Gas control method, system and equipment in lithium battery formation and storage medium

Abstract

The invention belongs to the technical field of lithium batteries, and discloses a gas control method, system and device in lithium battery formation and a storage medium. The method comprises the steps that gas concentration data in a battery cell in the lithium battery formation process is monitored in real time through a gas concentration detector; the monitored gas concentration data is sent to a negative pressure adjusting device mounted on the extraction valve; the gas concentration threshold value in the battery cell in the lithium battery formation process is preset, whether the monitored gas concentration data is larger than the preset gas concentration threshold value or not is judged in real time, and when the monitored gas concentration data is larger than the preset gas concentration threshold value, a feedback signal is generated and sent to the negative pressure adjusting device; and according to the real-time monitored gas concentration data in the lithium battery cell and the received feedback signal in the negative pressure adjusting device, an intelligent control algorithm is adopted to dynamically adjust various parameter information in the lithium battery formation process. According to the method provided by the invention, the automation degree and the production efficiency of the lithium battery formation process are effectively improved.

Description

Technical Field

[0001] The present invention belongs to the technical field of lithium batteries, and in particular relates to a gas control method, system, equipment and storage medium in lithium battery formation. Background Art

[0002] As the mainstream carrier of current energy storage, the performance of lithium batteries has a direct impact on the application effects in many fields such as electric vehicles and portable electronic devices. In the production process of lithium batteries, the formation process is crucial, which involves the electrochemical activation of the internal materials of the lithium battery to form a stable solid electrolyte interface film. However, the formation process of lithium batteries is accompanied by the generation of gases. If these gases cannot be discharged in a timely and effective manner, it will not only affect the capacity and cycle life of the lithium battery, but may also form black spots on the negative electrode of the lithium battery, further threatening the safety and stability of the lithium battery.

[0003] At present, in the formation process of lithium batteries, the gas generated is generally removed by exhaustion. However, this method cannot detect the gas production in real time, and the exhaust effect is limited by the performance of the exhaust valve and the choice of exhaust time, making it difficult to ensure that the gas inside the lithium battery cell is completely exhausted. In addition, due to improper operation or equipment limitations, too much gas may be left in the exhaust process, resulting in black spots on the negative electrode of the lithium battery.

[0004] Therefore, how to effectively control the gas generated during the formation process of lithium batteries is a technical problem that needs to be solved urgently. Summary of the invention

[0005] In order to solve the technical problem that gas cannot be completely discharged during the formation process of the above-mentioned lithium battery, the present invention provides a gas control method, system, device and storage medium in the formation of a lithium battery.

[0006] In a first aspect, the present invention provides a gas control method in lithium battery formation, comprising:

[0007] The gas concentration data inside the battery cell during the formation process of the lithium battery is monitored in real time by a gas concentration detector, and the monitored gas concentration data is sent to the negative pressure regulating device installed on the exhaust valve;

[0008] Preset the gas concentration threshold inside the battery cell during the lithium battery formation process, and determine in real time whether the gas concentration data inside the battery cell during the lithium battery formation process is greater than the preset gas concentration threshold;

[0009] When the gas concentration data inside the battery cell during the formation process of the monitored lithium battery is greater than a preset gas concentration threshold, a feedback signal is generated, and the generated feedback signal is sent to the negative pressure regulating device;

[0010] According to the real-time monitored gas concentration data inside the lithium battery cell and the feedback signal received from the negative pressure regulating device, an intelligent control algorithm is used to dynamically adjust various parameter information in the lithium battery formation process.

[0011] Preferably, the preset gas concentration threshold inside the battery cell during the lithium battery formation process is specifically:

[0012] The preset gas concentration threshold inside the battery cell during the lithium battery formation process is 0.02%.

[0013] Preferably, when the gas concentration data inside the battery cell during the formation process of the monitored lithium battery is greater than a preset gas concentration threshold, a feedback signal is generated, and the generated feedback signal is sent to the negative pressure regulating device, including:

[0014] When the gas concentration inside the battery cell during the formation process of the monitored lithium battery is greater than 0.02%, the concentration detector generates a feedback signal of abnormal gas concentration and sends the generated feedback signal to the negative pressure regulating device;

[0015] The negative pressure regulating device controls the air extraction valve in the lithium battery formation equipment to increase the air extraction force and air extraction speed according to the received feedback signal of abnormal gas concentration.

[0016] Preferably, the intelligent control algorithm is used to dynamically adjust various parameter information in the lithium battery formation process according to the monitored gas concentration data inside the lithium battery cell and the feedback signal received from the negative pressure regulating device, specifically:

[0017] According to the monitored gas concentration data inside the lithium battery cell and the feedback signal received from the negative pressure regulating device, a neural network control algorithm is used to dynamically adjust the current density and formation temperature during the lithium battery formation process.

[0018] Preferably, the current density and formation temperature information in the formation process of the lithium battery are dynamically adjusted using a neural network control algorithm according to the monitored gas concentration data inside the lithium battery cell and the feedback signal received from the negative pressure regulating device, including:

[0019] Performing data preprocessing on the gas concentration data inside the lithium battery cell monitored in real time and the feedback signal received from the negative pressure regulating device to obtain the gas concentration data inside the lithium battery cell and the feedback signal from the negative pressure regulating device after data preprocessing;

[0020] The gas concentration data inside the lithium battery cell after data preprocessing and the feedback signal from the negative pressure regulating device are input into the neural network model to predict the current density and formation temperature during the lithium battery formation process in real time;

[0021] According to the real-time predicted current density and formation temperature of the lithium battery during the formation process, the current density and formation temperature of the lithium battery during the formation process are dynamically adjusted.

[0022] Preferably, the current density and the formation temperature in the lithium battery formation process are dynamically adjusted according to the real-time predicted current density and the formation temperature in the lithium battery formation process, specifically:

[0023] The gas concentration data monitored during the lithium battery formation process is divided into different levels, and the current density and the formation temperature during the lithium battery formation process are correspondingly reduced according to the levels of the divided gas concentration data.

[0024] Preferably, the data preprocessing of the monitored gas concentration data inside the lithium battery cell and the received feedback signal from the negative pressure regulating device includes:

[0025] Performing data cleaning on the monitored gas concentration data inside the lithium battery cell and the feedback signal received from the negative pressure regulating device, and removing abnormal values ​​of the gas concentration data inside the lithium battery cell and the feedback signal from the negative pressure regulating device;

[0026] The gas concentration data inside the lithium battery cell after removing abnormal values ​​and the feedback signal in the negative pressure regulating device are normalized to obtain the pre-processed gas concentration data inside the lithium battery cell and the feedback signal in the negative pressure regulating device.

[0027] In a second aspect, the present invention further provides a gas control system in lithium battery formation, the system being used to implement the gas control method in lithium battery formation as described in any one of the first aspects above, comprising:

[0028] The monitoring module is used to monitor the gas concentration data inside the battery cell in the lithium battery formation process in real time through a gas concentration detector, and send the monitored gas concentration data to the negative pressure regulating device installed on the exhaust valve;

[0029] The judgment module is used to preset the gas concentration threshold value inside the battery cell during the lithium battery formation process, and to judge in real time whether the gas concentration data inside the battery cell during the lithium battery formation process is greater than the preset gas concentration threshold value;

[0030] A feedback module, used for generating a feedback signal when the gas concentration data inside the battery cell during the formation process of the monitored lithium battery is greater than a preset gas concentration threshold, and sending the generated feedback signal to the negative pressure regulating device;

[0031] The regulating module is used to dynamically adjust various parameter information in the lithium battery formation process using an intelligent control algorithm based on the real-time monitored gas concentration data inside the lithium battery cell and the feedback signal received from the negative pressure regulating device.

[0032] In a third aspect, a computer device is provided, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor implements the steps of the gas control method in lithium battery formation when executing the computer program.

[0033] In a fourth aspect, a computer-readable storage medium is provided, wherein the computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the steps of the gas control method in the lithium battery formation are implemented.

[0034] Compared with the prior art, the gas control method in lithium battery formation provided by the present invention uses an intelligent control algorithm to dynamically adjust various parameter information in the lithium battery formation process through real-time monitoring of gas concentration data inside the lithium battery cell and feedback signals received from the negative pressure regulating device, thereby effectively improving the automation level and production efficiency of the lithium battery formation process. BRIEF DESCRIPTION OF THE DRAWINGS

[0035] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only part of the embodiments of the present invention, rather than all of the embodiments. For ordinary technicians in this field, without paying creative work, other drawings obtained based on these drawings all fall within the scope of protection of the present invention.

[0036] Figure 1 A schematic flow chart of a gas control method in lithium battery formation provided by an embodiment of the present invention;

[0037] Figure 2 A schematic diagram of the structure of a gas control system in lithium battery formation provided by an embodiment of the present invention;

[0038] Figure 3 A schematic diagram of the structure of an electronic device provided by an embodiment of the present invention;

[0039] Figure 4 A schematic diagram of a storage medium structure provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0040] In order to make the purpose, technical solution and advantages of the present invention more clearly understood, the present invention is further described in detail below in conjunction with the accompanying drawings and specific embodiments. It should be understood that the specific embodiments described herein are only used to explain the present invention and are not used to limit the present invention.

[0041] In order to make the description of the content of the present invention more detailed and complete, the following is an illustrative description of the implementation method and specific examples of the present invention; however, this is not the only form of implementing or applying the specific embodiments of the present invention. The implementation method covers the features of multiple specific embodiments and the method steps and their sequence for constructing and operating these specific embodiments. However, other specific embodiments can also be used to achieve the same or equal functions and step sequences. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative work are within the scope of protection of the present invention.

[0042] It should be noted that the terms "first", "second", etc. in the specification and claims of the present invention and the above-mentioned drawings are used to distinguish similar objects, and are not necessarily used to describe a specific order or sequence. It should be understood that the numbers used in this way can be interchanged where appropriate, so that the embodiments of the present invention described herein can be implemented in an order other than those illustrated or described herein.

[0043] In the description of the embodiments of the present invention, unless otherwise specified, “ / ” means or, for example, A / B can mean A or B; “and / or” in the text is merely a description of the association relationship of associated objects, indicating that three relationships may exist, for example, A and / or B can mean: A exists alone, A and B exist at the same time, and B exists alone. In addition, in the description of the embodiments of the present invention, “multiple” means two or more than two, and other quantifiers are similar. It should be understood that the preferred embodiments described herein are only used to illustrate and explain the present invention, and are not used to limit the present invention, and the embodiments of the present invention and the features in the embodiments may be combined with each other without conflict.

[0044] In order to solve the technical problem that the gas cannot be completely discharged during the existing lithium battery formation process, the present invention provides a gas control method in the lithium battery formation process, please refer to Figure 1 , Figure 1 A flow chart of a gas control method in lithium battery formation provided by an embodiment of the present invention, wherein the gas control method in lithium battery formation comprises the following steps:

[0045] S101. Use a gas concentration detector to monitor the gas concentration data inside the battery cell during the formation process of the lithium battery in real time, and send the monitored gas concentration data to the negative pressure regulating device installed on the exhaust valve. Specifically, in an embodiment of the present invention, first, a highly sensitive gas concentration detector is installed on the internal structure of the lithium battery cell, and the gas concentration data inside the battery cell during the formation process of the lithium battery is monitored in real time by the gas concentration detector. Secondly, a negative pressure regulating device is integrated on the exhaust valve of the lithium battery formation equipment. The negative pressure regulating device can automatically adjust the internal pressure according to the feedback signal of the gas concentration detector to ensure that when the gas concentration data reaches the preset threshold, the exhaust force is promptly increased to efficiently discharge the excess gas.

[0046] S102, preset the gas concentration threshold inside the battery cell during the lithium battery formation process, and judge in real time whether the gas concentration data inside the battery cell during the lithium battery formation process is greater than the preset gas concentration threshold. Specifically, in the embodiment of the present invention, after obtaining the gas concentration data, the gas concentration threshold inside the battery cell during the lithium battery formation process can be preset, and when the real-time monitored gas concentration data is transmitted to the negative pressure regulating device, the obtained gas concentration data can be compared with the preset gas concentration threshold in real time to ensure that once the gas concentration data in the lithium battery formation equipment increases abnormally, it can be discovered in time.

[0047] S103, when the gas concentration data inside the battery cell during the formation process of the monitored lithium battery is greater than the preset gas concentration threshold, a feedback signal is generated, and the generated feedback signal is sent to the negative pressure regulating device. Specifically, in the embodiment of the present invention, when the gas concentration data inside the battery cell monitored is greater than the preset gas concentration threshold, the negative pressure regulating device will automatically generate a feedback signal, wherein the feedback signal carries information about the abnormal gas concentration, ensuring that the negative pressure regulating device can be informed of the abnormal gas concentration in a timely manner, and providing a basis for dynamic adjustment of various parameter information in the subsequent lithium battery formation process.

[0048] S104, according to the real-time monitored gas concentration data inside the lithium battery cell and the feedback signal received from the negative pressure regulating device, the intelligent control algorithm is used to dynamically adjust the various parameter information in the lithium battery formation process. Specifically, in the embodiment of the present invention, a matching intelligent control algorithm is developed to monitor the gas concentration data inside the lithium battery cell and the various parameter information in the lithium battery formation process in real time, and dynamically adjust the various parameter information in the lithium battery formation process, so as to achieve refined control of the lithium battery formation process.

[0049] As an implementation method, the preset gas concentration threshold value inside the battery cell during the lithium battery formation process is specifically: the preset gas concentration threshold value inside the battery cell during the lithium battery formation process is 0.02%. Specifically, in the embodiment of the present invention, if the gas concentration inside the battery cell during the lithium battery formation process is greater than 0.02%,

[0050] When the gas concentration inside the battery cell is too high, it will cause gas accumulation in the battery cell and increase the pressure inside the battery cell. If the pressure exceeds the bearing limit of components such as the battery cell casing or diaphragm, it may cause the lithium battery cell to bulge or even rupture, leading to serious safety accidents such as thermal runaway. In addition, too much gas may interfere with the transmission of lithium ions between the positive and negative electrodes, affecting the charge and discharge efficiency, capacity and cycle life of the lithium battery cell.

[0051] As an implementation mode, when the gas concentration data inside the battery cell during the formation of the monitored lithium battery is greater than the preset gas concentration threshold, a feedback signal is generated, and the generated feedback signal is sent to the negative pressure regulating device, including: when the gas concentration inside the battery cell during the formation of the monitored lithium battery is greater than 0.02%, the concentration detector generates a feedback signal of abnormal gas concentration, and sends the generated feedback signal to the negative pressure regulating device; the negative pressure regulating device controls the exhaust valve in the lithium battery formation equipment to increase the exhaust force and exhaust speed according to the received feedback signal of abnormal gas concentration. Specifically, in the embodiment of the present invention, the negative pressure regulating device controls the exhaust valve in the lithium battery formation equipment according to the received feedback signal of abnormal gas concentration, effectively realizing the real-time feedback and automatic control function of the lithium battery formation process. Compared with the traditional timed exhaust or manual exhaust adjustment method, it can be adjusted more accurately according to the actual situation inside the lithium battery cell.

[0052] As an implementation mode, the gas concentration data inside the lithium battery cell monitored and the feedback signal received from the negative pressure regulating device are used to dynamically adjust the various parameter information in the lithium battery formation process using an intelligent control algorithm, specifically: according to the gas concentration data inside the lithium battery cell monitored and the feedback signal received from the negative pressure regulating device, a neural network control algorithm is used to dynamically adjust the current density and formation temperature in the lithium battery formation process. Specifically, in an embodiment of the present invention, a neural network control algorithm is used to realize intelligent control of the lithium battery formation process. The algorithm can handle complex nonlinear relationships and accurately adjust the current density and formation temperature according to the real-time monitored gas concentration data and feedback signals. Compared with the traditional formation process with fixed parameters, it can better adapt to the changes of different lithium batteries in the formation process, reduce manual intervention, and improve the automation and efficiency of the lithium battery production process.

[0053] As an implementation mode, the current density and formation temperature information in the lithium battery formation process are dynamically adjusted using a neural network control algorithm based on the monitored gas concentration data inside the lithium battery cell and the feedback signal received from the negative pressure regulating device, including: performing data preprocessing on the real-time monitored gas concentration data inside the lithium battery cell and the feedback signal received from the negative pressure regulating device to obtain the preprocessed gas concentration data inside the lithium battery cell and the feedback signal from the negative pressure regulating device; inputting the preprocessed gas concentration data inside the lithium battery cell and the feedback signal from the negative pressure regulating device into a neural network model to predict the current density and formation temperature in the lithium battery formation process in real time; and dynamically adjusting the current density and formation temperature in the lithium battery formation process based on the real-time predicted current density and formation temperature in the lithium battery formation process. Specifically, in the embodiment of the present invention, the neural network control algorithm dynamically adjusts the current density according to the monitored gas concentration data and the feedback signal, which can ensure that the reaction rate between the electrode material and the electrolyte remains within an appropriate range. At the same time, the formation temperature during the lithium battery formation process is dynamically adjusted to prevent damage to the lithium battery cell caused by excessively high or low temperature.

[0054] As an implementation mode, the current density and formation temperature in the lithium battery formation process are dynamically adjusted according to the real-time predicted current density and formation temperature in the lithium battery formation process, specifically: the gas concentration data in the lithium battery formation process monitored is divided into different levels, and the current density and formation temperature in the lithium battery formation process are correspondingly reduced according to the levels of the divided gas concentration data. Specifically, in the embodiment of the present invention, the gas concentration data is divided into levels and the current density and temperature are adjusted accordingly, so as to realize the refined control of the lithium battery formation process. This method can better adapt to the actual situation of different lithium batteries in the formation process than simple fixed parameter control, making the production process more controllable, and the operator can clearly understand the formation state of each battery cell according to the set level standard, and take corresponding measures, which effectively improves the efficiency and accuracy of production management.

[0055] As an implementation mode, the data preprocessing of the gas concentration data monitored inside the lithium battery cell and the feedback signal received from the negative pressure regulating device includes: cleaning the gas concentration data monitored inside the lithium battery cell and the feedback signal received from the negative pressure regulating device, and removing the abnormal values ​​of the gas concentration data inside the lithium battery cell and the feedback signal in the negative pressure regulating device; normalizing the gas concentration data inside the lithium battery cell and the feedback signal in the negative pressure regulating device after removing the abnormal values, and obtaining the preprocessed gas concentration data inside the lithium battery cell and the feedback signal in the negative pressure regulating device. Specifically, in an embodiment of the present invention, the gas concentration data and feedback signal data monitored in real time can be cleaned first to remove abnormal values ​​or erroneous data. For example, if a gas concentration detector fails and the concentration value collected at a certain moment is obviously beyond the normal range, it is necessary to identify and process these abnormal data points. In addition, it is also necessary to normalize the data and map data of different ranges to specific intervals to improve the efficiency and stability of neural network training. For example, the gas concentration values ​​during the formation process of a lithium battery are normalized to the interval [0, 1] through linear transformation, where 0 represents the lowest gas concentration data and 1 represents the highest gas concentration data.

[0056] On the other hand, the present invention also provides a gas control system in lithium battery formation, please refer to Figure 2 , Figure 2 A structural schematic diagram of a gas control system in lithium battery formation provided by an embodiment of the present invention, the system is used to implement the gas control method in lithium battery formation as described in the first aspect above, including: a monitoring module 21, used to monitor the gas concentration data inside the battery cell during the lithium battery formation process in real time through a gas concentration detector, and send the monitored gas concentration data to a negative pressure regulating device installed on the exhaust valve; a judgment module 22, used to preset a gas concentration threshold inside the battery cell during the lithium battery formation process, and to judge in real time whether the gas concentration data inside the battery cell during the lithium battery formation process is greater than the preset gas concentration threshold; a feedback module 23, used to generate a feedback signal when the monitored gas concentration data inside the battery cell during the lithium battery formation process is greater than the preset gas concentration threshold, and send the generated feedback signal to the negative pressure regulating device; a regulation module 24, used to dynamically adjust various parameter information in the lithium battery formation process using an intelligent control algorithm according to the real-time monitored gas concentration data inside the lithium battery cell and the feedback signal received from the negative pressure regulating device.

[0057] The gas control system in the lithium battery formation provided in the embodiment of the present invention can execute the technical solution of the gas control method in the lithium battery formation in any of the above embodiments, and its implementation principle and beneficial effects are similar to the implementation principle and beneficial effects of the gas control method in the lithium battery formation. Please refer to the implementation principle and beneficial effects of the gas control method in the lithium battery formation, and no further details will be given here.

[0058] Please refer to Figure 3 , Figure 3 FIG. 1 is a schematic diagram of the structure of an electronic device provided by an embodiment of the present invention. Figure 3 As shown, the device 30 includes a processor 31 and a memory 32 coupled to the processor 31. The memory 32 stores program instructions for implementing the gas control method in the lithium battery formation of any of the above embodiments. The processor 31 is used to execute the program instructions stored in the memory 32. Among them, the processor 31 can also be called a CPU (Central Processing Unit). The processor 31 may be an integrated circuit chip with signal processing capabilities. The processor 31 can also be a general-purpose processor, a digital signal processor (DSP), an application-specific integrated circuit (ASIC), a field programmable gate array (FPGA) or other programmable logic devices, discrete gates or transistor logic devices, discrete hardware components. The general-purpose processor can be a microprocessor or the processor can also be any conventional processor, etc.

[0059] Please refer to Figure 4 , Figure 4 A schematic diagram of a storage medium structure provided for an embodiment of the present invention. The storage medium 40 of the embodiment of the present invention stores program instructions 41 that can implement the gas control method in the above-mentioned lithium battery formation, wherein the program instructions 41 can be stored in the above-mentioned storage medium in the form of a software product, including a number of instructions for a computer device (which can be a personal computer, server, or network device, etc.) or a processor (processor) to perform all or part of the steps of the method described in each embodiment of the present invention. The aforementioned storage medium includes: U disk, mobile hard disk, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), disk or optical disk and other media that can store program codes, or terminal devices such as computers, servers, mobile phones, tablets, etc.

[0060] In the several embodiments provided by the present invention, it should be understood that the disclosed devices and methods can be implemented in other ways. For example, the device embodiments described above are only schematic, for example, the division of units is only a logical function division, and there may be other division methods in actual implementation, such as multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some interfaces, indirect coupling or communication connection of devices or units, which can be electrical, mechanical or other forms.

[0061] In addition, each functional unit in each embodiment of the present invention may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit. The above integrated unit may be implemented in the form of hardware or in the form of software functional units. The above is only an implementation mode of the present invention, and does not limit the patent scope of the present invention. Any equivalent structure or equivalent process transformation made by using the contents of the present invention specification and drawings, or directly or indirectly used in other related technical fields, are also included in the patent protection scope of the present invention.

[0062] The above are only preferred embodiments of the present invention, and are not intended to limit the present invention in any form. Although the present invention has been disclosed as above in the form of preferred embodiments, it is not intended to limit the present invention. Any technical personnel in the field can make some changes or modify the technical contents disclosed above into equivalent embodiments without departing from the scope of the technical solution of the present invention. However, any brief modifications, equivalent changes and modifications made to the above embodiments based on the technical essence of the present invention without departing from the content of the technical solution of the present invention are still within the scope of the technical solution of the present invention.

Claims

1. A gas control method in lithium battery formation, characterized in that: include: The gas concentration data inside the battery cell during the formation process of the lithium battery is monitored in real time by a gas concentration detector, and the monitored gas concentration data is sent to the negative pressure regulating device installed on the exhaust valve; Preset the gas concentration threshold inside the battery cell during the lithium battery formation process, and determine in real time whether the gas concentration data inside the battery cell during the lithium battery formation process is greater than the preset gas concentration threshold; When the gas concentration data inside the battery cell during the formation process of the monitored lithium battery is greater than a preset gas concentration threshold, a feedback signal is generated, and the generated feedback signal is sent to the negative pressure regulating device; According to the real-time monitored gas concentration data inside the lithium battery cell and the feedback signal received from the negative pressure regulating device, an intelligent control algorithm is used to dynamically adjust various parameter information in the lithium battery formation process.

2. The gas control method in lithium battery formation according to claim 1, characterized in that: The preset gas concentration threshold inside the battery cell during the lithium battery formation process is specifically: The preset gas concentration threshold inside the battery cell during the lithium battery formation process is 0.02%.

3. The gas control method in lithium battery formation according to claim 2, characterized in that: The method generates a feedback signal when the gas concentration data inside the battery cell during the formation process of the monitored lithium battery is greater than a preset gas concentration threshold, and sends the generated feedback signal to the negative pressure regulating device, including: When the gas concentration inside the battery cell during the formation process of the monitored lithium battery is greater than 0.02%, the gas concentration detector generates a feedback signal of abnormal gas concentration and sends the generated feedback signal to the negative pressure regulating device; The negative pressure regulating device controls the air extraction valve in the lithium battery formation equipment to increase the air extraction force and air extraction speed according to the received feedback signal of abnormal gas concentration.

4. The gas control method in lithium battery formation according to claim 1, characterized in that: According to the monitored gas concentration data inside the lithium battery cell and the feedback signal received from the negative pressure regulating device, the intelligent control algorithm is used to dynamically adjust various parameter information during the lithium battery formation process, specifically: According to the monitored gas concentration data inside the lithium battery cell and the feedback signal received from the negative pressure regulating device, a neural network control algorithm is used to dynamically adjust the current density and formation temperature during the lithium battery formation process.

5. The gas control method in lithium battery formation according to claim 4, characterized in that: The method uses a neural network control algorithm to dynamically adjust the current density and formation temperature information during the formation process of the lithium battery according to the monitored gas concentration data inside the lithium battery cell and the feedback signal received from the negative pressure regulating device, including: Performing data preprocessing on the gas concentration data inside the lithium battery cell monitored in real time and the feedback signal received from the negative pressure regulating device to obtain the gas concentration data inside the lithium battery cell and the feedback signal from the negative pressure regulating device after data preprocessing; The gas concentration data inside the lithium battery cell after data preprocessing and the feedback signal from the negative pressure regulating device are input into the neural network model to predict the current density and formation temperature during the lithium battery formation process in real time; According to the real-time predicted current density and formation temperature of the lithium battery during the formation process, the current density and formation temperature of the lithium battery during the formation process are dynamically adjusted.

6. The gas control method in lithium battery formation according to claim 5, characterized in that: The current density and the formation temperature of the lithium battery during the formation process are dynamically adjusted according to the real-time predicted current density and the formation temperature of the lithium battery during the formation process, specifically: The gas concentration data monitored during the lithium battery formation process is divided into different levels, and the current density and the formation temperature during the lithium battery formation process are correspondingly reduced according to the levels of the divided gas concentration data.

7. The gas control method in lithium battery formation according to claim 5, characterized in that: The data preprocessing of the monitored gas concentration data inside the lithium battery cell and the received feedback signal from the negative pressure regulating device includes: Performing data cleaning on the monitored gas concentration data inside the lithium battery cell and the feedback signal received from the negative pressure regulating device, and removing abnormal values ​​of the gas concentration data inside the lithium battery cell and the feedback signal from the negative pressure regulating device; The gas concentration data inside the lithium battery cell after removing abnormal values ​​and the feedback signal in the negative pressure regulating device are normalized to obtain the pre-processed gas concentration data inside the lithium battery cell and the feedback signal in the negative pressure regulating device.

8. A gas control system in lithium battery formation, the system being used to implement the gas control method in lithium battery formation according to any one of claims 1 to 7, characterized in that: include: The monitoring module is used to monitor the gas concentration data inside the battery cell in the lithium battery formation process in real time through a gas concentration detector, and send the monitored gas concentration data to the negative pressure regulating device installed on the exhaust valve; The judgment module is used to preset the gas concentration threshold value inside the battery cell during the lithium battery formation process, and to judge in real time whether the gas concentration data inside the battery cell during the lithium battery formation process is greater than the preset gas concentration threshold value; A feedback module, used for generating a feedback signal when the gas concentration data inside the battery cell during the formation process of the monitored lithium battery is greater than a preset gas concentration threshold, and sending the generated feedback signal to the negative pressure regulating device; The regulating module is used to dynamically adjust various parameter information in the lithium battery formation process using an intelligent control algorithm based on the real-time monitored gas concentration data inside the lithium battery cell and the feedback signal received from the negative pressure regulating device.

9. A computer device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that: When the processor executes the computer program, the steps of the gas control method in lithium battery formation as described in any one of claims 1 to 7 are implemented.

10. A computer-readable storage medium storing a computer program, characterized in that: When the computer program is executed by a processor, the steps of the gas control method in lithium battery formation as claimed in any one of claims 1 to 7 are implemented.

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