determination module 304 is specifically used to calculate a second battery expansion force ratio corresponding to a second test number according to the second battery expansion force data; subtract the second battery expansion force ratio from the predicted battery expansion force ratio to obtain an expansion force ratio deviation; if the expansion force ratio deviation is greater than a preset deviation threshold, determining that the second test number is a critical test number corresponding to a performance critical value of the target battery.

[0158] In some optional embodiments, the first test data also includes first battery capacity retention rate data, and the second test data also includes second battery capacity retention rate data; the determination module 304 is specifically used to determine that the second test number is a critical test number corresponding to the performance critical value of the target battery based on the relationship between the first battery capacity retention rate data and the second battery capacity retention rate data if the expansion force ratio deviation is greater than a preset deviation threshold.

[0159] In some optional embodiments, the determination module 304 is specifically used to obtain a first capacity decay curve function based on the Arrhenius model fitting based on the correspondence between each first test number and each first battery capacity retention rate data; obtain a second capacity decay curve function based on the Arrhenius model fitting based on the correspondence between at least two second test numbers and the second battery capacity retention rate data; and determine that the second test number is a critical test number corresponding to the performance critical value of the target battery based on the first capacity decay curve function and the second capacity decay curve function.

[0160] In some optional embodiments, the determination module 304 is specifically used to obtain a first exponential factor in a first capacity decay curve function; obtain a second exponential factor in a second capacity decay curve function; calculate a growth rate of the second exponential factor relative to the first exponential factor; if the growth rate is greater than a preset growth rate threshold, determine that the second test number is a critical test number corresponding to a critical performance value of the target battery.

[0161] The further functional description of each of the above modules and units is the same as that of the above corresponding embodiments and will not be repeated here.

[0162] The battery performance testing device in this embodiment is presented in the form of a functional unit, where the unit refers to an ASIC (Application Specific Integrated Circuit) circuit, a processor and memory that executes one or more software or fixed programs, and / or other devices that can provide the above functions.

[0163] The embodiment of the present invention also provides an electronic device having the above Figure 7 The battery performance test apparatus shown.

[0164] See also Figure 8 , Figure 8 is a schematic diagram of the structure of an electronic device provided by an optional embodiment of the present invention, such as Figure 8As shown, the electronic device includes: one or more processors 10, a memory 20, and interfaces for connecting various components, including high-speed interfaces and low-speed interfaces. The various components are connected to each other using different buses for communication, and can be installed on a common mainboard or installed in other ways as needed. The processor can process instructions executed in the electronic device, including instructions stored in or on the memory to display graphical information of the GUI on an external input / output device (such as a display device coupled to the interface). In some optional embodiments, if necessary, multiple processors and / or multiple buses can be used together with multiple memories and multiple memories. Similarly, multiple electronic devices can be connected, and each device provides some necessary operations (for example, as a server array, a group of blade servers, or a multi-processor system). Figure 8 A processor 10 is taken as an example.

[0165] The processor 10 may be a central processing unit, a network processor or a combination thereof. The processor 10 may further include a hardware chip. The hardware chip may be a dedicated integrated circuit, a programmable logic device or a combination thereof. The programmable logic device may be a complex programmable logic device, a field programmable gate array, a general purpose array logic or any combination thereof.

[0166] The memory 20 stores instructions executable by at least one processor 10, so that at least one processor 10 executes the method shown in the above embodiment.

[0167] The memory 20 may include a program storage area and a data storage area, wherein the program storage area may store an operating system, an application required for at least one function; the data storage area may store data created according to the use of the electronic device, etc. In addition, the memory 20 may include a high-speed random access memory, and may also include a non-transient memory, such as at least one disk storage device, a flash memory device, or other non-transient solid-state storage device. In some optional embodiments, the memory 20 may optionally include a memory remotely arranged relative to the processor 10, and these remote memories may be connected to the electronic device via a network. Examples of the above-mentioned network include, but are not limited to, the Internet, an intranet, a local area network, a mobile communication network, and combinations thereof.

[0168] The memory 20 may include a volatile memory, such as a random access memory; the memory may also include a non-volatile memory, such as a flash memory, a hard disk or a solid state drive; the memory 20 may also include a combination of the above types of memory.

[0169] The electronic device further includes an input device 30 and an output device 40. The processor 10, the memory 20, the input device 30 and the output device 40 may be connected via a bus or other means. Figure 8 The example of connecting through bus is taken in the following.

[0170] The input device 30 can receive input digital or character information, and generate key signal input related to the user settings and function control of the electronic device, such as a touch screen, a keypad, a mouse, a track pad, a touch pad, an indicator rod, one or more mouse buttons, a trackball, a joystick, etc. The output device 40 may include a display device, an auxiliary lighting device (e.g., an LED) and a tactile feedback device (e.g., a vibration motor), etc. The above-mentioned display device includes but is not limited to a liquid crystal display, a light emitting diode, a display and a plasma display. In some optional embodiments, the display device can be a touch screen.

[0171] The embodiment of the present invention also provides a computer-readable storage medium. The method according to the embodiment of the present invention can be implemented in hardware, firmware, or can be implemented as a computer code that can be recorded in a storage medium, or can be implemented as a computer code that is originally stored in a remote storage medium or a non-temporary machine-readable storage medium and will be stored in a local storage medium through a network download, so that the method described herein can be stored in such software processing on a storage medium using a general-purpose computer, a dedicated processor, or programmable or dedicated hardware. Among them, the storage medium can be a magnetic disk, an optical disk, a read-only storage memory, a random access memory, a flash memory, a hard disk or a solid-state hard disk, etc.; further, the storage medium can also include a combination of the above types of memories. It can be understood that a computer, a processor, a microprocessor controller, or programmable hardware includes a storage component that can store or receive software or computer code. When the software or computer code is accessed and executed by a computer, a processor, or hardware, the method shown in the above embodiment is implemented.

[0172] A part of the present invention may be applied as a computer program product, such as a computer program instruction, which, when executed by a computer, can call or provide the method and / or technical solution according to the present invention through the operation of the computer. Those skilled in the art should understand that the existence of the computer program instruction in a computer-readable medium includes, but is not limited to, a source file, an executable file, an installation package file, etc., and accordingly, the way in which the computer program instruction is executed by the computer includes, but is not limited to: the computer directly executes the instruction, or the computer compiles the instruction and then executes the corresponding compiled program, or the computer reads and executes the instruction, or the computer reads and installs the instruction and then executes the corresponding installed program. Here, the computer-readable medium may be any available computer-readable storage medium or communication medium accessible to the computer.

[0173] Although the embodiments of the present invention have been described in conjunction with the accompanying drawings, those skilled in the art may make various modifications and variations without departing from the spirit and scope of the present invention, and such modifications and variations are all within the scope defined by the appended claims.

Claims

1. A battery performance testing method, characterized in that: The method comprises: Obtaining each first test number and first test data corresponding to each first test number after the target battery is subjected to a preset number of charge-discharge cycle tests under a preset preload force condition; Based on the first test data corresponding to each of the first test times, predicting the test data corresponding to the second test times of the target battery after the preset times, to generate preset test data; Acquire second test data obtained after the target battery is subjected to a second test number of charge and discharge cycle tests; According to the preset test data and the second test data, the second test number is determined to be the critical test number corresponding to the performance critical value of the target battery; the critical test number corresponding to the performance critical value is used to characterize that the capacity decay rate of the target battery after the critical test number is greater than the capacity decay rate of the target battery before the critical test number.

2. The method according to claim 1, characterized in that The first test data includes first battery expansion force data; the preset test data includes a predicted battery expansion force ratio; the test data corresponding to a second test number of the target battery after the preset number of times is predicted based on the first test data corresponding to each of the first test times to generate the preset test data, including: Calculating first battery expansion force ratios corresponding to each of the first test times based on the first battery expansion force data corresponding to each of the first test times; Based on the corresponding relationship between each of the first test times and the first battery expansion force ratio, a first fitting function between each of the first test times and the first battery expansion force ratio is generated by fitting; The second test number is input into the first fitting function to generate the predicted battery expansion force ratio.

3. The method according to claim 2, characterized in that The calculating, based on the first battery expansion force data corresponding to each of the first test times, the first battery expansion force ratio corresponding to each of the first test times includes: Based on the first battery expansion force data corresponding to each of the first test times, determining a first expansion force maximum value corresponding to a first preset state of charge range of the target battery and a second expansion force maximum value corresponding to a second preset state of charge range of the target battery; wherein the first preset state of charge range belongs to the second preset state of charge range; The first battery expansion force ratio corresponding to each of the first test times is calculated by dividing the first expansion force maximum value by the second expansion force maximum value.

4. The method according to claim 2, characterized in that: The second test data includes second battery expansion force data; and determining, according to the preset test data and the second test data, that the second test number is a critical test number corresponding to a critical performance value of the target battery, comprises: Calculating a second battery expansion force ratio corresponding to the second test number according to the second battery expansion force data; subtracting the second battery expansion force ratio from the predicted battery expansion force ratio to obtain an expansion force ratio deviation; If the expansion force ratio deviation is greater than a preset deviation threshold, the second test number is determined to be a critical test number corresponding to a critical performance value of the target battery.

5. The method according to claim 4, characterized in that The first test data further includes first battery capacity retention rate data, and the second test data further includes second battery capacity retention rate data; if the expansion force ratio deviation is greater than a preset deviation threshold, determining the second test number as a critical test number corresponding to the performance critical value of the target battery includes: If the expansion force ratio deviation is greater than a preset deviation threshold, based on the relationship between the first battery capacity retention rate data and the second battery capacity retention rate data, the second test number is determined to be the critical test number corresponding to the performance critical value of the target battery.

6. The method according to claim 5, characterized in that The determining, based on the relationship between the first battery capacity retention rate data and the second battery capacity retention rate data, that the second test number is a critical test number corresponding to the performance critical value of the target battery includes: Based on the corresponding relationship between each of the first test times and each of the first battery capacity retention rate data, a first capacity decay curve function is obtained by fitting based on the Arrhenius model; Based on the correspondence between at least two of the second test times and the second battery capacity retention rate data, a second capacity decay curve function is obtained by fitting based on the Arrhenius model; Based on the first capacity decay curve function and the second capacity decay curve function, the second test number is determined to be the critical test number corresponding to the performance critical value of the target battery.

7. The method according to claim 6, characterized in that The determining, based on the first capacity decay curve function and the second capacity decay curve function, that the second test number is a critical test number corresponding to the performance critical value of the target battery includes: Obtaining a first exponential factor in the first capacity decay curve function; Obtaining a second exponential factor in the second capacity decay curve function; calculating the growth rate of the second exponential factor relative to the first exponential factor; If the growth rate is greater than a preset growth rate threshold, the second test number is determined to be the critical test number corresponding to the performance critical value of the target battery.

8. A battery performance testing device, characterized in that: The device comprises: A first acquisition module, used to acquire each first test number and first test data corresponding to each first test number obtained after the target battery is subjected to a preset number of charge-discharge cycle tests under a preset preload condition; A prediction module, configured to predict test data corresponding to a second test number of the target battery after the preset number of times based on the first test data corresponding to each of the first test numbers, and generate preset test data; A second acquisition module, used to acquire second test data obtained after the target battery is subjected to a second test number of charge and discharge cycle tests; A determination module is used to determine that the second test number is a critical test number corresponding to the performance critical value of the target battery based on the preset test data and the second test data; the critical test number corresponding to the performance critical value is used to characterize that the capacity decay rate of the target battery after the critical test number is greater than the capacity decay rate of the target battery before the critical test number.

9. An electronic device, characterized in that: include: A memory and a processor, wherein the memory and the processor are communicatively connected to each other, the memory stores computer instructions, and the processor executes the battery performance testing method according to any one of claims 1 to 7 by executing the computer instructions.

10. 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 computer to execute the battery performance testing method according to any one of claims 1 to 7.

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