Cell-to-pack efficiency estimation method for battery, and electronic device and storage medium

Abstract

Provided in the present application are a cell-to-pack efficiency estimation method for a battery, and an electronic device and a storage medium. The method comprises: measuring initial capacities of cells to be subjected to assembly, and performing assembly to obtain a first battery pack; detecting initial SOCs of the cells of the first battery pack, and performing assembly to obtain a second battery pack; simulating the charging and discharging processes of the second battery pack to obtain charging data and discharging data of cells; and determining the cell-to-pack efficiency of the second battery pack on the basis of the charging data, the discharging data and a nominal capacity.

Description

Battery group efficiency estimation method, electronic device and storage medium

[0001] This application claims priority to the Chinese patent application filed with the China Patent Office on August 11, 2023, with application number 202311017365.0. The entire contents of the above application are incorporated by reference into this application. Technical Field

[0002] The present application relates to the field of battery technology, and in particular to a battery group efficiency estimation method, electronic equipment, and storage medium. Background Art

[0003] Due to consistency factors such as internal resistance, capacity, SOC (State of Charge), self-discharge, and temperature, when assembled into a system, the capacity / energy of the system may not be consistent with the cells. This results in a cell-to-pack (CTP) loss factor, also known as pack efficiency. The higher the CTP pack efficiency, the better the consistency between cells. Therefore, accurately estimating the pack efficiency is crucial for improving battery consistency.

[0004] In related technologies, the estimation of battery group efficiency usually takes into account all consistency factors, including internal resistance, capacity, SOC, self-discharge, temperature, etc., and estimates the maximum capacity loss caused by all consistency in the grouping process. As shown in Figure 1, the extreme value method is used, that is, the maximum capacity loss caused by all consistency in the grouping process is estimated to be added up. For example, the minimum value (Min value) of capacity loss caused by test environment and equipment differences is 0.2%, the minimum value of capacity loss caused by storage corresponding to the transportation and storage process is 0.5%, the maximum value (Max value) of capacity loss of system group consistency is 1.5%, and the capacity loss caused by storage or cycling in the process from the system being offline to the customer inspecting the battery is 0.5%. After adding up, the summed result is the total capacity loss, which is 2.7%. The capacity of the battery system after grouping is determined based on the result of the summed calculation, and the battery group efficiency is estimated based on the capacity of the battery system after grouping. SUMMARY OF THE INVENTION

[0005] However, considering all consistency factors, including internal resistance, capacity, SOC, self-discharge, temperature, etc., and estimating the maximum capacity loss caused by all consistency during the grouping process, leads to unscientific calculation results, deviates from the actual grouping efficiency, reduces the accuracy of the battery grouping efficiency estimation, and causes the problem of over-capacity design or under-capacity design after the battery system is grouped.

[0006] The embodiments of the present application provide a battery grouping efficiency estimation method, electronic device, and storage medium, which can improve the technical problem that battery grouping efficiency estimation is complex and inaccurate, resulting in difficulty in maximizing the capacity of the battery system after grouping.

[0007] In a first aspect, an embodiment of the present application provides a method for estimating the group efficiency of batteries. The method for estimating the group efficiency of batteries includes:

[0008] Detecting the initial capacity of the battery cells to be grouped, and grouping the battery cells whose initial capacity meets a preset grouping capacity threshold to obtain a first battery pack, wherein the preset grouping capacity threshold is determined based on the nominal capacity of the battery cells;

[0009] Detecting the initial SOC of each battery cell in the first battery pack, and grouping the battery cells whose initial SOCs meet the preset grouping SOCs to obtain a second battery pack;

[0010] According to a preset charge and discharge strategy, the charge and discharge process of each battery cell in the second battery pack is simulated to obtain charging data and discharging data corresponding to each battery cell;

[0011] The pack efficiency of the second battery pack is determined according to the charging data, the discharging data and the nominal capacity.

[0012] In a second aspect, an embodiment of the present application further provides a battery group efficiency estimation device, the battery group efficiency estimation device comprising:

[0013] a first grouping module, configured to detect the initial capacity of the battery cells to be grouped, and group the battery cells whose initial capacity meets a preset grouping capacity threshold to obtain a first battery pack, wherein the preset grouping capacity threshold is determined based on the nominal capacity of the battery cells;

[0014] A second grouping module is used to detect the initial SOC of each battery cell in the first battery pack, and group the battery cells whose initial SOC meets the preset grouping SOC to obtain a second battery pack;

[0015] A simulation module, configured to simulate the charge and discharge process of each battery cell in the second battery pack according to a preset charge and discharge strategy, and obtain charging data and discharging data corresponding to each battery cell;

[0016] The determination module is used to determine the group efficiency of the second battery pack according to the charging data, the discharging data and the nominal capacity.

[0017] In a third aspect, an embodiment of the present application provides an electronic device, the electronic device comprising:

[0018] one or more processors;

[0019] Memory; and

[0020] One or more application programs, wherein the one or more application programs are stored in the memory and configured to be executed by the processor to implement the steps of any one of the battery group efficiency estimation methods of the first aspect.

[0021] In a fourth aspect, an embodiment of the present application further provides a computer-readable storage medium having a computer program stored thereon, which is loaded by a processor to execute the steps in any one of the battery group efficiency estimation methods of the first aspect.

[0022] In a fifth aspect, the present application further provides a computer program product, comprising a computer program / instruction, which, when executed by a processor, is used to execute the steps in the battery group efficiency estimation method described in any one of the first aspects. Beneficial effects

[0023] Beneficial effects of the embodiments of the present application:

[0024] In an embodiment of the present application, by detecting the initial capacity of the battery cells to be grouped, the battery cells whose initial capacity meets the preset grouping capacity threshold are grouped to obtain a first battery pack, wherein the preset grouping capacity threshold is determined according to the nominal capacity of the battery cells; detecting the initial SOC of each battery cell in the first battery pack, and the battery cells whose initial SOC meets the preset grouping SOC are grouped to obtain a second battery pack; according to the preset charge and discharge strategy, the charge and discharge process of each battery cell in the second battery pack is simulated to obtain the charging data and discharge data corresponding to each battery cell; according to the charging data, discharge data and discharge data, the battery pack is connected to the battery pack; and the battery pack is connected to the battery pack. The grouping efficiency of the second battery pack is determined based on the electrical data and the nominal capacity. This embodiment takes into account the capacity and SOC, reducing the interference of factors such as internal resistance, temperature difference and self-discharge on the battery grouping efficiency estimation and the resulting redundant calculations. By simulating the charging and discharging process of the second battery pack, a simulation test of the battery pack is achieved, which improves the accuracy of the charging and discharging data. The grouping efficiency can be estimated by a simple calculation based on the charging data, discharging data and the nominal capacity, which greatly improves the efficiency and scientific rationality of the grouping efficiency estimation and avoids underestimation or overestimation of product capabilities by using the extreme value method. BRIEF DESCRIPTION OF THE DRAWINGS

[0025] In order to more clearly illustrate the technical solutions in the embodiments of the present application, the following briefly introduces the drawings required for use in the description of the embodiments. Obviously, the drawings described below are only some embodiments of the present application. For those skilled in the art, other drawings can be obtained based on these drawings without creative work.

[0026] FIG1 is a schematic diagram of estimating battery group efficiency using the extreme value method in the background art of this application;

[0027] FIG2 is a flow chart of an embodiment of a method for estimating battery group efficiency provided in an embodiment of the present application;

[0028] FIG3 is a schematic structural diagram of an embodiment of a device for estimating battery group efficiency provided in an embodiment of the present application;

[0029] FIG4 is a schematic structural diagram of an embodiment of an electronic device provided in an embodiment of the present application. Modes for Carrying Out the Invention

[0030] FIG2 is a flow chart of an embodiment of a method for estimating the group efficiency of batteries according to an embodiment of the present application. The method for estimating the group efficiency of batteries includes:

[0031] 101. Detect the initial capacity of the battery cells to be grouped, and group the battery cells whose initial capacity meets a preset grouping capacity threshold to obtain a first battery pack, wherein the preset grouping capacity threshold is determined based on the nominal capacity of the battery cells.

[0032] The cells to be grouped can be multiple cells from a single production batch or multiple production batches. The initial capacity refers to the capacity of the cells when they come off the production line. This capacity can be the actual capacity or the normalized capacity that is a normalization of the actual capacity.

[0033] The preset grouping capacity threshold refers to a pre-set capacity range used to screen cells whose initial capacity meets the grouping conditions. For example, the preset grouping capacity threshold is 100%-104% of the nominal capacity of the cells to be grouped, where the nominal capacity of the cells to be grouped is the smallest rated capacity among the rated capacities of the multiple cells to be grouped. The first battery pack is a battery pack assembled from cells whose initial capacity meets the preset grouping capacity threshold.

[0034] Specifically, the corresponding initial capacity can be obtained by identifying the nameplate information of the battery cell, and then, according to the capacity grouping standard, the battery cells whose initial capacity meets the preset grouping capacity threshold are randomly assembled into the first battery pack. Therefore, the initial capacity of the battery cells in the first battery pack all meets the preset grouping capacity threshold, that is, the consistency of the initial capacity of the battery cells in the first battery pack meets the grouping conditions. In this embodiment, the battery cells are screened and grouped according to their initial capacity, and the influence of the capacity of the battery cells on the calculation of the battery SOC is fully considered. The capacity of the battery cells is analyzed as an influencing factor of consistency, and at the same time, it is ensured that the consistency of the initial capacity of the battery cells in the first battery pack meets the grouping conditions, which is conducive to improving the accuracy of subsequent battery grouping efficiency estimation.

[0035] 102. Detect the initial SOC of each battery cell in the first battery pack, and group the battery cells whose initial SOCs meet a preset grouping SOC to obtain a second battery pack.

[0036] The initial capacity refers to the SOC of the battery cells in the first battery pack when they are offline. For example, the initial SOC is 30%, 30.01%, 30.03%, 31%, etc.

[0037] The preset SOC for a battery pack is a pre-set range of SOCs used to screen cells whose initial SOCs meet the matching criteria. For example, the preset SOC for a battery pack is 100%-103.4% of the smallest initial SOC among the initial SOCs corresponding to the multiple cells in the first battery pack. For example, if the smallest initial SOC is 30%, the preset SOC for a battery pack is 30%-31%. The second battery pack is a battery pack assembled from cells whose initial capacity meets the preset matching capacity threshold and whose initial SOC meets the preset SOC.

[0038] Specifically, the initial SOC of each battery cell in the first battery pack can be measured by the open circuit voltage (OCV) method to obtain the corresponding initial SOC, and then, according to the SOC grouping standard, the battery cells in the first battery pack whose initial SOC meets the preset grouping SOC are randomly assembled into a second battery pack. Therefore, the initial SOC of the battery cells in the second battery pack all meet the preset grouping SOC, that is, the consistency of the initial SOC of the battery cells in the second battery pack meets the grouping conditions. In this embodiment, the battery cells in the first battery pack whose initial SOC meets the preset grouping SOC are randomly assembled into a second battery pack, and the battery cells are screened and grouped according to their initial SOC, fully considering the influence of the SOC of the battery cells on the cut-off control of the battery charge and discharge test, and analyzing the SOC of the battery cells as an influencing factor of consistency. At the same time, it is ensured that the consistency of the initial SOC of the battery cells in the first battery pack meets the grouping conditions, which is conducive to improving the accuracy of subsequent battery grouping efficiency estimation.

[0039] It is worth noting that in this embodiment, the first grouping is performed according to the initial capacity of the battery cells, and the second grouping is performed according to the initial SOC to obtain a second battery pack, so that the second battery pack can be subsequently charged and discharged. By grouping the second battery pack according to the capacity and SOC of the battery cells, the two factors affecting battery consistency, capacity and SOC, are selected, and there is no need to consider other factors such as internal resistance, temperature difference and self-discharge. Compared with the existing technology, all factors affecting consistency are included in the grouping standard, which greatly improves the efficiency of battery cell grouping.

[0040] It should be further explained that the reasons for ignoring internal resistance, temperature difference, and self-discharge are as follows: the test data for both the battery cell and the battery pack already include the internal resistance variable, so the impact of internal resistance on the group efficiency is negligible; temperature factors are beneficial to the battery pack, and the capacity is more easily released, so the impact of temperature difference on the group efficiency is negligible; group efficiency is only applicable to short-term storage, and long-term self-discharge and aging differences can be ignored for group efficiency estimation scenarios. Therefore, this embodiment takes capacity and SOC into consideration to ensure the accuracy of subsequent battery group efficiency estimation, and reduces the interference of factors such as internal resistance, temperature difference, and self-discharge on battery group efficiency estimation and the resulting redundant calculations, greatly improving the efficiency of battery group efficiency estimation.

[0041] 103. According to a preset charge and discharge strategy, simulate the charge and discharge process of each battery cell in the second battery pack to obtain charging data and discharging data corresponding to each battery cell.

[0042] The preset charge and discharge strategy refers to a preset strategy for determining whether the battery should be charged and discharged. For example, the preset charge and discharge strategy may include a condition for stopping charging, a condition for stopping discharging, and the like.

[0043] Specifically, a Monte Carlo simulation method can be used to simulate the charging and discharging process of each battery cell in the second battery pack, that is, to simulate the battery charging and discharging test process. The test can be performed in a virtual charging and discharging manner. The simulation process of the charging and discharging test is specifically as follows: virtual charging is performed according to a preset charging and discharging strategy. After charging is completed, the SOC state of each battery cell in the second battery pack is calculated to obtain charging data. Then, virtual discharging is performed. After discharging is completed, the SOC state of each battery cell in the second battery pack is calculated to obtain discharge data. It can be understood that in this embodiment, by simulating the charging and discharging process of the second battery pack using the Monte Carlo simulation method, a simulation test of the battery pack is achieved, the accuracy of the charging and discharging data is improved, and the charging and discharging process uses a virtual charging method, which saves testing costs.

[0044] 104. Determine the group efficiency of the second battery pack according to the charging data, the discharging data, and the nominal capacity.

[0045] Specifically, the actual discharge capacity of the cells in the second battery pack is determined based on the charging and discharging data. The ratio of this actual discharge capacity to the nominal capacity is the group efficiency of the second battery pack. In this embodiment, the actual discharge capacity is determined based on the charging and discharging data corresponding to each cell in the second battery pack. The group efficiency is estimated based on the actual discharge capacity and the nominal capacity, eliminating the need for extreme value estimation. This simple and fast estimation method improves the accuracy of the group efficiency estimation due to the high accuracy of the charging and discharging data. Compared to the extreme value (maximum or minimum) method, this method improves the efficiency and scientific rationality of the group efficiency estimation and avoids underestimation or overestimation of product capabilities using the extreme value method.

[0046] The above-mentioned battery grouping efficiency estimation method detects the initial capacity of the battery cells to be grouped, groups the battery cells whose initial capacity meets the preset grouping capacity threshold, and obtains a first battery pack, wherein the preset grouping capacity threshold is determined according to the nominal capacity of the battery cells; detects the initial SOC of each battery cell in the first battery pack, groups the battery cells whose initial SOC meets the preset grouping SOC, and obtains a second battery pack; simulates the charge and discharge process of each battery cell in the second battery pack according to the preset charge and discharge strategy, and obtains the charging data and discharge data corresponding to each battery cell; and calculates the charging data according to the charging data. , discharge data and nominal capacity to determine the grouping efficiency of the second battery pack. This embodiment takes capacity and SOC into consideration, reduces the interference of factors such as internal resistance, temperature difference and self-discharge on the battery grouping efficiency estimation and the resulting redundant calculations. By simulating the charging and discharging process of the second battery pack, a simulation test of the battery pack is realized, which improves the accuracy of the charging and discharging data. The grouping efficiency can be estimated by a simple calculation based on the charging data, discharge data and nominal capacity, which greatly improves the efficiency and scientific rationality of the grouping efficiency estimation and avoids underestimation or overestimation of product capabilities by using the extreme value method.

[0047] The preset capacity threshold of the battery pack is [1, 1+a] of the nominal capacity of the battery cell, where 0<a<0.2.

[0048] Specifically, the preset matching capacity threshold is [1, 1+a] of the nominal capacity of the battery cell, where a can be set according to the high standards and actual needs of the current battery production industry. The high standard of the current battery production industry is a consistency difference of 4%, and the smaller a is, the smaller the consistency difference distribution range of the initial capacity of the battery cells to be matched. As a preferred embodiment of this embodiment, a is selected as 0.04, that is, the initial capacity is greater than or equal to the nominal capacity and less than or equal to 104% of the nominal capacity.

[0049] In this embodiment, by setting the preset grouping capacity threshold to [1, 1 + a] times the nominal capacity of the battery cell, where 0 < a < 0.2, the screening of the battery cells is made more accurate and reasonable, which is beneficial to improving the accuracy of the subsequent calculation of the grouping efficiency.

[0050] It should be noted that the preset grouping capacity threshold can be flexibly set according to the actual situation and corresponding adjustments can be made.

[0051] The preset grouping SOC is [b%, (b + c)%], where 0 < b < 90 and 0 < c < 10. Here, the value of b is the minimum initial SOC among the multiple initial SOCs corresponding to the multiple battery cells of the first battery pack.

[0052] Specifically, the preset grouping SOC is [b%, (b + c)%], where 0 < b < 90 and 0 < c < 10. Here, the value of b is the minimum initial SOC among the multiple initial SOCs corresponding to the multiple battery cells of the first battery pack. The value of c can be set according to the high standards and actual requirements of the current battery production industry. For the poor consistency of c%, it can be determined according to the voltage difference, that is, the difference between the voltage corresponding to the initial SOC and the voltage of b. Here, the high standard of the current battery production industry is a consistency difference of 1%. And the smaller c is, the smaller the distribution interval of the consistency difference of the initial SOC of the battery cells for grouping. As a preference of this embodiment, when a is selected as 0.04, that is, the initial capacity is greater than or equal to the nominal capacity and less than or equal to 104% of the nominal capacity, b is selected as 30 and c is selected as 1. That is, the interval of the preset grouping SOC is 30% - 31%. For example, the difference between the voltage corresponding to the initial SOC and the voltage of b is 5 mv.

[0053] In this embodiment, by setting the preset grouping SOC to [b%, (b + c)%], where 0 < b < 90 and 0 < c < 10, and the value of b is the minimum initial SOC among the multiple initial SOCs corresponding to the multiple battery cells of the first battery pack, the screening of the battery cells is made more accurate and reasonable, which is beneficial to improving the accuracy of the subsequent calculation of the grouping efficiency.

[0054] It should be noted that the preset grouping SOC can be flexibly set according to the actual situation and corresponding adjustments can be made.

[0055] The preset charge and discharge strategy includes a preset charging strategy and a preset discharge strategy; according to the preset charge and discharge strategy, the charge and discharge process of each battery cell in the second battery pack is simulated to obtain the charging data and discharge data corresponding to each battery cell, including: simulating the charging process of each battery cell in the second battery pack according to the preset charging strategy to obtain the charging data corresponding to the second battery pack and each battery cell after virtual charging; simulating the discharge process of each battery cell in the second battery pack after virtual charging according to the preset discharge strategy to obtain the discharge data corresponding to each battery cell.

[0056] The preset charging strategy refers to the strategy for performing charge and discharge tests on the battery. For example, the preset charging strategy is to stop the charging test when the SOC of a cell in the second battery pack is 100%. The preset discharging strategy refers to the strategy for performing discharge tests on the battery. For example, the preset discharging strategy is to stop the discharge test when the SOC of a cell in the second battery pack is 0%.

[0057] Specifically, the charging process of each battery cell in the second battery pack is simulated according to the preset charging strategy to obtain the charging data corresponding to the second battery pack and each battery cell after virtual charging. Then, the discharge process of each battery cell in the second battery pack after virtual charging is simulated according to the preset discharge strategy to obtain the discharge data corresponding to each battery cell.

[0058] In this embodiment, the SOC charging test is first performed on each battery cell in the second battery pack, and then the SOC discharge test is performed on the second battery pack that has completed the charging test. This testing process is consistent with the battery production process, so that the obtained charging data and discharge data are closer to the actual data, thereby improving the accuracy of the charging data and discharge data.

[0059] The preset charging strategy is: when the SOC of any cell in the second battery pack reaches full charge, the charging process simulation is stopped.

[0060] Among them, the preset charging strategy is: when the SOC of any battery cell in the second battery pack reaches full charge, the charging process simulation is stopped, that is, when one battery cell is fully charged to 100% SOC, the charging is stopped.

[0061] It is worth noting that when the SOC of any one cell in the second battery pack reaches full charge, at this time, most of the other cells are not fully charged to 100%.

[0062] The preset discharge strategy is: when the SOC of any cell in the second battery pack after virtual charging reaches full discharge, the discharge process simulation is stopped.

[0063] The preset discharge strategy is: when the SOC of any cell in the second battery pack after virtual charging reaches full discharge, that is, when one cell is discharged to 0% SOC, charging is stopped.

[0064] It is worth noting that when the SOC of any cell in the second battery pack after virtual charging reaches full discharge, at this time, most of the other cells are not discharged to 0%.

[0065] Determining the grouping efficiency of the second battery pack according to the charging data, the discharging data and the nominal capacity includes: determining the actual discharge capacity of the second battery pack according to the charging data and the discharging data; and determining the grouping efficiency according to the actual discharge capacity and the nominal capacity.

[0066] The actual discharge capacity refers to the capacity discharged by a cell in the second battery pack during the charge and discharge simulation process.

[0067] Specifically, the cell that is discharged first is determined based on the discharge data. Then, the actual discharge capacity is determined based on the capacity of the cell that is discharged first when charging stops. Next, the ratio of the actual discharge capacity to the nominal capacity is calculated as the group efficiency.

[0068] Determining the actual discharge capacity of the second battery pack according to the charging data and the discharging data includes: determining a fully discharged battery cell according to the discharge data; and determining the charging data of the fully discharged battery cell as the actual discharge capacity.

[0069] Among them, a fully discharged battery cell is a battery cell with a discharge data of SOC=0%, and the charging data corresponding to the battery cell is the actual discharge capacity.

[0070] In one example, the second battery pack has three cells with rated capacities of 100Ah, 101Ah, and 102Ah, respectively, numbered A, B, and C. Before charging, the actual capacities of A, B, and C are 31Ah, 30.3Ah, and 30.62Ah, respectively. After charging, their capacities are 100Ah, 99.3Ah, and 99.62Ah, respectively. After discharging, their capacities are 0.7Ah, 0Ah, and 1.32Ah, respectively. It can be seen from the above data that cell B is fully charged first, and its capacity after charging is 99.3Ah, that is, the actual discharge capacity is 99.3Ah, and the nominal capacity is the smallest rated capacity among A, B, and C, that is, 100Ah. Therefore, the group efficiency = 99.3 / 100 = 99.3%.

[0071] After determining the grouping efficiency of the second battery pack according to the charging data, the discharging data and the nominal capacity, the method further includes: obtaining the grouping efficiency of multiple batches of the second battery packs; and performing statistical calculations on the grouping efficiency to obtain statistical grouping efficiency.

[0072] Specifically, the grouping efficiency corresponding to each of the second battery packs of multiple batches is obtained, and then the grouping efficiency is statistically calculated, such as taking the average value calculation, the median calculation, the weighted average calculation, the minimum value, etc., to obtain the statistical grouping efficiency, thereby further improving the accuracy of the statistical grouping efficiency.

[0073] It also includes: determining the battery pack grouping process standards based on statistical grouping efficiency and battery pack design requirements.

[0074] Specifically, since the statistical grouping efficiency has high accuracy, the grouping process standard of the battery pack is determined according to the design requirements of the battery pack, so that the designed battery can fully exert the performance of each battery cell in the battery pack.

[0075] In one example, as shown in Table 1, the data of the initial capacity and initial SOC of the battery cells in the second battery pack are shown, where the number of battery cell strings is 96, the initial capacity consistency difference of the battery cells is 4% normally distributed, and the initial SOC consistency difference is 1% evenly distributed. The initial capacity and initial SOC in the second battery pack are randomly generated, where the initial capacity is the normalized capacity of the battery cells. The battery cell data in Table 1 can be calculated according to steps 101-104 to obtain a grouping efficiency of 99.41% for the second battery pack.

[0076] Table 1. Data on initial capacity and initial SOC of the cells in the second battery pack

[0077] Cell No. Initial Capacity (Normalized Capacity) Initial SOC / %Cell No. Initial Capacity (Normalized Capacity) Initial SOC / %Cell No. Initial Capacity (Normalized Capacity) Initial SOC / %11.01830.678331.00231.030651.01930.56921.00530.658341.01230.777661.01130.24431.01930.449351.01430.006671.02430.09241.01430.516361.02130.534681.03130.63151.01730.661371.01930.569 691.01430.09261.02030.773381.01731.052701.01731.03471.02530.584391.01830.645711.01630.05981.00930.046401.01630.146721.01430. 34691.01930.426411.01830.992731.01330.240101.02230.163421.02530.948741.01630.836111.01830.084431.02330.735751.02430.110121.01 930.206441.02230.069761.01830.959131.02630.217451.01830.500771.01230.734141.01730.043461.00730.568781.03630.435151.01630.157 471.02530.875791.02730.131161.01630.981481.01130.454801.02530.806171.02230.240491.02330.364811.01630.222181.02131.042501.0173 0.289821.02530.984191.01430.287511.00830.278831.01531.025201.02630.894521.03630.682841.02230.513211.01430.255531.00930.68185 1.02830.472221.02531.053541.02430.429861.01930.900231.02131.060551.01930.049871.01730.757241.01630.820561.01530.396881.03330.805251.01030.181571.02330.533891.02630.404261.03030.461581.02530.553901.02930.239271.02630.245591.02730.489911.02030.786281.01730.237601.01930.857921.02630.70 3291.02330.794611.01630.031931.02330.350301.02830.275621.01130.788941.02030.581311.01930.398631.01630.663951.02430.012321.02330.801641.01730.014961.02430.844.

[0078] In order to better implement the battery group efficiency estimation method in the embodiment of the present application, based on the battery group efficiency estimation method, the embodiment of the present application further provides a battery group efficiency estimation device. As shown in FIG3 , the battery group efficiency estimation device 200 includes:

[0079] The first grouping module 201 is configured to detect the initial capacity of the battery cells to be grouped, and group the battery cells whose initial capacity meets a preset grouping capacity threshold to obtain a first battery pack, wherein the preset grouping capacity threshold is determined according to the nominal capacity of the battery cells;

[0080] The second grouping module 202 is configured to detect the initial SOC of each battery cell in the first battery pack, and group the battery cells whose initial SOC meets the preset grouping SOC to obtain a second battery pack;

[0081] The simulation module 203 is configured to simulate the charge and discharge process of each battery cell in the second battery pack according to a preset charge and discharge strategy, and obtain charging data and discharging data corresponding to each battery cell;

[0082] The determination module 204 is configured to determine the group efficiency of the second battery pack according to the charging data, the discharging data and the nominal capacity.

[0083] In one embodiment, the preset charge and discharge strategy includes a preset charging strategy and a preset discharging strategy; the simulation module 203 is specifically configured to:

[0084] Simulating the charging process of each battery cell in the second battery pack according to a preset charging strategy to obtain charging data corresponding to the second battery pack and each battery cell after virtual charging;

[0085] The discharge process of each battery cell in the second battery pack after virtual charging is simulated according to a preset discharge strategy to obtain discharge data corresponding to each battery cell.

[0086] In one embodiment, the determination module 204 is specifically configured to:

[0087] determining an actual discharge capacity of the second battery pack based on the charging data and the discharging data;

[0088] The group efficiency is determined based on the actual discharge capacity and the nominal capacity.

[0089] In one embodiment, the determination module 204 is further configured to:

[0090] Determine the fully discharged battery cell based on the discharge data;

[0091] The charging data of the fully discharged battery cell is determined as the actual discharge capacity.

[0092] In one embodiment, the battery group efficiency estimation device further includes:

[0093] The standard determination module is configured to determine the battery pack grouping process standard according to the statistical grouping efficiency and the design requirements of the battery pack.

[0094] An embodiment of the present application further provides an electronic device that integrates any of the battery group efficiency estimation devices provided in the embodiments of the present application, the electronic device comprising:

[0095] one or more processors;

[0096] Memory; and

[0097] One or more application programs, wherein the one or more application programs are stored in the memory and configured to be executed by the processor to execute the battery group efficiency estimation method described in any embodiment of the battery group efficiency estimation method.

[0098] The present application also provides an electronic device that integrates any of the battery group efficiency estimation devices provided in the present application. As shown in FIG4 , it shows a schematic diagram of the structure of the electronic device involved in the present application embodiment. Specifically:

[0099] The electronic device may include components such as a processor 301 with one or more processing cores, a memory 302 with one or more computer-readable storage media, a power supply 303, and an input unit 304. Those skilled in the art will appreciate that the electronic device structure shown in FIG4 does not limit the electronic device and may include more or fewer components than shown, or combine certain components, or arrange the components differently.

[0100] Processor 301 is the control center of the electronic device. It connects all parts of the electronic device using various interfaces and circuits. By running or executing software programs and / or modules stored in memory 302 and accessing data stored in memory 302, it performs various functions of the electronic device and processes data, thereby monitoring the electronic device as a whole. Optionally, processor 301 may include one or more processing cores; preferably, processor 301 may integrate an application processor and a modem processor, wherein the application processor primarily handles the operating system, user interface, and application programs, while the modem processor primarily handles wireless communications. It is understood that the modem processor does not need to be integrated into processor 301.

[0101] Memory 302 can be used to store software programs and modules. Processor 301 executes various functional applications and data processing by running the software programs and modules stored in memory 302. Memory 302 may primarily include a program storage area and a data storage area. The program storage area may store an operating system and at least one application required for a function (such as sound playback or image playback); the data storage area may store data generated based on the use of the electronic device. Memory 302 may also include high-speed random access memory and non-volatile memory, such as at least one disk storage device, flash memory device, or other volatile solid-state storage device. Accordingly, memory 302 may also include a memory controller to provide processor 301 with access to memory 302.

[0102] The electronic device also includes a power supply 303 for supplying power to various components. Preferably, the power supply 303 can be logically connected to the processor 301 via a power management system, thereby enabling the power management system to manage charging, discharging, and power consumption. The power supply 303 can also include one or more DC or AC power supplies, a recharging system, a power failure detection circuit, a power converter or inverter, a power status indicator, and other arbitrary components.

[0103] The electronic device may further include an input unit 304, which may be configured to receive input digital or character information and generate keyboard, mouse, joystick, optical or trackball signal inputs related to user settings and function control.

[0104] Although not shown, the electronic device may further include a display unit, etc., which will not be described in detail here. Specifically, in this embodiment, the processor 301 in the electronic device will load the executable files corresponding to the processes of one or more application programs into the memory 302 according to the following instructions, and the processor 301 will run the application programs stored in the memory 302 to implement various functions as follows:

[0105] Detecting the initial capacity of the battery cells to be grouped, and grouping the battery cells whose initial capacity meets a preset grouping capacity threshold to obtain a first battery pack, wherein the preset grouping capacity threshold is determined based on the nominal capacity of the battery cells;

[0106] Detecting the initial SOC of each battery cell in the first battery pack, and grouping the battery cells whose initial SOCs meet the preset grouping SOCs to obtain a second battery pack;

[0107] According to a preset charge and discharge strategy, the charge and discharge process of each battery cell in the second battery pack is simulated to obtain charging data and discharging data corresponding to each battery cell;

[0108] The pack efficiency of the second battery pack is determined according to the charging data, the discharging data and the nominal capacity.

[0109] Those skilled in the art will appreciate that all or part of the steps in the various methods of the embodiments may be accomplished by instructions, or by controlling related hardware through instructions. The instructions may be stored in a computer-readable storage medium and loaded and executed by a processor.

[0110] To this end, embodiments of the present application provide a computer-readable storage medium. The computer-readable storage medium may be non-volatile or volatile, and may include: read-only memory (ROM), random access memory (RAM), a magnetic disk, or an optical disk. A computer program is stored thereon, and the computer program is loaded by a processor to execute the steps of any of the battery group efficiency estimation methods provided in embodiments of the present application. For example, the computer program, when loaded by the processor, may execute the following steps:

[0111] Detecting the initial capacity of the battery cells to be grouped, and grouping the battery cells whose initial capacity meets a preset grouping capacity threshold to obtain a first battery pack, wherein the preset grouping capacity threshold is determined based on the nominal capacity of the battery cells;

[0112] Detecting the initial SOC of each battery cell in the first battery pack, and grouping the battery cells whose initial SOCs meet the preset grouping SOCs to obtain a second battery pack;

[0113] According to a preset charge and discharge strategy, the charge and discharge process of each battery cell in the second battery pack is simulated to obtain charging data and discharging data corresponding to each battery cell;

[0114] The pack efficiency of the second battery pack is determined according to the charging data, the discharging data and the nominal capacity.

[0115] The embodiment of the present application also provides a computer program product, including a computer program / instruction, which, when executed by a processor, is used to perform the steps of any battery group efficiency estimation method provided in the embodiment of the application.

Claims

1. A method for estimating the grouping efficiency of a battery, the method for estimating the grouping efficiency of the battery comprising: Detecting the initial capacity of the battery cells to be grouped, and grouping the battery cells whose initial capacity meets a preset grouping capacity threshold to obtain a first battery pack, wherein the preset grouping capacity threshold is determined according to the nominal capacity of the battery cells; Detecting the initial SOC of each battery cell in the first battery pack, and grouping the battery cells whose initial SOC meets a preset grouping SOC to obtain a second battery pack; Simulating the charge and discharge processes of each battery cell in the second battery pack according to a preset charge and discharge strategy to obtain charge data and discharge data corresponding to each battery cell; Determining the grouping efficiency of the second battery pack according to the charge data, the discharge data and the nominal capacity.

2. The method for estimating battery group efficiency according to claim 1, wherein: The preset grouping capacity threshold is [1, 1 + a] of the nominal capacity of the battery cells, where 0 < a < 0.

2.

3. The method for estimating battery group efficiency according to claim 2, wherein: The preset grouping SOC is [b%, (b + c)%], where 0 < b < 90 and 0 < c < 10, and the value of b is the minimum initial SOC among the multiple initial SOCs corresponding to the multiple battery cells of the first battery pack.

4. The method for estimating battery group efficiency according to claim 3, wherein: The preset charge and discharge strategy includes a preset charge strategy and a preset discharge strategy; The simulating the charge and discharge processes of each battery cell in the second battery pack according to a preset charge and discharge strategy to obtain charge data and discharge data corresponding to each battery cell includes: Simulating the charging process of each battery cell in the second battery pack according to the preset charge strategy to obtain a second battery pack after virtual charging and charge data corresponding to each battery cell; Simulating the discharging process of each battery cell in the second battery pack after virtual charging according to the preset discharge strategy to obtain discharge data corresponding to each battery cell.

5. The method for estimating battery group efficiency according to claim 4, wherein: The preset charge strategy is: when the SOC of any one battery cell in the second battery pack reaches full charge, stop simulating the charging process.

6. The method for estimating battery group efficiency according to claim 5, wherein: The preset discharge strategy is: when the SOC of any one battery cell in the second battery pack after virtual charging reaches full discharge, stop simulating the discharging process.

7. The method for estimating battery group efficiency according to claim 6, wherein: The determining the grouping efficiency of the second battery pack according to the charge data, the discharge data and the nominal capacity includes: Determining the actual discharge capacity of the second battery pack according to the charge data and the discharge data; Determining the grouping efficiency according to the actual discharge capacity and the nominal capacity.

8. The method for estimating battery group efficiency according to claim 7, wherein: The determining the actual discharge capacity of the second battery pack according to the charge data and the discharge data includes: Determining the fully discharged battery cells according to the discharge data; Determining the charge data of the fully discharged battery cells as the actual discharge capacity.

9. According to the method for estimating the grouping efficiency of a battery according to any one of claims 1-8, after determining the grouping efficiency of the second battery pack according to the charge data, the discharge data and the nominal capacity, further comprising: Obtaining the grouping efficiencies of multiple batches of second battery packs; Performing statistical calculations on the grouping efficiencies to obtain a statistical grouping efficiency.

10. According to the method for estimating the grouping efficiency of a battery according to claim 9, further comprising: The battery pack grouping process standard is determined based on the statistical grouping efficiency and the design requirements of the battery pack.

11. An electronic device, comprising: one or more processors; a storage device for storing one or more programs, When the one or more programs are executed by the one or more processors, the one or more processors implement the battery group efficiency estimation method according to any one of claims 1 to 10.

12. A storage medium comprising computer executable instructions, which are used to perform the battery group efficiency estimation method according to any one of claims 1 to 10 when executed by a computer processor.

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