Generation method, device and equipment of battery pole piece simulation network, medium and product

Abstract

The invention discloses a battery pole piece simulation network generation method and device, equipment, a medium and a product, and relates to the field of battery simulation, and the method comprises the steps: respectively generating a positive electrode porous medium three-dimensional image, a negative electrode porous medium three-dimensional image and a diaphragm porous medium three-dimensional image based on obtained physical property parameters of each layer of a battery; respectively segmenting and identifying pores in the positive porous medium three-dimensional image, the negative porous medium three-dimensional image and the diaphragm porous medium three-dimensional image to generate a positive pore network structure, a negative pore network structure and a diaphragm pore network structure; splicing the positive electrode pore network structure and the diaphragm pore network structure to obtain a positive electrode-diaphragm pore network structure; and splicing the positive electrode-diaphragm pore network structure and the negative electrode pore network structure to obtain the three-dimensional mesostructure of the battery pole piece. According to the method, computing resources can be reduced, the cost is low, and the overall process processing efficiency is high.

Description

Technical Field

[0001] The present application relates to the field of battery simulation, and in particular to a method, device, equipment, medium and product for generating a battery pole piece simulation network. Background Art

[0002] Lithium-ion batteries (LIBs) are the most widely used electrochemical energy storage devices in portable electronic devices and electric vehicles, thanks to their high energy density, low self-discharge rate, long service life, and rapid charging. Currently, research on LIBs focuses on maximizing performance and reducing costs, and battery wetting characteristics are a crucial component. Uneven electrolyte concentration can lead to safety issues such as battery overheating and explosion, so the quality and accuracy of electrolyte wetting directly impact battery performance and safety.

[0003] Lithium-ion battery infiltration simulations first require obtaining a three-dimensional image of the porous medium. Current methods for generating these images primarily include using micro-computed tomography (Micro-CT) and focused ion beam microscopy (FIB-SEM). However, because lithium-ion batteries are typically centimeter-sized, directly generating a three-dimensional image of the porous medium using these methods requires significant computational resources and memory, resulting in high costs and low overall process efficiency. Therefore, a method for generating a battery electrode simulation network that reduces computational resources is urgently needed. Summary of the Invention

[0004] In view of the above-mentioned defects or deficiencies in the relevant technology, the purpose of this application is to provide a method, device, equipment, medium and product for generating a battery pole piece simulation network, which can reduce computing resources, not only has lower costs but also has higher overall process processing efficiency.

[0005] To achieve the above objectives, this application provides the following solutions:

[0006] In a first aspect, the present application provides a method for generating a battery electrode simulation network, which comprises: based on the acquired physical parameters of each layer of the battery, respectively generating a three-dimensional image of the positive electrode porous medium, a three-dimensional image of the negative electrode porous medium and a three-dimensional image of the diaphragm porous medium; respectively segmenting and identifying the pores in the three-dimensional image of the positive electrode porous medium, the three-dimensional image of the negative electrode porous medium and the three-dimensional image of the diaphragm porous medium to generate a positive electrode pore network structure, a negative electrode pore network structure and a diaphragm pore network structure; splicing the positive electrode pore network structure with the diaphragm pore network structure to obtain a positive electrode-diaphragm pore network structure; splicing the positive electrode-diaphragm pore network structure with the negative electrode pore network structure to obtain a three-dimensional mesoscopic structure of the battery electrode.

[0007] Optionally, the above-mentioned generation of a three-dimensional image of the positive electrode porous medium, a three-dimensional image of the negative electrode porous medium and a three-dimensional image of the diaphragm porous medium based on the acquired physical parameters of each layer of the battery includes: using a random porous medium generation algorithm to process the physical parameters of each layer of the battery to obtain the three-dimensional image of the positive electrode porous medium, the three-dimensional image of the negative electrode porous medium and the three-dimensional image of the diaphragm porous medium; wherein the length and width of the three-dimensional image of the positive electrode porous medium, the three-dimensional image of the negative electrode porous medium and the three-dimensional image of the diaphragm porous medium are equal.

[0008] Optionally, the above-mentioned segmentation and identification of pores in the positive electrode porous medium three-dimensional image, the negative electrode porous medium three-dimensional image and the diaphragm porous medium three-dimensional image to generate the positive electrode pore network structure, the negative electrode pore network structure and the diaphragm pore network structure includes: using a watershed segmentation algorithm to segment the positive electrode porous medium three-dimensional image, the negative electrode porous medium three-dimensional image and the diaphragm porous medium three-dimensional image, and identifying the position of each pore and the connection mode between the pores in the segmented positive electrode porous medium three-dimensional image, the negative electrode porous medium three-dimensional image and the diaphragm porous medium three-dimensional image; based on the position of each pore and the connection mode between the pores in the positive electrode porous medium three-dimensional image, the negative electrode porous medium three-dimensional image and the diaphragm porous medium three-dimensional image, respectively generate the positive electrode pore network structure, the negative electrode pore network structure and the diaphragm pore network structure.

[0009] Optionally, the above-mentioned splicing of the positive electrode pore network structure and the diaphragm pore network structure to obtain a positive electrode-diaphragm pore network structure includes: respectively aligning the geometric center of the positive electrode pore network structure and the geometric center of the diaphragm pore network structure with the origin of the three-dimensional coordinate system, and translating the diaphragm pore network structure along a preset direction so that the bottom surface of the diaphragm pore network structure is aligned with the top surface of the positive electrode pore network structure; connecting the top surface gap of the positive electrode pore network structure and the bottom surface gap of the diaphragm pore network structure with the shortest distance to establish a new positive electrode-diaphragm throat; determining the diameter of the new positive electrode-diaphragm throat so that the diameter histogram distribution of the new positive electrode-diaphragm throat is consistent with the original throat diameter histogram distribution of the positive electrode pore network structure and / or the diaphragm pore network structure.

[0010] Optionally, the above-mentioned splicing of the positive electrode-diaphragm pore network structure and the negative electrode pore network structure to obtain a three-dimensional mesoscopic structure of the battery electrode includes: respectively aligning the geometric center of the positive electrode-diaphragm pore network structure and the geometric center of the negative electrode pore network structure with the origin of the three-dimensional coordinate system, and translating the negative electrode pore network structure along a preset direction so that the bottom surface of the negative electrode pore network structure is aligned with the top surface of the diaphragm pore network structure; connecting the bottom surface gap of the negative electrode pore network structure with the top surface gap of the diaphragm pore network structure with the shortest distance to establish a new negative electrode-diaphragm throat; determining the diameter of the new negative electrode-diaphragm throat so that the diameter histogram distribution of the new negative electrode-diaphragm throat is consistent with the original throat diameter histogram distribution of the negative electrode pore network structure and / or the diaphragm pore network structure.

[0011] Optionally, the diameter of the new positive electrode-diaphragm throat is smaller than or equal to the diameter of the pore connected to itself; the diameter of the new negative electrode-diaphragm throat is smaller than or equal to the diameter of the pore connected to itself.

[0012] In a second aspect, the present application provides a device for generating a battery pole piece simulation network, the device for generating a battery pole piece simulation network comprising:

[0013] A first generation module is used to generate a three-dimensional image of the positive electrode porous medium, a three-dimensional image of the negative electrode porous medium, and a three-dimensional image of the diaphragm porous medium based on the acquired physical property parameters of each layer of the battery;

[0014] a second generation module, configured to segment and identify pores in the three-dimensional image of the positive electrode porous medium, the three-dimensional image of the negative electrode porous medium, and the three-dimensional image of the diaphragm porous medium, respectively, and generate a positive electrode pore network structure, a negative electrode pore network structure, and a diaphragm pore network structure;

[0015] A first splicing module is used to splice the positive electrode pore network structure and the diaphragm pore network structure to obtain a positive electrode-diaphragm pore network structure;

[0016] The second splicing module is used to splice the positive electrode-diaphragm pore network structure with the negative electrode pore network structure to obtain a three-dimensional mesoscopic structure of the battery electrode.

[0017] In a third aspect, the present application provides a computer device comprising: a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the computer program to implement the steps of the method for generating a battery pole piece simulation network as described above.

[0018] In a fourth aspect, the present application provides a computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the steps of the method for generating a battery electrode simulation network as described above.

[0019] In a fifth aspect, the present application provides a computer program product, comprising a computer program, which, when executed by a processor, implements the steps of the method for generating a battery pole piece simulation network as described above.

[0020] According to the specific embodiments provided in this application, this application discloses the following technical effects:

[0021] The present application provides a method, device, equipment, medium and product for generating a battery pole piece simulation network, which generates a three-dimensional image of a positive electrode porous medium, a three-dimensional image of a negative electrode porous medium and a three-dimensional image of a diaphragm porous medium through the physical property parameters of each layer of the battery; generates a positive electrode pore network structure, a negative electrode pore network structure and a diaphragm pore network structure by segmenting and identifying pores in the three-dimensional image of the positive electrode porous medium, the three-dimensional image of the negative electrode porous medium and the three-dimensional image of the diaphragm porous medium; obtains a positive electrode-diaphragm pore network structure by splicing the positive electrode pore network structure with the diaphragm pore network structure; obtains a three-dimensional mesoscopic structure of a battery pole piece by splicing the positive electrode-diaphragm pore network structure with the negative electrode pore network structure; on the one hand, generates a three-dimensional image of a positive electrode porous medium, a three-dimensional image of a negative electrode porous medium and a three-dimensional image of a diaphragm porous medium through the physical property parameters of each layer of the battery The three-dimensional images of the medium and the three-dimensional images of the porous medium of the diaphragm do not require the use of expensive micro-electron microscope scanning methods, which not only reduces costs but also solves the problem of inaccurate three-dimensional images caused by problems such as limited sample size and imaging artifacts; on the other hand, by splicing the positive electrode pore network structure with the diaphragm pore network structure, the positive electrode-diaphragm pore network structure is obtained; by splicing the positive electrode-diaphragm pore network structure with the negative electrode pore network structure, the three-dimensional mesoscopic structure of the battery electrode is obtained, and a three-dimensional mesoscopic structure of the battery electrode consisting of three layers of positive electrode, negative electrode and diaphragm can be established, which not only provides strong support for numerical simulation research such as liquid injection and infiltration simulation at the battery electrode level; but also by adopting a splicing method, computing resources can be reduced and the demand for computing hardware can be reduced, and the processing efficiency of the overall process can be improved to a certain extent. BRIEF DESCRIPTION OF THE DRAWINGS

[0022] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the following briefly introduces the drawings required for use in the embodiments. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0023] Figure 1 This is an application environment diagram of a method for generating a battery electrode simulation network in one embodiment of the present application;

[0024] Figure 2 A schematic flow chart of a method for generating a battery electrode simulation network according to an embodiment of the present application;

[0025] Figure 3 A schematic diagram of a ball-stick structure provided in one embodiment of the present application;

[0026] Figure 4 A schematic diagram of the three-dimensional mesoscopic structure of a battery electrode provided in an embodiment of the present application;

[0027] Figure 5 A schematic diagram of the functional modules of a device for generating a battery electrode simulation network according to an embodiment of the present application;

[0028] Figure 6 A schematic diagram of the structure of a computer device provided in one embodiment of the present application. DETAILED DESCRIPTION

[0029] The following will be combined with the drawings in the embodiments of this application to clearly and completely describe the technical solutions in the embodiments of this application. Obviously, the embodiments described are only part of the embodiments of this application, not all of the embodiments. Based on the embodiments in this application, all other embodiments obtained by ordinary technicians in this field without making creative efforts are within the scope of protection of this application.

[0030] In order to make the above-mentioned purposes, features and advantages of the present application more obvious and easy to understand, the present application is further described in detail below with reference to the accompanying drawings and specific implementation methods.

[0031] The method for generating a battery electrode simulation network provided in the embodiment of the present application can be applied to Figure 1 In the application environment shown. Among them, the terminal 102 communicates with the server 104 through the network. The data storage system can store the data that the server 104 needs to process. The data storage system can be set up separately, integrated on the server 104, or placed on the cloud or other servers. The terminal 102 can send the physical properties of each level of the battery to the server 104. After the server 104 receives the physical properties of each level of the battery, for the physical properties of each level of the battery, the server 104 generates a three-dimensional image of the positive electrode porous medium, a three-dimensional image of the negative electrode porous medium, and a three-dimensional image of the diaphragm porous medium; respectively segment and identify the pores in the three-dimensional image of the positive electrode porous medium, the three-dimensional image of the negative electrode porous medium, and the three-dimensional image of the diaphragm porous medium, and generate a positive electrode pore network structure, a negative electrode pore network structure, and a diaphragm pore network structure; splice the positive electrode pore network structure with the diaphragm pore network structure to obtain a positive electrode-diaphragm pore network structure; splice the positive electrode-diaphragm pore network structure with the negative electrode pore network structure to obtain a three-dimensional mesoscopic structure of the battery electrode.

[0032] Terminal 102 may include, but is not limited to, various desktop computers, laptops, smartphones, tablet computers, IoT devices, and portable wearable devices. IoT devices may include smart speakers, smart TVs, smart air conditioners, and smart car devices. Portable wearable devices may include smart watches, smart bracelets, and head-mounted devices. Server 104 may be implemented as a standalone server or a server cluster consisting of multiple servers, or may be a cloud server.

[0033] In an exemplary embodiment, Figure 2 As shown, a method for generating a battery electrode simulation network is provided. The method is executed by a computer device, specifically a computer device such as a terminal or a server, or a terminal and a server. In the embodiment of the present application, the method is applied to Figure 1 The server 104 in the example is used as an example to illustrate the process, including the following steps S201 to S204.

[0034] Step S201 : Based on the acquired physical property parameters of each layer of the battery, a three-dimensional image of the positive electrode porous medium, a three-dimensional image of the negative electrode porous medium, and a three-dimensional image of the separator porous medium are generated respectively.

[0035] In the example embodiments, the electrodes involved in the embodiments of the present application are all lithium-ion batteries. Lithium-ion batteries are generally composed of three layers of different materials stacked together: a positive electrode, a negative electrode, and a separator. Therefore, the physical parameters of each layer of the battery include the physical parameters of the positive electrode, the physical parameters of the negative electrode, and the physical parameters of the separator; wherein the physical parameters of the positive electrode, the physical parameters of the negative electrode, and the physical parameters of the separator can all include three-dimensional dimensions, porosity, particle size distribution, and voxel size of a three-dimensional image. Among them, the three-dimensional dimensions are converted from the physical length divided by the voxel size of the image to the number of voxels in the image. The particle size distribution can be a number distribution measured by a laser particle size analyzer, and the sum of the probabilities corresponding to the particle sizes is 1. The porosity can be the target porosity when designing the electrode and separator, or it can be the porosity measured from the prepared electrode and separator.

[0036] It should be noted that the laser particle size analyzer measures the equivalent particle size of the measured particles. The spherical particles with this equivalent particle size as the diameter are closest to the scattered light energy distribution of the measured particles. Therefore, in the embodiments of the present application, when generating the three-dimensional image of the positive electrode porous medium, the three-dimensional image of the negative electrode porous medium, and the three-dimensional image of the diaphragm porous medium, the particle shape is regarded as spherical.

[0037] In a specific embodiment, the above step S201 may include: using a random porous medium generation algorithm to process the physical parameters of each layer of the battery to obtain a three-dimensional image of the positive electrode porous medium, a three-dimensional image of the negative electrode porous medium, and a three-dimensional image of the diaphragm porous medium.

[0038] It is understandable that the microstructure of the positive electrode, negative electrode, and separator of a lithium-ion battery is mainly related to the particle size distribution and porosity of the materials themselves. For example, in the embodiment of the present application, by inputting the three-dimensional dimensions, porosity, and particle size distribution of the positive electrode, negative electrode, and separator, respectively, an initial image with all values of 1 is generated; then, solid spherical particles are cyclically filled into the initial image until the target porosity or the porosity measured in the prepared electrode and separator is reached, and a three-dimensional image of the positive electrode porous medium, a three-dimensional image of the negative electrode porous medium, and a three-dimensional image of the separator porous medium are generated respectively.

[0039] It should be noted that in three-dimensional dimensions, the length and width of the three-dimensional image of the positive electrode porous medium, the three-dimensional image of the negative electrode porous medium, and the three-dimensional image of the diaphragm porous medium in the embodiment of the present application are equal, and the thickness only needs to conform to physical reality.

[0040] Step S202 , segmenting and identifying pores in the positive electrode porous medium three-dimensional image, the negative electrode porous medium three-dimensional image, and the separator porous medium three-dimensional image, respectively, to generate the positive electrode pore network structure, the negative electrode pore network structure, and the separator pore network structure.

[0041] In the exemplary embodiment, the positive electrode pore network structure, the negative electrode pore network structure, and the diaphragm pore network structure are simplified models of the positive electrode porous medium three-dimensional image, the negative electrode porous medium three-dimensional image, and the diaphragm porous medium three-dimensional image, respectively, and are used to approximately represent the microscopic pore network structure of the porous medium. When simplifying the positive electrode porous medium three-dimensional image, the negative electrode porous medium three-dimensional image, and the diaphragm porous medium three-dimensional image, the larger pores therein are extracted as spherical pores, and the small flow channels are extracted as cylindrical throats between the spherical pores. Figure 3 As shown in the figure, the positive electrode pore network structure, the negative electrode pore network structure and the diaphragm pore network structure are all composed of a "ball-stick" structure, where the "ball" represents the pores in the porous medium and the "stick" represents the throat between the pores (i.e., the part connecting different pores).

[0042] In a specific embodiment, the above-mentioned step S202 may include: using a watershed segmentation algorithm to segment the three-dimensional image of the positive electrode porous medium, the three-dimensional image of the negative electrode porous medium, and the three-dimensional image of the diaphragm porous medium, and identifying the positions of each pore and the connection mode between the pores in the segmented three-dimensional image of the positive electrode porous medium, the three-dimensional image of the negative electrode porous medium, and the three-dimensional image of the diaphragm porous medium; based on the positions of each pore and the connection mode between the pores in the three-dimensional image of the positive electrode porous medium, the three-dimensional image of the negative electrode porous medium, and the three-dimensional image of the diaphragm porous medium, respectively, generate the positive electrode pore network structure, the negative electrode pore network structure, and the diaphragm pore network structure.

[0043] It can be understood that the watershed segmentation (Subnetwork of the Oversegmented Watershed, SNOW) algorithm is used to segment, identify and extract the pore network structure in the three-dimensional image of the positive electrode porous medium, the three-dimensional image of the negative electrode porous medium and the three-dimensional image of the diaphragm porous medium, forming the positive electrode pore network structure, the negative electrode pore network structure and the diaphragm pore network structure composed of a "ball-and-stick" structure.

[0044] The watershed segmentation algorithm is used to simplify the complex pore network structure into a network model that is easier to analyze and simulate, which can reduce the subsequent calculation amount to a certain extent.

[0045] Step S203 , splicing the positive electrode pore network structure and the separator pore network structure to obtain a positive electrode-separator pore network structure.

[0046] In the exemplary embodiment, since the lengths and widths of the positive electrode porous medium three-dimensional image, the negative electrode porous medium three-dimensional image, and the diaphragm porous medium three-dimensional image are equal, during the stitching process, the positive electrode porous medium three-dimensional image, the negative electrode porous medium three-dimensional image, and the diaphragm porous medium three-dimensional image can be placed in the same three-dimensional coordinate system for stitching.

[0047] In a specific embodiment, the above step S203 may include the following steps S213 to S233, specifically:

[0048] Step S213, respectively aligning the geometric centers of the positive electrode pore network structure and the separator pore network structure with the origin of the three-dimensional coordinate system, and translating the separator pore network structure along a preset direction so that the bottom surface of the separator pore network structure is aligned with the top surface of the positive electrode pore network structure;

[0049] Step S223, connecting the top pores of the positive electrode pore network structure with the shortest distance to the bottom pores of the diaphragm pore network structure to establish a new positive electrode-diaphragm throat;

[0050] Step S233 , determining the new positive electrode-diaphragm throat diameter, so that the new positive electrode-diaphragm throat diameter histogram distribution is consistent with the original throat diameter histogram distribution of the positive electrode pore network structure and / or the diaphragm pore network structure.

[0051] Combined with the above embodiments and Figure 3 As can be understood, first, the geometric centers of the positive electrode pore network structure and the separator pore network structure are placed at the origin of the XYZ coordinate system, and the thickness direction of the positive electrode pore network structure or the separator pore network structure is defined as the Z direction. The separator pore network structure is translated along the Z direction until its bottom surface is aligned with the top surface of the positive electrode pore network structure.

[0052] Secondly, a new throat is connected between the top pores of the positive electrode pore network structure and the bottom pores of the diaphragm pore network structure according to the shortest distance principle, ensuring that the diameter of the new throat does not exceed the diameter of the connected pores. That is, the Euclidean distance between the sphere center of each pore of the top pore of the positive electrode pore network structure and the sphere center of the bottom pore of the diaphragm pore network structure is calculated, and the two pores with the shortest distance are connected to obtain a new positive electrode-diaphragm throat. The new positive electrode-diaphragm throat length (L) is calculated by formula (1) k ):

[0053] L k =min{L k，j , k∈Ω Ca , j∈Ω Sep} (1)

[0054] Among them, Ω Ca Represents the set of top pores in the positive electrode pore network structure, Ω Sep The collection of bottom-surface pores representing the pore network structure of the membrane.

[0055] Finally, the diameter of the new positive electrode-diaphragm throat is calculated so that the diameter size distribution of the new positive electrode-diaphragm throat is consistent with that of the original throat, maintaining the consistency of the "ball-stick" structure. That is, the diameters (d i ) and the smaller diameter of the two pores connected at both ends of the original throat (d i，a ) ratio (α i ), and then calculate the average value of this ratio by formula (3);

[0056]

[0057] Where n is the number of original throats in the positive electrode pore network structure and the diaphragm pore network structure.

[0058] The diameter of the new positive electrode-diaphragm throat (d k，new ).

[0059] d k，new =α·d k，a , k∈Ω Ca (4)

[0060] It should be noted that in the embodiments of the present application, the diameter of the new positive electrode-diaphragm throat is less than or equal to the diameter of the pores to which it is connected. This ensures that the diameter of the new positive electrode-diaphragm throat is not larger than the diameter of the pores to which it is connected, meeting the geometric requirements of the pore network structure. In addition, the diameter distribution of the new positive electrode-diaphragm throat can also be consistent with the original throat of the positive electrode-diaphragm pore network structure, so that the geometric characteristics of the "ball-and-stick" structure in the positive electrode-diaphragm pore network structure remain consistent.

[0061] Step S204 , splicing the positive electrode-diaphragm pore network structure and the negative electrode pore network structure to obtain a three-dimensional mesoscopic structure of the battery electrode.

[0062] In an example embodiment, Figure 4 The figure shows the three-dimensional mesoscopic structure of the battery pole piece obtained by splicing. The upper part of the three-dimensional mesoscopic structure of the battery pole piece is the positive electrode-diaphragm pore network structure, and the lower part is the negative electrode pore network structure.

[0063] In a specific embodiment, the above step S204 may include steps S214 to S234, specifically:

[0064] Step S214: aligning the geometric centers of the positive electrode-diaphragm pore network structure and the negative electrode pore network structure with the origin of the three-dimensional coordinate system, and translating the negative electrode pore network structure along a preset direction so that the bottom surface of the negative electrode pore network structure is aligned with the top surface of the diaphragm pore network structure;

[0065] Step S224, connecting the bottom pores of the negative electrode pore network structure with the shortest distance to the top pores of the diaphragm pore network structure to establish a new negative electrode-diaphragm throat;

[0066] Step S234 , determining the new diameter of the negative electrode-diaphragm throat, so that the diameter histogram distribution of the new negative electrode-diaphragm throat is consistent with the original throat diameter histogram distribution of the negative electrode pore network structure and / or the diaphragm pore network structure.

[0067] It should be noted that the implementation of steps S214 to S234 is consistent with the implementation of steps S213 to S233. For details, please refer to the above exemplary embodiment, and this exemplary embodiment will not be repeated. In the embodiment of the present application, the diameter of the new negative electrode-diaphragm throat is less than or equal to the diameter of the pore connecting it.

[0068] The embodiment of the present application implements the above steps S201 to S204, and generates a three-dimensional image of the positive electrode porous medium, a three-dimensional image of the negative electrode porous medium, and a three-dimensional image of the diaphragm porous medium through the physical parameters of each layer of the battery; by segmenting and identifying the pores in the three-dimensional image of the positive electrode porous medium, the three-dimensional image of the negative electrode porous medium, and the three-dimensional image of the diaphragm porous medium, the positive electrode pore network structure, the negative electrode pore network structure, and the diaphragm pore network structure are generated; by splicing the positive electrode pore network structure with the diaphragm pore network structure, the positive electrode-diaphragm pore network structure is obtained; by splicing the positive electrode-diaphragm pore network structure with the negative electrode pore network structure, the three-dimensional mesoscopic structure of the battery electrode is obtained; on the one hand, the three-dimensional image of the positive electrode porous medium, the three-dimensional image of the negative electrode porous medium are generated through the physical parameters of each layer of the battery The three-dimensional image of the porous medium of the diaphragm can be obtained without the use of expensive micro-electron microscope scanning methods, which not only reduces costs but also solves the problem of inaccurate three-dimensional images caused by problems such as limited sample size and imaging artifacts. On the other hand, the positive electrode pore network structure is spliced with the diaphragm pore network structure to obtain the positive electrode-diaphragm pore network structure; the positive electrode-diaphragm pore network structure is spliced with the negative electrode pore network structure to obtain the three-dimensional mesoscopic structure of the battery pole piece, which can be established with a three-layer stack of positive electrode, negative electrode and diaphragm. It not only provides strong support for numerical simulation research such as liquid injection and infiltration simulation at the battery pole piece level, but also reduces computing resources and reduces the demand for computing hardware by adopting the splicing method, and can improve the processing efficiency of the overall process to a certain extent.

[0069] Based on the same inventive concept, embodiments of the present application also provide a device for generating a battery pole piece simulation network for implementing the aforementioned method for generating a battery pole piece simulation network. The solution provided by this device is similar to the solution described in the aforementioned method. Therefore, the specific limitations of one or more embodiments of the device for generating a battery pole piece simulation network provided below can be found in the limitations of the method for generating a battery pole piece simulation network described above and will not be further elaborated here.

[0070] In an exemplary embodiment, Figure 5 As shown, a device for generating a battery pole piece simulation network is provided. The device 500 for generating a battery pole piece simulation network includes: a first generating module 501, a second generating module 502, a first splicing module 503 and a second splicing module 504; wherein,

[0071] The first generation module 501 is used to generate a three-dimensional image of the positive electrode porous medium, a three-dimensional image of the negative electrode porous medium, and a three-dimensional image of the separator porous medium based on the acquired physical property parameters of each layer of the battery;

[0072] The second generation module 502 is used to segment and identify pores in the three-dimensional image of the positive electrode porous medium, the three-dimensional image of the negative electrode porous medium, and the three-dimensional image of the diaphragm porous medium, and generate the positive electrode pore network structure, the negative electrode pore network structure, and the diaphragm pore network structure;

[0073] The first splicing module 503 is used to splice the positive electrode pore network structure and the diaphragm pore network structure to obtain a positive electrode-diaphragm pore network structure;

[0074] The second splicing module 504 is used to splice the positive electrode-diaphragm pore network structure with the negative electrode pore network structure to obtain a three-dimensional mesoscopic structure of the battery electrode.

[0075] As an optional embodiment, the above-mentioned first generation module 501 is specifically used to: use a random porous medium generation algorithm to process the physical parameters of each layer of the battery to obtain a three-dimensional image of the positive electrode porous medium, a three-dimensional image of the negative electrode porous medium, and a three-dimensional image of the diaphragm porous medium; wherein the length and width of the three-dimensional image of the positive electrode porous medium, the three-dimensional image of the negative electrode porous medium, and the three-dimensional image of the diaphragm porous medium are equal.

[0076] As an optional embodiment, the above-mentioned second generation module 502 is specifically used to: use a watershed segmentation algorithm to segment the three-dimensional image of the positive electrode porous medium, the three-dimensional image of the negative electrode porous medium and the three-dimensional image of the diaphragm porous medium, and identify the positions of each pore and the connection mode between the pores in the segmented three-dimensional image of the positive electrode porous medium, the three-dimensional image of the negative electrode porous medium and the three-dimensional image of the diaphragm porous medium; based on the positions of each pore and the connection mode between the pores in the three-dimensional image of the positive electrode porous medium, the three-dimensional image of the negative electrode porous medium and the three-dimensional image of the diaphragm porous medium, respectively generate the positive electrode pore network structure, the negative electrode pore network structure and the diaphragm pore network structure.

[0077] As an optional embodiment, the above-mentioned first splicing module 503 is specifically used to: respectively coincide the geometric center of the positive electrode pore network structure and the geometric center of the diaphragm pore network structure with the origin of the three-dimensional coordinate system, and translate the diaphragm pore network structure along a preset direction so that the bottom surface of the diaphragm pore network structure is aligned with the top surface of the positive electrode pore network structure; connect the top surface gap of the positive electrode pore network structure with the bottom surface gap of the diaphragm pore network structure with the shortest distance to establish a new positive electrode-diaphragm throat; determine the diameter of the new positive electrode-diaphragm throat so that the diameter histogram distribution of the new positive electrode-diaphragm throat is consistent with the original throat diameter histogram distribution of the positive electrode pore network structure and / or the diaphragm pore network structure.

[0078] As an optional embodiment, the above-mentioned second splicing module 504 is specifically used to: respectively coincide the geometric center of the positive electrode-diaphragm pore network structure and the geometric center of the negative electrode pore network structure with the origin of the three-dimensional coordinate system, and translate the negative electrode pore network structure along the preset direction so that the bottom surface of the negative electrode pore network structure is aligned with the top surface of the diaphragm pore network structure; connect the bottom pore gap of the negative electrode pore network structure and the top pore gap of the diaphragm pore network structure with the shortest distance to establish a new negative electrode-diaphragm throat; determine the diameter of the new negative electrode-diaphragm throat so that the diameter histogram distribution of the new negative electrode-diaphragm throat is consistent with the original throat diameter histogram distribution of the negative electrode pore network structure and / or the diaphragm pore network structure.

[0079] As an optional embodiment, the diameter of the new positive electrode-diaphragm throat is smaller than or equal to the diameter of the pore connected to itself; the diameter of the new negative electrode-diaphragm throat is smaller than or equal to the diameter of the pore connected to itself.

[0080] Among them, by implementing this embodiment, a three-dimensional image of the positive electrode porous medium, a three-dimensional image of the negative electrode porous medium and a three-dimensional image of the diaphragm porous medium are generated through the physical properties of each layer of the battery, without the need to use expensive micro-electron microscope scanning methods, which not only reduces costs but also solves the problem of inaccurate three-dimensional images caused by problems such as limited sample size and imaging artifacts; by splicing the positive electrode pore network structure with the diaphragm pore network structure, a positive electrode-diaphragm pore network structure is obtained; by splicing the positive electrode-diaphragm pore network structure with the negative electrode pore network structure, a three-dimensional mesoscopic structure of the battery electrode is obtained, and a three-dimensional mesoscopic structure of the battery electrode including three layers of positive electrode, negative electrode and diaphragm can be established, which not only provides strong support for numerical simulation research such as injection and infiltration simulation of the battery electrode level; but also by adopting a splicing method, computing resources can be reduced, the demand for computing hardware can be reduced, and the processing efficiency of the overall process can be improved to a certain extent.

[0081] In an exemplary embodiment, a computer device is provided. The computer device may be a server or a terminal. The internal structure diagram thereof may be as follows: Figure 6As shown. The computer device includes a processor, a memory, an input / output interface (Input / Output, abbreviated as I / O) and a communication interface. The processor, memory and input / output interface are connected through a system bus, and the communication interface is connected to the system bus through the input / output interface. The processor of the computer device is used to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system, a computer program and a database. The internal memory provides an environment for the operation of the operating system and computer program in the non-volatile storage medium. The database of the computer device is used to store the generation data of the battery pole piece simulation network. The input / output interface of the computer device is used to exchange information between the processor and an external device. The communication interface of the computer device is used to communicate with an external terminal through a network connection. When the computer program is executed by the processor, a method for generating a battery pole piece simulation network is implemented.

[0082] Those skilled in the art will understand that Figure 6 The structure shown in the figure is only a block diagram of a part of the structure related to the solution of the present application, and does not constitute a limitation on the computer device to which the solution of the present application is applied. The specific computer device may include more or fewer components than shown in the figure, or combine certain components, or have a different component arrangement.

[0083] In an exemplary embodiment, a computer device is further provided, including a memory and a processor. The memory stores a computer program, and the processor implements the steps in the above method embodiments when executing the computer program.

[0084] In an exemplary embodiment, a computer-readable storage medium is provided, storing a computer program. When the computer program is executed by a processor, the steps in the above-mentioned method embodiments are implemented.

[0085] In an exemplary embodiment, a computer program product is provided, including a computer program. When the computer program is executed by a processor, the steps in the above method embodiments are implemented.

[0086] It should be noted that the user information (including but not limited to user device information, user personal information, etc.) and data (including but not limited to data used for analysis, stored data, displayed data, etc.) involved in this application are all information and data authorized by the user or fully authorized by all parties, and the collection, use and processing of relevant data must comply with relevant regulations.

[0087] Those skilled in the art will understand that all or part of the processes in the above-mentioned embodiment methods can be implemented by instructing the relevant hardware through a computer program, and the computer program can be stored in a non-volatile computer-readable storage medium. When the computer program is executed, it can include the processes of the embodiments of the above-mentioned methods. Among them, any reference to memory, database or other media used in the embodiments provided in this application may include at least one of non-volatile and volatile memory. Non-volatile memory may include read-only memory (ROM), magnetic tape, floppy disk, flash memory, optical memory, high-density embedded non-volatile memory, resistive random access memory (ReRAM), magnetic random access memory (MRAM), ferroelectric random access memory (FRAM), phase change memory (PCM), graphene memory, etc. Volatile memory may include random access memory (RAM) or external cache memory, etc. By way of illustration and not limitation, RAM may be in various forms, such as static random access memory (SRAM) or dynamic random access memory (DRAM).

[0088] The databases involved in the various embodiments provided herein may include at least one of a relational database and a non-relational database. Non-relational databases may include, but are not limited to, distributed databases based on blockchains. The processors involved in the various embodiments provided herein may include, but are not limited to, general-purpose processors, central processing units, graphics processing units, digital signal processors, programmable logic units, data processing logic units based on quantum computing, and the like.

[0089] The technical features of the above embodiments can be combined arbitrarily. To make the description concise, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

[0090] This document uses specific examples to illustrate the principles and implementation methods of this application. The description of the above examples is only intended to help understand the method and core concept of this application. At the same time, for those skilled in the art, based on the concept of this application, there may be changes in the specific implementation methods and application scope. In summary, the content of this specification should not be understood as limiting this application.

Claims

1. A method for generating a battery electrode simulation network, characterized in that: The method for generating the battery electrode simulation network includes: Based on the obtained physical properties of each layer of the battery, a three-dimensional image of the positive electrode porous medium, a three-dimensional image of the negative electrode porous medium, and a three-dimensional image of the separator porous medium are generated respectively; Segmenting and identifying pores in the three-dimensional image of the positive electrode porous medium, the three-dimensional image of the negative electrode porous medium, and the three-dimensional image of the diaphragm porous medium, respectively, to generate a positive electrode pore network structure, a negative electrode pore network structure, and a diaphragm pore network structure; splicing the positive electrode pore network structure and the separator pore network structure to obtain a positive electrode-separator pore network structure; The positive electrode-diaphragm pore network structure and the negative electrode pore network structure are spliced together to obtain a three-dimensional mesoscopic structure of a battery electrode.

2. The method for generating a battery electrode simulation network according to claim 1, characterized in that: The method of generating a three-dimensional image of the positive electrode porous medium, a three-dimensional image of the negative electrode porous medium, and a three-dimensional image of the diaphragm porous medium based on the obtained physical property parameters of each layer of the battery includes: A random porous medium generation algorithm is used to process the physical parameters of each layer of the battery to obtain the three-dimensional image of the positive electrode porous medium, the three-dimensional image of the negative electrode porous medium, and the three-dimensional image of the diaphragm porous medium; wherein the length and width of the three-dimensional image of the positive electrode porous medium, the three-dimensional image of the negative electrode porous medium, and the three-dimensional image of the diaphragm porous medium are equal.

3. The method for generating a battery electrode simulation network according to claim 1, characterized in that: The step of segmenting and identifying the pores in the three-dimensional image of the positive electrode porous medium, the three-dimensional image of the negative electrode porous medium, and the three-dimensional image of the diaphragm porous medium to generate the positive electrode pore network structure, the negative electrode pore network structure, and the diaphragm pore network structure includes: Using a watershed segmentation algorithm to segment the three-dimensional image of the positive electrode porous medium, the three-dimensional image of the negative electrode porous medium, and the three-dimensional image of the diaphragm porous medium, and identifying the position of each pore and the connection mode between the pores in the segmented three-dimensional image of the positive electrode porous medium, the three-dimensional image of the negative electrode porous medium, and the three-dimensional image of the diaphragm porous medium; Based on the positions of the pores and the connection mode between the pores in the three-dimensional image of the positive electrode porous medium, the three-dimensional image of the negative electrode porous medium and the three-dimensional image of the diaphragm porous medium, the positive electrode pore network structure, the negative electrode pore network structure and the diaphragm pore network structure are generated respectively.

4. The method for generating a battery electrode simulation network according to claim 1, characterized in that: The step of splicing the positive electrode pore network structure and the diaphragm pore network structure to obtain a positive electrode-diaphragm pore network structure comprises: The geometric centers of the positive electrode pore network structure and the diaphragm pore network structure are respectively aligned with the origin of the three-dimensional coordinate system, and the diaphragm pore network structure is translated along a preset direction so that the bottom surface of the diaphragm pore network structure is aligned with the top surface of the positive electrode pore network structure; Connecting the top pores of the positive electrode pore network structure with the bottom pores of the diaphragm pore network structure with the shortest distance to establish a new positive electrode-diaphragm throat; The diameter of the new positive electrode-diaphragm throat is determined so that the diameter histogram distribution of the new positive electrode-diaphragm throat is consistent with the original throat diameter histogram distribution of the positive electrode pore network structure and / or the diaphragm pore network structure.

5. The method for generating a battery electrode simulation network according to claim 4, characterized in that: The method of splicing the positive electrode-diaphragm pore network structure with the negative electrode pore network structure to obtain a three-dimensional mesoscopic structure of a battery electrode comprises: The geometric centers of the positive electrode-diaphragm pore network structure and the negative electrode pore network structure are respectively aligned with the origin of the three-dimensional coordinate system, and the negative electrode pore network structure is translated along a preset direction so that the bottom surface of the negative electrode pore network structure is aligned with the top surface of the diaphragm pore network structure; Connecting the bottom pores of the negative electrode pore network structure with the top pores of the diaphragm pore network structure with the shortest distance to establish a new negative electrode-diaphragm throat; The diameter of the new negative electrode-diaphragm throat is determined so that the diameter histogram distribution of the new negative electrode-diaphragm throat is consistent with the original throat diameter histogram distribution of the negative electrode pore network structure and / or the diaphragm pore network structure.

6. The method for generating a battery electrode simulation network according to claim 5, characterized in that: The diameter of the new positive electrode-diaphragm throat is smaller than or equal to the diameter of the pore connected to itself; the diameter of the new negative electrode-diaphragm throat is smaller than or equal to the diameter of the pore connected to itself.

7. A device for generating a battery electrode simulation network, characterized in that: The device for generating the battery electrode simulation network includes: A first generation module is used to generate a three-dimensional image of the positive electrode porous medium, a three-dimensional image of the negative electrode porous medium, and a three-dimensional image of the diaphragm porous medium based on the acquired physical property parameters of each layer of the battery; a second generation module, configured to segment and identify pores in the three-dimensional image of the positive electrode porous medium, the three-dimensional image of the negative electrode porous medium, and the three-dimensional image of the diaphragm porous medium, respectively, and generate a positive electrode pore network structure, a negative electrode pore network structure, and a diaphragm pore network structure; A first splicing module is used to splice the positive electrode pore network structure and the diaphragm pore network structure to obtain a positive electrode-diaphragm pore network structure; The second splicing module is used to splice the positive electrode-diaphragm pore network structure with the negative electrode pore network structure to obtain a three-dimensional mesoscopic structure of the battery electrode.

8. A computer device comprising: A memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the computer program to implement the steps of the method for generating a battery pole piece simulation network according to any one of claims 1 to 6.

9. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the steps of the method for generating a battery pole piece simulation network according to any one of claims 1 to 6 are implemented.

10. A computer program product comprising a computer program, characterized in that When the computer program is executed by a processor, the steps of the method for generating a battery pole piece simulation network according to any one of claims 1 to 6 are implemented.

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