Method and apparatus for determining battery assembly production end-of-line capacity

Abstract

The application provides a method and device for determining the production offline capacity of a battery assembly. The method comprises: obtaining first information of a battery cell, the first information comprising: a battery cell shipment capacity Ac, a first inventory period from the offline of the battery cell to the production of a large module, and a capacity attenuation simulation curve of the battery cell; conducting an attenuation experiment on the battery cell within the first inventory period to obtain first attenuation measured data U1; determining the large module production offline capacity A based on the first attenuation measured data U1, the first inventory period, and the capacity attenuation simulation curve λ of the battery cell M ; obtaining second information of the large module, the second information comprising: a second inventory period from the offline of the large module to the production of a battery assembly; conducting an attenuation experiment on the large module within the second inventory period to obtain second attenuation measured data U2; determining the capacity A of the battery assembly production offline based on the second attenuation measured data U2, the second inventory period, and the capacity attenuation simulation curve λ of the battery cell P .

Description

Technical Field

[0001] This invention relates to the field of battery technology, and more specifically, to a method and apparatus for determining the production capacity of a battery assembly. Background Technology

[0002] With charging, discharging, and daily storage, the capacity of power batteries inevitably declines. Battery capacity is a crucial indicator in the mandatory vehicle inspection announcement. From cell production to battery assembly completion, there is often a long production and inventory cycle, during which battery capacity decays. Furthermore, battery assemblies must meet the mandatory vehicle inspection announcement's requirements upon completion. The charging and discharging function of a battery assembly is essentially an electrochemical reaction, thus exhibiting the inherent characteristic of capacity decay. Moreover, since battery assemblies typically consist of numerous cells, and given their large capacity and high cost, conducting end-of-line capacity testing is time-consuming and impacts assembly lifespan. Therefore, it is often impossible to conduct end-of-line capacity testing for each battery assembly. In most cases, only cell-level capacity decay tests are performed. However, directly applying cell-level capacity decay test results to the battery assembly often introduces errors and fails to characterize the actual capacity decay of the battery assembly. Summary of the Invention

[0003] The main objective of this invention is to provide a method and apparatus for determining the production capacity of a battery assembly, in order to solve the problem of inaccurate actual capacity degradation of battery assemblies in the prior art.

[0004] To achieve the above objectives, according to one aspect of the present invention, a method for determining the production capacity of a battery assembly is provided, comprising: acquiring first information about the battery cell, wherein the first information includes at least: the battery cell's shipment capacity Ac, a first inventory period T1 from the battery cell's production line completion to its assembly into a large module, and a battery cell's capacity decay simulation curve; conducting a decay experiment on the battery cell during the first inventory period T1 to obtain first measured decay data U1; and determining the large module's production capacity A based on the first measured decay data U1, the first inventory period T1, and the battery cell's capacity decay simulation curve λ. M The second information of the large module is obtained, which includes at least: the second inventory period T2 from the large module's production line completion to the production of the battery assembly; a degradation experiment is conducted on the large module during the second inventory period T2 to obtain the second degradation measurement data U2; based on the second degradation measurement data U2, the second inventory period T2, and the cell capacity degradation simulation curve λ, the capacity A of the battery assembly after production is determined. P .

[0005] Furthermore, based on the first attenuation measured data U1, the first inventory period T1, and the cell capacity attenuation simulation curve λ, the production capacity A of the large module is determined. MThis includes: determining the large module production capacity correction coefficient f1 based on the first attenuation measured data U1, the first inventory period T1, and the cell capacity attenuation simulation curve λ; and determining the large module production capacity A based on the large module production capacity correction coefficient f1. M Among them, the production capacity of large modules is A M =A C -f1*λ T1 , λ T1 The value of cell capacity decay at time T1 is calculated based on the simulated capacity decay curve λ of the cell.

[0006] Furthermore, based on the second measured attenuation data U2, the second inventory period T2, and the simulated capacity attenuation curve λ of the battery cell, the production capacity A of the battery assembly is determined. P This includes: determining the battery assembly production capacity correction factor f2 based on the second measured attenuation data U2, the second inventory period T2, and the cell capacity attenuation simulation curve λ; and determining the battery assembly production capacity A based on the battery assembly production capacity correction factor f2. P Among them, the battery assembly production line capacity A P =A M -f2*(λ T1+T2 -λ T1 ), λ T1+T2 The value of cell capacity decay is calculated based on the simulated capacity decay curve λ of the cell, during the sum of the first inventory period T1 and the second inventory period T2.

[0007] Furthermore, based on the second measured data U2, the second inventory cycle T2, and the simulated capacity decay curve λ of the battery cell, the production capacity A of the battery assembly is determined. P This then includes: determining the production capacity A of the battery assembly. P Is it greater than or equal to the set value? (This is in the process of determining the production capacity A of the battery assembly.) P When the battery assembly production capacity A is greater than or equal to the set value, P Meets production requirements.

[0008] Furthermore, the degradation experiment is carried out on the battery cells during the first inventory period T1 to obtain the first degradation measured data U1, which includes: obtaining the number of battery cells n, where n≥3000; carrying out the degradation experiment on n battery cells during the first inventory period T1 to obtain the normal distribution of the battery cell capacity; and obtaining the first degradation measured data U1 based on the average value of the battery cell capacity after the degradation experiment.

[0009] Furthermore, during the second inventory period T2, a decay experiment is conducted on the large modules to obtain the second decay measurement data U2, including: obtaining the number of large modules m, where m≥100; conducting a decay experiment on m large modules during the second inventory period T2 to obtain the normal distribution of the cell capacity inside the large modules; and obtaining the second decay measurement data U2 based on the average cell capacity inside the large modules after the decay experiment.

[0010] According to another aspect of the present invention, a battery assembly production line capacity design apparatus is provided, comprising: a first acquisition unit for acquiring first information of a battery cell, wherein the first information includes at least: the battery cell shipment capacity Ac, a first inventory period T1 from the battery cell's production line to its assembly into a large module, and a battery cell capacity decay simulation curve; a second acquisition unit for conducting a decay experiment on the battery cell during the first inventory period T1 to obtain first decay measured data U1; and a first determination unit for determining the large module production line capacity A based on the first decay measured data U1, the first inventory period T1, and the battery cell capacity decay simulation curve λ. M The third acquisition unit is used to acquire the second information of the large module, wherein the second information includes at least the second inventory period T2 from the large module's production line completion to the production of the battery assembly; the fourth acquisition unit is used to conduct a degradation experiment on the large module during the second inventory period T2 to obtain the second degradation measured data U2; the second determination unit is used to determine the capacity A of the battery assembly after production line completion based on the second degradation measured data U2, the second inventory period T2, and the cell capacity degradation simulation curve λ. P .

[0011] According to another aspect of the present invention, a computer-readable storage medium is provided, the computer-readable storage medium including a stored program, wherein, when the program is executed, the device on which the computer-readable storage medium is located executes the method for determining the production capacity of the battery assembly.

[0012] According to another aspect of the present invention, a processor is provided for running a program, wherein the program executes the method for determining the production capacity of the battery assembly as described above.

[0013] According to another aspect of the present invention, a power battery is provided, which is designed using the method for determining the production capacity of the battery assembly described above.

[0014] By applying the technical solution of this invention, based on the first information of the battery cell, a degradation experiment is conducted on the battery cell during a first inventory period to obtain first measured degradation data. The production capacity of the large module is calculated based on the first measured degradation data. Then, based on the production capacity of the large module, a degradation experiment is conducted on the large module during a second inventory period to obtain second measured degradation data. The production capacity of the battery assembly is calculated based on the second measured degradation data. By fitting the simulated battery cell capacity degradation results, the measured battery cell capacity degradation test results, and the measured module capacity degradation results, the design of the standard battery assembly production capacity can be accurately guided, and the accurate value of the battery assembly production capacity can be obtained. This reduces the investment of capacity testing resources and ensures that the battery meets regulatory capacity requirements. Attached Figure Description

[0015] The accompanying drawings, which form part of this application, are used to provide a further understanding of the invention. The illustrative embodiments of the invention and their descriptions are used to explain the invention and do not constitute an undue limitation of the invention. In the drawings:

[0016] Figure 1 A flowchart illustrating a first embodiment of a method for determining the production capacity of a battery assembly according to the present invention is shown.

[0017] Figure 2 A flowchart illustrating a second embodiment of the method for determining the production capacity of a battery assembly according to the present invention is shown.

[0018] Figure 3 A schematic diagram of the structure of a first embodiment of a battery assembly production line capacity determination device according to the present invention is shown;

[0019] Figure 4 A schematic diagram of a first embodiment of the battery assembly according to the present invention is shown;

[0020] Figure 5 A schematic flow diagram of the lower housing assembly of the battery assembly according to the present invention is shown;

[0021] Figure 6 A schematic diagram of the structure of a large module of the battery assembly according to the present invention is shown.

[0022] The above figures include the following reference numerals:

[0023] 1. Lower housing assembly; 11. First side beam; 12. Second side beam; 13. Liquid cooling plate; 14. Third side beam; 15. Fourth side beam;

[0024] 2. Large module; 21. First end plate; 22. Battery cell; 23. Second end plate; 24. Hot-pressed CCS assembly. Detailed Implementation

[0025] It should be noted that, unless otherwise specified, the embodiments and features described in this application can be combined with each other. The present invention will now be described in detail with reference to the accompanying drawings and embodiments.

[0026] It should be noted that the terminology used herein is for the purpose of describing particular embodiments only and is not intended to limit the exemplary embodiments according to this application. As used herein, the singular form is intended to include the plural form as well, unless the context clearly indicates otherwise. Furthermore, it should be understood that when the terms "comprising" and / or "including" are used in this specification, they indicate the presence of features, steps, operations, devices, components, and / or combinations thereof.

[0027] It should be noted that the terms "first," "second," etc., in the specification, claims, and accompanying drawings of this application are used to distinguish similar objects and are not necessarily used to describe a specific order or sequence. It should be understood that such terms can be used interchangeably where appropriate so that the embodiments of this application described herein can be implemented, for example, in orders other than those illustrated or described herein. Furthermore, the terms "comprising" and "having," and any variations thereof, are intended to cover a non-exclusive inclusion; for example, a process, method, system, product, or apparatus that comprises a series of steps or units is not necessarily limited to those steps or units explicitly listed, but may include other steps or units not explicitly listed or inherent to such processes, methods, products, or apparatus.

[0028] Exemplary embodiments according to this application will now be described in more detail with reference to the accompanying drawings. However, these exemplary embodiments may be implemented in many different forms and should not be construed as being limited to the embodiments set forth herein. It should be understood that these embodiments are provided so that the disclosure of this application is thorough and complete, and that the concept of these exemplary embodiments is fully conveyed to those skilled in the art. In the drawings, for clarity, the thickness of layers and regions may be exaggerated, and the same reference numerals are used to denote the same devices, and therefore their description will be omitted.

[0029] Combination Figures 1 to 6 As shown in the figure, according to a specific embodiment of the present invention, a method for determining the production capacity of a battery assembly is provided.

[0030] Specifically, such as Figure 1As shown, the method for determining the production capacity of a battery assembly includes: obtaining first information about the battery cells, wherein the first information includes at least: the battery cell shipment capacity Ac, the first inventory period T1 from the battery cell's production line to its assembly into a large module, and the battery cell's capacity decay simulation curve; conducting a decay experiment on the battery cells during the first inventory period T1 to obtain first decay measurement data U1; and determining the large module production capacity A based on the first decay measurement data U1, the first inventory period T1, and the battery cell's capacity decay simulation curve λ. M The second information of the large module is obtained, which includes at least: the second inventory period T2 from the large module's production line completion to the production of the battery assembly; a degradation experiment is conducted on the large module during the second inventory period T2 to obtain the second degradation measurement data U2; based on the second degradation measurement data U2, the second inventory period T2, and the cell capacity degradation simulation curve λ, the capacity A of the battery assembly after production is determined. P .

[0031] In this embodiment, based on the first information of the battery cell, a degradation experiment is conducted on the cell during the first inventory period to obtain first measured degradation data. The production capacity of the large module is calculated based on this first measured degradation data. Then, based on the production capacity of the large module, a degradation experiment is conducted on the large module during the second inventory period to obtain second measured degradation data. The production capacity of the battery assembly is calculated based on this second measured degradation data. By fitting the simulated cell capacity degradation results, the measured cell capacity degradation test results, and the measured module capacity degradation results, the system can accurately guide the standard design of the battery assembly production capacity and obtain an accurate value for the battery assembly production capacity, reducing the investment in capacity testing resources and ensuring that the battery meets regulatory capacity requirements.

[0032] Furthermore, based on the first attenuation measured data U1, the first inventory period T1, and the cell capacity attenuation simulation curve λ, the production capacity A of the large module is determined. M This includes: determining the large module production capacity correction coefficient f1 based on the first attenuation measured data U1, the first inventory period T1, and the cell capacity attenuation simulation curve λ; and determining the large module production capacity A based on the large module production capacity correction coefficient f1. M Among them, the production capacity of large modules is A M =A C -f1*λ T1 , λ T1 To determine the cell capacity decay value at time T1 during the first inventory period, based on the simulated cell capacity decay curve λ, this embodiment determines the large module's production capacity A based on the simulated cell decay and measured data. MBased on the cell capacity decay simulation curve λ, the first inventory period T1, and the first decay measurement data U1 after the decay test, the capacity correction coefficient f1 for the large module is calculated. M =A C -f1*λ T1 , where λ T1 This is the value of cell capacity decay at time T1 based on the cell simulation curve.

[0033] Furthermore, based on the second measured attenuation data U2, the second inventory period T2, and the simulated capacity attenuation curve λ of the battery cell, the production capacity A of the battery assembly is determined. P This includes: determining the battery assembly production capacity correction factor f2 based on the second measured attenuation data U2, the second inventory period T2, and the cell capacity attenuation simulation curve λ; and determining the battery assembly production capacity A based on the battery assembly production capacity correction factor f2. P Among them, the battery assembly production line capacity A P =A M -f2*(λ T1+T2 -λ T1 ), λ T1+T2 To calculate the cell capacity decay value during the sum of the first inventory period T1 and the second inventory period T2, based on the cell capacity decay simulation curve λ, this embodiment calculates the full-pack capacity correction coefficient f2 based on the cell capacity decay simulation curve λ, the second inventory period T2, and the second decay measurement data U2 after the large module decay test. P =A M -f2*(λ T1+T2 -λ T1 ), where λ T1+T2 This is the numerical value of the cell capacity decay over time T1+T2 based on the cell simulation curve.

[0034] Furthermore, based on the second measured attenuation data U2, the second inventory period T2, and the simulated capacity attenuation curve λ of the battery cell, the production capacity A of the battery assembly is determined. P This then includes: determining the production capacity A of the battery assembly. P Is it greater than or equal to the set value? (This is in the process of determining the production capacity A of the battery assembly.) P When the battery assembly production capacity A is greater than or equal to the set value, P This meets production requirements. In this embodiment, the set value is the battery assembly mandatory inspection announcement capacity A. G The factory production consistency safety factor is f3 (103% ≤ f3). Since the battery assembly's production capacity must exceed the capacity announced in the mandatory inspection to meet regulatory requirements, A is required to... P ≥A G *f3.

[0035] Further, the degradation experiment of the battery cells is carried out during the first inventory period T1 to obtain the first degradation measured data U1, which includes: obtaining the number of battery cells n, where n≥3000; carrying out the degradation experiment on n battery cells during the first inventory period T1 to obtain the normal distribution of the battery cell capacity; and obtaining the first degradation measured data U1 based on the average battery cell capacity after the degradation experiment. In this embodiment, the battery cell capacity degradation experiment is carried out and the measured data of battery cell degradation is obtained. For n battery cells (n≥3000), under the conditions of room temperature 25℃ and shipping SOC value k (20%≤k≤70%), the capacity degradation experiment is carried out for inventory time T1. After the experiment, the battery cell capacity is determined according to the normal distribution 3σ criterion (U1-3σ, U1+3σ) to determine the average battery cell capacity U1 after the degradation experiment.

[0036] Furthermore, during the second inventory period T2, a capacity decay experiment is conducted on the large modules to obtain the second measured capacity decay data U2. This includes: obtaining the number of large modules m, where m ≥ 100; conducting a capacity decay experiment on m large modules during the second inventory period T2 to obtain the normal distribution of the cell capacity inside the large modules; and obtaining the second measured capacity decay data U2 based on the average cell capacity inside the large modules after the capacity decay experiment. In this embodiment, a capacity decay experiment is conducted on large modules. For m production modules (m ≥ 100), a capacity decay experiment is performed for inventory period T2 at room temperature of 25℃. After the experiment, the average cell capacity U2 after the capacity decay experiment is determined according to the normal distribution 3σ criterion (U2 - 3σ, U2 + 3σ).

[0037] According to another aspect of the present invention, a battery assembly production line capacity design apparatus is provided, comprising: a first acquisition unit for acquiring first information of a battery cell, wherein the first information includes at least: the battery cell shipment capacity Ac, a first inventory period T1 from the battery cell's production line to its assembly into a large module, and a battery cell capacity decay simulation curve; a second acquisition unit for conducting a decay experiment on the battery cell during the first inventory period T1 to obtain first decay measured data U1; and a first determination unit for determining the large module production line capacity A based on the first decay measured data U1, the first inventory period T1, and the battery cell capacity decay simulation curve λ. M The third acquisition unit is used to acquire the second information of the large module, wherein the second information includes at least the second inventory period T2 from the large module's production line completion to the production of the battery assembly; the fourth acquisition unit is used to conduct a degradation experiment on the large module during the second inventory period T2 to obtain the second degradation measured data U2; the second determination unit is used to determine the capacity A of the battery assembly after production line completion based on the second degradation measured data U2, the second inventory period T2, and the cell capacity degradation simulation curve λ. P .

[0038] According to another aspect of the present invention, a computer-readable storage medium is provided, the computer-readable storage medium including a stored program, wherein, when the program is executed, the device where the computer-readable storage medium is located executes the above-described method for determining the production capacity of a battery assembly. Specifically, a method for determining the production capacity of a battery assembly includes: acquiring first information about the battery cell, wherein the first information includes at least: the battery cell shipment capacity Ac, a first inventory period T1 from the battery cell's production line to its formation into a large module, and a battery cell capacity decay simulation curve; conducting a decay experiment on the battery cell during the first inventory period T1 to obtain first decay measured data U1; and determining the large module production capacity A based on the first decay measured data U1, the first inventory period T1, and the battery cell capacity decay simulation curve λ. M The second information of the large module is obtained, which includes at least: the second inventory period T2 from the large module's production line completion to the production of the battery assembly; a degradation experiment is conducted on the large module during the second inventory period T2 to obtain the second degradation measurement data U2; based on the second degradation measurement data U2, the second inventory period T2, and the cell capacity degradation simulation curve λ, the capacity A of the battery assembly after production is determined. P .

[0039] According to another aspect of the present invention, a processor is provided, which runs a program, wherein the program executes the above-described method for determining the production capacity of a battery assembly. Specifically, the method for determining the production capacity of a battery assembly includes: acquiring first information about the battery cells, wherein the first information includes at least: the battery cell shipment capacity Ac, a first inventory period T1 from the battery cell's production line completion to its assembly into a large module, and a battery cell capacity decay simulation curve; conducting a decay experiment on the battery cells during the first inventory period T1 to obtain first decay measurement data U1; and determining the large module production capacity A based on the first decay measurement data U1, the first inventory period T1, and the battery cell capacity decay simulation curve λ. M The second information of the large module is obtained, which includes at least: the second inventory period T2 from the large module's production line completion to the production of the battery assembly; a degradation experiment is conducted on the large module during the second inventory period T2 to obtain the second degradation measurement data U2; based on the second degradation measurement data U2, the second inventory period T2, and the cell capacity degradation simulation curve λ, the capacity A of the battery assembly after production is determined. P .

[0040] like Figure 4As shown, according to another aspect of the present invention, a power battery is provided, designed using the method described above for determining the production capacity of the battery assembly. Specifically, the battery assembly includes a lower housing assembly 1 and large modules 2, the number of large modules 2 being s (s≥2). The lower housing assembly 1 is a frame structure with a liquid cooling plate integrated at the bottom. The battery assembly contains multiple large modules 2, which are bonded to the liquid cooling plate of the lower housing assembly 1 using thermally conductive structural adhesive.

[0041] like Figure 5 As shown, the lower housing assembly 1 includes a first side beam 11, a second side beam 12, a liquid cooling plate 13, a third side beam 14, and a fourth side beam 15. The first side beam 11, second side beam 12, third side beam 14, and fourth side beam 15 are made of high-strength steel with a tensile strength ≥700MPa, and are manufactured using a roll forming process, containing internal structural cavities. The four side beams are interconnected using CMT welding (cold metal transfer welding technology) to form a frame housing structure. The frame structure formed by the four side beams is integrated with the liquid cooling plate 13 using structural adhesive and riveting processes. The liquid cooling plate 13 is manufactured using an aluminum plate brazing process.

[0042] like Figure 6 As shown, the large module 2 includes a first end plate 21, a battery cell 22, a second end plate 23, and a hot-pressed CCS assembly 24. The first end plate 21 and the second end plate 23 are made of aluminum profiles and are located at both ends of the large module 2. The battery cell 22 consists of multiple cells (≥12 cells), which are prismatic cells bonded together. The hot-pressed CCS assembly 24 is located on top of the large module 2 and is laser-welded to the electrode post of the battery cell 22.

[0043] like Figure 2 As shown, in another embodiment of this application, a method for designing the capacity of a battery assembly production line is provided, mainly including the following steps:

[0044] S1. Obtain basic data of the battery cell, including the battery cell shipment capacity Ac, the battery cell capacity decay simulation curve λ, and the inventory cycle T1 from the battery cell off the production line to the production of large modules.

[0045] S2. Conduct cell capacity decay tests and obtain measured data U1 of cell capacity decay.

[0046] S3. Based on the simulated cell attenuation curve λ, the measured cell attenuation data U1, and the inventory cycle T1, determine the production capacity A of the large module. M .

[0047] S4. Obtain basic data for large modules and battery assemblies, including the inventory cycle T2 from the large module's production line completion to the production of battery assemblies, and the battery assembly's mandatory inspection announcement capacity A. G .

[0048] S5. Conduct large module attenuation tests to obtain measured data U2 of large module capacity attenuation.

[0049] S6. Calculate and determine the production capacity A of the entire battery pack. P .

[0050] like Figure 3 As shown, in another embodiment of this application, an apparatus for designing the capacity of a battery assembly production line is provided, including a parameter acquisition module, a degradation test module, and a calculation and analysis module. The parameter acquisition module is used to obtain the cell shipment capacity A. C The module includes: a cell capacity decay simulation curve λ; a cell shipment SOC value; a decay test module for conducting capacity decay tests on n cells and m large modules, ensuring test temperature, and obtaining measured data on cell capacity decay and large module capacity decay after the test; and a calculation and analysis module for calculating and analyzing capacity correction coefficients f1 and f2, cell capacity 3σ normal distribution (U1-3σ, U1+3σ), (U2-3σ, U2+3σ), cell decay capacity, and battery assembly shipment capacity.

[0051] For ease of description, spatial relative terms such as "above," "on top of," "on the upper surface of," "above," etc., are used herein to describe the spatial positional relationship of a device or feature as shown in the figures to other devices or features. It should be understood that spatial relative terms are intended to encompass different orientations in use or operation beyond the orientation of the device as described in the figures. For example, if the device in the figures were inverted, a device described as "above" or "on top of" other devices or structures would subsequently be positioned as "below" or "under" other devices or structures. Thus, the exemplary term "above" can include both "above" and "below." The device may also be positioned in other different ways (rotated 90 degrees or in other orientations), and the spatial relative descriptions used herein will be interpreted accordingly.

[0052] In addition to the above, it should be noted that the terms "one embodiment," "another embodiment," and "embodiment" used in this specification refer to specific features, structures, or characteristics described in connection with that embodiment, which are included in at least one embodiment described in the general description of this application. The appearance of the same expression in multiple places in the specification does not necessarily refer to the same embodiment. Furthermore, when a specific feature, structure, or characteristic is described in connection with any embodiment, the intention is to suggest that implementing such a feature, structure, or characteristic in conjunction with other embodiments also falls within the scope of this invention.

[0053] In the above embodiments, the descriptions of each embodiment have different focuses. For parts not described in detail in a certain embodiment, please refer to the relevant descriptions in other embodiments.

[0054] The above are merely preferred embodiments of the present invention and are not intended to limit the present invention. Various modifications and variations can be made to the present invention by those skilled in the art. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of the present invention should be included within the scope of protection of the present invention.

Claims

1. A method for determining the production capacity of a battery assembly, characterized in that, include: Obtain first information about the battery cell, wherein the first information includes at least: the battery cell shipment capacity Ac, the first inventory period T1 from the battery cell off the production line to the production of a large module, and the capacity decay simulation curve of the battery cell; During the first inventory period T1, a decay experiment was conducted on the battery cell to obtain the first decay measurement data U1. Based on the first measured attenuation data U1, the first inventory period T1, and the simulated capacity attenuation curve λ of the battery cell, the production capacity A of the large module is determined. M ; Obtain second information about the large module, wherein the second information includes at least: the second inventory cycle T2 from the large module's production line completion to its assembly into a battery assembly; During the second inventory cycle T2, an attenuation experiment was conducted on the large module to obtain the second attenuation measurement data U2. Based on the second measured attenuation data U2, the second inventory period T2, and the simulated capacity attenuation curve λ of the battery cell, the capacity A of the battery assembly produced is determined. P ; Specifically, based on the first measured attenuation data U1, the first inventory period T1, and the simulated capacity attenuation curve λ of the battery cell, the production capacity A of the large module is determined. M This includes: determining the large module's production capacity correction coefficient f1 based on the first measured attenuation data U1, the first inventory period T1, and the cell's capacity attenuation simulation curve λ; and determining the large module's production capacity A based on the large module's production capacity correction coefficient f1. M Wherein, the production capacity A of the large module production line M = A C - f1*λ T1 , λ T1 To determine the value of the battery cell's capacity decay at time T1 in the first inventory period, based on the simulated capacity decay curve λ of the battery cell. Based on the second measured attenuation data U2, the second inventory period T2, and the simulated capacity attenuation curve λ of the battery cell, the production capacity A of the battery assembly is determined. P This includes: determining the battery assembly production capacity correction coefficient f2 based on the second measured attenuation data U2, the second inventory period T2, and the simulated capacity attenuation curve λ of the battery cell; and determining the battery assembly production capacity A based on the battery assembly production capacity correction coefficient f2. P Wherein, the battery assembly production line capacity A P = A M - f2*(λ T1+T2 -λ T1 ), λ T1+T2 The value of the battery cell capacity decay is calculated based on the simulated capacity decay curve λ of the battery cell during the sum of the first inventory period T1 and the second inventory period T2.

2. The method according to claim 1, characterized in that, Based on the second measured attenuation data U2, the second inventory period T2, and the simulated capacity attenuation curve λ of the battery cell, the production capacity A of the battery assembly is determined. P The following includes: Determine the production capacity A of the battery assembly. P Is it greater than or equal to the set value? Determine the production line capacity A of the battery assembly P When the battery assembly production capacity A is greater than or equal to the set value, P Meets production requirements.

3. The method according to claim 1, characterized in that, During the first inventory period T1, a degradation experiment is conducted on the battery cell to obtain the first degradation measurement data U1, which includes: Obtain the number n of the battery cells, where n≥3000; During the first inventory period T1, a decay experiment is conducted on n cells to obtain a normal distribution of the cell capacity. The first measured attenuation data U1 is obtained based on the average cell capacity after the attenuation test.

4. The method according to claim 1, characterized in that, During the second inventory cycle T2, an attenuation experiment was conducted on the large module to obtain the second attenuation measurement data U2, including: Obtain the number m of the large modules, where m ≥ 100; During the second inventory period T2, attenuation experiments were conducted on m of the large modules to obtain the normal distribution of the cell capacity inside the large modules; The second attenuation measurement data U2 is obtained based on the average value of the internal cell capacity of the large module after the attenuation test.

5. A battery assembly production line capacity design device, characterized in that, include: The first acquisition unit is used to acquire the first information of the battery cell, wherein the first information includes at least: the battery cell shipment capacity Ac, the first inventory period T1 from the battery cell off the production line to the production of a large module, and the capacity decay simulation curve of the battery cell. The second acquisition unit is used to conduct a decay experiment on the battery cell during the first inventory period T1 to obtain the first decay measurement data U1. The first determining unit is used to determine the production capacity A of the large module based on the first measured attenuation data U1, the first inventory period T1, and the capacity attenuation simulation curve λ of the battery cell. M ; The third acquisition unit is used to acquire the second information of the large module, wherein the second information includes at least the second inventory cycle T2 from the large module being rolled off the production line to being produced into a battery assembly; The fourth acquisition unit is used to conduct an attenuation experiment on the large module during the second inventory cycle T2 time period to obtain the second attenuation measurement data U2. The second determining unit is used to determine the capacity A of the battery assembly produced from the production line based on the second measured attenuation data U2, the second inventory period T2, and the capacity attenuation simulation curve λ of the battery cell. P ; The first determining unit is further configured to determine the large module production capacity correction coefficient f1 based on the first measured attenuation data U1, the first inventory period T1, and the cell's capacity attenuation simulation curve λ; and to determine the large module production capacity A based on the large module production capacity correction coefficient f1. M Wherein, the production capacity A of the large module production line M = A C - f1*λ T1 , λ T1 To determine the value of the battery cell's capacity decay at time T1 in the first inventory period, based on the simulated capacity decay curve λ of the battery cell. The second determining unit is further configured to determine the battery assembly production capacity correction coefficient f2 based on the second measured attenuation data U2, the second inventory period T2, and the cell's capacity attenuation simulation curve λ; and to determine the battery assembly production capacity A based on the battery assembly production capacity correction coefficient f2. P Wherein, the production capacity A of the battery assembly is... P = A M - f2*(λ T1+T2 -λ T1 ), λ T1+T2 The value of the battery cell capacity decay is calculated based on the simulated capacity decay curve λ of the battery cell during the sum of the first inventory period T1 and the second inventory period T2.

6. A computer-readable storage medium, characterized in that, The computer-readable storage medium includes a stored program, wherein, when the program is executed, it controls the device containing the computer-readable storage medium to perform the method for determining the production capacity of the battery assembly as described in any one of claims 1 to 4.

7. A processor, characterized in that, The processor is used to run a program, wherein the program executes the method for determining the production capacity of the battery assembly as described in any one of claims 1 to 4.

8. A power battery, characterized in that, The design is carried out using the method for determining the production capacity of the battery assembly as described in any one of claims 1 to 4.

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