Lithium ion battery production line grading capacity calibration method and system

Abstract

The invention discloses a lithium ion battery production line capacity grading capacity calibration method and system, and relates to the technical field of lithium battery testing and calibration, and the method comprises the steps: obtaining the production line actual capacity grading capacity and the production line actual capacity grading initial temperature of a plurality of lithium battery cells in the actual production line capacity grading process; respectively substituting into a production line capacity grading capacity calibration equation, and outputting the capacity grading capacity of each lithium battery cell after calibration; the construction of the production line capacity grading capacity calibration equation comprises the following steps: obtaining the fitting capacity of each lithium battery cell sample under 25 DEG C capacity grading of a production line and the calibration capacity of a constant temperature box at 25 DEG C; calculating a conversion coefficient according to the fitting capacity and the calibration capacity; and on the basis of the production line temperature-capacity grading capacity relation curve and the conversion coefficient, constructing a calibration equation among the calibration capacity of the constant-temperature box at 25 DEG C, the actual capacity grading capacity of the production line and the actual capacity grading starting temperature of the production line. According to the method, the lithium ion battery grading capacity which is more accurate and closer to the actual demand calibration capacity can be obtained.

Description

Technical Field

[0001] The present invention relates to the technical field of lithium battery testing and calibration, and in particular to a lithium ion battery production line capacity calibration method and system. Background Art

[0002] The statements in this section merely provide background information related to the present invention and do not necessarily constitute prior art.

[0003] Lithium-ion batteries are widely used in the digital and power energy industries due to their high energy density, long cycle life and no memory effect. Lithium-ion batteries need to be grouped before leaving the factory to ensure that the battery capacity, internal resistance, self-discharge, voltage, etc. in each group are close to the same, so that the service life of the battery module can be effectively increased during use. This requires the voltage, internal resistance and capacity of lithium battery cells to be screened, that is, capacity-based grouping.

[0004] At present, the industry relies on the capacity division process to determine the capacity of lithium battery cells. The capacity division process usually allows the cells to be fully charged at a constant current and constant voltage in a capacity division cabinet, and then discharged at a certain rate of constant current according to the process or customer requirements after a period of time. The amount of electricity discharged by the cell at this time is its capacity. The lithium battery cells are distinguished according to the capacity, which is called capacity division. Through capacity division, single cells with the same capacity and similar performance are selected and combined, so as to classify and group the cells. However, since the capacity division process often releases heat, the temperature difference at each position in the capacity division cabinet is large, and the temperature of the capacity division environment fluctuates significantly at different times of the year. Since the cell capacity varies greatly with the discharge temperature, the cell capacity test is ultimately inaccurate. At the same time, the production line capacity division environment is a relatively stable airflow environment, and the actual demand (or customer requirement) often requires the capacity calibrated in a 25°C constant temperature box, and the environment is a strong convection environment. Due to the above two factors, there is a large difference between the production line capacity division and the actual demand calibrated capacity, the capacity division capacity is "distorted", and the shipment to the customer end often causes quality problems such as excessive discharge voltage difference. Summary of the invention

[0005] In order to solve the above-mentioned deficiencies of the prior art, the present invention provides a lithium-ion battery production line capacity calibration method and system, which solves the problem of inaccurate capacity calibration of the existing lithium-ion battery production line in the actual production process, realizes effective calibration of the capacity calibration, and obtains lithium-ion battery capacity calibration that is more accurate and closer to the actual demand.

[0006] In a first aspect, the present invention provides a method for calibrating the capacity of a lithium-ion battery production line.

[0007] A lithium-ion battery production line capacity calibration method, comprising:

[0008] Obtain the actual capacity of a number of lithium battery cells during the actual capacity division process and the actual capacity division starting temperature of the production line;

[0009] Substitute the actual capacity of each lithium battery cell and the actual starting temperature of the production line into the production line capacity calibration equation, and output the calibrated capacity of each lithium battery cell; wherein, the construction of the production line capacity calibration equation includes:

[0010] Obtain the fitted capacity of each lithium battery cell sample at 25°C on the production line and the rated capacity at 25°C in a constant temperature box;

[0011] The conversion coefficient is calculated based on the fitted capacity and the calibrated capacity;

[0012] Based on the production line temperature-division capacity relationship curve and conversion coefficient, a calibration equation is constructed between the calibrated capacity of the constant temperature chamber at 25°C and the actual division capacity of the production line and the actual division starting temperature of the production line.

[0013] A further technical solution is to obtain the production line temperature-capacity relationship curve, including:

[0014] Obtain the discharge capacity and discharge starting temperature of several lithium battery cell samples during the capacity division process of the production line; the discharge capacity is the capacity division capacity, and the discharge starting temperature is the capacity division starting temperature;

[0015] Based on the fractional capacity and the fractional starting temperature, after preprocessing, a production line temperature-fractional capacity relationship curve under the production line environment is fitted; wherein, the preprocessing is to filter and delete discrete data.

[0016] A further technical solution is to fit the production line temperature-capacity relationship curve under the production line environment, which is: y = ax 2 +bx+c;

[0017] Among them, y is the production line capacity, x is the starting temperature of the production line capacity division, and the coefficients a and b are the quadratic and linear correlation coefficients of the capacity division and temperature under the production line environment, respectively.

[0018] In a further technical solution, the acquisition of the fitting capacity and the calibration capacity includes:

[0019] According to the production line temperature-capacity relationship curve, the fitting capacity of each lithium battery cell sample at 25℃ capacity on the production line is obtained;

[0020] The capacity of each lithium battery cell sample is calibrated at 25°C in a constant temperature box to obtain the calibrated capacity at 25°C in the constant temperature box.

[0021] In a further technical solution, the calculation process of the conversion coefficient is:

[0022] Based on the calibrated capacity and fitted capacity of each lithium battery cell sample, the conversion coefficient d between the fitted capacity of each cell sample i at 25℃ capacity distribution on the production line and the calibrated capacity at 25℃ in the constant temperature box is obtained. i , calculate the average value of all conversion coefficients Delete setting range External conversion coefficient d i , and then re-add and average the calculation, and the obtained mean d is the final conversion coefficient d.

[0023] A further technical solution is that the production line capacity calibration equation is:

[0024] The calibrated fitting capacity of the battery cell constant temperature box at 25°C = (actual capacity of the production line - (actual starting temperature of the production line * actual starting temperature of the production line - 25 * 25) * a - (actual starting temperature of the production line - 25) * b) * d;

[0025] Among them, coefficients a and b are the quadratic and linear correlation coefficients of the capacity distribution and temperature under the production line environment, respectively, and d is the conversion coefficient.

[0026] In a second aspect, the present invention provides a capacity calibration system for a lithium-ion battery production line.

[0027] A lithium-ion battery production line capacity calibration system, comprising:

[0028] The actual production line capacity division data acquisition module is used to obtain the actual production line capacity division capacity and the actual production line capacity division starting temperature of a number of lithium battery cells during the actual production line capacity division process;

[0029] The actual production line capacity calibration module is used to substitute the actual production line capacity and the actual production line capacity starting temperature of each lithium battery cell into the production line capacity calibration equation, and output the calibrated capacity of each lithium battery cell;

[0030] Among them, the construction of the production line capacity calibration equation includes:

[0031] Obtain the fitted capacity of each lithium battery cell sample at 25°C on the production line and the rated capacity at 25°C in a constant temperature box;

[0032] The conversion coefficient is calculated based on the fitted capacity and the calibrated capacity;

[0033] Based on the production line temperature-division capacity relationship curve and conversion coefficient, a calibration equation is constructed between the calibrated capacity of the constant temperature chamber at 25°C and the actual division capacity of the production line and the actual division starting temperature of the production line.

[0034] In a third aspect, the present invention further provides an electronic device, comprising: a memory for storing executable instructions; and a processor for implementing the above-mentioned lithium-ion battery production line capacity calibration method when executing the executable instructions stored in the memory.

[0035] In a fourth aspect, the present invention further provides a computer-readable storage medium storing executable instructions for causing a processor to execute the executable instructions to implement the above-mentioned lithium-ion battery production line capacity calibration method.

[0036] In a fifth aspect, the present invention further provides a computer program product, which includes executable instructions stored in a computer-readable storage medium; wherein, when a processor of an electronic device reads the executable instructions from the computer-readable storage medium and executes the executable instructions, the above-mentioned lithium-ion battery production line capacity calibration method is implemented.

[0037] One or more of the above technical solutions have the following beneficial effects:

[0038] 1. The present invention provides a lithium-ion battery production line capacity calibration method and system. By analyzing the relationship between the production line capacity environment (mainly temperature) and the capacity, and the production line capacity and the actual required 25°C constant temperature box calibration capacity, a production line capacity calibration equation is constructed. The actual production line capacity is calibrated using the equation to obtain a more accurate lithium-ion battery capacity, thereby ensuring the quality of each group of lithium-ion batteries shipped in subsequent tiers, and solving the problem of inaccurate capacity of existing lithium-ion battery production lines in actual production processes.

[0039] 2. The present invention analyzes the relationship between the production line capacity division environment (mainly temperature) and the capacity division capacity to avoid the difference in influence of environmental (temperature) factors on the capacity division capacity, and analyzes the relationship between the production line capacity division capacity and the actual required 25°C constant temperature box calibration capacity to avoid the difference in influence of environmental (airflow) factors on the capacity division capacity. Through corrections in these two aspects, effective calibration of the capacity division capacity is achieved, and a lithium-ion battery capacity division capacity that is more accurate and closer to the actual required calibration capacity is obtained.

[0040] Advantages of additional aspects of the present invention will be given in part in the following description, and in part will become obvious from the following description, or will be learned through practice of the present invention. BRIEF DESCRIPTION OF THE DRAWINGS

[0041] The accompanying drawings in the specification, which constitute a part of the present invention, are used to provide a further understanding of the present invention. The exemplary embodiments of the present invention and their descriptions are used to explain the present invention and do not constitute improper limitations on the present invention.

[0042] Figure 1It is a flow chart of the capacity calibration of the lithium-ion battery production line in an embodiment of the present invention;

[0043] Figure 2 It is a flow chart of the capacity calibration of the thermostat in an embodiment of the present invention;

[0044] Figure 3 Schematic diagram of the relationship between the production line starting temperature and the capacity of the production line in an embodiment of the present invention;

[0045] Figure 4 Schematic diagram of the conversion coefficient distribution of each battery cell sample calculated in an embodiment of the present invention. DETAILED DESCRIPTION

[0046] It should be noted that the following detailed descriptions are exemplary only, are intended to describe specific embodiments, are intended to provide further explanation of the present invention, and are not intended to limit exemplary embodiments according to the present invention. Unless otherwise specified, all technical and scientific terms used herein have the same meanings as those of ordinary skill in the art to which the present invention belongs. In addition, it should also be understood that when the terms "comprising" and / or "including" are used in this specification, it indicates the presence of features, steps, operations, devices, components and / or combinations thereof.

[0047] Embodiment 1

[0048] This embodiment provides a lithium-ion battery production line capacity calibration method, including:

[0049] Obtain the actual capacity of a number of lithium battery cells during the actual capacity division process and the actual capacity division starting temperature of the production line;

[0050] The actual capacity of each lithium battery cell and the actual starting temperature of the production line are respectively substituted into the production line capacity calibration equation, and the calibrated capacity of each lithium battery cell is output.

[0051] The focus of the above-mentioned production line capacity calibration method proposed in this embodiment is to analyze and construct the production line capacity calibration equation (i.e., the 25°C constant temperature calibration capacity fitting equation of lithium-ion batteries). The above-mentioned calibration method can be divided into three stages, including: the first stage, according to the production line capacity calibration data, fitting to obtain the production line temperature-capacity calibration curve; the second stage, taking several battery cell samples and calibrating the capacity in a 25°C constant temperature box to obtain the conversion coefficient between the production line 25°C capacity calibration and the constant temperature box 25°C calibration capacity; the third stage, according to the first stage and the second stage, integrating the 25°C constant temperature box constant capacity fitting equation of the battery cell samples, i.e., the calibration equation, input the calibration equation into the capacity calibration cabinet program, and after measuring the actual production line capacity calibration of the lithium battery cell during the actual production line capacity calibration process, calibrate it through the imported calibration equation, and ship it in batches according to the calibrated fitting capacity, so as to ensure the quality of each subsequent group of lithium-ion batteries. The capacity calibration method for lithium-ion battery production line capacity calibration proposed in this embodiment, such as Figure 1 As shown, the specific steps include:

[0052] Phase 1: Obtain the production line temperature-capacity relationship curve.

[0053] First, for several lithium battery cell samples, the capacity is divided according to the capacity division process on the production line, and the discharge capacity (i.e., capacity division capacity) and discharge start temperature data (i.e., capacity division start temperature) of the cells during the capacity division process are collected and obtained. Preferably, in order to ensure that the data is representative, the production line capacity division needs to include all capacity division cabinets and channels, and the number of cell samples should be ≥1000EA.

[0054] Secondly, the acquired data is preprocessed to filter and remove discrete data to improve the accuracy of subsequent data analysis. Specifically, all the acquired temperature data are divided into several groups of temperature data, with each group being 2°C from small to large. The average value C and standard deviation σ of the divided capacity C corresponding to all temperature data in each group are calculated, and the data with divided capacity within C±2σ are filtered as valid data. At this time, the divided capacity and divided capacity starting temperature data with discrete data removed are filtered and obtained.

[0055] After that, use Excel to draw a scatter plot with the starting temperature of the fractionation as the horizontal axis and the fractionation capacity as the vertical axis, such as Figure 3 As shown, based on the scatter plot, the production line temperature-divided capacity relationship curve can be fitted by adding a trend line, which can be expressed as: y = ax 2 +bx+c, where y is the production line capacity, x is the starting temperature of the production line capacity division, and coefficients a and b are the quadratic and linear correlation coefficients of the capacity division and temperature under the production line environment, respectively. As another implementation method, the data can also be imported into Minitab to draw a fitted line graph, and then the fitting equation can be obtained.

[0056] In this embodiment, n lithium battery cell samples are selected, and after production line capacity division, the production line temperature-capacity division relationship curve is fitted as follows: production line capacity division = -10.004*production line capacity division starting temperature*production line capacity division starting temperature+862.09*capacity division starting temperature+87689, and the coefficients a=-10.004 and b=862.09 are respectively the quadratic and linear correlation coefficients of capacity division and temperature under the production line environment.

[0057] The second stage: obtaining the conversion relationship between the fitted capacity and the calibrated capacity.

[0058] First, take n lithium battery cell samples after capacity division, n ≥ 32, and fit the capacity of each cell sample to the fitting capacity of the production line at 25°C according to the production line temperature-capacity division relationship curve obtained above: C 1拟合 , C 2拟合 , C 3拟合 ……C n拟合 .

[0059] Secondly, the n battery samples are calibrated at 25℃ in a constant temperature box to obtain the calibrated capacity at 25℃: C 1 , C 2 , C 3 ……C n Specifically, the process of calibrating the capacity of the thermostat at 25°C is as follows: Figure 2 As shown, including:

[0060] (1) Prepare battery samples and discharge them to 2.0V at 1C current at an ambient temperature of 25°C;

[0061] (2) Leave the battery sample to stand for 0.5 to 1 hour at an ambient temperature of 25°C;

[0062] (3) Charge to 3.65V at a constant current and constant voltage of ≤1C, with a cut-off current of 0.05C and an ambient temperature of 25°C;

[0063] (4) Leave the battery sample to stand for 0.5 to 1 hour at an ambient temperature of 25°C;

[0064] (5) Charge to 2.0 V at 1C constant current and constant voltage, ambient temperature is 25°C, and measure the discharge capacity (mAh);

[0065] (6) Repeat the above steps (2) to (5) several times (5 times in this embodiment). When the range of the test results for three consecutive times is less than 3% of the rated capacity, the test can be terminated in advance and the average value of the last three test results is taken as the calibrated capacity.

[0066] After that, the rated capacity of each battery cell sample at 25°C in the constant temperature box is divided by the fitted capacity, and the conversion coefficient d between the fitted capacity of each battery cell sample i at 25°C in the production line and the rated capacity at 25°C in the constant temperature box is obtained. i , calculate the average value d, and convert the conversion coefficient d outside the set range (99%*d, 101%*d) i Delete it, and then recalculate the mean value. The mean value d obtained is the final conversion coefficient d.

[0067] In this example, 39 battery cell samples are selected, and the rated capacity of each battery cell is divided by the 25°C fitting capacity of the production line to obtain the conversion coefficient d of each battery cell sample i. i , add and average to get the average value According to the control limit and upper control limit Draw a control chart, such as Figure 4 As shown, there is no abnormal point. At this time, the conversion coefficient d = 1.035 between the fitted capacity at 25°C of the production line and the calibrated capacity at 25°C of the constant temperature box is obtained.

[0068] The third stage: obtain the production line capacity calibration equation.

[0069] Based on the analysis of the first and second stages above, according to the production line temperature-divided capacity relationship curve and conversion coefficient, a calibration equation is constructed between the calibrated capacity of the constant temperature box at 25°C and the actual divided capacity of the production line and the actual divided capacity starting temperature of the production line:

[0070] The calibrated fitting capacity of the battery cell constant temperature box at 25°C = (actual capacity of the production line - (actual starting temperature of the production line * actual starting temperature of the production line - 25 * 25) * a - (actual starting temperature of the production line - 25) * b) * d;

[0071] Among them, coefficients a and b are the quadratic and linear correlation coefficients of the capacity distribution and temperature under the production line environment, respectively, and d is the conversion coefficient.

[0072] In this embodiment, combined with the specific values ​​calculated above, the calibration equation can be determined as:

[0073] The calibrated fitting capacity of the battery cell constant temperature box at 25℃ = (actual capacity of the production line - (actual starting temperature of the production line * actual starting temperature of the production line - 25 * 25) * (-10.004) - (actual starting temperature of the production line - 25) * 862.09) * 1.035.

[0074] Finally, the calibration equation obtained above is imported into the capacity division cabinet program. After the equipment is divided into capacities, the capacity division fitting results are directly output, and the battery cells are shipped in batches according to the fitting capacity.

[0075] Embodiment 2

[0076] This embodiment provides a lithium-ion battery production line capacity calibration system, including:

[0077] The actual production line capacity division data acquisition module is used to obtain the actual production line capacity division capacity and the actual production line capacity division starting temperature of a number of lithium battery cells during the actual production line capacity division process;

[0078] The actual production line capacity calibration module is used to substitute the actual production line capacity and the actual production line capacity starting temperature of each lithium battery cell into the production line capacity calibration equation, and output the calibrated capacity of each lithium battery cell;

[0079] Among them, the construction of the production line capacity calibration equation includes:

[0080] Obtain the fitted capacity of each lithium battery cell sample at 25°C on the production line and the rated capacity at 25°C in a constant temperature box;

[0081] The conversion coefficient is calculated based on the fitted capacity and the calibrated capacity;

[0082] Based on the production line temperature-division capacity relationship curve and conversion coefficient, a calibration equation is constructed between the calibrated capacity of the constant temperature chamber at 25°C and the actual division capacity of the production line and the actual division starting temperature of the production line.

[0083] Embodiment 3

[0084] This embodiment provides an electronic device, including: a memory, used to store executable instructions; and a processor, used to implement the above method provided in this embodiment when executing the executable instructions stored in the memory.

[0085] Embodiment 4

[0086] This embodiment also provides a computer-readable storage medium storing executable instructions. When the executable instructions are executed by a processor, the processor will be caused to execute the above method provided in this embodiment.

[0087] Embodiment 5

[0088] This embodiment provides a computer program product, which includes an executable instruction, which is a computer instruction; the executable instruction is stored in a computer-readable storage medium. When a processor of an electronic device reads the executable instruction from the computer-readable storage medium and the processor executes the executable instruction, the electronic device executes the above method provided in this embodiment.

[0089] The steps involved in the above embodiments 2 to 5 correspond to the method embodiment 1. For the specific implementation, please refer to the relevant description part of embodiment 1. The term "computer-readable storage medium" should be understood as a single medium or multiple media including one or more instruction sets; it should also be understood to include any medium that can store, encode or carry an instruction set for execution by a processor and enable the processor to execute any method in the present invention.

[0090] Those skilled in the art should understand that the modules or steps of the present invention described above can be implemented by a general-purpose computer device, or alternatively, they can be implemented by a program code executable by a computing device, so that they can be stored in a storage device and executed by the computing device, or they can be made into individual integrated circuit modules, or multiple modules or steps therein can be made into a single integrated circuit module for implementation. The present invention is not limited to any specific combination of hardware and software.

[0091] The above description is only a preferred embodiment of the present invention. Although the specific implementation mode of the present invention is described in conjunction with the accompanying drawings, it is not a limitation of the protection scope of the present invention. Those skilled in the art should understand that on the basis of the technical solution of the present invention, various modifications or variations that can be made by those skilled in the art without creative work are still within the protection scope of the present invention.

Claims

1. A lithium-ion battery production line capacity calibration method, characterized in that: include: Obtain the actual capacity of a number of lithium battery cells during the actual capacity division process and the actual capacity division starting temperature of the production line; Substitute the actual capacity of each lithium battery cell and the actual starting temperature of the production line into the production line capacity calibration equation, and output the calibrated capacity of each lithium battery cell; wherein, the construction of the production line capacity calibration equation includes: Obtain the fitted capacity of each lithium battery cell sample at 25°C on the production line and the rated capacity at 25°C in a constant temperature box; The conversion coefficient is calculated based on the fitted capacity and the calibrated capacity; Based on the production line temperature-division capacity relationship curve and conversion coefficient, a calibration equation is constructed between the calibrated capacity of the constant temperature chamber at 25°C and the actual division capacity of the production line and the actual division starting temperature of the production line.

2. A lithium-ion battery production line capacity calibration method as claimed in claim 1, characterized in that: The acquisition of the production line temperature-divided capacity relationship curve includes: Obtain the discharge capacity and discharge starting temperature of several lithium battery cell samples during the capacity division process of the production line; the discharge capacity is the capacity division capacity, and the discharge starting temperature is the capacity division starting temperature; Based on the fractional capacity and the fractional starting temperature, after preprocessing, a production line temperature-fractional capacity relationship curve under the production line environment is fitted; wherein, the preprocessing is to filter and delete discrete data.

3. A lithium-ion battery production line capacity calibration method as claimed in claim 2, characterized in that: The relationship curve between production line temperature and capacity under the production line environment is obtained by fitting: y = ax 2 +bx+c; Among them, y is the production line capacity, x is the starting temperature of the production line capacity division, and the coefficients a and b are the quadratic and linear correlation coefficients of the capacity division and temperature under the production line environment, respectively.

4. A lithium-ion battery production line capacity calibration method as claimed in claim 1, characterized in that: The acquisition of the fitting capacity and the calibration capacity includes: According to the production line temperature-capacity relationship curve, the fitting capacity of each lithium battery cell sample at 25℃ capacity on the production line is obtained; The capacity of each lithium battery cell sample is calibrated at 25°C in a constant temperature box to obtain the calibrated capacity at 25°C in the constant temperature box.

5. A lithium-ion battery production line capacity calibration method as claimed in claim 4, characterized in that: The calculation process of the conversion coefficient is: Based on the calibrated capacity and fitted capacity of each lithium battery cell sample, the conversion coefficient d between the fitted capacity of each cell sample i at 25℃ capacity distribution on the production line and the calibrated capacity at 25℃ in the constant temperature box is obtained. i , calculate the average value of all conversion coefficients Delete setting range (99%* ) outside the conversion coefficient d i , and then recalculate the sum and average to get the mean is the final conversion coefficient d.

6. A lithium-ion battery production line capacity calibration method as claimed in claim 1, characterized in that: The production line capacity calibration equation is: The calibrated fitting capacity of the battery cell constant temperature box at 25°C = (actual capacity of the production line - (actual starting temperature of the production line * actual starting temperature of the production line - 25 * 25) * a - (actual starting temperature of the production line - 25) * b) * d; Among them, coefficients a and b are the quadratic and linear correlation coefficients of the capacity distribution and temperature under the production line environment, respectively, and d is the conversion coefficient.

7. A lithium-ion battery production line capacity calibration system, characterized in that: include: The actual production line capacity division data acquisition module is used to obtain the actual production line capacity division capacity and the actual production line capacity division starting temperature of a number of lithium battery cells during the actual production line capacity division process; The actual production line capacity calibration module is used to substitute the actual production line capacity and the actual production line capacity starting temperature of each lithium battery cell into the production line capacity calibration equation, and output the calibrated capacity of each lithium battery cell; Among them, the construction of the production line capacity calibration equation includes: Obtain the fitted capacity of each lithium battery cell sample at 25°C on the production line and the rated capacity at 25°C in a constant temperature box; The conversion coefficient is calculated based on the fitted capacity and the calibrated capacity; Based on the production line temperature-division capacity relationship curve and conversion coefficient, a calibration equation is constructed between the calibrated capacity of the constant temperature chamber at 25°C and the actual division capacity of the production line and the actual division starting temperature of the production line.

8. An electronic device, characterized in that: include: A memory for storing executable instructions; The processor is used to implement the lithium-ion battery production line capacity calibration method according to any one of claims 1 to 6 when executing the executable instructions stored in the memory.

9. A computer-readable storage medium, characterized in that: Executable instructions are stored, which are used to cause the processor to execute the executable instructions to implement the lithium-ion battery production line capacity calibration method described in any one of claims 1-6.

10. A computer program product, characterized in that The computer program product includes executable instructions stored in a computer-readable storage medium; When the processor of the electronic device reads the executable instructions from the computer-readable storage medium and executes the executable instructions, the lithium-ion battery production line capacity calibration method described in any one of claims 1 to 6 is implemented.

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