Battery operation parameter determination method for battery charging and discharging and related equipment thereof

Abstract

The invention provides a battery operation parameter determination method for battery charging and discharging and related equipment thereof. The method comprises the steps that target influence parameters influencing battery operation parameters of a to-be-tested battery, a target distribution range of the target influence parameters and a response model of the battery operation parameters are acquired, and the response model is a model based on the incidence relation between the target influence parameters and the battery operation parameters in the battery charging and discharging process; determining a target value corresponding to the target influence parameter from a target distribution range corresponding to the target influence parameter; and according to the target value and the response model, determining a target operation parameter of the to-be-tested battery under the condition that the target influence parameter is the target value.

Description

Technical Field

[0001] The present application relates to the technical field of batteries, and particularly to a method for determining battery operating parameters during battery charging and discharging and related devices. Background Art

[0002] In recent years, the new energy vehicle industry in China has developed rapidly. As one of the core components of new energy vehicles, the installed capacity of power batteries has also been increasing continuously. To ensure that the power battery system has good safety performance and electrical performance, manufacturers will carry out a series of work such as thermal simulation, mechanical simulation, and life simulation during the product R & D stage. As an indispensable part of many simulation works, the role of thermal simulation is to predict the possible thermal problems that may occur in the battery system during actual use, and optimize the thermal management strategy accordingly to ensure the stable operation of the battery system.

[0003] In the related art, a large number of actual measurements are required for the battery operating parameters of battery charging and discharging used for thermal simulation. The implementation of testing requires a large amount of testing resources and a long testing cycle, resulting in high testing costs and low testing efficiency. Summary of the Invention

[0004] Embodiments of the present application provide a method for determining battery operating parameters during battery charging and discharging and related devices, which can improve the technical problems of high testing costs and low testing efficiency.

[0005] In a first aspect, embodiments of the present application provide a method for determining battery operating parameters during battery charging and discharging, including:

[0006] Obtain a target influence parameter that affects the battery operating parameters of the battery to be tested, a target distribution range of the target influence parameter, and a response model of the battery operating parameters, where the response model is a model of the correlation relationship between the target influence parameter and the battery operating parameters during the battery charging and discharging process;

[0007] Determine a target value corresponding to the target influence parameter from the target distribution range corresponding to the target influence parameter;

[0008] According to the target value and the response model, determine the target operating parameters of the battery to be tested when the target influence parameter is the target value.

[0009] In a second aspect, embodiments of the present application provide a device for determining battery operating parameters during battery charging and discharging, including:

[0010] A first acquisition unit, configured to acquire a target influence parameter that affects the battery operation parameters of a battery under test, a target distribution range of the target influence parameter, and a response model of the battery operation parameters, where the response model is a model of the correlation relationship between the target influence parameter and the battery operation parameters during the charge and discharge process of the battery;

[0011] A first determination unit, configured to determine a target value corresponding to the target influence parameter from the target distribution range corresponding to the target influence parameter;

[0012] A second determination unit, configured to determine the target operation parameters of the battery under test when the target influence parameter is the target value according to the target value and the response model.

[0013] In a third aspect, an embodiment of the present application provides a computer-readable storage medium, on which a computer program is stored, and when the computer program is executed by a processor, the steps of the method described in the first aspect are implemented.

[0014] In a fourth aspect, an embodiment of the present application provides a computer device, on which a computer program is stored, and when the computer program is executed by a processor, the steps of the method described in the first aspect are implemented.

[0015] In a fifth aspect, an embodiment of the present application provides a computer program product, including a computer program or instruction, and when the computer program or instruction is executed by a processor, the steps of the method described in the first aspect are implemented.

[0016] Advantageous effects of the embodiments of the present application:

[0017] In the embodiments of the present application, by determining the target value corresponding to the target influence parameter from the target distribution range corresponding to the target influence parameter that affects the battery operation parameters of the battery under test; and then determining the target operation parameters of the battery under test when the target influence parameter is the target value through the response model of the battery operation parameters obtained by a small number of actual measurements, the number of actual measurements can be effectively reduced, the test time and test resources can be saved, the test efficiency can be improved, and the test cost can be reduced. BRIEF DESCRIPTION OF THE DRAWINGS

[0018] In order to more clearly illustrate the technical solutions in the embodiments of the present application, the following will briefly introduce the drawings required for the description of the embodiments. Obviously, the following drawings are only some embodiments of the present application. For those skilled in the art, without creative efforts, other drawings can also be obtained based on these drawings.

[0019] Figure 1 It is a schematic flowchart of a method for determining battery operation parameters during battery charge and discharge provided by an embodiment of the present application;

[0020] Figure 2 It is a schematic diagram of a device for determining battery operation parameters during battery charging and discharging provided by an embodiment of the present application;

[0021] Figure 3 It is a three-dimensional schematic diagram of a computer device provided by an embodiment of the present application. Specific Embodiments

[0022] Next, the technical solutions in the embodiments of the present application will be clearly and completely described in conjunction with the accompanying drawings in the embodiments of the present application. Obviously, the described embodiments are only a part of the embodiments of the present application, rather than all the embodiments. Based on the embodiments in the present application, all other embodiments obtained by those skilled in the art without creative efforts fall within the protection scope of the present application.

[0023] In the related art, a large number of actual measurements are required for the battery operation parameters during battery charging and discharging for thermal simulation. Implementing the tests requires a large amount of test resources and a long test cycle, resulting in high test costs and low test efficiency.

[0024] For example, when carrying out thermal simulation work, it is necessary to obtain the direct current internal resistance (DCIR) matrix of battery cells, that is, a data set of all the direct current internal resistances of battery cells at different temperatures, different states of charge (SOC), different charging / discharging times, and different charging / discharging currents. The conventional method for obtaining the DCIR matrix is to actually measure the single cells using the hybrid pulse power method. Although this method is widely used, it still has many defects:

[0025] 1. There are hundreds of direct current internal resistance points that need to be actually measured in the DCIR matrix. Measuring all of them requires a large amount of test resources and a very large workload;

[0026] 2. The test cycle is long. It is very difficult to meet the requirements of thermal simulation for direct current internal resistance parameters in a timely manner during the R & D stage, and there is a high risk of delay in obtaining thermal simulation results;

[0027] 3. The test conditions of the actual hybrid pulse power test carried out and the granularity of the states (temperature, SOC, charging / discharging time, charging / discharging current) of the direct current internal resistance required for thermal simulation work are not completely aligned, resulting in a certain deviation between the simulation results and the actual situation, which is not conducive to scientifically adjusting the thermal management strategy of the battery system.

[0028] In view of this, the present application provides a method, an apparatus, a computer device, a computer-readable storage medium, and a computer program product for determining battery operation parameters during battery charging and discharging. By determining the target value corresponding to the target influencing parameter from the target distribution range of the target influencing parameter that affects the battery operation parameters of the battery to be measured, and then determining the target operation parameters of the battery to be measured when the target influencing parameter is the target value through a response model of the battery operation parameters obtained by a small number of actual measurements, the number of actual measurements can be effectively reduced, the test time and test resources can be saved, the test efficiency can be improved, and the test cost can be reduced.

[0029] The following will be described in detail with reference to the accompanying drawings respectively. It should be noted that the description order of the following embodiments does not limit the preferred order of the embodiments. Although the logical order is shown in the flowchart, in some cases, the steps shown or described may be executed in a different order from that shown in the drawings.

[0030] Please refer to Figure 1 , a method for determining battery operation parameters during battery charging and discharging is provided. This method is applicable to a computer device. Hereinafter, taking this method applied to a computer device as an example for illustration, this method includes steps 101 to 103:

[0031] 101. Obtain the target influencing parameter that affects the battery operation parameters of the battery to be measured, the target distribution range of the target influencing parameter, and the response model of the battery operation parameters. The response model is a model of the correlation relationship between the target influencing parameter and the battery operation parameters during the battery charging and discharging process.

[0032] Among them, the battery operation parameters may include the charging DC resistance, the discharging DC resistance, the charging power, and the discharging power. In the present application, the discharging DC resistance is used as an example to introduce and illustrate the battery operation parameters. The target influencing parameters may include temperature, SOC, charge and discharge time, and charge and discharge current. The response model may include the response model of the battery internal resistance.

[0033] The type and the target distribution range of the target influencing parameter that affects the battery operation parameters of the battery to be measured may be determined in advance. For example, the target influencing parameter that affects the battery operation parameters of the battery to be measured may be determined by analyzing the regression coefficients and significance tests in the model. For the detailed content, please refer to the following specific embodiments.

[0034] The target distribution range may be determined according to the actual use conditions of the battery. The response model may be set in advance and stored in the target storage object. The computer device may obtain or use the response model by calling or reading.

[0035] 102. Determine the target value corresponding to the target influencing parameter from the target distribution range of the target influencing parameter.

[0036] The target influence parameters include multiple target influence parameters. Determining the target value corresponding to a target influence parameter from the target distribution range corresponding to the target influence parameter includes: determining the target value corresponding to each target influence parameter from the target distribution range corresponding to each target influence parameter respectively.

[0037] 103. Determine the target operating parameter of the battery under test when the target influence parameter is the target value according to the target value and the response model.

[0038] Among them, the target value can include multiple target values corresponding to multiple target influence parameters. The multiple target values can be in the form of an array, for example, the coordinates of a target point in a multi-dimensional coordinate system.

[0039] In one embodiment, determining the target operating parameter of the battery under test when the target influence parameter is the target value according to the target value and the response model may include: inputting the multiple target values corresponding to the multiple target influence parameters into the response model, and through calculation by the response model, obtaining the target operating parameter of the battery under test when the multiple target influence parameters are the corresponding target values.

[0040] In the above embodiment, by determining the target value corresponding to the target influence parameter from the target distribution range corresponding to the target influence parameter that affects the battery operating parameter of the battery under test; and then determining the target operating parameter of the battery under test when the target influence parameter is the target value through the response model of the battery operating parameters obtained by a small number of actual measurements, the number of actual measurements can be effectively reduced, the test time and test resources can be saved, the test efficiency can be improved, and the test cost can be reduced.

[0041] In some embodiments, obtaining the response model of the battery operating parameter includes: identifying the pending influence parameter that affects the battery operating parameter of the battery under test and the distribution range of the pending influence parameter; determining the test parameter value corresponding to the pending influence parameter according to the pending influence parameter and the distribution range; performing charge and discharge tests on at least one parallel sample of the battery under test based on the test parameter value to obtain test results; and determining the response model of the battery operating parameter according to the test parameter value and the test results.

[0042] During the test process, the key factors that affect the battery operating parameter will be pre-screened, but the specific influence magnitude of these key factors on the battery operating parameter has not been determined yet and further research and analysis are needed. These key factors before determining the final target influence parameter are the pending influence parameters.

[0043] The distribution range of the to-be-determined influence parameter can be determined according to the actual usage conditions of the battery. For example, when selecting temperature as the to-be-determined influence parameter, the battery can be set in different temperature ranges for testing to detect whether the battery can operate, so as to determine the target temperature range in which the battery can operate, and the distribution range of this temperature corresponds to the target temperature range.

[0044] Parallel samples usually refer to using multiple identical battery samples for measurement and analysis during an experiment or test to ensure the reliability and consistency of the results. This reduces errors caused by the differences of individual battery samples, thereby improving the accuracy and stability of parameter identification.

[0045] The number of at least one parallel sample can be two, three or more than three, and its specific number can be determined according to actual needs.

[0046] In the above embodiments, after determining the to-be-determined influence parameter and the distribution range of the to-be-determined influence parameter, according to the to-be-determined influence parameter and the distribution range of the to-be-determined influence parameter, determine the test parameter value corresponding to the to-be-determined influence parameter; then based on the test parameter value, perform charge and discharge tests on at least one parallel sample of the to-be-tested battery, so that the test result can be obtained through a small number of actual measurements; then according to the test parameter value and the test result, determine the response model of the battery operating parameters. The whole process has few actual measurement times, consumes less time and less resources, and provides a more convenient option for calculating the target operating parameters of the to-be-tested battery when the target influence parameter is the target value.

[0047] In some embodiments, the step of determining the test parameter value corresponding to the to-be-determined influence parameter according to the to-be-determined influence parameter and the distribution range of the to-be-determined influence parameter includes: determining different parameter levels of the to-be-determined influence parameter according to the distribution range of the to-be-determined influence parameter; based on the to-be-determined influence parameter and the distribution range, use a preset experimental model to generate the test parameter values of the to-be-determined influence parameter at different parameter levels.

[0048] Among them, the preset experimental model can be the Box-Behnken experimental model. This Box-Behnken experimental model is a response surface method (RSM) and can be used to optimize multi-factor processes. It is a three-level, incomplete three-factor design. By conducting experiments on each factor at three levels, extreme combination points (i.e., corner points) are avoided, thereby reducing the number of experiments and improving the experimental efficiency.

[0049] Specifically, the different parameter levels of the to-be-determined influence parameter can be determined by the Box-Behnken experimental model according to the distribution range of the to-be-determined influence parameter.

[0050] The test parameter values of the to-be-determined influence parameter at different parameter levels can also be generated by inputting the to-be-determined influence parameter and the distribution range of the to-be-determined influence parameter into the Box-Behnken experimental model.

[0051] In the above embodiments, by using the Box-Behnken experimental model to analyze the to-be-determined influence parameter and the distribution range of the to-be-determined influence parameter, the test parameter values of the to-be-determined influence parameter at different parameter levels are obtained, avoiding extreme combination methods, reducing the number of experiments, and improving the test efficiency.

[0052] To better illustrate the present solution, the present application provides a specific embodiment. During the test, the discharge DC resistance is selected as the battery operation parameter, and the temperature, SOC, discharge time, and discharge current are selected as the to-be-determined influence parameters; and the distribution ranges of the to-be-determined influence parameters are determined respectively. The temperature distribution range is -20°C to 50°C, the SOC distribution range is 5% to 95%, the discharge time distribution range is 10s to 30s, and the discharge current distribution range is 1C to 2C (30A to 60A); inputting the to-be-determined influence parameter and the to-be-determined influence parameter into the Box-Behnken experimental model, the test parameter values of the to-be-determined influence parameter at different parameter levels can be obtained, as shown in Table 1 below:

[0053]

[0054] In some embodiments, performing charge and discharge tests on at least one parallel sample of the battery to be tested based on the test parameter values to obtain test results includes: generating different test parameter schemes based on the test parameter values of the to-be-determined influence parameter at different parameter levels; using the test parameter schemes to perform charge and discharge tests on at least one parallel sample of the battery to be tested to obtain test results.

[0055] Generating different test parameter schemes based on the test parameter values of the to-be-determined influence parameter at different parameter levels may include combining the test parameter values of the to-be-determined influence parameter at different parameter levels to obtain multiple different test parameter schemes.

[0056] In the above embodiments, different test parameter schemes are first generated based on the test parameter values of the to-be-determined influence parameter at different parameter levels; then, by using a small number of test parameter schemes to perform charge and discharge tests on at least one parallel sample of the battery to be tested, the test results are obtained quickly, improving the test efficiency and saving the test cost.

[0057] In some embodiments, the to-be-determined influence parameters include to-be-determined temperature, to-be-determined SOC, to-be-determined charge-discharge time, and to-be-determined charge-discharge current; each test parameter scheme includes one to-be-determined temperature, one to-be-determined SOC, one to-be-determined charge-discharge time, and one to-be-determined charge-discharge current; using the test parameter scheme to perform charge-discharge tests on at least one parallel sample of the battery to be tested, and obtaining test results, including: performing capacity calibration on at least one parallel sample of the battery to be tested in a normal temperature environment to obtain the actual battery capacity, and determining a current value according to the actual battery capacity; adjusting the SOC of the parallel sample to the to-be-determined SOC according to the current value; adjusting the temperature of the normal temperature environment to the to-be-determined temperature; using a target pulse current to charge and discharge at least one parallel sample of the battery to be tested to the to-be-determined charge-discharge time, and measuring to obtain a test result; after standing for a first preset time, continue the test using the next test parameter scheme.

[0058] Among them, the temperature of the normal temperature environment is 25°C, and its capacity, current value, to-be-determined SOC, to-be-determined temperature, and charge-discharge time can all be set according to actual needs.

[0059] In the above embodiments, by selecting and setting multiple parameters during the charge-discharge test of the battery, the accuracy of the parameters set during the test is ensured, and the accuracy of the test is improved.

[0060] In some embodiments, when at least one parallel sample is multiple parallel samples, the test results under the same test parameter scheme are all taken as the average value of the test results of the multiple parallel samples as the final test result.

[0061] In the above embodiments, by taking the average value of the test results of multiple parallel samples as the final test result, the accuracy, reliability, and representativeness of the test results are improved, while reducing the influence of random errors and operation errors, and meeting the requirements of relevant standards.

[0062] For the convenience of test description, in the following specific embodiments, a discharge test is performed on the battery to test the DC internal resistance of the battery.

[0063] In a specific embodiment, the steps of performing capacity calibration on at least one parallel sample of the battery to be tested in a normal temperature environment to obtain the actual battery capacity are as shown in Table 2 below:

[0064]

[0065]

[0066] In a specific embodiment, the steps of determining a current value according to the actual battery capacity and adjusting the SOC of the parallel sample to the to-be-determined SOC are as shown in Table 3 below:

[0067] Serial number Test content 1 Adjust the ambient temperature to 25 ± 2°C 2 Let it stand for 1 h 3 Adjust the battery to the target SOC with a current of 0.33C 4 Adjust the ambient temperature to the target temperature 5 Let it stand for 2 h

[0068] In a specific embodiment, at least one parallel sample of the battery to be tested is charged and discharged to the to-be-determined charge and discharge time by using a target pulse current, and a test result is measured; after standing for a first preset time, the next test parameter scheme is used to continue the test until all test results are obtained. The specific test scheme and test results are shown in Table 4 below:

[0069]

[0070]

[0071] In Table 4 above, Z is the discharge DC internal resistance of the battery, and the calculation method of Z is as follows in Equation (1):

[0072] Z = (V1 - V2) / I (1)

[0073] where V1 is the voltage at the last acquisition point in the standing step before pulse discharge, V2 is the voltage at the last acquisition point in the pulse discharge step, and I is the pulse current.

[0074] In some embodiments, determining the response model of the battery operating parameters according to the test parameter values and the test results includes: associating each test parameter scheme obtained according to the test parameter values with the corresponding test result to form multiple groups of test data; the test results include the test battery operating parameters; obtaining an initial response model of the correlation relationship between the to-be-determined influence parameters and the test battery operating parameters during the battery charge and discharge process; and inputting the multiple groups of test data into the initial response model for regression fitting processing to obtain a to-be-determined response model of the battery operating parameters.

[0075] Among them, the initial response model can select a second-order response surface model, and the expression of its model is as follows in Equation (2):

[0076] Z = α0 + α1A + α2B + α3C + α4D + α 12 AB + α 13 AC + α 14 AD + α 23 BC + α 24 BD +

[0077] α 34 CD + α 11 A2 + α 22 B2 + α 33 C2 + α 44 D2(2)

[0078] where α0 is a constant term, αi is the linear coefficient, α ii is the quadratic term coefficient, α ij is the interaction term coefficient, where 1 ≤ i ≤ 4 and 1 ≤ j ≤ 4.

[0079] In a specific embodiment, multiple sets of test data are input into the initial response model for regression fitting to obtain a pending response model of the battery operating parameters. That is, the multiple sets of test data in Table 4 above are input into the initial response model for regression fitting to obtain a pending response model of the battery operating parameters. The pending response model is as shown in Equation (3) below:

[0080] Z = 13.10078 - 0.14153A - 0.22022B + 7.53968E-03C - 0.061378D + 6.71429E-04AB - 8.28571E-04AC - 4.76190E-05AD - 6.88889E-04BC + 1.85185E-05BD + 1.66667E-05CD + 1.03741E-03A 2 + 1.54424E-03B 2 + 1.98333E-03C 2 + 7.53704E-04D 2 (3)

[0081] In some embodiments, after obtaining the pending response model of the battery operating parameters, it further includes: testing the pending response model of the battery operating parameters to obtain test data; when the test data indicates that the pending response model meets the preset test requirements, determining the pending response model as the response model; if the test data indicates that the pending response model does not meet the preset test requirements, re-determining the pending response model.

[0082] Among them, the test requirements can be preset, and the test requirements can be to detect whether the pending response model meets the significance.

[0083] In the above embodiments, by testing the pending response model, a response model that meets the preset test requirements is determined, improving the reliability of the response model.

[0084] In some embodiments, the testing the pending response model of the battery operating parameters to obtain test data may include: performing an analysis of variance and / or significance analysis on the pending response model of the battery operating parameters to obtain an analysis result.

[0085] Specifically, a preset analysis program can be used, such as Design-expert 10.0.3.

[0086] In a specific embodiment, the analysis results are shown in Table 5 below:

[0087]

[0088]

[0089] In Table 5 above, the F value represents the ratio of the mean square to the sum of the mean square of errors, which is mainly used to determine whether the variance term of this row is statistically significant; the P value is the probability of an impossible event occurring, used to test the significance of the influence of the variance term on the response value. When P ≤ 0.01, it is proved to be very significant. When P ≤ 0.05, it is proved to be significant. When P > 0.05, it is proved to be not significant.

[0090] By analyzing Table 5 above, among them, the P value of the 19. second-order response surface model (Model) is less than 0.01, and it is determined that the model has extremely high significance, that is, the model can correctly reflect the true relationship between each independent variable and the response value, and the experimental design is reliable. The P value of the lack of fit term is 0.0514, indicating that the lack of fit phenomenon of the model is not significant, indicating that all experimental points can be explained by the model; the multiple correlation coefficient (R2) of the model is 0.9966, approaching 1, indicating that the degree of coincidence between the predicted value of the model and the measured value of the experiment is very high, the experimental error is small, and the goodness of fit of the model is high; the adjusted multiple correlation coefficient (Adj-R2) is 0.9932, meaning that 99.32% of the variation of the response value can be explained by this model, and the unexplained part only accounts for 0.68% of the total variation, which also shows that the model has good goodness of fit; through the above parameters, it is proved from multiple aspects that this response model is effective and there is no need to redesign the test.

[0091] In one embodiment, the response model is a model with the target influence parameters during the charge and discharge process of the battery as independent variables and the battery operating parameters as response values; the determining of the target operating parameters of the battery under test when the target influence parameter is the target value according to the target value and the response model includes: inputting the target value into the response model, and using the response model to process the target value to obtain the target operating parameters of the battery under test when the target influence parameter is the target value.

[0092] Among them, the response model specifically includes a second-order response curve model.

[0093] In some embodiments, the battery operating parameters include battery internal resistance, the response model of the battery operating parameters includes the response model of battery internal resistance, and the target influence parameters include temperature, SOC, charge and discharge time, and charge and discharge current.

[0094] It should be understood that although the steps in the flowcharts involved in the above embodiments are sequentially shown according to the indication of the arrows, these steps are not necessarily executed in the order indicated by the arrows. Unless there is a clear description in this article, the execution of these steps has no strict order limit, and these steps can be executed in other orders. Moreover, at least a part of the steps in the flowcharts involved in the above embodiments may include multiple steps or multiple stages. These steps or stages are not necessarily executed at the same moment, but can be executed at different moments. The execution order of these steps or stages is not necessarily sequential, but can be executed alternately or in turn with at least a part of other steps or steps or stages in other steps.

[0095] Based on the same inventive concept, an embodiment of the present application further provides a battery operating parameter determination device for battery charge and discharge for implementing the battery operating parameter determination method for battery charge and discharge involved above. The implementation solutions provided by this device to solve problems are similar to the implementation solutions recorded in the above method. Therefore, the specific limitations in one or more embodiments of the battery operating parameter determination device for battery charge and discharge provided below can refer to the limitations on the battery operating parameter determination method for battery charge and discharge in the above text, and will not be repeated here.

[0096] Please refer to Figure 2 , a battery operating parameter determination device 200 for battery charge and discharge is provided. The battery operating parameter determination device for battery charge and discharge can be integrated in a computer device and includes a first acquisition unit 201, a first determination unit 202, and a second determination unit 203. Among them,

[0097] The first acquisition unit 201 is used to acquire a target influence parameter that affects the battery operating parameter of the battery to be measured, a target distribution range of the target influence parameter, and a response model of the battery operating parameter. The response model is a model of the correlation relationship between the target influence parameter and the battery operating parameter during the battery charge and discharge process.

[0098] The first determination unit 202 is used to determine a target value corresponding to the target influence parameter from the target distribution range corresponding to the target influence parameter.

[0099] The second determination unit 203 is used to determine a target operating parameter of the battery to be measured when the target influence parameter is the target value according to the target value and the response model.

[0100] In some embodiments, the device is specifically used for:

[0101] Identify a pending influence parameter that affects the battery operating parameter of the battery to be measured and a distribution range of the pending influence parameter;

[0102] Determine the test parameter value corresponding to the to-be-determined influence parameter according to the to-be-determined influence parameter and the distribution range;

[0103] Based on the test parameter value, perform charge and discharge tests on at least one parallel sample of the battery to be tested to obtain test results;

[0104] Determine the response model of the battery operating parameters according to the test parameter value and the test results.

[0105] In some embodiments, the device is specifically configured to:

[0106] Determine different parameter levels of the to-be-determined influence parameter according to the distribution range;

[0107] Based on the to-be-determined influence parameter and the distribution range, use a preset experimental model to generate test parameter values of the to-be-determined influence parameter at different parameter levels.

[0108] In some embodiments, the device is specifically configured to:

[0109] Generate different test parameter schemes based on the test parameter values of the to-be-determined influence parameter at different parameter levels;

[0110] Use the test parameter scheme to perform charge and discharge tests on at least one parallel sample of the battery to be tested to obtain test results.

[0111] In some embodiments, the device is specifically configured to:

[0112] Associate each test parameter scheme obtained according to the test parameter value with the corresponding test result to form multiple groups of test data; the test results include test battery operating parameters;

[0113] Obtain an initial response model of the correlation relationship between the to-be-determined influence parameter and the test battery operating parameters during the charge and discharge process of the battery;

[0114] Input the multiple groups of test data into the initial response model for regression fitting processing to obtain a to-be-determined response model of the battery operating parameters.

[0115] In some embodiments, the device is specifically configured to:

[0116] Test the to-be-determined response model of the battery operating parameters to obtain test data;

[0117] When the verification data indicates that the to-be-determined response model meets the preset verification requirements, determine the to-be-determined response model as the response model;

[0118] If the verification data indicates that the to-be-determined response model does not meet the preset verification requirements, re-determine the to-be-determined response model.

[0119] In some embodiments, the to-be-determined influence parameters include a to-be-determined temperature, a to-be-determined SOC, a to-be-determined charge and discharge time, and a to-be-determined charge and discharge current; each test parameter scheme includes a to-be-determined temperature, a to-be-determined SOC, a to-be-determined charge and discharge time, and a to-be-determined charge and discharge current.

[0120] The device is specifically configured to:

[0121] Calibrate the capacity of at least one parallel sample of the battery to be tested in a normal temperature environment to obtain the actual battery capacity, and determine a current value according to the actual battery capacity.

[0122] Adjust the SOC of the parallel sample to the to-be-determined SOC according to the current value.

[0123] Adjust the temperature of the normal temperature environment to the to-be-determined temperature.

[0124] Charge and discharge at least one parallel sample of the battery to be tested to the to-be-determined charge and discharge time by using a target pulse current, and measure a test result.

[0125] After standing for a first preset time, continue the test by using the next test parameter scheme.

[0126] In some embodiments, the battery operating parameters include the battery internal resistance, the response model of the battery operating parameters includes the response model of the battery internal resistance, and the target influence parameters include temperature, SOC, charge and discharge time, and charge and discharge current.

[0127] Each module in the above devices can be implemented in whole or in part by software, hardware, and their combination. Each of the above modules can be embedded in or independent of the processor in the control device in the form of hardware, or stored in the memory of the computer device in the form of software, so that the processor can call and execute the operations corresponding to each of the above modules.

[0128] Correspondingly, an embodiment of the present application further provides a computer device, and the computer device can be a terminal device or a server.

[0129] As Figure 3 shown, Figure 3The structural schematic diagram of the computer device provided by the embodiment of the present application. The computer device 1200 includes a processor 1201 having one or more processing cores, a memory 1202 having one or more computer-readable storage media, and a computer program stored on the memory 1202 and executable on the processor. Among them, the processor 1201 is electrically connected to the memory 1202. Those skilled in the art can understand that the structure of the computer device shown in the figure does not constitute a limitation on the computer device, and it may include more or fewer components than shown, or combine certain components, or have different component arrangements.

[0130] The processor 1201 is the control center of the computer device 1200, connecting various parts of the entire computer device 1200 through various interfaces and lines. By running or loading software programs and / or units stored in the memory 1202, and by calling the data stored in the memory 1202, it executes various functions of the computer device 1200 and processes data, thereby monitoring the entire computer device 1200. The processor 1201 can be a central processing unit (CPU), a graphics processing unit (GPU), a network processor (NP), etc., and can implement or execute the various methods, steps, and logic block diagrams disclosed in the embodiments of the present application.

[0131] In the embodiment of the present application, the processor 1201 in the computer device 1200 will load the instructions corresponding to the processes of one or more application programs into the memory 1202 according to the following steps, and the processor 1201 will run the application programs stored in the memory 1202 to implement various functions, such as: obtaining a target influence parameter that affects the battery operation parameters of the battery to be tested, a target distribution range of the target influence parameter, and a response model of the battery operation parameters, where the response model is a model of the correlation relationship between the target influence parameter and the battery operation parameters during the charging and discharging process of the battery; determining a target value corresponding to the target influence parameter from the target distribution range corresponding to the target influence parameter; and determining the target operation parameters of the battery to be tested when the target influence parameter is the target value according to the target value and the response model. The specific implementation of each of the above operations can be seen in the previous embodiments and will not be repeated here.

[0132] Optionally, as Figure 3 shown, the computer device 1200 further includes: a touch display screen 1203, a radio frequency circuit 1204, an audio circuit 1205, an input unit 1206, and a power supply 1207. Among them, the processor 1201 is electrically connected to the touch display screen 1203, the radio frequency circuit 1204, the audio circuit 1205, the input unit 1206, and the power supply 1207 respectively. Those skilled in the art can understand that Figure 3The computer device structure shown does not constitute a limitation on the computer device, and may include more or fewer components than shown, or combine certain components, or have different component arrangements.

[0133] The touch display screen 1203 can be used to display a graphical user interface and receive operation instructions generated by a user's interaction with the graphical user interface. The touch display screen 1203 may include a display panel and a touch panel. Among them, the display panel can be used to display information input by the user or information provided to the user, as well as various graphical user interfaces of the computer device. These graphical user interfaces can be composed of graphics, text, icons, videos, and any combination thereof. Optionally, the display panel can be configured in the form of a liquid crystal display (LCD), an organic light-emitting diode (OLED), etc. The touch panel can be used to collect touch operations of the user on or near it (such as operations of the user using a finger, a stylus, or any suitable object or accessory on or near the touch panel), and generate corresponding operation instructions, and the operation instructions execute the corresponding program. Optionally, the touch panel can include two parts: a touch detection device and a touch controller. Among them, the touch detection device detects the touch position of the user and detects the signal brought by the touch operation, and transmits the signal to the touch controller; the touch controller receives the touch information from the touch detection device, converts it into contact coordinates, and then sends it to the processor 1201, and can receive and execute commands sent by the processor 1201. The touch panel can cover the display panel. When the touch panel detects a touch operation on or near it, it transmits it to the processor 1201 to determine the type of touch event. Subsequently, the processor 1201 provides a corresponding visual output on the display panel according to the type of touch event. In the embodiments of the present application, the touch panel and the display panel can be integrated into the touch display screen 1203 to implement input and output functions. However, in some embodiments, the touch panel and the touch panel can be implemented as two independent components to implement input and output functions. That is, the touch display screen 1203 can also be used as part of the input unit 1206 to implement the input function.

[0134] The radio frequency circuit 1204 can be used to receive and transmit radio frequency signals to establish wireless communication with a network device or other computer devices through wireless communication, and receive and transmit signals with the network device or other computer devices.

[0135] The audio circuit 1205 can be used to provide an audio interface between the user and the computer device through a speaker and a microphone. The audio circuit 1205 can transmit the electrical signal converted from the received audio data to the speaker, and the speaker converts it into a sound signal for output. On the other hand, the microphone converts the collected sound signal into an electrical signal, which is received by the audio circuit 1205, converted into audio data, and then the audio data is output to the processor 1201 for processing. After that, it is sent through the radio frequency circuit 1204 to, for example, another computer device, or the audio data is output to the memory 1202 for further processing. The audio circuit 1205 may also include an earphone jack to provide communication between the peripheral earphone and the computer device.

[0136] The input unit 1206 can be used to receive input digital, character information or user characteristic information (such as fingerprint, iris, facial information, etc.), and generate keyboard, mouse, joystick, optical or trackball signal inputs related to user settings and function controls.

[0137] The power supply 1207 is used to supply power to each component of the computer device 1200. Optionally, the power supply 1207 can be logically connected to the processor 1201 through a power management system, so as to realize functions such as management of charging, discharging, and power consumption management through the power management system. The power supply 1207 may also include any components such as one or more DC or AC power supplies, a recharge system, a power failure detection circuit, a power converter or inverter, and a power status indicator.

[0138] Although Figure 3 not shown in the figure, the computer device 1200 may also include a camera, a sensor, a Wi-Fi module, a Bluetooth module, etc., which will not be elaborated here.

[0139] In the above embodiments, the descriptions of the respective embodiments have their own emphases. For the parts not detailed in a certain embodiment, reference can be made to the relevant descriptions of other embodiments.

[0140] Those of ordinary skill in the art can understand that all or part of the steps in the above various methods can be completed by instructions, or by controlling relevant hardware through instructions. These instructions can be stored in a computer-readable storage medium and loaded and executed by a processor.

[0141] To this end, an embodiment of the present application provides a computer-readable storage medium, which stores multiple computer programs that can be loaded by a processor to execute any one of the battery operation parameter determination methods for battery charging and discharging provided by the embodiments of the present application. The computer program can execute the following steps of the battery operation parameter determination method for battery charging and discharging: Obtain a target influence parameter that affects the battery operation parameters of the battery to be measured, a target distribution range of the target influence parameter, and a response model of the battery operation parameters, where the response model is a model of the correlation relationship between the target influence parameter and the battery operation parameters during the battery charging and discharging process; Determine a target value corresponding to the target influence parameter from the target distribution range corresponding to the target influence parameter; According to the target value and the response model, determine the target operation parameters of the battery to be measured when the target influence parameter is the target value. For the specific implementation of each of the above operations, reference can be made to the previous embodiments, and details will not be repeated here.

[0142] Among them, the computer-readable storage medium may include: Read Only Memory (ROM), Random Access Memory (RAM), a magnetic disk, an optical disc, etc.

[0143] Since the computer program stored in the computer-readable storage medium can execute any one of the battery operation parameter determination methods for battery charging and discharging provided by the embodiments of the present application, the beneficial effects that can be achieved by any one of the battery operation parameter determination methods for battery charging and discharging provided by the embodiments of the present application can be realized. For details, reference can be made to the previous embodiments, and details will not be repeated here.

[0144] According to one aspect of the present application, a computer program product or a computer program is further provided. The computer program product or the computer program includes computer instructions, and the computer instructions are stored in a computer-readable storage medium. The processor of the computer device reads the computer instructions from the computer-readable storage medium, and the processor executes the computer instructions, so that the computer device executes the methods provided in the various optional implementation manners in the above embodiments.

[0145] In the above embodiments of the device for determining battery operation parameters during battery charging and discharging, computer-readable storage medium, computer device, and computer program product, the descriptions of the various embodiments each have their own focuses. For parts not detailed in a certain embodiment, reference may be made to the relevant descriptions of other embodiments. Those skilled in the art can clearly understand that for the sake of convenience and brevity of description, the specific working processes and beneficial effects brought by the above-described device for determining battery operation parameters during battery charging and discharging, computer-readable storage medium, computer program product, computer device, and their corresponding units can refer to the description of the method for determining battery operation parameters during battery charging and discharging in the above embodiments, and will not be elaborated herein specifically.

[0146] The technical features of the above embodiments can be combined arbitrarily. For the sake of concise description, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, it should be considered to be within the scope described in this specification.

[0147] The above are only the preferred embodiments of the present application, and do not impose any formal restrictions on the present application. Although in the embodiments of the present application, the descriptions of the various embodiments each have their own focuses, and for parts not detailed in a certain embodiment, reference may be made to the relevant embodiments of other embodiments, any simple modification, equivalent change, and modification made to the above embodiments based on the technical essence of the present application without departing from the content of the technical solution of the present application still fall within the scope of the technical solution of the present application.

Claims

1. A method for determining battery operating parameters for battery charging and discharging, characterized in that: include: Obtaining a target influencing parameter that affects a battery operating parameter of the battery to be tested, a target distribution range of the target influencing parameter, and a response model of the battery operating parameter, wherein the response model is a model of the correlation between the target influencing parameter and the battery operating parameter during the battery charging and discharging process; Determining a target value corresponding to the target influence parameter from the target distribution range corresponding to the target influence parameter; According to the target value and the response model, a target operating parameter of the battery to be tested is determined when the target influencing parameter is the target value.

2. The method for determining battery operating parameters of battery charging and discharging according to claim 1, characterized in that: Get the response model of battery operating parameters, including: Identifying undetermined influencing parameters that affect battery operating parameters of the battery to be tested and a distribution range of the undetermined influencing parameters; Determine a test parameter value corresponding to the undetermined influencing parameter according to the undetermined influencing parameter and the distribution range; Performing a charge and discharge test on at least one parallel sample of the battery to be tested based on the test parameter value to obtain a test result; A response model of a battery operating parameter is determined according to the test parameter value and the test result.

3. The method for determining battery operating parameters of battery charging and discharging according to claim 2, characterized in that: The step of determining the test parameter value corresponding to the undetermined influencing parameter according to the undetermined influencing parameter and the distribution range includes: Based on the undetermined influencing parameter and the distribution range, a preset experimental model is used to generate test parameter values ​​of the undetermined influencing parameter at different parameter levels.

4. The method for determining battery operating parameters of battery charging and discharging according to claim 2, characterized in that: The step of performing a charge and discharge test on at least one parallel sample of the battery to be tested based on the test parameter value to obtain a test result includes: Generate different test parameter schemes based on the test parameter values ​​of the undetermined influencing parameters at different parameter levels; Using the test parameter scheme, a charge and discharge test is performed on at least one parallel sample of the battery to be tested to obtain a test result.

5. The method for determining battery operating parameters of battery charging and discharging according to claim 2, characterized in that: Determining a response model of a battery operating parameter according to the test parameter value and the test result includes: Associating each test parameter scheme obtained according to the test parameter value with the corresponding test result to form multiple groups of test data; the test result includes the test battery operating parameters; Acquire an initial response model based on the correlation between the undetermined influencing parameters during the battery charging and discharging process and the test battery operating parameters; Multiple groups of test data are input into the initial response model for regression fitting to obtain the undetermined response model of the battery operating parameters.

6. The method for determining battery operating parameters of battery charging and discharging according to claim 5, characterized in that: After obtaining the undetermined response model of the battery operating parameters, the method further includes: Testing the undetermined response model of the battery operating parameter to obtain test data; When the verification data indicates that the pending response model meets the preset verification requirements, the pending response model is determined to be the response model; If the verification data indicates that the pending response model does not meet the preset verification requirements, the pending response model is re-determined.

7. The method for determining battery operating parameters of battery charging and discharging according to claim 4, characterized in that: The pending influencing parameters include a pending temperature, a pending SOC, a pending charge and discharge time, and a pending charge and discharge current; each test parameter scheme includes a pending temperature, a pending SOC, a pending charge and discharge time, and a pending charge and discharge current; The method of using the test parameter scheme to perform a charge and discharge test on at least one parallel sample of the battery to be tested to obtain a test result includes: Calibrate the capacity of at least one parallel sample of the battery to be tested under normal temperature to obtain the actual capacity of the battery, and determine a current value according to the actual capacity of the battery; adjusting the SOC of the parallel samples to the to-be-determined SOC according to the current value; Adjusting the temperature of the normal temperature environment to the to-be-determined temperature; Using a target pulse current to charge and discharge at least one parallel sample of the battery to be tested to the to-be-determined charge and discharge time, and measuring to obtain a test result; After standing for a first preset time, the test is continued using the next test parameter scheme.

8. The method for determining battery operating parameters of battery charging and discharging according to any one of claims 1 to 7, characterized in that: The battery operating parameters include battery internal resistance, the response model of the battery operating parameters includes a response model of battery internal resistance, and the target influencing parameters include temperature, SOC, charge and discharge time, and charge and discharge current.

9. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the steps of the method according to any one of claims 1 to 8 are implemented.

10. A computer device having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the steps of the method according to any one of claims 1 to 8 are implemented.

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