Battery pack parameter determination method and device, storage medium and electronic device

Abstract

The application discloses a battery pack parameter determination method and device, a storage medium and electronic equipment. The battery pack parameter determination method comprises the following steps: acquiring cycle life prediction data of battery cells of a battery pack; determining the minimum cycle life of the battery cells and the expected cycle life according to the cycle life of each battery cell; determining the optimized cooling parameter according to the expected cycle life, and / or determining the optimized assembly parameter according to the expected cycle life; outputting the battery cell identifier corresponding to the minimum cycle life of the battery cells, and outputting the optimized cooling parameter and / or the optimized assembly parameter. In the embodiment of the application, the optimized cooling parameter of the cooling component of the partition where the short board battery cell is located and / or the optimized assembly parameter of the short board battery cell are determined according to the expected cycle life, the cooling and / or assembly of the short board battery cell are optimized, the service life of the short board battery cell is improved, and the service life of the whole battery pack is improved.

Description

Technical Field

[0001] This invention relates to the field of battery technology, and in particular to a method, apparatus, storage medium, and electronic device for determining battery pack parameters. Background Technology

[0002] In a battery pack, multiple individual cells are usually arranged according to a predetermined rule, and the multiple individual cells are basically consistent after optimization, except for their position.

[0003] Individual battery cells typically have a high optimized lifespan, good cycle performance, and energy density. However, when multiple individual battery cells are integrated into a battery pack, the overall lifespan of the battery pack will be significantly reduced due to various factors.

[0004] Improving the overall lifespan of battery packs is a problem that urgently needs to be solved. Summary of the Invention

[0005] This invention provides a method, apparatus, storage medium, and electronic device for determining battery pack parameters, aiming to solve the technical problem of how to improve the overall service life of battery packs in the prior art.

[0006] In a first aspect of the present invention, a method for determining battery pack parameters is provided, wherein the battery pack includes multiple partitions, each partition including battery cells and cooling components, and the method for determining battery pack parameters includes:

[0007] Obtain cycle life prediction data of the cells in the battery pack, wherein the cycle life prediction data includes multiple cell identifiers and multiple cell cycle lives corresponding to the multiple cell identifiers respectively;

[0008] The minimum cell cycle life and the expected cycle life are determined based on the cycle life of each cell, wherein the expected cycle life is greater than the minimum cell cycle life.

[0009] Optimized cooling parameters are determined based on the expected cycle life, and / or optimized assembly parameters are determined based on the expected cycle life, wherein the optimized cooling parameters are configured in the cooling components of the partition where the short-board cell is located, and the optimized assembly parameters are configured at least in the short-board cell, wherein the short-board cell is the cell corresponding to the cell identifier corresponding to the minimum cell cycle life.

[0010] Output the cell identifier corresponding to the minimum cell cycle life, and output the optimized cooling parameters and / or the optimized assembly parameters.

[0011] Optionally, obtaining the cycle life prediction data of the battery pack's cells includes:

[0012] The measured value data of the cells of the battery pack during the Nth charging cycle are obtained. The measured value data includes multiple cell identifiers and multiple measured values ​​corresponding to the multiple cell identifiers.

[0013] Obtain the cell capacity cycle number relationship curve and the expansion force cycle number relationship curve, and determine the final value of the cycle number corresponding to the cell capacity being the preset capacity in the cell capacity cycle number relationship curve;

[0014] Multiple predicted expansion forces are determined based on the multiple measured values;

[0015] Multiple cell cycle lives are determined based on the predicted expansion force, the expansion force cycle number relationship curve, and the final value of the cycle number, respectively.

[0016] The cycle life of multiple battery cells and the battery cell identifiers are combined to form cycle life prediction data.

[0017] Optionally, the cooling component is a side liquid-cooled plate with coolant flowing inside;

[0018] The optimized cooling parameters are determined based on the expected cycle life, including:

[0019] Obtain the expansion force-temperature relationship curve, determine the expected expansion force based on the expected cycle life, the final value of the number of cycles, and the expansion force-cycle number relationship curve, and determine the expected cell temperature based on the expected expansion force and the expansion force-temperature relationship curve;

[0020] The measured temperature of the short-board cell during the Nth charging cycle is obtained, the temperature difference between the measured temperature of the short-board cell and the expected cell temperature is determined, and the initial charging liquid cooling temperature and initial charging liquid cooling flow rate of the short-board cell are obtained.

[0021] The optimized charging liquid cooling temperature and / or optimized charging liquid cooling flow rate are determined based on the temperature difference, the initial charging liquid cooling temperature, and / or the initial charging liquid cooling flow rate.

[0022] Optionally, the cooling component is a side liquid cooling plate through which coolant flows, and a pre-tightening member is connected to the side liquid cooling plate. The pre-tightening member is used to apply a pre-tightening force to the battery cell, and there is a gap between the side liquid cooling plate and the battery cell.

[0023] The step of determining the optimized assembly parameters based on the expected cycle life includes:

[0024] The initial cell assembly gap, cell thickness, initial preload, core elastic modulus and contact area are obtained, and the measured expansion of the short-board cell during the Nth charging cycle is obtained.

[0025] The expected expansion force is determined based on the expected cycle life, the final value of the number of cycles, and the relationship curve between the expansion force and the number of cycles.

[0026] The optimized preload force is determined based on the expected expansion force, the preset expansion relationship, the initial cell assembly gap, the cell thickness, the core elastic modulus, the contact area, and the measured expansion amount of the short-plate cell.

[0027] Alternatively, the optimized cell assembly gap can be determined based on the expected expansion force, the preset expansion relationship, the initial preload, the cell thickness, the core elastic modulus, the contact area, and the measured expansion amount of the short-plate cell.

[0028] Optionally, the measured values ​​include measured temperature and / or measured expansion.

[0029] The step of determining multiple predicted expansion forces based on multiple measured values ​​includes:

[0030] Multiple first predicted expansion forces are determined based on multiple measured temperatures, and / or multiple second predicted expansion forces are determined based on multiple measured expansion amounts;

[0031] Multiple cell cycle lives are determined based on the predicted expansion force, the expansion force cycle number relationship curve, and the final value of the cycle number, including:

[0032] Multiple cell cycle lives are determined based on multiple first predicted expansion forces and / or multiple second predicted expansion forces, the expansion force cycle number relationship curve, and the final value of the cycle number.

[0033] Optionally, a plurality of first predicted expansion forces are determined based on a plurality of the measured temperatures, including:

[0034] Obtain the expansion force-temperature relationship curve;

[0035] Based on the measured temperature values ​​and the expansion force-temperature relationship curve, a plurality of first predicted expansion forces are determined respectively;

[0036] Multiple second predicted expansion forces are determined based on multiple measured expansion quantities, including:

[0037] Obtain the initial cell assembly gap, cell thickness, initial preload, core elastic modulus, and contact area;

[0038] Multiple second predicted expansion forces are determined based on the preset expansion relationship, the initial cell assembly gap, the cell thickness, the initial preload, the core elastic modulus, the contact area, and multiple measured expansion values.

[0039] Optionally, determining the optimized cooling parameters based on the expected cycle life, and / or determining the optimized assembly parameters based on the expected cycle life, includes:

[0040] Obtain the measured voltage of the short-board battery cell;

[0041] The predicted cycle life of the short-board cell is determined based on the measured voltage of the short-board cell.

[0042] Determine whether the absolute value of the difference between the predicted cycle life of the short-board cell and the minimum cycle life of the cell is less than or equal to a preset value.

[0043] If the absolute value of the difference between the predicted cycle life of the short-board cell and the minimum cycle life of the cell is less than or equal to the preset value, then the optimized cooling parameters are determined based on the expected cycle life, and / or the optimized assembly parameters are determined based on the expected cycle life.

[0044] In a second aspect of the invention, a battery pack parameter determining device is also provided. The battery pack includes multiple partitions, each partition including battery cells and cooling components. The battery pack parameter determining device includes:

[0045] The acquisition module is used to acquire the cycle life prediction data of the cells of the battery pack, wherein the cycle life prediction data includes multiple cell identifiers and multiple cell cycle lives corresponding to the multiple cell identifiers respectively.

[0046] The first determining module is used to determine the minimum cycle life and the expected cycle life of each battery cell based on the cycle life of each battery cell, wherein the expected cycle life is greater than the minimum cycle life of the battery cell.

[0047] The second determining module is used to determine optimized cooling parameters based on the expected cycle life, and / or to determine optimized assembly parameters based on the expected cycle life, wherein the optimized cooling parameters are configured in the cooling components of the partition where the short-board cell is located, and the optimized assembly parameters are configured at least in the short-board cell, wherein the short-board cell is the cell corresponding to the cell identifier corresponding to the minimum cell cycle life.

[0048] The output module is used to output the cell identifier corresponding to the minimum cell cycle life, and to output the optimized cooling parameters and / or the optimized assembly parameters.

[0049] In a third aspect of the invention, a readable storage medium is also provided, on which a computer program is stored, which, when executed by a processor, implements the battery pack parameter determination method as described above.

[0050] In a fourth aspect of the invention, an electronic device is also provided, comprising:

[0051] processor;

[0052] Memory for storing instructions executable by the processor;

[0053] The processor is configured to execute the instructions to implement the battery pack parameter determination method as described above.

[0054] In this embodiment of the invention, the minimum cell cycle life is determined based on the cycle life prediction data of multiple cells. Then, the cell identifier corresponding to the minimum cell cycle life is used to identify which cell in the battery pack is the weakest link cell. Optimized cooling parameters and / or optimized assembly parameters are determined based on the expected cycle life. The output optimized cooling parameters are configured in the cooling components of the partition where the weakest link cell is located, and the output optimized assembly parameters are configured at least in the weakest link cell. That is, in this embodiment, the optimized cooling parameters of the cooling components of the partition where the weakest link cell is located and / or the optimized assembly parameters of the weakest link cell are determined based on the expected cycle life, optimizing the cooling and / or assembly of the weakest link cell to improve its lifespan, thereby improving the overall lifespan of the battery pack, balancing the cycle life of each cell in the battery pack, and improving the consistency of the battery pack's performance.

[0055] Furthermore, compared to optimizing the cooling and / or assembly of multiple cells throughout the entire battery pack, optimizing only the cooling and / or assembly of the shortest cells has a smaller impact on the entire battery pack, lower implementation costs, and better performance benefits. Additionally, with a partitioned structure optimization of the battery pack, optimizing the cooling of shortest cells only requires adjusting the parameters of the cooling components in the partition containing that shortest cell, which helps reduce the overall cooling system's energy consumption. Attached Figure Description

[0056] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the accompanying drawings used in the description of the embodiments or the prior art will be briefly introduced below.

[0057] Figure 1 This is a flowchart illustrating the steps of a battery pack parameter determination method provided in an embodiment of the present invention.

[0058] Figure 2 This is a schematic diagram of the battery pack provided in an embodiment of the present invention;

[0059] Figure 3 This is a schematic diagram of the cell capacity cycle number relationship curve provided in an embodiment of the present invention;

[0060] Figure 4 This is a schematic diagram of the relationship curve of the number of expansion force cycles provided in an embodiment of the present invention;

[0061] Figure 5 This is a schematic diagram illustrating the relationship between temperature and expansion force during a charging cycle, provided in an embodiment of the present invention.

[0062] Figure 6 This is a schematic diagram of the structure of the battery cell, side liquid cooling plate, pre-tightening component, and aerogel in the battery pack provided in an embodiment of the present invention;

[0063] Figure 7 This is a schematic diagram of a battery pack parameter determination device provided in an embodiment of the present invention.

[0064] Figure label:

[0065] 1-Battery cell, 2-Side liquid cooling plate, 3-Pre-tightening component, 4-Glue. Detailed Implementation

[0066] The technical solutions of the present invention will now be described with reference to the accompanying drawings in the embodiments of the present invention.

[0067] The embodiments described herein are for illustrative purposes only and are not intended to limit the scope of the invention. The invention is described more specifically in the following paragraphs by way of example with reference to the accompanying drawings. It should be noted that the drawings are in a very simplified form and use non-precise proportions, and are only used to facilitate and clarify the illustration of the embodiments of the invention.

[0068] Firstly, referring to Figure 1 This invention provides a method for determining battery pack parameters, including:

[0069] Step 101: Obtain the cycle life prediction data of the battery pack cells.

[0070] The cycle life prediction data includes multiple cell identifiers and their corresponding cell cycle lives, with each cell's cycle life corresponding one-to-one with a cell in the battery pack. A cell identifier is a unique identifier for each individual cell within the battery pack. Cell identifiers can be numbers, such as 001, 002, etc., and different identifiers correspond to different positions of the cells within the battery pack. Cell cycle life refers to the number of charge-discharge cycles remaining for cell 1.

[0071] The system can obtain measured data of the battery pack's cells during the Nth charging cycle. This measured data includes multiple cell identifiers and corresponding measured values. The cycle life of each cell is determined based on these measured values, and combined with the cell identifiers to form cycle life prediction data. Alternatively, other life prediction methods can be used to predict the lifespan of each cell in the battery pack, also combining this data with the cell identifiers to form cycle life prediction data. In this step, the input cycle life prediction data can be directly obtained.

[0072] Step 102: Determine the minimum cell cycle life and the expected cycle life based on the cycle life of each cell.

[0073] The expected cycle life is greater than the minimum cell cycle life. The expected cycle life can be the maximum cell cycle life among multiple cell cycle lives, or it can be the median of the multiple cell cycle lives. Preferably, the expected cycle life is the maximum cell cycle life among multiple cell cycle lives.

[0074] Step 103: Determine the optimized cooling parameters based on the expected cycle life, and / or, determine the optimized assembly parameters based on the expected cycle life.

[0075] Among them, reference Figure 2 The battery pack includes multiple sections, including battery cells 1 and cooling components. Figure 2 A in the diagram represents a partition. When the cooling component is a side liquid cooling plate 2, adjacent M1 cells 1 and their corresponding cooling components are grouped into a partition along the length direction of the cell 1, i.e., along the length direction of the side liquid cooling plate 2. M1 can be set according to actual needs, for example, 1 to 6 cells. In other embodiments, adjacent M2 cells 1 and their corresponding cooling components can also be grouped into a partition along the thickness direction of the cell 1.

[0076] Optimized cooling parameters are configured on the cooling components of the partition containing the short-term cell. Optimized assembly parameters are configured at least on the short-term cell, which is the cell with the shortest cycle life. The short-term cell refers to the cell with the shortest lifespan in the battery pack, whose performance becomes the bottleneck of the entire battery pack's lifespan. As an example, optimized assembly parameters are configured only on the short-term cell. As another example, optimized assembly parameters are configured on all cells in the partition containing the short-term cell. Optimized cooling parameters may include optimized charging liquid cooling temperature and / or optimized charging liquid cooling flow rate, and optimized assembly parameters may include optimized preload force and / or optimized cell assembly gap.

[0077] The battery pack contains cells with initial assembly parameters and cooling components with initial cooling parameters. In this embodiment, the cooling parameters of the cooling components in the partition containing the short-board cell are optimized, and the optimized cooling parameters are used as the latest cooling parameters for the partition containing the short-board cell. The assembly parameters of the short-board cell are also optimized, and the optimized assembly parameters are used as the latest assembly parameters for the short-board cell.

[0078] It should be noted that the lifespan of short-board cells using optimized assembly parameters is longer than that of short-board cells using the initial assembly parameters. Compared to cooling components using the initial cooling parameters, cooling components using optimized cooling parameters result in lower charging temperatures for short-board cells, thus extending their lifespan.

[0079] Step 104: Output the cell identifier corresponding to the minimum cell cycle life, and output the optimized cooling parameters and / or optimized assembly parameters.

[0080] The system can output the cell identifier corresponding to the minimum cell cycle life, optimized cooling parameters, and / or optimized assembly parameters to a display device for designers to view. Designers can determine which cell in the battery pack is the weakest cell based on the cell identifier corresponding to the minimum cell cycle life, and adjust the assembly parameters of the weakest cell from the initial assembly parameters to the optimized assembly parameters. The cooling parameters of the cooling components in the partition where the weakest cell is located can also be adjusted from the initial cooling parameters to the optimized cooling parameters.

[0081] In a battery pack, the temperature of each cell varies significantly due to differences in heat accumulation and dissipation. This results in different expansion forces for cells in different locations, leading to varying degrees of lithium plating / water degradation in the later stages of cell cycling. This affects the consistency of battery life, and the overall lifespan of the battery pack is determined by the worst-performing cell, i.e., the weakest link cell. Improving the lifespan of the weakest link cell can significantly improve the overall lifespan of the battery pack, thereby increasing the battery's driving range.

[0082] In this embodiment of the invention, the minimum cell cycle life is determined based on the cycle life prediction data of multiple cells. Then, the cell identifier corresponding to the minimum cell cycle life is used to identify which cell in the battery pack is the weakest link cell. Optimized cooling parameters and / or optimized assembly parameters are determined based on the expected cycle life. The output optimized cooling parameters are configured in the cooling components of the partition where the weakest link cell is located, and the output optimized assembly parameters are configured at least in the weakest link cell. That is, in this embodiment, the optimized cooling parameters of the cooling components of the partition where the weakest link cell is located and / or the optimized assembly parameters of the weakest link cell are determined based on the expected cycle life, optimizing the cooling and / or assembly of the weakest link cell to improve its lifespan, thereby improving the overall lifespan of the battery pack, balancing the cycle life of each cell in the battery pack, and improving the consistency of the battery pack's performance.

[0083] Furthermore, compared to optimizing the cooling and / or assembly of multiple cells throughout the entire battery pack, optimizing only the cooling and / or assembly of the shortest cells has a smaller impact on the entire battery pack, lower implementation costs, and better performance benefits. Additionally, with a partitioned structure optimization of the battery pack, optimizing the cooling of shortest cells only requires adjusting the parameters of the cooling components in the partition containing that shortest cell, which helps reduce the overall cooling system's energy consumption.

[0084] In some embodiments, step 101, obtaining cycle life prediction data of the battery pack cells, includes:

[0085] Obtain the measured value data of the battery cells in the Nth charging cycle. The measured value data includes multiple cell identifiers and multiple measured values ​​corresponding to each of the multiple cell identifiers.

[0086] Obtain the cell capacity cycle number relationship curve and the expansion force cycle number relationship curve, and determine the final value of the cycle number corresponding to the cell capacity being the preset capacity in the cell capacity cycle number relationship curve;

[0087] Multiple predicted expansion forces are determined based on multiple measured values;

[0088] The cycle life of multiple cells was determined based on multiple predicted expansion force, expansion force cycle number relationship curves, and final cycle number values.

[0089] Cycle life prediction data is composed of multiple cell cycle lives and multiple cell identifiers.

[0090] N can be set from 1 to 10 according to actual needs, with 1 being the preferred value. The measured value is the value obtained during the actual charging cycle of the battery cell. Measured values ​​can include measured temperature, measured expansion, etc. Cell capacity is the ratio of the battery's performance parameters to its nominal parameters after a period of use. It is the ratio of the capacity released by the battery from a fully charged state at a certain rate to the cutoff voltage to its corresponding nominal capacity; simply put, it represents the battery's maximum capacity. Expansion force is the force exerted on the clamp by the battery cell during charging when it comes into contact with it.

[0091] Based on the long-cycle test results of battery cells, curves relating cell capacity to cycle life and expansion force to cycle life can be established. Multiple battery cells can be subjected to long-cycle tests, yielding multiple corresponding long-cycle test results. The cell with the median test cycle life can be used as the representative long-cycle test result.

[0092] The preset value can be 80%, meaning that when the cell capacity reaches 80% in the cell capacity cycle count curve, the corresponding cycle count is the final value. (Refer to...) Figure 3 , Figure 3 The cell capacity-cycle relationship curve contains two lines. Line S1 represents the minimum cell capacity during each charging cycle, while line S2 represents the maximum cell capacity during each charging cycle. Line S1 is used to determine the final cycle count. (Refer to...) Figure 4 , Figure 4In the curve showing the relationship between expansion force and the number of charging cycles, there are two lines. The expansion force on the S3 line represents the maximum expansion force during each charging cycle of the battery cell, while the expansion force on the S4 line represents the minimum expansion force during each charging cycle of the battery cell. When analyzing the curve showing the relationship between expansion force and the number of charging cycles, the S3 line is used.

[0093] When determining the cycle life of a battery cell based on the relationship curve between the predicted expansion force and the number of cycles, the specific number of cycles corresponding to the predicted expansion force is determined based on the relationship curve between the predicted expansion force and the number of cycles. The difference between the final number of cycles and the number of cycles corresponding to the predicted expansion force is the cycle life of the battery cell.

[0094] During the charging process of a lithium-ion battery cell, lithium is delithiated from the positive electrode and lithium is inserted into the negative electrode, causing changes in the lattice parameters of the positive and negative electrode materials. This leads to changes in the electrode thickness, resulting in an increase in cell thickness and expansion force. A large expansion force causes the middle of the cell to bulge. When the cell bulges, the internal core is compressed by the casing, affecting electrolyte reflux and potentially causing a sharp drop in cycle life due to electrolyte shortage. Therefore, the expansion force of the cell affects its cycle life, and the cycle life can be predicted based on the expansion force. In this embodiment, the predicted expansion force is determined by measured values ​​during the cell's charging cycle. The cycle life is then determined based on the relationship curve between the predicted expansion force and the number of cycles, as well as the final value of the number of cycles. The final determined cycle life is relatively accurate, enabling precise life prediction.

[0095] In some embodiments, refer to Figure 1 and Figure 6 The cooling component is a side liquid-cooled plate 2 with coolant flowing inside;

[0096] The optimized cooling parameters are determined based on the expected cycle life, including:

[0097] Obtain the expansion force-temperature relationship curve, determine the expected expansion force based on the expected cycle life, final value of cycle count, and expansion force-cycle count relationship curve, and determine the expected cell temperature based on the expected expansion force and expansion force-temperature relationship curve.

[0098] The measured temperature of the short-board cell during the Nth charging cycle is obtained, the temperature difference between the measured temperature of the short-board cell and the expected cell temperature is determined, and the initial charging liquid cooling temperature and initial charging liquid cooling flow rate of the short-board cell are obtained.

[0099] The optimized charging liquid cooling temperature and / or optimized charging liquid cooling flow rate are determined based on the temperature difference, the initial charging liquid cooling temperature, and / or the initial charging liquid cooling flow rate.

[0100] SOC (State of Charge), also known as remaining capacity, represents the ratio of a battery's remaining capacity after a period of use or long-term storage to its capacity in a fully charged state, usually expressed as a percentage. Testing a single cell, observing its temperature and expansion force changes during the Nth charging cycle, yields... Figure 5 The diagram illustrates the relationship between temperature and expansion force during a charging cycle. In the figure, line S5 represents the change in cell temperature, and line S6 represents the change in expansion force. (Refer to...) Figure 5 During the cell charging cycle, from SOCX1% to SOCX2%, the cell temperature and expansion force are basically positively correlated; the higher the temperature, the greater the expansion force. The expansion force-temperature relationship curve can be determined based on the correspondence between cell temperature and expansion force during the charging process from SOCX1% to SOCX2%.

[0101] With a relatively constant charging temperature rise, the expansion force during charging at different charging rates, such as 0.05C and 0.33C for graphite systems, is highly correlated with the State of Charge (SOC) and less related to the charging rate itself. Figure 5 When the lower limit of the SOC range is slightly changed, the absolute value of the expansion force increases only slightly. When there is a significant temperature rise, the maximum expansion force appears at SOCX2%, which has little relation to the upper limit of SOC.

[0102] The expected expansion force is determined based on the relationship curve between expected cycle life, final cycle count, and expansion force cycle count. This includes: subtracting the final cycle count from the expected cycle life; and determining the expansion force corresponding to that cycle count based on the expansion force cycle count relationship curve and the cycle count obtained from the subtraction. This expansion force is the expected expansion force. It should be noted that there are multiple expansion force temperature relationship curves, each corresponding to different numbers of charging cycles. The temperature corresponding to the expected expansion force in the expansion force temperature relationship curve for the charging cycle corresponding to the subtracted cycle count is also the expected cell temperature. The measured temperature of the short-board cell is the actual measured temperature of the short-board cell. Specifically, the measured temperature of the short-board cell when it is charged to 2% SOCX during the Nth charging cycle is the measured temperature of the short-board cell. A temperature sensor can be used to measure the temperature.

[0103] As one example, the optimized charging liquid cooling temperature and / or optimized charging liquid cooling flow rate are determined based on the temperature difference, the initial charging liquid cooling temperature, and / or the initial charging liquid cooling flow rate. Specifically, the difference between the initial charging liquid cooling temperature and the temperature difference is used as the optimized charging liquid cooling temperature. The optimized charging liquid cooling temperature is lower than the initial charging liquid cooling temperature. As another example, a correspondence between temperature difference and flow rate difference is pre-established. The optimized charging liquid cooling temperature and / or optimized charging liquid cooling flow rate are determined based on the temperature difference, the initial charging liquid cooling temperature, and / or the initial charging liquid cooling flow rate. Specifically, the flow rate difference is determined based on the temperature difference and the correspondence between temperature difference and flow rate difference, and the sum of the initial charging liquid cooling flow rate and this flow rate difference is used as the optimized charging liquid cooling flow rate. As another example, the optimized charging liquid cooling temperature and / or optimized charging liquid cooling flow rate are determined based on the temperature difference, the initial charging liquid cooling temperature, and / or the initial charging liquid cooling flow rate. Specifically, the difference between the initial charging liquid cooling temperature and 80% of the temperature difference is taken as the optimized charging liquid cooling temperature. The flow rate difference is determined based on the 20% temperature difference and the correspondence between the temperature difference and the flow rate difference. The sum of the initial charging liquid cooling flow rate and the flow rate difference is taken as the optimized charging liquid cooling flow rate.

[0104] In this embodiment, the optimized charging liquid cooling temperature and / or optimized charging liquid cooling flow rate are determined based on the temperature difference, the initial charging liquid cooling temperature and / or the initial charging liquid cooling flow rate. After the side liquid cooling plate 2 adopts the optimized charging liquid cooling temperature and / or optimized charging liquid cooling flow rate, it can directly reduce the temperature of the short-board cell and other cells in its zone, thereby extending the service life of the short-board cell.

[0105] In some embodiments, refer to Figure 6 The cooling component is a side liquid cooling plate 2 with coolant flowing inside. A pre-tightening member 3 is connected to the side liquid cooling plate 2, which is used to apply pre-tightening force to the battery cell 1. There is a gap between the side liquid cooling plate 2 and the battery cell 1, and an adhesive 4, specifically aerogel, is provided between the side liquid cooling plate 2 and the battery cell 1. There are two side liquid cooling plates 2 on both sides of the battery cell 1 along its thickness direction. The two side liquid cooling plates 2 serve to clamp the battery cell 1, that is, they act as clamps.

[0106] The optimized assembly parameters are determined based on the expected cycle life, including:

[0107] The initial cell assembly gap, cell thickness, initial preload, core elastic modulus and contact area are obtained, and the measured expansion of the short-board cell during the Nth charging cycle is obtained.

[0108] The expected expansion force is determined based on the relationship curve between expected cycle life, final value of cycle count, and expansion force cycle count.

[0109] The optimized preload force is determined based on the expected expansion force, the preset expansion relationship, the initial cell assembly gap, the cell thickness, the core elastic modulus, the contact area, and the measured expansion amount of the short-plate cell.

[0110] Alternatively, the optimized cell assembly gap can be determined based on the expected expansion force, preset expansion relationship, initial preload, cell thickness, core elastic modulus, contact area, and measured expansion of the short-plate cell.

[0111] The expansion process of cell 1 approximately satisfies Hooke's Law. Based on this, the preset expansion relationship can be determined as follows:

[0112] (F-F0) / S=E×(I-I0) / I0, where F is the expansion force, F0 is the preload force; S is the contact area between the adhesive 4 and the side liquid cooling plate 2, E is the elastic modulus of the core, I is the total thickness of the battery cell after expansion, and I0 is the total thickness of the battery cell before expansion. The elastic modulus E of the core is determined based on the parameters of the core inside the battery cell. (Refer to...) Figure 6 Before expansion, the total cell thickness I0 is the sum of the cell thickness and the assembly gap between two cells before the battery pack is fully assembled and before the entire cell cycle. The assembly gap is the gap between the side liquid cooling plate 2 and cell 1. After expansion, the total cell thickness I is the sum of the cell expansion amount and the total cell thickness I0 before expansion. According to the preset expansion formula, the preload and the cell assembly gap will affect the force on the cell, thus affecting the expansion force growth trend.

[0113] The initial cell assembly gap is the initial cell assembly gap, specifically the initial gap between the side liquid cooling plate 2 and the cell 1 in the battery pack. It should be noted that the initial cell assembly gap takes into account the compression of the adhesive 4. The initial preload force is the initial preload force exerted by the preload member 3 on the cell 1. The measured expansion of the short-plate cell is the measured expansion of the short-plate cell after the Nth charging cycle. The cell expansion can be measured using a displacement sensor.

[0114] The optimized preload is determined based on the expected expansion force, the preset expansion formula, the initial cell assembly gap, the cell thickness, the core elastic modulus, the contact area, and the measured expansion amount of the short-board cell. Specifically, the sum of the two initial cell assembly gaps and cell thicknesses is taken as I0, and the sum of the measured expansion amount of the short-board cell and I0 is taken as I. At the same time, the core elastic modulus, contact area, and expected expansion force are substituted into the preset expansion formula to calculate the preload. Then, it is determined whether the preload is within the preset preload range. If it is, the preload is taken as the optimized preload. If it is not within the preset preload range, the value closest to the preload in the preset preload range is taken as the optimized preload.

[0115] The optimized cell assembly gap is determined based on the expected expansion force, the preset expansion relationship, the initial preload, the cell thickness, the core elastic modulus, the contact area, and the measured expansion amount of the short-plate cell. Specifically, in the preset expansion relationship, I0 is the sum of the two cell assembly gaps and the cell thickness, and I is the sum of the measured expansion amount of the short-plate cell and I0. The expected expansion force, the initial preload, the cell thickness, the core elastic modulus, the contact area, and the measured expansion amount of the short-plate cell are substituted into the preset expansion relationship to calculate the cell assembly gap. Then, it is determined whether the cell assembly gap is within the preset cell assembly gap range. If it is, the cell assembly gap is taken as the optimized cell assembly gap. If it is not within the preset cell assembly gap range, the value closest to the cell assembly gap in the preset cell assembly gap range is taken as the optimized cell assembly gap.

[0116] It should be noted that if the optimized cell assembly gap is not equal to the initial cell assembly gap, the gap between the side liquid cooling plate 2 and the cell 1 can be adjusted by adjusting the thickness of the adhesive 4, thereby adjusting the initial cell assembly gap to the optimized cell assembly gap.

[0117] In some embodiments, the measured values ​​include measured temperature and / or measured expansion.

[0118] Multiple predicted expansion forces were determined based on several measured values, including:

[0119] Multiple first predicted expansion forces are determined based on multiple measured temperatures, and / or multiple second predicted expansion forces are determined based on multiple measured expansion amounts;

[0120] The cycle life of multiple cells was determined based on multiple predicted expansion force, expansion force cycle number relationship curves, and final cycle number values, including:

[0121] Multiple cell cycle lives are determined based on multiple first predicted expansion forces and / or multiple second predicted expansion forces, expansion force cycle number relationship curves, and final cycle number values.

[0122] Among the factors influencing expansion force, temperature is a significant one. Higher temperatures lead to a faster increase in cell expansion force; therefore, expansion force can be predicted based on temperature. Specifically, the measured temperature of the cell during the Nth charging cycle, when the cell is charged to 2% of its rated capacity, is taken as the actual measured temperature. Preferably, multiple first predicted expansion forces are determined based on multiple measured temperatures, and multiple cell cycle lives are determined based on the relationship curve between the multiple first predicted expansion forces, the expansion force cycle count, and the final value of the cycle count.

[0123] It should be noted that when determining the cycle life of multiple cells based on multiple first predicted expansion forces and multiple second predicted expansion forces, the relationship curve of expansion force cycle number and the final value of cycle number, the cell cycle life is specifically determined based on the maximum value of the first predicted expansion force and the second predicted expansion force, that is, the minimum cell cycle life is taken as the final cell cycle life.

[0124] In some embodiments, determining a plurality of first predicted expansion forces based on a plurality of measured temperatures includes:

[0125] Obtain the expansion force-temperature relationship curve;

[0126] Based on multiple measured temperature values ​​and the expansion force-temperature relationship curve, multiple first predicted expansion forces are determined respectively;

[0127] Multiple second predicted expansion forces are determined based on multiple measured expansion values, including:

[0128] Obtain the initial cell assembly gap, cell thickness, initial preload, core elastic modulus, and contact area;

[0129] Multiple second predicted expansion forces are determined based on the preset expansion relationship, initial cell assembly gap, cell thickness, initial preload, core elastic modulus, contact area, and multiple measured expansion values.

[0130] The preset expansion relationship is (F-F0) / S = E×(I-I0) / I0. Substituting the initial cell assembly gap, cell thickness, initial preload, core elastic modulus, and contact area into the preset expansion relationship yields the second predicted expansion force. When determining multiple first predicted expansion forces based on multiple measured temperature values ​​and expansion force-temperature relationship curves, the expansion force corresponding to the measured temperature value in the expansion force-temperature relationship curve is also the first predicted expansion force. This expansion force-temperature relationship curve is the expansion force-temperature relationship curve under the Nth charging cycle, which is consistent with the Nth charging cycle corresponding to the measured cell temperature.

[0131] In some embodiments, determining optimized cooling parameters based on expected cycle life, and / or determining optimized assembly parameters based on expected cycle life, includes:

[0132] Obtain the measured voltage of the short-board battery cell;

[0133] The predicted cycle life of the short-board cell is determined based on the measured voltage of the short-board cell.

[0134] Determine whether the absolute value of the difference between the predicted cycle life of the short-term cell and the minimum cycle life of the cell is less than or equal to a preset value.

[0135] If the absolute value of the difference between the predicted cycle life of the short-board cell and the minimum cycle life of the cell is less than or equal to the preset value, then the optimized cooling parameters are determined based on the expected cycle life, and / or the optimized assembly parameters are determined based on the expected cycle life.

[0136] The measured voltage of the short-board cell refers to the voltage of the short-board cell measured during charging when the battery pack is used in a vehicle. The predicted cycle life of the short-board cell is the cycle life predicted based on the measured voltage of the short-board cell. Determining the predicted cycle life of the short-board cell based on the measured voltage can include: predicting the short-board voltage impedance based on the measured voltage, and determining the predicted cycle life of the short-board cell based on the short-board voltage impedance. A regression model or empirical model of impedance-cycle count can be established to predict the cycle life through impedance. The preset value can be set according to actual needs, and this embodiment does not limit it.

[0137] In this embodiment, the cycle life predicted by the short-board cell can be used to re-evaluate the minimum cell cycle life to determine whether the minimum cell cycle life is accurate. Only when the absolute value of the difference between the predicted cycle life of the short-board cell and the minimum cell cycle life is less than or equal to a preset value, i.e., when the minimum cell cycle life is accurate, can the optimized cooling parameters be determined based on the expected cycle life, and / or the optimized assembly parameters be determined based on the expected cycle life. This can avoid parameter misconfiguration caused by inaccurate cycle life data.

[0138] It should be noted that if the absolute value of the difference between the predicted cycle life of the shortest cell and the minimum cell cycle life is greater than the preset value, it is necessary to obtain new predicted cycle life data for the cells of the new battery pack. For example, new cell capacity cycle number relationship curves, expansion force cycle number relationship curves, and expansion force temperature relationship curves should be constructed to predict the life of each cell based on the new cell capacity cycle number relationship curves, expansion force cycle number relationship curves, and expansion force temperature relationship curves.

[0139] Secondly, referring to Figure 7 This invention also provides a battery pack parameter determination device. The battery pack includes multiple partitions, each partition including battery cells and cooling components. The battery pack parameter determination device includes:

[0140] The acquisition module 201 is used to acquire the cycle life prediction data of the battery pack cells, wherein the cycle life prediction data includes multiple cell identifiers and multiple cell cycle lives corresponding to the multiple cell identifiers respectively.

[0141] The first determining module 202 is used to determine the minimum cycle life and the expected cycle life of each cell based on the cycle life of each cell, wherein the expected cycle life is greater than the minimum cycle life of the cell.

[0142] The second determining module 203 is used to determine the optimized cooling parameters based on the expected cycle life, and / or to determine the optimized assembly parameters based on the expected cycle life, wherein the optimized cooling parameters are configured in the cooling components of the partition where the short-board cell is located, and the optimized assembly parameters are configured at least in the short-board cell, and the short-board cell is the cell corresponding to the cell identifier corresponding to the minimum cell cycle life.

[0143] Output module 204 is used to output the cell identifier corresponding to the minimum cell cycle life, and to output the optimized cooling parameters and / or optimized assembly parameters.

[0144] In some embodiments, the acquisition module 201 includes:

[0145] The first acquisition submodule is used to acquire the measured value data of the battery cells in the Nth charging cycle. The measured value data includes multiple cell identifiers and multiple measured values ​​corresponding to the multiple cell identifiers.

[0146] The second acquisition submodule is used to acquire the cell capacity cycle number relationship curve and the expansion force cycle number relationship curve, and determine the final value of the cycle number corresponding to the cell capacity being the preset capacity in the cell capacity cycle number relationship curve;

[0147] The first determination submodule is used to determine multiple predicted expansion forces based on multiple measured values;

[0148] The second determination submodule is used to determine the cycle life of multiple cells based on multiple predicted expansion force, expansion force cycle number relationship curves and cycle number final values;

[0149] The component unit is used to combine the cycle life of multiple cells and the identification of multiple cells into cycle life prediction data.

[0150] In some embodiments, the cooling component is a side liquid-cooled plate through which coolant flows;

[0151] The second determining module 203 includes:

[0152] The third acquisition submodule is used to acquire the expansion force-temperature relationship curve, determine the expected expansion force based on the expected cycle life, the final value of the number of cycles and the expansion force-cycle number relationship curve, and determine the expected cell temperature based on the expected expansion force and the expansion force-temperature relationship curve.

[0153] The fourth acquisition submodule is used to acquire the measured temperature of the short circuit cell during the Nth charging cycle, determine the temperature difference between the measured temperature of the short circuit cell and the expected cell temperature, and acquire the initial charging liquid cooling temperature and the initial charging liquid cooling flow rate of the short circuit cell.

[0154] The third determining submodule is used to determine the optimized charging liquid cooling temperature and / or optimized charging liquid cooling flow rate based on the temperature difference, the initial charging liquid cooling temperature and / or the initial charging liquid cooling flow rate.

[0155] In some embodiments, the cooling component is a side liquid cooling plate through which coolant flows, and a pre-tightening member is connected to the side liquid cooling plate. The pre-tightening member is used to apply a pre-tightening force to the battery cell, and there is a gap between the side liquid cooling plate and the battery cell.

[0156] The second determining module 203 includes:

[0157] The fifth acquisition submodule is used to acquire the initial cell assembly gap, cell thickness, initial preload, core elastic modulus and contact area, and to acquire the measured expansion amount of the short-board cell during the Nth charging cycle;

[0158] The fourth determination submodule is used to determine the expected expansion force based on the relationship curve between the expected cycle life, the final value of the number of cycles, and the expansion force cycle number.

[0159] The fifth determination submodule is used to determine the optimized preload force based on the expected expansion force, preset expansion relationship, initial cell assembly gap, cell thickness, core elastic modulus, contact area, and measured expansion amount of the short-board cell;

[0160] Alternatively, the sixth determining submodule is used to determine the optimized cell assembly gap based on the expected expansion force, preset expansion relationship, initial preload, cell thickness, core elastic modulus, contact area, and measured expansion amount of the short-board cell.

[0161] In some embodiments, the measured values ​​include measured temperature and / or measured expansion.

[0162] The first determination submodule includes:

[0163] The first determining unit is used to determine multiple first predicted expansion forces based on multiple measured temperatures, and / or the second determining unit is used to determine multiple second predicted expansion forces based on multiple measured expansion amounts.

[0164] The second determination submodule includes:

[0165] The third determining unit is used to determine the cycle life of multiple cells based on multiple first predicted expansion forces and / or multiple second predicted expansion forces, expansion force cycle number relationship curves, and cycle number final values.

[0166] In some embodiments, the first determining unit includes:

[0167] The first acquisition subunit is used to acquire the expansion force-temperature relationship curve;

[0168] The first determining subunit is used to determine multiple first predicted expansion forces based on multiple measured temperature values ​​and expansion force-temperature relationship curves.

[0169] The second determining unit includes:

[0170] The second acquisition subunit is used to acquire the initial cell assembly gap, cell thickness, initial preload, core elastic modulus, and contact area.

[0171] The second determining subunit is used to determine multiple second predicted expansion forces based on the preset expansion relationship, initial cell assembly gap, cell thickness, initial preload, core elastic modulus, contact area, and multiple measured expansion values.

[0172] In some embodiments, the second determining module 203 is further configured to:

[0173] Obtain the measured voltage of the short-board battery cell;

[0174] The predicted cycle life of the short-board cell is determined based on the measured voltage of the short-board cell.

[0175] Determine whether the absolute value of the difference between the predicted cycle life of the short-term cell and the minimum cycle life of the cell is less than or equal to a preset value.

[0176] If the absolute value of the difference between the predicted cycle life of the short-board cell and the minimum cycle life of the cell is less than or equal to the preset value, then the optimized cooling parameters are determined based on the expected cycle life, and / or the optimized assembly parameters are determined based on the expected cycle life.

[0177] Thirdly, embodiments of the present invention also provide a readable storage medium storing a computer program, which, when executed by a processor, implements the above-described battery pack parameter determination method.

[0178] Fourthly, embodiments of the present invention also provide an electronic device, including a processor and a memory for storing processor-executable instructions; wherein the processor is configured to execute instructions to implement the above-described battery pack parameter determination method.

[0179] The processors mentioned above can also be general-purpose processors, such as central processing units (CPUs), network processors (NPs), etc.; they can also be digital signal processors (DSPs), application-specific integrated circuits (ASICs), field-programmable gate arrays (FPGAs), or other programmable logic devices, discrete gate or transistor logic devices, or discrete hardware components.

[0180] The aforementioned memory may include random access memory (RAM) or non-volatile memory, such as at least one disk storage device.

[0181] In the above embodiments, implementation can be achieved, in whole or in part, through software, hardware, firmware, or any combination thereof. When implemented in software, it can be implemented, in whole or in part, as a computer program product. A computer program product includes one or more computer instructions. When the computer program instructions are loaded and executed on a computer, the processes or functions according to the embodiments of the present invention are implemented, in whole or in part. The computer can be a general-purpose computer, a special-purpose computer, a computer network, or other programmable device. The computer instructions can be stored in a computer-readable storage medium or transmitted from one computer-readable storage medium to another. For example, computer instructions can be transmitted from one website, computer, server, or data center to another website, computer, server, or data center via wired (e.g., coaxial cable, fiber optic, digital subscriber line (DSL)) or wireless (e.g., infrared, wireless, microwave, etc.) means. The computer-readable storage medium can be any available medium that a computer can access or a data storage system such as a server or data center that integrates one or more available media. The available medium can be a magnetic medium (e.g., floppy disk, hard disk, magnetic tape), an optical medium (e.g., DVD), or a semiconductor medium (e.g., solid-state drive), etc.

[0182] It should be noted that, in this document, relational terms such as "first" and "second" are used merely to distinguish one entity or operation from another, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Furthermore, the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such a process, method, article, or apparatus. Without further limitations, an element defined by the phrase "comprising one..." does not exclude the presence of other identical elements in the process, method, article, or apparatus that includes that element.

[0183] The various embodiments in this specification are described in a related manner. Similar or identical parts between embodiments can be referred to mutually. Each embodiment focuses on describing the differences from other embodiments. In particular, the system embodiments are basically similar to the method embodiments, so the description is relatively simple; relevant parts can be referred to the descriptions of the method embodiments.

[0184] The above are merely preferred embodiments of the present invention and are not intended to limit the scope of protection of the present invention. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of the present invention are included within the scope of protection of the present invention.

Claims

1. A method for determining battery pack parameters, characterized in that, The battery pack includes multiple partitions, each partition including battery cells and cooling components. The method for determining the battery pack parameters includes: Obtain cycle life prediction data of the cells in the battery pack, wherein the cycle life prediction data includes multiple cell identifiers and multiple cell cycle lives corresponding to the multiple cell identifiers respectively; The minimum cell cycle life and the expected cycle life are determined based on the cycle life of each cell, wherein the expected cycle life is greater than the minimum cell cycle life. Optimized cooling parameters are determined based on the expected cycle life, and / or optimized assembly parameters are determined based on the expected cycle life, wherein the optimized cooling parameters are configured in the cooling components of the partition where the short-board cell is located, and the optimized assembly parameters are configured at least in the short-board cell, wherein the short-board cell is the cell corresponding to the cell identifier corresponding to the minimum cell cycle life. Output the cell identifier corresponding to the minimum cell cycle life, and output the optimized cooling parameters and / or the optimized assembly parameters.

2. The method for determining battery pack parameters according to claim 1, characterized in that, The step of obtaining the cycle life prediction data of the battery pack cells includes: The measured value data of the cells of the battery pack during the Nth charging cycle are obtained. The measured value data includes multiple cell identifiers and multiple measured values ​​corresponding to the multiple cell identifiers. Obtain the cell capacity cycle number relationship curve and the expansion force cycle number relationship curve, and determine the final value of the cycle number corresponding to the cell capacity being the preset capacity in the cell capacity cycle number relationship curve; Multiple predicted expansion forces are determined based on the multiple measured values; Multiple cell cycle lives are determined based on the predicted expansion force, the expansion force cycle number relationship curve, and the final value of the cycle number, respectively. The cycle life of multiple battery cells and the battery cell identifiers are combined to form cycle life prediction data.

3. The method for determining battery pack parameters according to claim 2, characterized in that, The cooling component is a side liquid-cooled plate through which coolant flows; The optimized cooling parameters are determined based on the expected cycle life, including: Obtain the expansion force-temperature relationship curve, determine the expected expansion force based on the expected cycle life, the final value of the number of cycles, and the expansion force-cycle number relationship curve, and determine the expected cell temperature based on the expected expansion force and the expansion force-temperature relationship curve; The measured temperature of the short-board cell during the Nth charging cycle is obtained, the temperature difference between the measured temperature of the short-board cell and the expected cell temperature is determined, and the initial charging liquid cooling temperature and initial charging liquid cooling flow rate of the short-board cell are obtained. The optimized charging liquid cooling temperature and / or optimized charging liquid cooling flow rate are determined based on the temperature difference, the initial charging liquid cooling temperature, and / or the initial charging liquid cooling flow rate.

4. The method for determining battery pack parameters according to claim 2, characterized in that, The cooling component is a side liquid cooling plate through which coolant flows. A pre-tightening member is connected to the side liquid cooling plate. The pre-tightening member is used to apply a pre-tightening force to the battery cell. There is a gap between the side liquid cooling plate and the battery cell. The step of determining the optimized assembly parameters based on the expected cycle life includes: The initial cell assembly gap, cell thickness, initial preload, core elastic modulus and contact area are obtained, and the measured expansion of the short-board cell during the Nth charging cycle is obtained. The expected expansion force is determined based on the expected cycle life, the final value of the number of cycles, and the relationship curve between the expansion force and the number of cycles. The optimized preload force is determined based on the expected expansion force, the preset expansion formula, the initial cell assembly gap, the cell thickness, the core elastic modulus, the contact area, and the measured expansion amount of the short-plate cell. Alternatively, the optimized cell assembly gap can be determined based on the expected expansion force, the preset expansion relationship, the initial preload, the cell thickness, the core elastic modulus, the contact area, and the measured expansion amount of the short-plate cell.

5. The method for determining battery pack parameters according to claim 2, characterized in that, The measured values ​​include measured temperature and / or measured expansion. The step of determining multiple predicted expansion forces based on multiple measured values ​​includes: Multiple first predicted expansion forces are determined based on multiple measured temperatures, and / or multiple second predicted expansion forces are determined based on multiple measured expansion amounts; Multiple cell cycle lives are determined based on the predicted expansion force, the expansion force cycle number relationship curve, and the final value of the cycle number, including: Multiple cell cycle lives are determined based on multiple first predicted expansion forces and / or multiple second predicted expansion forces, the expansion force cycle number relationship curve, and the final value of the cycle number.

6. The method for determining battery pack parameters according to claim 5, characterized in that, Multiple first predicted expansion forces are determined based on multiple measured temperatures, including: Obtain the expansion force-temperature relationship curve; Based on the measured temperature values ​​and the expansion force-temperature relationship curve, a plurality of first predicted expansion forces are determined respectively; Multiple second predicted expansion forces are determined based on multiple measured expansion quantities, including: Obtain the initial cell assembly gap, cell thickness, initial preload, core elastic modulus, and contact area; Multiple second predicted expansion forces are determined based on the preset expansion relationship, the initial cell assembly gap, the cell thickness, the initial preload, the core elastic modulus, the contact area, and multiple measured expansion values.

7. The method for determining battery pack parameters according to any one of claims 1 to 6, characterized in that, The step of determining the optimized cooling parameters based on the expected cycle life, and / or determining the optimized assembly parameters based on the expected cycle life, includes: Obtain the measured voltage of the short-board battery cell; The predicted cycle life of the short-board cell is determined based on the measured voltage of the short-board cell. Determine whether the absolute value of the difference between the predicted cycle life of the short-board cell and the minimum cycle life of the cell is less than or equal to a preset value. If the absolute value of the difference between the predicted cycle life of the short-board cell and the minimum cycle life of the cell is less than or equal to the preset value, then the optimized cooling parameters are determined based on the expected cycle life, and / or the optimized assembly parameters are determined based on the expected cycle life.

8. A battery pack parameter determining device, characterized in that, The battery pack includes multiple partitions, each partition including battery cells and cooling components. The battery pack parameter determination device includes: The acquisition module is used to acquire the cycle life prediction data of the cells of the battery pack, wherein the cycle life prediction data includes multiple cell identifiers and multiple cell cycle lives corresponding to the multiple cell identifiers respectively. The first determining module is used to determine the minimum cycle life and the expected cycle life of each battery cell based on the cycle life of each battery cell, wherein the expected cycle life is greater than the minimum cycle life of the battery cell. The second determining module is used to determine optimized cooling parameters based on the expected cycle life, and / or to determine optimized assembly parameters based on the expected cycle life, wherein the optimized cooling parameters are configured in the cooling components of the partition where the short-board cell is located, and the optimized assembly parameters are configured at least in the short-board cell, wherein the short-board cell is the cell corresponding to the cell identifier corresponding to the minimum cell cycle life. The output module is used to output the cell identifier corresponding to the minimum cell cycle life, and to output the optimized cooling parameters and / or the optimized assembly parameters.

9. A readable storage medium, characterized in that, The readable storage medium stores a computer program that, when executed by a processor, implements the battery pack parameter determination method as described in any one of claims 1 to 7.

10. An electronic device, characterized in that, include: processor; Memory for storing instructions executable by the processor; The processor is configured to execute the instructions to implement the battery pack parameter determination method as described in any one of claims 1 to 7.

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