An analysis method and device for a battery infiltration process, and an electronic device

Abstract

The present disclosure provides an analysis method and device for a battery infiltration process and an electronic device. When the electrolyte infiltration process of the battery starts, a preset detection potential is applied to the battery, wherein the preset detection potential is the potential for the battery to generate an SEI film; an initial current value corresponding to the battery at the start of the electrolyte infiltration process is determined; a target change relationship of the current of the battery with respect to time is monitored during the electrolyte infiltration process; an influence function of the electrolyte infiltration process on the growth rate of the SEI film is constructed according to the initial current value and the target change relationship; when the influence function converges to a preset threshold value, a target time corresponding to the influence function is determined, and the target time is determined as the infiltration completion time corresponding to the electrolyte infiltration process. The exact time of battery infiltration completion can be intuitively reflected, the wettability effect of the electrolyte is obtained, and the integrity of each component material of the battery is maintained without introducing any excess substances.

Description

Technical Field

[0001] This disclosure relates to the field of battery technology, and more specifically, to an analytical method, apparatus, and electronic device for battery wetting processes. Background Technology

[0002] With the rise of new energy vehicles, the development of high-energy-density and safe lithium batteries is urgently needed. Based on continuous research and improvement of electrode materials, optimizing the lithium battery manufacturing process can effectively increase the battery's specific energy, often achieved by increasing the loading of active materials and increasing their compaction density. However, this method reduces the wettability of the electrolyte to the electrodes. The electrolyte is one of the key materials in battery manufacturing, playing a role in ion conduction between the positive and negative electrodes, ensuring the battery achieves high voltage, high specific energy, and other advantages. For batteries, the uniform distribution of the electrolyte has a crucial impact on the internal current distribution, helping to reduce internal resistance, increase charge / discharge rates, and extend cycle life. Conversely, poor electrolyte wetting can lead to lithium deposition on the electrode surface, causing rapid capacity decay, internal micro-short circuits, and other harmful effects. Therefore, addressing the electrolyte wetting process inside the battery is essential.

[0003] Currently, AC impedance testing used for online inspection of electrolyte wetting in the production process does not provide a clear indication of the wetting inside the electrode layer, cannot effectively measure the impact of electrolyte wetting of the electrode, and does not provide quantitative results of the completion of the wetting process. While methods to determine electrolyte wetting effectiveness include measuring electrolyte viscosity, visually observing the electrolyte wetting process on the electrode, measuring the material's absorbency and retention to infer the electrolyte's wetting effect, or immersing the material in electrolyte and calculating the percentage difference in material weight before and after immersion, these methods only provide qualitative analysis of electrolyte wetting behavior and can only evaluate the wetting effect of a single component in the battery, failing to study the wetting process of the entire battery system. Summary of the Invention

[0004] This disclosure provides at least one method, apparatus, and electronic device for analyzing the battery immersion process, which can intuitively reflect the exact time when the battery immersion is completed, obtain the wetting effect of the electrolyte, and at the same time maintain the integrity of the battery components and do not introduce any excess substances.

[0005] This disclosure provides an analytical method for the battery wetting process, including:

[0006] When the electrolyte wetting process of the battery begins, a preset detection potential is applied to the battery, wherein the preset detection potential is the potential at which the battery generates the SEI film;

[0007] Determine the initial current value of the battery at the start of the electrolyte wetting process;

[0008] During the electrolyte wetting process, the target change relationship of the battery current over time is monitored;

[0009] Based on the relationship between the initial current value and the target change, an influence function is constructed to show the effect of the electrolyte wetting process on the growth rate of the SEI membrane.

[0010] Determine the target time when the influence function converges to a preset threshold, and set the target time as the wetting completion time corresponding to the electrolyte wetting process.

[0011] In an optional implementation, after determining the target time corresponding to when the influence function converges to a preset threshold, and defining the target time as the wetting completion time corresponding to the electrolyte wetting process, the method further includes:

[0012] Determine the stacking aperture corresponding to the electrodes of the battery;

[0013] The surface tension and contact angle between the electrolyte and the electrode of the battery are collected;

[0014] Determine the viscosity of the electrolyte;

[0015] Based on the stacked pore size, surface tension, contact angle, viscosity, and wetting completion time, wetting index values ​​are determined to evaluate the wetting effect of the electrolyte wetting process.

[0016] In one optional embodiment, determining the wetting index value for evaluating the wetting effect of the electrolyte wetting process based on the stacked pore size, the surface tension, the contact angle, the viscosity, and the wetting completion time specifically includes:

[0017] Based on the stacked aperture, the surface tension, the contact angle, the viscosity, and the wetting completion time, a wetting thickness function reflecting the electrolyte wetting process is constructed.

[0018] The permeability corresponding to the electrolyte wetting process is determined based on the wetting thickness function.

[0019] The permeability is determined as the wetting index value.

[0020] In one optional implementation, the influence function is expressed by the following formula:

[0021] △I=I(t0)-I(t1) t1＝浸润过程时间

[0022] Wherein, △I represents the influence function; I(t0) represents the initial current value of the battery at the start of the electrolyte wetting process; t0 represents the start time of the electrolyte wetting process; I(t1) t1＝浸润过程时间 t1 represents the target change relationship between the current of the battery and time; t1 represents the time point in the electrolyte wetting process.

[0023] In one alternative implementation, the electrolyte wetting process is initiated based on the following steps:

[0024] Electrolyte is filled into a polyethylene bag, and the polyethylene bag is sealed into the battery under vacuum conditions;

[0025] The polyethylene bag is decompressed to release the electrolyte and initiate the electrolyte wetting process.

[0026] This disclosure also provides an analytical apparatus for the battery wetting process, comprising:

[0027] A potential application module is used to apply a preset detection potential to the battery when the electrolyte wetting process of the battery begins, wherein the preset detection potential is the potential at which the battery generates an SEI film;

[0028] An initial current determination module is used to determine the initial current value of the battery at the start of the electrolyte wetting process;

[0029] The immersion process current monitoring module is used to monitor the target change relationship of the battery current over time during the electrolyte immersion process.

[0030] The influence function determination module is used to construct an influence function of the electrolyte wetting process affecting the growth rate of the SEI membrane based on the relationship between the initial current value and the target change.

[0031] The immersion time determination module is used to determine the target time when the influence function converges to a preset threshold, and to determine the target time as the immersion completion time corresponding to the electrolyte immersion process.

[0032] This disclosure also provides an electronic device, including: a processor, a memory, and a bus. The memory stores machine-readable instructions executable by the processor. When the electronic device is running, the processor communicates with the memory via the bus. When the machine-readable instructions are executed by the processor, they perform the steps of the above-described battery immersion process analysis method, or any possible implementation of the above-described battery immersion process analysis method.

[0033] This disclosure also provides a computer-readable storage medium storing a computer program that, when executed by a processor, performs the steps of the above-described battery immersion process analysis method, or any possible implementation of the above-described battery immersion process analysis method.

[0034] This disclosure also provides a computer program product, including a computer program / instructions, which, when executed by a processor, implements the analysis method for the battery immersion process described above, or the steps in any possible implementation of the analysis method for the battery immersion process described above.

[0035] This disclosure provides a method, apparatus, and electronic device for analyzing the electrolyte wetting process. When the electrolyte wetting process begins, a preset detection potential is applied to the battery, where the preset detection potential is the potential for the formation of the SEI film. The initial current value of the battery at the start of the electrolyte wetting process is determined. During the electrolyte wetting process, a target change relationship between the battery current and time is monitored. Based on the initial current value and the target change relationship, an influence function of the electrolyte wetting process on the growth rate of the SEI film is constructed. A target time is determined when the influence function converges to a preset threshold, and this target time is defined as the wetting completion time corresponding to the electrolyte wetting process. This method can intuitively reflect the exact time of battery wetting completion, revealing the wettability effect of the electrolyte, while maintaining the integrity of the battery's constituent materials and not introducing any excess substances.

[0036] To make the above-mentioned objects, features and advantages of this disclosure more apparent and understandable, preferred embodiments are described below in detail with reference to the accompanying drawings. Attached Figure Description

[0037] To more clearly illustrate the technical solutions of the embodiments of this disclosure, the accompanying drawings used in the embodiments will be briefly described below. These drawings are incorporated in and constitute a part of this specification. They illustrate embodiments conforming to this disclosure and, together with the specification, serve to explain the technical solutions of this disclosure. It should be understood that the following drawings only show some embodiments of this disclosure and should not be considered as limiting the scope. Those skilled in the art can obtain other related drawings based on these drawings without creative effort.

[0038] Figure 1 A flowchart illustrating an analysis method for a battery wetting process provided in an embodiment of this disclosure is shown;

[0039] Figure 2 A flowchart illustrating another method for analyzing the battery wetting process provided in an embodiment of this disclosure is shown;

[0040] Figure 3 A schematic diagram of an analytical apparatus for a battery wetting process provided in an embodiment of this disclosure is shown;

[0041] Figure 4 A schematic diagram of an electronic device provided in an embodiment of the present disclosure is shown. Detailed Implementation

[0042] To make the objectives, technical solutions, and advantages of the embodiments of this disclosure clearer, the technical solutions of the embodiments of this disclosure will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only a part of the embodiments of this disclosure, and not all of them. The components of the embodiments of this disclosure described and shown in the accompanying drawings can generally be arranged and designed in various different configurations. Therefore, the following detailed description of the embodiments of this disclosure provided in the accompanying drawings is not intended to limit the scope of the claimed disclosure, but merely represents selected embodiments of this disclosure. All other embodiments obtained by those skilled in the art based on the embodiments of this disclosure without inventive effort are within the scope of protection of this disclosure.

[0043] It should be noted that similar labels and letters in the following figures indicate similar items. Therefore, once an item is defined in one figure, it does not need to be further defined and explained in subsequent figures.

[0044] In this document, the term "and / or" merely describes a relationship, indicating that three relationships can exist. For example, A and / or B can represent three cases: A alone, A and B simultaneously, and B alone. Furthermore, the term "at least one" in this document means any combination of at least two of any one or more elements. For example, including at least one of A, B, and C can mean including any one or more elements selected from the set consisting of A, B, and C.

[0045] Research has revealed that current AC impedance testing for electrolyte wetting in online production processes does not provide clear indications of the wetting within the electrode layer, cannot effectively measure the impact of electrolyte wetting of the electrodes, and does not provide quantitative results indicating the completion of the wetting process. While methods such as measuring electrolyte viscosity to determine wetting effectiveness, visually observing the wetting process of the electrode, measuring the material's absorbency and retention to infer the wetting effect, or immersing the material in electrolyte and calculating the percentage difference in weight before and after immersion to determine the wetting effect, only provide qualitative analysis of the electrolyte wetting behavior and can only evaluate the wetting effect of a single component in the battery, failing to study the wetting process of the entire battery system.

[0046] Based on the above research, this disclosure provides an analytical method, apparatus, and electronic device for the battery wetting process. When the electrolyte wetting process begins, a preset detection potential is applied to the battery, wherein the preset detection potential is the potential at which the SEI film is formed. The initial current value of the battery at the start of the electrolyte wetting process is determined. During the electrolyte wetting process, a target change relationship between the battery current and time is monitored. Based on the initial current value and the target change relationship, an influence function of the electrolyte wetting process on the growth rate of the SEI film is constructed. A target time corresponding to when the influence function converges to a preset threshold is determined, and this target time is defined as the wetting completion time corresponding to the electrolyte wetting process. This method can intuitively reflect the exact time of battery wetting completion, obtain the wetting effect of the electrolyte, and maintain the integrity of the battery's constituent materials without introducing any excess substances.

[0047] To facilitate understanding of this embodiment, a detailed description of the battery immersion process analysis method disclosed in this disclosure embodiment will be provided first. The execution entity of the battery immersion process analysis method provided in this disclosure embodiment is generally a computer device with certain computing capabilities. This computer device may include, for example, a terminal device, a server, or other processing devices. The terminal device may be a user equipment (UE), mobile device, user terminal, terminal, cellular phone, cordless phone, personal digital assistant (PDA), handheld device, computing device, in-vehicle device, wearable device, etc. In some possible implementations, the battery immersion process analysis method can be implemented by a processor calling computer-readable instructions stored in memory.

[0048] See Figure 1 The diagram shows a flowchart of an analysis method for a battery wetting process provided in an embodiment of this disclosure. The method includes steps S101 to S105, wherein:

[0049] S101. When the electrolyte wetting process of the battery begins, a preset detection potential is applied to the battery, wherein the preset detection potential is the potential at which the battery generates the SEI film.

[0050] S102. Determine the initial current value of the battery at the start of the electrolyte wetting process.

[0051] S103. During the electrolyte wetting process, monitor the target change relationship between the current of the battery and time.

[0052] S104. Based on the relationship between the initial current value and the target change, construct an influence function of the electrolyte wetting process on the growth rate of the SEI film.

[0053] S105. Determine the target time when the influence function converges to a preset threshold, and set the target time as the wetting completion time corresponding to the electrolyte wetting process.

[0054] In practice, since the formation of the SEI film mainly occurs in the wetting region of the negative electrode, the wetting process of the electrolyte can be detected by applying a constant potential to the battery and measuring the current response signal during the electrolyte immersion process.

[0055] Here, the battery can be a lithium-ion battery.

[0056] During the first charge and discharge process of a liquid battery, the electrode material and the electrolyte react at the solid-liquid interface to form a passivation layer covering the surface of the electrode material. This passivation film is the solid electrolyte interface (SEI film).

[0057] Here, a constant preset detection potential is applied to the battery when the electrolyte wetting process begins.

[0058] It should be noted that the preset detection potential needs to be able to control the negative electrode voltage within the range of 1.2V to 200mV, that is, the range in which only the SEI film is generated.

[0059] In one possible implementation, the battery can use LiFePO4 as the positive electrode active material, carbon black as the conductive agent, polytetrafluoroethylene as the binder, and Al foil as the current collector. The positive electrode active material, conductive agent, binder, and solvent are mixed to obtain a positive electrode slurry. For the negative electrode, graphite is used as the active material, carboxymethyl cellulose as the binder, and copper foil as the current collector. The negative electrode active material, conductive agent, binder, and solvent are mixed to obtain a negative electrode slurry. After coating and rolling processes, the positive and negative electrode sheets are assembled with a separator to form a pouch battery.

[0060] Furthermore, in order to control the initial wetting process of the electrolyte, a polyethylene (PE) bag filled with electrolyte was added inside the battery.

[0061] Specifically, the electrolyte wetting process can be controlled to begin based on the following steps 1-2:

[0062] Step 1: Fill the polyethylene bag with electrolyte and seal the polyethylene bag into the battery under vacuum conditions;

[0063] Step 2: Decompress the polyethylene bag to release the electrolyte and begin the electrolyte wetting process.

[0064] In practice, when the electrolyte begins to soak in, i.e., t = 0h, the initial current value of the battery is determined when a constant preset detection potential is continuously applied to the battery, and the change of the battery current over time is monitored in real time.

[0065] Furthermore, after the electrolyte has been soaking for a period of time, i.e., t1 > 0h, a constant preset detection potential is continuously applied to the battery during this process, and the target change relationship of the battery current over time is monitored.

[0066] Here, since the growth rate of the SEI film is a function of the SEI film thickness after the battery is fully wetted, v SEI =f(d SEI During the electrolyte wetting process, the growth rate of the SEI film is a function of the SEI film thickness and the electrolyte wetting time, v SEI =f(d SEI The functional relationship between the effect of the electrolyte wetting process and the SEI film growth rate can be expressed as f(d). SEI ,f(t))-f(d SEI) express.

[0067] Among them, v SEI The growth rate of the SEI film is represented by d. SEI t represents the SEI film thickness; t represents the immersion time.

[0068] Therefore, the effect of the electrolyte wetting process on the SEI film growth rate can be represented by the It curve obtained by the chronoamperometry method. This corresponds to the fact that after the battery is fully wetted, the growth rate of the SEI film is a function of the SEI film thickness, and during the electrolyte wetting process, the growth rate of the SEI film is a function of the SEI film thickness and the electrolyte wetting time. By expressing the above functional relationship using the It curve, the influence function of the electrolyte wetting process on the SEI film growth rate can be obtained based on the relationship between the initial current value and the target change.

[0069] Specifically, the influence function can be expressed by the following formula:

[0070] △I=I(t0)-I(t1) t1＝浸润过程时间

[0071] Wherein, △I represents the influence function; I(t0) represents the initial current value of the battery at the start of the electrolyte wetting process; t0 represents the start time of the electrolyte wetting process; I(t1) t1＝浸润过程时间t1 represents the target change relationship between the current of the battery and time; t1 represents the time point in the electrolyte wetting process.

[0072] Furthermore, the target time corresponding to when the influence function converges to a preset threshold can be determined as the wetting completion time corresponding to the electrolyte wetting process.

[0073] It should be noted that the preset threshold affecting function convergence can be set according to actual needs, and no specific restrictions are imposed here.

[0074] This disclosure provides an analysis method for the battery wetting process. When the electrolyte wetting process begins, a preset detection potential is applied to the battery, where the preset detection potential is the potential for SEI film formation. The initial current value of the battery at the start of the electrolyte wetting process is determined. During the electrolyte wetting process, a target change relationship between the battery current and time is monitored. Based on the initial current value and the target change relationship, an influence function of the electrolyte wetting process on the growth rate of the SEI film is constructed. A target time is determined when the influence function converges to a preset threshold, and this target time is defined as the wetting completion time corresponding to the electrolyte wetting process. This method can intuitively reflect the exact time of battery wetting completion, revealing the wettability effect of the electrolyte, while maintaining the integrity of the battery's constituent materials and not introducing any excess substances.

[0075] See Figure 2 The diagram shows a flowchart of another method for analyzing a battery wetting process according to an embodiment of this disclosure. The method includes steps S201 to S204, wherein:

[0076] S201. Determine the stacking aperture corresponding to the electrodes of the battery.

[0077] S202. Collect the surface tension and contact angle between the electrolyte of the battery and the electrode.

[0078] S203. Determine the viscosity of the electrolyte.

[0079] S204. Based on the stacked pore size, the surface tension, the contact angle, the viscosity, and the wetting completion time, determine the wetting index value used to evaluate the wetting effect of the electrolyte wetting process.

[0080] In practice, the wetting effect of different electrolytes, separators, and positive and negative electrode materials is evaluated by using the accurate time of wetting completion, the stacking aperture of the battery electrodes, the surface tension and contact angle between the electrolyte and the electrodes, and the viscosity of the electrolyte.

[0081] Here, based on the stacked pore size, surface tension, contact angle, viscosity, and wetting completion time, wetting index values ​​for evaluating the wetting effect of the electrolyte wetting process are determined, which can be achieved through the following steps 1-3:

[0082] Step 1: Based on the stacked pore size, surface tension, contact angle, viscosity, and wetting completion time, construct a wetting thickness function that reflects the electrolyte wetting process.

[0083] Step 2: Determine the permeability corresponding to the electrolyte wetting process based on the wetting thickness function.

[0084] Step 3: Determine the permeability as the wetting index value.

[0085] Specifically, the wetting thickness function can be expressed by the following formula:

[0086]

[0087] Where h(t) represents the wetting thickness function; λ represents the stacked aperture corresponding to the battery electrode; σ represents the surface tension between the battery electrolyte and the electrode; θ represents the contact angle between the battery electrolyte and the electrode; μ represents the viscosity of the electrolyte; and t represents the wetting completion time.

[0088] Furthermore, the permeability corresponding to the electrolyte wetting process can be expressed by the following formula:

[0089] K = h(t) / t 0.

[0090] Where h(t) represents the wetting thickness function; t represents the wetting completion time; and K represents the permeability.

[0091] As one possible implementation method, during the analysis of the battery wetting process, different electrolytes, separators, and positive and negative electrode materials can be used to conduct comparative experiments, determine the corresponding wetting index values, and select the combination of electrolyte, separator, and positive and negative electrode materials with the largest wetting index value as the optimal solution for the battery wetting process.

[0092] This disclosure provides an analytical method for the battery wetting process, which involves determining the stacked pore size corresponding to the battery electrodes; collecting the surface tension and contact angle between the electrolyte and the electrodes; determining the viscosity of the electrolyte; and determining a wetting index value for evaluating the wetting effect of the electrolyte wetting process based on the stacked pore size, surface tension, contact angle, viscosity, and wetting completion time. This method can directly reflect the precise time of battery wetting completion, determine the wettability of the electrolyte, and maintain the integrity of the battery components without introducing any excess substances.

[0093] Those skilled in the art will understand that, in the above-described method of the specific implementation, the order in which each step is written does not imply a strict execution order and does not constitute any limitation on the implementation process. The specific execution order of each step should be determined by its function and possible internal logic.

[0094] Based on the same inventive concept, this disclosure also provides an analysis device for the battery immersion process corresponding to the analysis method for the battery immersion process. Since the principle of the device in this disclosure for solving the problem is similar to the analysis method for the battery immersion process described above in this disclosure, the implementation of the device can refer to the implementation of the method, and the repeated parts will not be described again.

[0095] Please see Figure 3 , Figure 3 This is a schematic diagram of an analytical apparatus for a battery wetting process provided in an embodiment of this disclosure. Figure 3 As shown in the figure, the battery immersion process analysis apparatus 300 provided in this embodiment includes:

[0096] The potential application module 310 is used to apply a preset detection potential to the battery when the electrolyte wetting process of the battery begins, wherein the preset detection potential is the potential at which the battery generates the SEI film.

[0097] The initial current determination module 320 is used to determine the initial current value of the battery at the start of the electrolyte wetting process.

[0098] The immersion process current monitoring module 330 is used to monitor the target change relationship of the battery current over time during the electrolyte immersion process.

[0099] The influence function determination module 340 is used to construct an influence function of the electrolyte wetting process affecting the growth rate of the SEI membrane based on the relationship between the initial current value and the target change.

[0100] The immersion time determination module 350 is used to determine the target time when the influence function converges to a preset threshold, and to determine the target time as the immersion completion time corresponding to the electrolyte immersion process.

[0101] The processing flow of each module in the device and the interaction flow between each module can be referred to the relevant descriptions in the above method embodiments, and will not be detailed here.

[0102] This disclosure provides an analytical apparatus for the battery wetting process. When the electrolyte wetting process begins, a preset detection potential is applied to the battery, where the preset detection potential is the potential for the formation of the SEI film. The apparatus determines the initial current value of the battery at the start of the electrolyte wetting process. During the electrolyte wetting process, a target change relationship between the battery current and time is monitored. Based on the initial current value and the target change relationship, an influence function of the electrolyte wetting process on the growth rate of the SEI film is constructed. A target time is determined when the influence function converges to a preset threshold, and this target time is defined as the wetting completion time corresponding to the electrolyte wetting process. This apparatus can directly reflect the exact time of battery wetting completion, revealing the wettability effect of the electrolyte, while maintaining the integrity of the battery's constituent materials and without introducing any excess substances.

[0103] Corresponding to Figure 1 and Figure 2 The present disclosure also provides an electronic device 400, such as a method for analyzing the battery immersion process. Figure 4 The diagram shown is a structural schematic of an electronic device 400 provided in an embodiment of this disclosure, including:

[0104] Processor 41, memory 42, and bus 43; memory 42 is used to store execution instructions, including main memory 421 and external memory 422; the main memory 421, also called internal memory, is used to temporarily store the computational data in processor 41, as well as the data exchanged with external memory 422 such as hard disk. Processor 41 exchanges data with external memory 422 through main memory 421. When the electronic device 400 is running, processor 41 and memory 42 communicate through bus 43, enabling processor 41 to execute... Figure 1 and Figure 2 The steps of the analytical method for the battery immersion process.

[0105] This disclosure also provides a computer-readable storage medium storing a computer program that, when executed by a processor, performs the steps of the battery immersion process analysis method described in the above-described method embodiments. The storage medium can be a volatile or non-volatile computer-readable storage medium.

[0106] This disclosure also provides a computer program product, which includes computer instructions. When the computer instructions are executed by a processor, they can perform the steps of the analysis method for the battery immersion process described in the above method embodiments. For details, please refer to the above method embodiments, which will not be repeated here.

[0107] The aforementioned computer program product can be implemented through hardware, software, or a combination thereof. In one optional embodiment, the computer program product is specifically embodied in a computer storage medium; in another optional embodiment, the computer program product is specifically embodied in a software product, such as a software development kit (SDK), etc.

[0108] Those skilled in the art will clearly understand that, for the sake of convenience and brevity, the specific working process of the device described above can be referred to the corresponding process in the foregoing method embodiments, and will not be repeated here. In the several embodiments provided in this disclosure, it should be understood that the disclosed device and method can be implemented in other ways. The device embodiments described above are merely illustrative. For example, the division of units is only a logical functional division, and in actual implementation, there may be other division methods. Furthermore, multiple units or components may be combined or integrated into another system, or some features may be ignored or not executed. Another point is that the displayed or discussed mutual coupling or direct coupling or communication connection may be through some communication interfaces; the indirect coupling or communication connection of devices or units may be electrical, mechanical, or other forms.

[0109] The units described as separate components may or may not be physically separate. The components shown as units may or may not be physical units; that is, they may be located in one place or distributed across multiple network units. Some or all of the units can be selected to achieve the purpose of this embodiment according to actual needs.

[0110] In addition, the functional units in the various embodiments of this disclosure can be integrated into one processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit.

[0111] If the aforementioned functions are implemented as software functional units and sold or used as independent products, they can be stored in a processor-executable, non-volatile, computer-readable storage medium. Based on this understanding, the technical solution of this disclosure, in essence, or the part that contributes to the prior art, or a portion of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute all or part of the steps of the methods described in the various embodiments of this disclosure. The aforementioned storage medium includes various media capable of storing program code, such as USB flash drives, portable hard drives, read-only memory (ROM), random access memory (RAM), magnetic disks, or optical disks.

[0112] Finally, it should be noted that the above-described embodiments are merely specific implementations of this disclosure, used to illustrate the technical solutions of this disclosure, and not to limit it. The protection scope of this disclosure is not limited thereto. Although this disclosure has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that any person skilled in the art can still modify or easily conceive of changes to the technical solutions described in the foregoing embodiments, or make equivalent substitutions for some of the technical features, within the scope of the technology disclosed in this disclosure. Such modifications, changes, or substitutions do not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of this disclosure, and should all be covered within the protection scope of this disclosure. Therefore, the protection scope of this disclosure should be determined by the protection scope of the claims.

Claims

1. An analytical method for the battery wetting process, characterized in that, include: Electrolyte is filled into a polyethylene bag, and the polyethylene bag is sealed into the battery under vacuum conditions; The polyethylene bag is decompressed to release the electrolyte and initiate the electrolyte wetting process. When the electrolyte wetting process of the battery begins, a preset detection potential is applied to the battery, wherein the preset detection potential is the potential at which the battery generates the SEI film; Determine the initial current value of the battery at the start of the electrolyte wetting process; During the electrolyte wetting process, the target change relationship of the battery current over time is monitored; Based on the relationship between the initial current value and the target change, the It curve obtained by the chronoamperometry method is used to express the effect of the electrolyte wetting process on the growth rate of the SEI film, and the effect function of the electrolyte wetting process on the growth rate of the SEI film is constructed. Determine the target time when the influence function converges to a preset threshold, and set the target time as the wetting completion time corresponding to the electrolyte wetting process; After determining the target time corresponding to when the influence function converges to a preset threshold, and defining the target time as the wetting completion time corresponding to the electrolyte wetting process, the method further includes: Determine the stacking aperture corresponding to the electrodes of the battery; The surface tension and contact angle between the electrolyte and the electrode of the battery are collected; Determine the viscosity of the electrolyte; Based on the stacked pore size, surface tension, contact angle, viscosity, and wetting completion time, wetting index values ​​are determined to evaluate the wetting effect of the electrolyte wetting process. The determination of wetting index values ​​for evaluating the wetting effect of the electrolyte wetting process based on the stacked pore size, surface tension, contact angle, viscosity, and wetting completion time specifically includes: Based on the stacked aperture, the surface tension, the contact angle, the viscosity, and the wetting completion time, a wetting thickness function reflecting the electrolyte wetting process is constructed. The permeability corresponding to the electrolyte wetting process is determined based on the wetting thickness function. The permeability is determined as the infiltration index value; The wetting thickness function can be expressed by the following formula: in, Represents the wetting thickness function; The stacked apertures corresponding to the electrodes of the battery; The surface tension representing the contact between the electrolyte and the electrodes in a battery; The contact angle represents the contact between the electrolyte and the electrode in a battery. The viscosity of the electrolyte is represented by t; the wetting time is represented by t. The permeability during the electrolyte wetting process can be expressed by the following formula: in, t represents the wetting thickness function; t represents the wetting completion time; K represents the permeability.

2. The method according to claim 1, characterized in that, The influence function is expressed by the following formula: △I=I(t0)-I(t1) t1=浸润过程时间 Wherein, △I represents the influence function; I(t0) represents the initial current value of the battery at the start of the electrolyte wetting process; t0 represents the start time of the electrolyte wetting process; I(t1) t1=浸润过程时间 t1 represents the target change relationship between the current of the battery and time; t1 represents the time point in the electrolyte wetting process.

3. An analytical apparatus for the battery immersion process, characterized in that, include: A potential application module is used to fill the electrolyte into a polyethylene bag and seal the polyethylene bag into the battery under vacuum conditions; The polyethylene bag is decompressed to release the electrolyte and begin the electrolyte wetting process; when the electrolyte wetting process of the battery begins, a preset detection potential is applied to the battery, wherein the preset detection potential is the potential at which the battery generates the SEI film; An initial current determination module is used to determine the initial current value of the battery at the start of the electrolyte wetting process; The immersion process current monitoring module is used to monitor the target change relationship of the battery current over time during the electrolyte immersion process. The influence function determination module is used to express the influence of the electrolyte wetting process on the SEI film growth rate based on the relationship between the initial current value and the target change using the It curve obtained by the chronoamperometry method, and to construct the influence function of the electrolyte wetting process on the growth rate of the SEI film. The immersion time determination module is used to determine the target time when the influence function converges to a preset threshold, and to determine the target time as the immersion completion time corresponding to the electrolyte immersion process. The device further includes a wetting index determination module, which is used for: Determine the stacking aperture corresponding to the electrodes of the battery; The surface tension and contact angle between the electrolyte and the electrode of the battery are collected; Determine the viscosity of the electrolyte; Based on the stacked pore size, surface tension, contact angle, viscosity, and wetting completion time, wetting index values ​​are determined to evaluate the wetting effect of the electrolyte wetting process. The determination of wetting index values ​​for evaluating the wetting effect of the electrolyte wetting process based on the stacked pore size, surface tension, contact angle, viscosity, and wetting completion time specifically includes: Based on the stacked aperture, the surface tension, the contact angle, the viscosity, and the wetting completion time, a wetting thickness function reflecting the electrolyte wetting process is constructed. The permeability corresponding to the electrolyte wetting process is determined based on the wetting thickness function. The permeability is determined as the infiltration index value; The wetting thickness function can be expressed by the following formula: in, Represents the wetting thickness function; The stacked apertures corresponding to the electrodes of the battery; The surface tension representing the contact between the electrolyte and the electrodes in a battery; The contact angle represents the contact between the electrolyte and the electrode in a battery. The viscosity of the electrolyte is represented by t; the wetting time is represented by t. The permeability during the electrolyte wetting process can be expressed by the following formula: in, t represents the wetting thickness function; t represents the wetting completion time; K represents the permeability.

4. An electronic device, characterized in that, include: The device includes a processor, a memory, and a bus. The memory stores machine-readable instructions executable by the processor. When the electronic device is running, the processor communicates with the memory via the bus. When the machine-readable instructions are executed by the processor, they perform the steps of the analysis method for the battery immersion process as described in any one of claims 1 to 2.

5. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores a computer program that, when executed by a processor, performs the steps of the analysis method for the battery immersion process as described in any one of claims 1 to 2.

6. A computer program product comprising computer instructions, characterized in that, When the computer instructions are executed by the processor, they implement the steps of the analysis method for the battery immersion process according to any one of claims 1 to 2.

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