Battery manufacturing method, device and equipment and storage medium

By obtaining the standstill coefficient at different temperatures and determining the target standstill duration based on the initial and expected liquid loss, the problem of high cost of the battery standstill process is solved, and a balance between reducing costs and ensuring wet effect is achieved.

CN119674474APending Publication Date: 2025-03-21YIBIN CRRC TIMES NEW ENERGY CO LTD
View PDF 0 Cites 0 Cited by

Patent Information

Application Number
CN202411693630.1
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2024-11-25
Publication Date
2025-03-21

AI Technical Summary

Technical Problem

There is a lack of a low-cost method in the prior art to reasonably formulate the room temperature stand-alone time and high temperature stand-alone time after battery injection, resulting in a higher cost in the stand-alone process.

Method used

By obtaining the standstill coefficients corresponding to the first and second standstill temperatures, the first target standstill duration and the second target standstill duration are determined based on the initial electrolyte amount that has not been soaked after the injection of liquid, so as to minimize the total cost of the standstill process.

Benefits of technology

On the basis of ensuring the wetting effect, the cost of the battery static process is reduced and the competitiveness of the battery product is improved.

✦ Generated by Eureka AI based on patent content.

Smart Images

  • Figure CN119674474A_ABST
    Figure CN119674474A_ABST
Patent Text Reader

Abstract

The embodiment of the invention relates to the field of battery manufacturing, and discloses a battery manufacturing method, device and equipment and a storage medium, and the method comprises the following steps: obtaining a first standing coefficient corresponding to a first standing temperature and a second standing coefficient corresponding to a second standing temperature; determining a first target standing time length and a second target standing time length on the basis of an initial electrolyte amount which is not infiltrated after liquid injection, an expected liquid loss amount after the standing process is completed, the first standing coefficient and the second standing coefficient, so as to enable the total cost of the standing process to be minimum; and performing a standing process on the battery, including performing a first standing process on the battery based on the first target standing duration and performing a second standing process on the battery based on the second target standing duration. According to the invention, on the premise of ensuring the infiltration effect of the battery, the labor cost and the manufacturing cost of the battery standing process are further reduced.
Need to check novelty before this filing date? Find Prior Art

Description

Technical Field

[0001] Embodiments of the present invention relate to the technical field of battery manufacturing, and in particular, to a battery manufacturing method, device, equipment and storage medium. Background Art

[0002] The battery cost structure can be roughly divided into material costs, labor costs, manufacturing costs (costs directly related to battery manufacturing other than labor costs, such as plant, equipment, energy, etc.) and other costs (mainly including capital use costs, environmental protection costs, etc.). Among them, labor costs and manufacturing costs are closely related to the total cost of the battery and are important aspects of promoting the development of battery technology. Labor costs and manufacturing costs are affected by the battery manufacturing process, among which the static process is one of the key links in the manufacturing process.

[0003] For secondary batteries, the longer the standing time, the more complete the electrolyte infiltration, the smaller the liquid loss, and the better the battery performance and life. However, for battery manufacturing, the standing time is related to the infiltration efficiency and production cost. The existing standing process usually adopts a combination of normal temperature standing and high temperature standing. Usually, high temperature standing will bring better and faster infiltration effect, but the standing cost of high temperature standing is higher, while the wetting effect of normal temperature standing is weaker than that of high temperature standing, but the standing cost of normal temperature standing is lower. In the prior art, there is no low-cost method for how to reasonably formulate normal temperature standing time and high temperature standing time. Summary of the invention

[0004] The purpose of the present invention is to at least provide a method, device, equipment and storage medium for manufacturing a battery, which can at least solve the technical problem that there is no low-cost method for formulating the room temperature standing time and high temperature standing time after the battery is filled with liquid, and at least further reduce the cost of the battery standing process on the basis of ensuring the wetting effect.

[0005] To solve the above technical problems, at least one embodiment of the present application provides a method for manufacturing a battery, comprising:

[0006] Obtain a first static coefficient corresponding to a first static temperature and a second static coefficient corresponding to a second static temperature, wherein the first static coefficient is used to characterize the relationship between the liquid loss at the first static temperature and its corresponding static time, and the second static coefficient is used to characterize the relationship between the liquid loss at the second static temperature and its corresponding static time;

[0007] Determine a first target standing time and a second target standing time based on the initial amount of electrolyte not soaked after injection, the expected liquid loss after the standing process is completed, the first standing coefficient, and the second standing coefficient, so as to minimize the total cost of the standing process;

[0008] Performing a rest process on the battery includes: performing a first rest process on the battery based on the first target rest time, and performing a second rest process on the battery based on the second target rest time.

[0009] At least one embodiment of the present application further provides a battery manufacturing device, comprising:

[0010] An acquisition module is configured to acquire a first static coefficient corresponding to a first static temperature and a second static coefficient corresponding to a second static temperature, wherein the first static coefficient is used to characterize the relationship between the liquid loss at the first static temperature and its corresponding static time, and the second static coefficient is used to characterize the relationship between the liquid loss at the second static temperature and its corresponding static time;

[0011] A determination module configured to determine a first target standing time and a second target standing time based on an initial amount of electrolyte not soaked after liquid injection, an expected amount of liquid loss after the standing process is completed, the first standing coefficient, and the second standing coefficient, so as to minimize the total cost of the standing process;

[0012] The rest module is configured to perform a rest process on the battery, including: performing a first rest process on the battery based on the first target rest time, and performing a second rest process on the battery based on the second target rest time.

[0013] At least one embodiment of the present application also provides an electronic device, comprising: at least one processor; and a memory communicatively connected to the at least one processor; wherein the memory stores instructions executable by the at least one processor, and the instructions are executed by the at least one processor so that the at least one processor can execute the above-mentioned battery manufacturing method.

[0014] At least one embodiment of the present application further provides a battery production device, including the above-mentioned electronic device.

[0015] At least one embodiment of the present application further provides a non-transitory computer-readable storage medium storing a computer program, and when the computer program is executed by a processor, the above-mentioned battery manufacturing method is implemented.

[0016] At least one embodiment of the present application further provides a computer program product, including a computer program, which implements the above-mentioned battery manufacturing method when executed by a processor.

[0017] The manufacturing method of the battery provided in the embodiment of the present application determines a first standing coefficient corresponding to a first standing temperature and a second standing coefficient corresponding to the standing temperature, and jointly determines a first target standing time and a second target standing time based on the initial amount of electrolyte not wetted after injection and the expected liquid loss after the standing process is completed, so as to minimize the total cost of the standing process; the first standing process of the first target standing time and the second standing process of the second wooden template standing time are performed on the battery, so as to further reduce the labor cost and manufacturing cost of the battery standing process while ensuring the wetting effect of the battery, so as to make the battery product more competitive.

[0018] In some optional embodiments, the first resting process and the second resting process are performed on the battery in sequence, or the second resting process and the first resting process are performed on the battery in sequence.

[0019] The order of time for the battery to perform the first resting process and the second resting process does not affect the final wetting effect of the resting process. Therefore, there is no restriction on the order of time for the battery to perform the first resting process and the second resting process.

[0020] In some optional embodiments, the first and second static coefficients are determined based on the dynamics of liquid wicking.

[0021] Since the main driving force of the battery electrolyte wetting process is capillary force, and the dynamics of liquid wicking mainly involves the rise or conduction of liquid in capillaries or similar structures, this phenomenon is mainly affected by surface tension, capillary action and the interface characteristics of liquid and solid. Therefore, determining the first static coefficient and the second static coefficient through the dynamics of liquid wicking can ensure the accuracy of the calculation results.

[0022] In some optional embodiments, determining the first standing coefficient based on the dynamics of liquid wicking includes:

[0023] injecting electrolyte into the sample cell;

[0024] At a first static temperature, performing a static process on the sample battery cell after liquid injection, and obtaining liquid loss corresponding to a plurality of static time periods, wherein the amount of electrolyte injected into the sample battery cell, the static time period and the corresponding liquid loss satisfy the dynamic relationship of liquid wicking;

[0025] Based on the amount of electrolyte injected into the sample battery cell, multiple standing times and their respective corresponding liquid loss amounts, the first standing coefficient corresponding to the first standing temperature is determined by utilizing the kinetic relationship of liquid capillary absorption satisfied by the amount of electrolyte injected into the sample battery cell, the standing times and their corresponding liquid loss amounts.

[0026] By obtaining the liquid loss corresponding to different standing times of the battery at the first standing temperature, the first standing coefficient corresponding to the first standing temperature is determined based on the dynamics of liquid wicking to ensure the accuracy of the first standing coefficient.

[0027] In some optional embodiments, the amount of electrolyte injected into the sample battery cell, the standing time and the corresponding liquid loss satisfy the following dynamic relationship of liquid wicking:

[0028] m0=M0-α1·t 1 / 2 , wherein M0 is the amount of electrolyte injected into the sample battery cell, t is the standing time, and m0 is the liquid loss corresponding to the standing time t.

[0029] Specifically, based on the kinetic relationship of liquid wicking, m0 = M0 - α1·t 1 / 2 A first rest coefficient corresponding to the first rest temperature is determined to ensure accuracy of calculation of the first rest coefficient.

[0030] In some optional embodiments, determining the first target static time and the second target static time includes:

[0031] Determine the relationship between a first standing time variable of the first standing process and a second standing time variable of the second standing process based on the initial amount of electrolyte not soaked after the injection, the expected liquid loss after the standing process is completed, the first standing coefficient, and the second standing coefficient;

[0032] Obtaining the relationship between the total cost of the static process and the first static time variable and the second static time variable;

[0033] Based on the relationship between the first standing time variable of the first standing process and the second standing time variable of the second standing process, and the relationship between the total cost of the standing process and the first standing time variable and the second standing time variable, the first target standing time corresponding to the first standing process and the second target standing time corresponding to the second standing process are determined.

[0034] By determining the relationship between the first standing time variable of the first standing process and the second standing time variable of the second standing process, as well as the relationship between the total cost of the standing process and the first standing time variable and the second standing time difference variable, the first target standing time corresponding to the first standing process and the second target standing time corresponding to the second standing process when the total cost of the standing process is the lowest are obtained, thereby achieving scientific and efficient determination of the first target standing time and the second target standing time of the standing process, thereby minimizing the cost of the standing process. BRIEF DESCRIPTION OF THE DRAWINGS

[0035] One or more embodiments are exemplarily described by the pictures in the corresponding drawings, and these exemplary descriptions do not constitute limitations on the embodiments.

[0036] Figure 1 is a flow chart of a method for manufacturing a battery provided by an embodiment of the present application;

[0037] Figure 2 is an experimental flow chart of a method for manufacturing a battery provided in another embodiment of the present application;

[0038] Figure 3 is a fitting curve of liquid loss and standing time at room temperature provided by another embodiment of the present application;

[0039] Figure 4 is a fitting curve of liquid loss and standing time at high temperature provided by another embodiment of the present application;

[0040] Figure 5 is a schematic diagram of a battery manufacturing device provided by another embodiment of the present application;

[0041] Figure 6 It is a schematic diagram of the structure of an electronic device provided by another embodiment of the present application. DETAILED DESCRIPTION

[0042] To make the purpose, technical scheme and advantages of the embodiments of the present application clearer, the embodiments of the present application will be described in detail below in conjunction with the accompanying drawings. However, it will be appreciated by those skilled in the art that in the present application, many technical details are proposed in order to enable the reader to better understand the present application. However, even without these technical details and various changes and modifications based on the following embodiments, the technical scheme claimed in the present application can also be implemented. The division of the following embodiments is for the convenience of description, and the specific implementation of the present application should not be construed as any limitation, and the various embodiments can be combined and referenced with each other under the premise of no contradiction.

[0043] The present invention proposes a method for manufacturing a battery. The implementation details of the method for manufacturing the battery of this embodiment are specifically described below. The following content is only the implementation details provided for the convenience of understanding and is not necessary for implementing this solution.

[0044] Embodiment 1:

[0045] The manufacturing method of the battery of this embodiment can be applied to electronic devices with communication, computing and data storage capabilities. The specific process can be as follows: Figure 1 As shown, including:

[0046] Step 110, obtaining a first standing coefficient corresponding to the first standing temperature and a second standing coefficient corresponding to the second standing temperature, wherein the first standing coefficient is used to characterize the relationship between the liquid loss at the first standing temperature and its corresponding standing time, and the second standing coefficient is used to characterize the relationship between the liquid loss at the second standing temperature and its corresponding standing time.

[0047] Specifically, the first static coefficient is defined as α1; the second static coefficient is defined as α2; the first static coefficient α1 is used to characterize the relationship between the liquid loss at the first static temperature and its corresponding static time, and the second static coefficient α2 is used to characterize the relationship between the liquid loss at the second static temperature and its corresponding static time. In this embodiment, the battery is taken as a secondary battery as an example for explanation, wherein the secondary battery includes a positive electrode sheet, a negative electrode sheet, a diaphragm, an electrolyte and a shell, wherein the diaphragm separates the positive electrode sheet and the negative electrode sheet, and the shell is used to install the positive electrode sheet, the negative electrode sheet diaphragm and the electrolyte. In the manufacturing process of the battery, the battery after liquid injection needs to be static for a certain period of time to ensure that the electrolyte fully infiltrates the positive and negative electrode materials of the battery and reaches a chemical equilibrium state. Among them, the static process usually adopts a combination of normal temperature static and high temperature static, and the temperature used for normal temperature static is defined as the first static temperature, and the temperature used for high temperature static is defined as the second temperature, wherein the first static temperature is less than the second static temperature.

[0048] In some examples, the temperature value of the second static temperature can be set to any possible temperature between 25° C. and 80° C.; the first static temperature is room temperature, and the setting value of the first static temperature is less than the setting value of the second static temperature.

[0049] In some examples, the liquid loss corresponding to the battery at different resting times based on the first resting temperature is obtained, a relationship curve between the liquid loss at the first resting temperature and the resting time is fitted, and the first resting coefficient is determined according to the fitting curve.

[0050] In some examples, the liquid loss corresponding to the battery at different resting times based on the second resting temperature is obtained, a relationship curve between the liquid loss at the second resting temperature and the resting time is fitted, and the second resting coefficient is determined according to the fitting curve.

[0051] Step 120, based on the initial amount of electrolyte not soaked after injection, the expected liquid loss after the standing process is completed, the first standing coefficient and the second standing coefficient, determine the first target standing time and the second target standing time to minimize the total cost of the standing process.

[0052] Specifically, the initial amount of electrolyte that has not been wetted after injection is defined as M, and the expected liquid loss after the standing process is completed is defined as c; the first target standing time is x1, and the second target standing time is x2; the total cost of the standing process is P; in order to determine the first target standing time and the second target standing time to minimize the total cost of the standing process, it is necessary to comprehensively consider the initial amount of electrolyte that has not been wetted after injection, the expected liquid loss after the standing process is completed, the first standing coefficient and the second standing coefficient.

[0053] In some examples, the battery cell is injected with liquid, and then immediately degassed and packaged. The liquid loss amount obtained is the amount of electrolyte not soaked after the injection, that is, the initial amount of electrolyte not soaked after the injection, M.

[0054] Step 130, performing a rest process on the battery, including: performing a first rest process on the battery based on the first target rest time, and performing a second rest process on the battery based on the second target rest time.

[0055] Specifically, a first rest process is performed on the battery according to the determined first target rest time, and a second rest process is performed on the battery based on the determined second target rest time.

[0056] In one embodiment, the first resting process is room temperature resting, and the second resting process is high temperature resting, wherein the first resting temperature used in the room temperature resting is lower than the second resting temperature used in the high temperature resting; the battery is rested at room temperature based on the first target resting time, and the battery is rested at high temperature based on the second target resting time, so as to minimize the total cost of the resting process, that is, to further reduce the cost of the battery resting process on the basis of ensuring the wetting effect.

[0057] In this embodiment, by determining the first standing coefficient corresponding to the first standing temperature and the second standing coefficient corresponding to the second standing temperature, as well as based on the initial amount of electrolyte that has not been wetted after injection and the expected liquid loss after the standing process is completed, the first target standing time and the second target standing time are jointly determined to minimize the total cost of the standing process; the battery is subjected to the first standing process of the first target standing time and the second standing process of the second wooden template standing time, so as to further reduce the labor cost and manufacturing cost of the battery standing process while ensuring the wetting effect of the battery, so that the battery product is more competitive.

[0058] In some embodiments, a first resting process and a second resting process are performed on the battery in sequence, or a second resting process and a first resting process are performed on the battery in sequence.

[0059] Specifically, an example in which the first still step is still at room temperature and the second still step is still at high temperature will be described.

[0060] In some examples, the battery is first subjected to a first resting process based on a first target resting time, ie, resting at room temperature; and then subjected to a second resting process based on a second target resting time, ie, resting at high temperature.

[0061] In some examples, the second resting process, i.e., high temperature resting, is first performed on the battery based on the second target resting time; and then the first resting process, i.e., normal temperature resting, is performed on the battery based on the first target resting time. The order of performing normal temperature resting and high temperature resting on the battery will not affect the determination of the first target resting time or the second target resting time.

[0062] In some embodiments, the first and second sitting coefficients are determined based on the dynamics of liquid wicking.

[0063] Specifically, since the main driving force of the battery electrolyte infiltration process is capillary force, and the dynamics of liquid wicking mainly involves the rise or conduction of liquid in capillaries or similar structures, this phenomenon is mainly affected by surface tension, capillary action and the interface characteristics of liquid and solid. Therefore, determining the first static coefficient and the second static coefficient through the dynamics of liquid wicking can ensure the accuracy of the first target static time and the second target static calculation results.

[0064] In some embodiments, determining the first sitting coefficient based on the dynamics of liquid wicking includes:

[0065] injecting electrolyte into the sample cell;

[0066] At a first static temperature, performing a static process on the sample battery cell after liquid injection, and obtaining liquid loss corresponding to a plurality of static time periods, wherein the amount of electrolyte injected into the sample battery cell, the static time period and the corresponding liquid loss satisfy the dynamic relationship of liquid wicking;

[0067] Based on the amount of electrolyte injected into the sample battery cell, multiple standing times and their respective corresponding liquid loss amounts, the first standing coefficient corresponding to the first standing temperature is determined by utilizing the kinetic relationship of liquid capillary absorption satisfied by the amount of electrolyte injected into the sample battery cell, the standing times and their corresponding liquid loss amounts.

[0068] Specifically, a certain number of battery cells are taken for liquid injection. In order to ensure the accuracy of the calculation results, the number of battery cells is not less than 10. After liquid injection, degassing and packaging are carried out immediately, and the liquid loss obtained is the amount M of unwetted electrolyte after liquid injection. When the process parameters and conditions remain consistent, the first standing process is carried out on the battery cells after liquid injection with different standing times, and multiple data points of standing times and their corresponding liquid loss are obtained.

[0069] Based on the amount of electrolyte injected into the sample battery cell, multiple standing times and their corresponding liquid loss, a first standing coefficient corresponding to the first standing temperature is determined using the kinetic relationship of liquid wicking.

[0070] In some embodiments, determining the second sitting coefficient based on the dynamics of liquid wicking includes:

[0071] injecting electrolyte into the sample cell;

[0072] At a second static temperature, performing a static process on the sample battery cell after liquid injection, and obtaining liquid loss corresponding to a plurality of static time periods, wherein the amount of electrolyte injected into the sample battery cell, the static time period and the corresponding liquid loss satisfy the dynamic relationship of liquid wicking;

[0073] Based on the amount of electrolyte injected into the sample battery cell, multiple standing times and their respective corresponding liquid loss amounts, the second standing coefficient corresponding to the second standing temperature is determined by utilizing the kinetic relationship of liquid capillary absorption satisfied by the amount of electrolyte injected into the sample battery cell, the standing times and their corresponding liquid loss amounts.

[0074] Specifically, a certain number of battery cells are taken for liquid injection. In order to ensure the accuracy of the calculation results, the number of battery cells is not less than 10. After liquid injection, degassing and packaging are carried out immediately, and the liquid loss obtained is the amount M of unwetted electrolyte after liquid injection. When the process parameters and conditions remain consistent, the battery cells after liquid injection are subjected to a second standing process with different standing times to obtain multiple data points of standing times and their corresponding liquid loss.

[0075] Based on the amount of electrolyte injected into the sample battery cell, multiple standing times and their corresponding liquid loss, the second standing coefficient corresponding to the second standing temperature is determined using the kinetic relationship of liquid wicking.

[0076] In some embodiments, the amount of electrolyte injected into the sample battery cell, the standing time and the corresponding liquid loss satisfy the following dynamic relationship of liquid wicking:

[0077] m0=M0-α1·t 1 / 2 , wherein M0 is the amount of electrolyte injected into the sample battery cell, t is the standing time, and m0 is the liquid loss corresponding to the standing time t.

[0078] Specifically, according to the dynamic relationship of liquid wicking, the relationship between liquid loss m and standing time t is obtained as m0 = M0-α1·t 1 / 2 , wherein M0 is the amount of electrolyte injected into the sample battery cell, t is the standing time, m0 is the liquid loss corresponding to the standing time t, and α1 is the first standing coefficient.

[0079] In some embodiments, the amount of electrolyte injected into the sample battery cell, the standing time and the corresponding liquid loss satisfy the following dynamic relationship of liquid wicking:

[0080] m0=M0-α2·t 1 / 2 , wherein M0 is the amount of electrolyte injected into the sample battery cell, t is the standing time, and m0 is the liquid loss corresponding to the standing time t.

[0081] Specifically, according to the dynamic relationship of liquid wicking, the relationship between liquid loss m and standing time t is obtained as m0 = M0-α2·t 1 / 2 , wherein M0 is the amount of electrolyte injected into the sample battery cell, t is the standing time, m0 is the liquid loss corresponding to the standing time t, and α2 is the second standing coefficient.

[0082] In some embodiments, determining the first target static time and the second target static time includes:

[0083] Determine the relationship between a first standing time variable of the first standing process and a second standing time variable of the second standing process based on the initial amount of electrolyte not soaked after the injection, the expected liquid loss after the standing process is completed, the first standing coefficient, and the second standing coefficient;

[0084] Obtaining the relationship between the total cost of the static process and the first static time variable and the second static time variable;

[0085] Based on the relationship between the first standing time variable of the first standing process and the second standing time variable of the second standing process, and the relationship between the total cost of the standing process and the first standing time variable and the second standing time variable, the first target standing time corresponding to the first standing process and the second target standing time corresponding to the second standing process are determined.

[0086] Specifically, in this embodiment, the first static process is a normal temperature static process, and the second static process is a high temperature static process. Let y = m, x = t 1 / 2, then the fitting function for calculating the standing coefficient is y=M-α·x. Assuming that the battery cell adopts a standing process of first standing at room temperature and then standing at high temperature (in other embodiments, the battery cell may also adopt a standing process of first standing at high temperature and then standing at room temperature, which is not limited in this embodiment), the standing coefficient at room temperature (i.e., the first standing coefficient) is α1, the standing cost is P1, and the 0.5 power of the standing time is x1, and the standing coefficient at high temperature (i.e., the second standing coefficient) is α2, the standing cost is P2, and the 0.5 power of the standing time is x2. Then for the standing process at room temperature, the relationship between the liquid loss and the standing time is: y=M-α1·x; for the high temperature standing process, the relationship between the liquid loss and the standing time is: y=M-α1·x1-α2·x.

[0087] As the standing time increases, when the liquid loss reaches our expected value c (c>M-α1·x1), we have:

[0088]

[0089] That is, formula ① is the relationship between the first standing time variable x1 of the first standing process and the second standing time variable x2 of the second standing process determined based on the initial amount of electrolyte M that has not been infiltrated after injection, the expected liquid loss c after the standing process is completed, the first standing coefficient α1 and the second standing coefficient α2.

[0090] The total cost P has the following relationship with x1 and x2:

[0091] P=x2 2 P2+x1 2 ·P1............②;

[0092] That is, formula ② is the relationship between the total cost P of the static process and the first static time variable x1 and the second static time variable x1.

[0093] Furthermore, by substituting formula ① into formula ②, we can obtain:

[0094]

[0095] Among them, P is the total cost of the static process, P1 is the static cost corresponding to the first static process, and P2 is the static cost corresponding to the second static process.

[0096] Further expanding, merging and simplifying the formula, we can get:

[0097]

[0098] Formula ③ is the cost equation of the standing process, that is, based on the relationship between the first standing time variable x1 of the first standing process and the second standing time variable x2 of the second standing process, as well as the relationship between the total cost P of the standing process and the first standing time variable x1 and the second standing time variable x2, the first target standing time x1 corresponding to the first standing process and the second target standing time x2 corresponding to the second standing process can be determined.

[0099] Furthermore, it can be found that the total cost P and the 0.5 power x1 of the room temperature standing time form a quadratic function, and the quadratic function opens upward. Furthermore, the vertex coordinates of the quadratic function are as follows:

[0100]

[0101] It is not difficult to judge that when When , the total cost P has a minimum value, and

[0102] Embodiment 2:

[0103] The manufacturing method of the battery of this embodiment can be applied to electronic devices with communication, computing and data storage capabilities, wherein the battery specifically refers to a secondary battery, which includes a positive electrode sheet, a negative electrode sheet, a diaphragm, an electrolyte and a shell, wherein the diaphragm separates the positive electrode sheet and the negative electrode sheet, and the shell is used to install the positive electrode sheet, the negative electrode sheet, the diaphragm and the electrolyte.

[0104] In this embodiment, the manufacturing method of the battery includes: stirring - coating - rolling - sheeting - winding / stacking - shelling - baking - liquid injection - standing - formation - volume separation. Among them, the standing process adopts a combination of normal temperature standing and high temperature standing.

[0105] In order to ensure that the total cost of the standing process is minimized, the first target standing time corresponding to the first standing temperature and the second target standing time corresponding to the second standing temperature are determined based on the following method, wherein the first standing temperature is the temperature value set during the normal temperature standing process, the second standing temperature is the temperature value set during the high temperature standing process, and the first standing temperature is less than the second standing temperature.

[0106] In one example, the first static temperature is set to 25°C, and the second static temperature is set to any possible temperature between 25°C and 80°C.

[0107] The calculation process of the first target resting time corresponding to the first resting temperature and the second target resting time corresponding to the second resting temperature includes:

[0108] According to the dynamic relationship of liquid wicking, the relationship between liquid loss m and standing time t is m0 = M0-α1·t1 / 2 , where M0 is the amount of electrolyte injected into the sample battery cell, t is the standing time, m0 is the liquid loss corresponding to the standing time t, and α1 is the first standing coefficient;

[0109] And, similarly, according to the dynamic relationship of liquid wicking, the relationship between liquid loss m and standing time t is obtained as m0=M0- α2 ·t 1 / 2 , wherein M0 is the amount of electrolyte injected into the sample battery cell, t is the standing time, m0 is the liquid loss corresponding to the standing time t, and α2 is the second standing coefficient.

[0110] Let y = m, x = t 1 / 2 , then the fitting function for calculating the standing coefficient is y=M-α·x. Assuming that the battery cell adopts a standing process of first standing at room temperature and then standing at high temperature (in other embodiments, the battery cell may also adopt a standing process of first standing at high temperature and then standing at room temperature, which is not limited in this embodiment), the standing coefficient at room temperature (i.e., the first standing coefficient) is α1, the standing cost is P1, and the 0.5 power of the standing time is x1, and the standing coefficient at high temperature (i.e., the second standing coefficient) is α2, the standing cost is P2, and the 0.5 power of the standing time is x2. Then for the standing process at room temperature, the relationship between the liquid loss and the standing time is: y=M-α1·x; for the high temperature standing process, the relationship between the liquid loss and the standing time is: y=M-α1·x1-α2·x. .

[0111] As the standing time increases, when the liquid loss reaches our expected value c (c>M-α1·x1), we have:

[0112]

[0113] That is, formula ① is the relationship between the first standing time variable x1 of the first standing process and the second standing time variable x2 of the second standing process determined based on the initial amount of electrolyte M that has not been infiltrated after injection, the expected liquid loss c after the standing process is completed, the first standing coefficient α1 and the second standing coefficient α2.

[0114] The total cost P has the following relationship with x1 and x2:

[0115] P=x2 2 P2+x1 2 ·P1………………②;

[0116] That is, formula ② is the relationship between the total cost P of the static process and the first static time variable x1 and the second static time variable x1.

[0117] Furthermore, by substituting formula ① into formula ②, we can obtain:

[0118]

[0119] Among them, P is the total cost of the static process, P1 is the static cost corresponding to the first static process, and P2 is the static cost corresponding to the second static process.

[0120] Further expanding, merging and simplifying the formula, we can get:

[0121]

[0122] Formula ③ is the cost equation of the standing process, that is, based on the relationship between the first standing time variable x1 of the first standing process and the second standing time variable x2 of the second standing process, as well as the relationship between the total cost P of the standing process and the first standing time variable x1 and the second standing time variable x2, the first target standing time x1 corresponding to the first standing process and the second target standing time x2 corresponding to the second standing process can be determined.

[0123] Furthermore, it can be found that the total cost P and the 0.5 power x1 of the room temperature standing time form a quadratic function, and the quadratic function opens upward. Furthermore, the vertex coordinates of the quadratic function are as follows:

[0124]

[0125] It is not difficult to judge that when When , the total cost P has a minimum value, and

[0126] The first static coefficient α1 is used to characterize the relationship between the liquid loss at the first static temperature and its corresponding static time, and the second static coefficient α2 is used to characterize the relationship between the liquid loss at the second static temperature and its corresponding static time. The determination process of the first static coefficient α1 corresponding to the first static temperature and the second static coefficient α2 corresponding to the second static temperature includes an experimental step, a fitting step, and a calculation step.

[0127] Specifically, if Figure 2 As shown, the experimental steps are as follows:

[0128] Step 1. Obtain a certain number of battery cells for liquid injection. In order to ensure the accuracy of the calculation results, the number of battery cells is not less than 10. After liquid injection, degassing and packaging are carried out immediately. The liquid loss obtained is the amount of electrolyte M that is not wetted after liquid injection;

[0129] Step 2. Take a certain number of cells after liquid injection (no less than 10) for grouping experiments. When other process parameters and conditions remain the same, place them at room temperature (room temperature, 25°C) for different lengths of time after liquid injection to obtain multiple data points of liquid loss m1 (mean)-standing time t1;

[0130] Step 3. Take a certain number of cells after liquid injection (no less than 10) for grouping experiments. When other process parameters and conditions remain the same, place them at high temperature after liquid injection for different lengths of time (the temperature is any possible temperature between 25°C and 80°C) to obtain multiple data points of liquid loss m2 (mean) - standing time t2; (Note: 1, 2, and 3 in the above experimental steps are only for the convenience of description and do not represent the order of the three steps. Any possible order is allowed).

[0131] The fitting steps are as follows:

[0132] According to the formula m = M-α·t 1 / 2 The normal temperature and high temperature mt data points obtained in the experimental steps are fitted to obtain the normal temperature static coefficient α1 and the high temperature static coefficient α2.

[0133] The calculation steps are as follows:

[0134] According to the experimental steps and fitting steps, the amount of uninfiltrated electrolyte M after injection, the normal temperature standing coefficient α1 and the high temperature standing coefficient α2 are obtained. According to the normal temperature standing cost P1 and the high temperature standing cost P2 (related to the labor cost, electricity cost and equipment cost of the enterprise location), the cost equation of the standing process is used for calculation. When the normal temperature standing time High temperature standing time When , the total cost P of the static process reaches the optimal value and is

[0135] The above method is used to scientifically and efficiently determine the normal temperature and high temperature resting time of the resting process. The battery is subjected to the resting process based on the normal temperature resting time determined by the above method and the high temperature resting time. This can ensure that the total cost of the battery resting process is minimized, thereby reducing the labor cost and manufacturing cost of the lithium / sodium ion battery resting process, and thus obtaining a low-cost battery.

[0136] In an example, the battery cell is a small battery A04551, and the number of battery cell samples is 10. The liquid loss corresponding to each battery is shown in Table 1 below:

[0137] Table 1: Liquid loss of each cell in the first resting process

[0138] Battery Cell 1 2 3 4 5 6 7 8 9 10 Liquid loss / g 0.55 0.57 0.56 0.55 0.58 0.57 0.58 0.55 0.57 0.56

[0139] Based on the above data, the average of the liquid loss of 10 sample cells can be determined to determine that the amount of unsoaked electrolyte after the battery is filled is M = 0.564g.

[0140] Take a certain number of cells after liquid injection and keep other process parameters and conditions the same, and then let them stand at room temperature for different lengths of time after liquid injection. That is, in the first standing process, obtain multiple data points of liquid loss m1 (mean)-standing time t1, and get the fitting curve as shown in the figure Figure 3 shown.

[0141] based on Figure 3 It can be known that the room temperature standing coefficient of the battery cell (ie, the first standing coefficient) α1=0.0509g / h^0.5.

[0142] A certain number of cells after liquid injection were taken and other process parameters and conditions were kept consistent. They were placed at high temperature (temperature was 45°C) for different lengths of time after liquid injection. That is, in the second standing process, multiple data points of liquid loss m2 (mean)-standing time t2 were obtained. The fitting curve is shown in the figure below. Figure 4 shown.

[0143] based on Figure 4 It can be seen that the high temperature standing coefficient (ie, the second standing coefficient) of the battery cell is α2=0.0889g / h^0.5.

[0144] After actual inquiry, it is known that the cost of A04551 battery cells at room temperature is 16.7 yuan / h / 1000, and the cost of high temperature is 45.5 yuan / h / 1000. According to the cost equation ③ of the static process, the normal temperature & high temperature static time can be calculated. When the expected liquid loss of the A04551 battery cell is 0.1g. When the normal temperature static time of the A04551 battery cell is about 0.15h and the high temperature static time is about 25.66h, the cost of the entire static process reaches the optimal value and is 1170.4 yuan / 1000. If only high temperature static is used, the cost of the entire static process is about 1239.5 yuan / 1000; if only normal temperature static is used, the cost of the entire static process is about 1387.9 yuan / 1000.

[0145] Embodiment three:

[0146] Another embodiment of the present application relates to a battery manufacturing device. The implementation details of the battery manufacturing method device of this embodiment are specifically described below. The following content is only for the convenience of understanding the implementation details provided, and is not necessary for the implementation of this solution. The schematic diagram of the battery manufacturing method of this embodiment can be as follows Figure 5 As shown, it includes an acquisition module 801, a determination module 802, and a static module 803.

[0147] The acquisition module 801 is configured to acquire a first standing coefficient corresponding to a first standing temperature and a second standing coefficient corresponding to a second standing temperature, wherein the first standing coefficient is used to characterize the relationship between the liquid loss at the first standing temperature and its corresponding standing time, and the second standing coefficient is used to characterize the relationship between the liquid loss at the second standing temperature and its corresponding standing time.

[0148] Determination module 802 is configured to determine the first target standing time and the second target standing time based on the initial amount of electrolyte not soaked after injection, the expected liquid loss after the standing process is completed, the first standing coefficient and the second standing coefficient, so as to minimize the total cost of the standing process.

[0149] The rest module 803 is configured to perform a rest process on the battery, including: performing a first rest process on the battery based on the first target rest time, and performing a second rest process on the battery based on the second target rest time.

[0150] It is worth mentioning that all modules involved in this embodiment are logic modules. In practical applications, a logic unit can be a physical unit, a part of a physical unit, or a combination of multiple physical units. In addition, in order to highlight the innovative part of this application, this embodiment does not introduce units that are not closely related to solving the technical problems proposed by this application, but this does not mean that there are no other units in this embodiment.

[0151] In the embodiments provided in the present application, it should be understood that the disclosed devices and methods can also be implemented in other ways. The device embodiments described above are merely schematic. For example, the flowcharts and block diagrams in the accompanying drawings show the possible architecture, functions and operations of the devices, methods and computer program products according to multiple embodiments of the present disclosure. In this regard, each box in the flowchart or block diagram can represent a module, a program segment or a part of a code, and the above-mentioned module, a program segment or a part of a code contains one or more executable instructions for implementing the specified logical function. It should also be noted that in some alternative implementations, the functions marked in the box can also occur in an order different from that marked in the accompanying drawings. For example, two consecutive boxes can actually be executed substantially in parallel, and they can sometimes be executed in the opposite order, depending on the functions involved. It should also be noted that each box in the block diagram and / or flowchart, and the combination of boxes in the block diagram and / or flowchart can be implemented with a dedicated hardware-based system that performs a specified function or action, or can be implemented with a combination of dedicated hardware and computer instructions.

[0152] Embodiment 4:

[0153] Another embodiment of the present application relates to an electronic device, such as Figure 6 As shown, it includes: at least one processor; and a memory communicatively connected to the at least one processor; wherein the memory stores instructions executable by the at least one processor, and the instructions are executed by the at least one processor so that the at least one processor can execute the battery manufacturing method in the above-mentioned embodiments.

[0154] Among them, the memory and the processor are connected in a bus manner, and the bus may include any number of interconnected buses and bridges, and the bus connects various circuits of one or more processors and memories together. The bus can also connect various other circuits such as peripherals, voltage regulators, and power management circuits, which are well known in the art and are therefore not further described herein. The bus interface provides an interface between the bus and the transceiver. The transceiver can be one element or multiple elements, such as multiple receivers and transmitters, providing a unit for communicating with various other devices on a transmission medium. The data processed by the processor is transmitted on a wireless medium via an antenna, and further, the antenna also receives data and transmits the data to the processor.

[0155] The processor is responsible for managing the bus and general processing, and can also provide various functions, including timing, peripheral interfaces, voltage regulation, power management, and other control functions. Memory can be used to store data used by the processor when performing operations.

[0156] The processor may include, but is not limited to, one or more processors or microprocessors, etc. Each processor may be an application specific integrated circuit (ASIC), a digital signal processor (DSP), a digital signal processing device (DSPD), a programmable logic device (PLD), a field programmable gate array (FPGA), a controller, a microcontroller, a microprocessor or other electronic components to execute the methods in the above embodiments.

[0157] Embodiment five:

[0158] Another embodiment of the present application relates to a battery production device, including the electronic device described in the above embodiment.

[0159] Embodiment six:

[0160] Another embodiment of the present application relates to a computer-readable storage medium storing a computer program, which implements the above method embodiment when executed by a processor.

[0161] That is, those skilled in the art can understand that all or part of the steps in the above-mentioned embodiment method can be completed by instructing the relevant hardware through a program, and the program is stored in a storage medium, including a number of instructions to enable a device (which can be a single-chip microcomputer, chip, etc.) or a processor to execute all or part of the steps of the method described in each embodiment of the present application. The aforementioned storage medium includes: U disk, mobile hard disk, read-only memory (Read-Only Memory, referred to as: ROM), random access memory (Random Access Memory, referred to as: RAM), disk or optical disk and other media that can store program codes.

[0162] Those skilled in the art will appreciate that the above embodiments are specific embodiments for implementing the present application, and in actual applications, various changes may be made thereto in form and detail without departing from the spirit and scope of the present application.

Claims

1. A method for manufacturing a battery, characterized in that: include: Obtain a first static coefficient corresponding to a first static temperature and a second static coefficient corresponding to a second static temperature, wherein the first static coefficient is used to characterize the relationship between the liquid loss at the first static temperature and its corresponding static time, and the second static coefficient is used to characterize the relationship between the liquid loss at the second static temperature and its corresponding static time; Determine a first target standing time and a second target standing time based on the initial amount of electrolyte not soaked after injection, the expected liquid loss after the standing process is completed, the first standing coefficient, and the second standing coefficient, so as to minimize the total cost of the standing process; Performing a rest process on the battery includes: performing a first rest process on the battery based on the first target rest time, and performing a second rest process on the battery based on the second target rest time.

2. The manufacturing method according to claim 1, characterized in that: The battery is subjected to a first resting process and a second resting process in sequence, or the battery is subjected to a second resting process and a first resting process in sequence.

3. The manufacturing method according to claim 1, characterized in that: The first and second sitting coefficients are determined based on the dynamics of liquid wicking.

4. The manufacturing method according to claim 1, characterized in that: The first standing coefficient is determined based on the dynamics of liquid wicking, including: injecting electrolyte into the sample cell; At a first static temperature, performing a static process on the sample battery cell after liquid injection, and obtaining liquid loss corresponding to a plurality of static time periods, wherein the amount of electrolyte injected into the sample battery cell, the static time period and the corresponding liquid loss satisfy the dynamic relationship of liquid wicking; Based on the amount of electrolyte injected into the sample battery cell, multiple standing times and their respective corresponding liquid loss amounts, the first standing coefficient corresponding to the first standing temperature is determined by utilizing the kinetic relationship of liquid capillary absorption satisfied by the amount of electrolyte injected into the sample battery cell, the standing times and their corresponding liquid loss amounts.

5. The manufacturing method according to claim 4, characterized in that: The amount of electrolyte injected into the sample battery cell, the standing time and the corresponding liquid loss satisfy the following dynamic relationship of liquid wicking: m0=M0-α1·t 1 / 2 , wherein M0 is the amount of electrolyte injected into the sample battery cell, t is the standing time, and m0 is the liquid loss corresponding to the standing time t.

6. The manufacturing method according to any one of claims 1 to 5, characterized in that: The determining of the first target static time length and the second target static time length comprises: Determine the relationship between a first standing time variable of the first standing process and a second standing time variable of the second standing process based on the initial amount of electrolyte not soaked after the injection, the expected liquid loss after the standing process is completed, the first standing coefficient, and the second standing coefficient; Obtaining the relationship between the total cost of the static process and the first static time variable and the second static time variable; Based on the relationship between the first standing time variable of the first standing process and the second standing time variable of the second standing process, and the relationship between the total cost of the standing process and the first standing time variable and the second standing time variable, the first target standing time corresponding to the first standing process and the second target standing time corresponding to the second standing process are determined.

7. A battery manufacturing device, characterized in that: include: An acquisition module is configured to acquire a first static coefficient corresponding to a first static temperature and a second static coefficient corresponding to a second static temperature, wherein the first static coefficient is used to characterize the relationship between the liquid loss at the first static temperature and its corresponding static time, and the second static coefficient is used to characterize the relationship between the liquid loss at the second static temperature and its corresponding static time; A determination module configured to determine a first target standing time and a second target standing time based on an initial amount of electrolyte not soaked after liquid injection, an expected amount of liquid loss after the standing process is completed, the first standing coefficient, and the second standing coefficient, so as to minimize the total cost of the standing process; The rest module is configured to perform a rest process on the battery, including: performing a first rest process on the battery based on the first target rest time, and performing a second rest process on the battery based on the second target rest time.

8. An electronic device, characterized in that: include: at least one processor; as well as, a memory communicatively connected to the at least one processor; wherein, The memory stores instructions that can be executed by the at least one processor, and the instructions are executed by the at least one processor so that the at least one processor can perform the battery manufacturing method according to any one of claims 1 to 6.

9. A battery production device, characterized in that: include: The electronic device as claimed in claim 8.

10. A non-transitory computer-readable storage medium storing a computer program, wherein: When the computer program is executed by a processor, the method according to any one of claims 1 to 6 is implemented.

11. A computer program product, comprising a computer program, wherein when the computer program is executed by a processor, the computer program implements the method according to any one of claims 1 to 6.