Dendritic crystal growth morphology determination method and device, computer equipment and storage medium

Abstract

The invention relates to a dendritic crystal growth morphology determination method and device, computer equipment and a storage medium. The method comprises the following steps: determining initial potential distribution according to target physical property parameters of a battery, and first dendritic crystal growth morphology distribution, first lithium ion concentration distribution and first potential distribution on a geometric solution domain of the battery at the current moment, and determining the initial potential distribution according to the initial potential distribution, the first dendritic crystal growth morphology distribution and the first lithium ion concentration distribution, and determining reaction current corresponding to the initial potential distribution, and determining second dendritic crystal growth morphology distribution on the geometric solution domain at the next moment according to the reaction current and the target physical property parameters. By adopting the method, the dendritic crystal growth morphology of the battery can be determined.

Description

Technical Field

[0001] The present application relates to the field of battery technology, and in particular to a method, device, computer equipment and storage medium for determining dendrite growth morphology. Background Art

[0002] During the charging or discharging process of the battery, irregular dendrites such as tree branches and needles will be generated. When the dendrites grow to a certain shape, it will cause a short circuit inside the battery. The short circuit inside the battery will cause the battery to be scrapped at the least, and even threaten personal safety in severe cases.

[0003] Therefore, determining the dendrite growth morphology is an important task in the field of batteries. Therefore, how to determine the dendrite growth morphology of batteries is a key research content for those skilled in the art. Summary of the invention

[0004] Based on this, it is necessary to provide a dendrite growth morphology determination method, device, computer equipment and storage medium that can determine the dendrite growth morphology of a battery in response to the above technical problems.

[0005] In a first aspect, the present application provides a method for determining dendrite growth morphology, comprising:

[0006] Determine an initial potential distribution according to target physical property parameters of the battery, a first dendrite growth morphology distribution, a first lithium ion concentration distribution, and a first potential distribution on a geometric solution domain of the battery at a current moment;

[0007] Determining a reaction current corresponding to the initial potential distribution according to the initial potential distribution, the first dendrite growth morphology distribution, and the first lithium ion concentration distribution;

[0008] According to the reaction current and target physical property parameters, the second dendrite growth morphology distribution in the geometric solution domain at the next moment is determined.

[0009] In the above-mentioned dendrite growth morphology determination method, since the initial potential distribution can be determined based on the target physical property parameters of the battery, the first dendrite growth morphology distribution on the geometric solution domain of the battery at the current moment, the first lithium ion concentration distribution and the first potential distribution, and the reaction current corresponding to the initial potential distribution is determined based on the initial potential distribution, the first dendrite growth morphology distribution and the first lithium ion concentration distribution, and then the second dendrite growth morphology distribution on the geometric solution domain at the next moment is determined based on the reaction current and the target physical property parameters. Determining the second dendrite growth morphology distribution is to determine the dendrite growth morphology, so this embodiment can determine the dendrite growth morphology of the battery. Moreover, since the second dendrite growth morphology distribution can be obtained based on the reaction current, it is beneficial to determine the dendrite growth morphology with the current as the boundary condition, which is closer to the actual operating conditions during the use of the battery and has higher accuracy.

[0010] In one embodiment, determining the second dendrite growth morphology distribution on the geometric solution domain at the next moment according to the reaction current and the target physical property parameters includes:

[0011] Determining the second electric potential distribution on the geometric solution domain at the next moment according to the reaction current and the preset current; the reaction current corresponding to the second electric potential distribution is consistent with the preset current;

[0012] Determining the second dendrite growth morphology distribution on the geometric solution domain at the next moment according to the target physical property parameters, the first dendrite growth morphology distribution, the first lithium ion concentration distribution, and the second electric potential distribution.

[0013] In the above embodiment, since the reaction current corresponding to the second electric potential distribution is consistent with the preset current, therefore, according to the reaction current and the preset current, the second electric potential distribution on the geometric solution domain at the next moment is determined, and according to the target physical property parameters, the first lithium ion concentration distribution, and the second electric potential distribution, the second dendrite growth morphology distribution on the geometric solution domain at the next moment under the constant current condition can be determined, which is more in line with the actual working condition during the battery use process and has higher accuracy.

[0014] In one embodiment, determining the second electric potential distribution on the geometric solution domain at the next moment according to the reaction current and the preset current includes:

[0015] If the reaction current is consistent with the preset current, then taking the initial electric potential distribution as the second electric potential distribution.

[0016] In the above embodiment, since if the reaction current is consistent with the preset current, then taking the initial electric potential distribution as the second electric potential distribution, therefore, it can be ensured that the reaction current corresponding to the second electric potential distribution is consistent with the preset current to determine the second dendrite growth morphology distribution under the constant current condition.

[0017] In one embodiment, the method further includes:

[0018] If the reaction current is inconsistent with the preset current, then adjusting the initial electric potential distribution to obtain a new electric potential distribution;

[0019] Determining the reaction current corresponding to the new electric potential distribution according to the new electric potential distribution, the first dendrite growth morphology distribution, and the first lithium ion concentration distribution;

[0020] Taking the new electric potential distribution corresponding to the reaction current consistent with the preset current as the second electric potential distribution.

[0021] In the above embodiments, when the reaction current corresponding to the initial potential distribution is greater than the preset current, the upper limit value in the initial potential distribution is decreased to obtain a new potential distribution; when the reaction current corresponding to the initial potential distribution is less than the preset current, the upper limit value in the initial potential distribution is increased to obtain a new potential distribution. Therefore, after adjusting the initial potential distribution, the reaction current corresponding to the second potential distribution will be consistent with the preset current.

[0022] In one of the embodiments, adjusting the initial potential distribution to obtain a new potential distribution includes:

[0023] If the reaction current corresponding to the initial potential distribution is greater than the preset current, then decrease the upper limit value in the initial potential distribution to obtain a new potential distribution;

[0024] If the reaction current corresponding to the initial potential distribution is less than the preset current, then increase the upper limit value in the initial potential distribution to obtain a new potential distribution.

[0025] In the above embodiments, when the reaction current corresponding to the initial potential distribution is greater than the preset current, the upper limit value in the initial potential distribution is decreased to obtain a new potential distribution; when the reaction current corresponding to the initial potential distribution is less than the preset current, the upper limit value in the initial potential distribution is increased to obtain a new potential distribution. Therefore, after adjusting the initial potential distribution, the reaction current corresponding to the second potential distribution will be consistent with the preset current.

[0026] In one of the embodiments, the method further includes:

[0027] Determine the second lithium-ion concentration distribution on the geometric solution domain at the next moment according to the target physical property parameters, the first lithium-ion concentration distribution, the second potential distribution, and the second dendrite growth morphology distribution.

[0028] In the above embodiments, since the second lithium-ion concentration distribution on the geometric solution domain at the next moment is determined according to the target physical property parameters, the first lithium-ion concentration distribution, the second potential distribution, and the second dendrite growth morphology distribution, therefore, the accuracy of the lithium-ion concentration distribution at each moment is also improved, thereby improving the accuracy of the determined dendrite growth morphology.

[0029] In one of the embodiments, the method further includes:

[0030] Determine the change of the dendrite growth morphology distribution of the battery over time according to the dendrite growth morphology distributions on the geometric solution domain at each moment.

[0031] In the above embodiments, since the change of the dendrite growth morphology distribution of the battery over time is determined according to the dendrite growth morphology distributions on the geometric solution domain at each moment, therefore, the reliability and efficiency of the determination of the dendrite growth morphology are improved.

[0032] In one embodiment, the method further includes:

[0033] Obtaining a cross-sectional image of the electrode structure of the battery;

[0034] Determining the cross-sectional contour between the electrode region and the electrolyte region in the cross-sectional image;

[0035] Determining a geometric solution domain according to the cross-sectional contour.

[0036] In the above embodiment, since a cross-sectional image of the electrode structure of the battery is obtained and the cross-sectional contour between the electrode region and the electrolyte region in the cross-sectional image is determined, this embodiment can reflect the true structure of the electrode sheet and the electrolyte interface in the battery. Furthermore, according to the cross-sectional contour, a geometric solution domain that conforms to the actual situation of the battery can be determined more accurately.

[0037] In a second aspect, the present application further provides a dendrite growth morphology determination device, including:

[0038] A first determination module, configured to determine an initial potential distribution according to the target physical property parameters of the battery, the first dendrite growth morphology distribution, the first lithium ion concentration distribution, and the first potential distribution on the geometric solution domain of the battery at the current moment;

[0039] A second determination module, configured to determine the reaction current corresponding to the initial potential distribution according to the initial potential distribution, the first dendrite growth morphology distribution, and the first lithium ion concentration distribution;

[0040] A third determination module, configured to determine the second dendrite growth morphology distribution on the geometric solution domain at the next moment according to the reaction current and the target physical property parameters.

[0041] In a third aspect, the present application further provides a computer device, including a memory and a processor, where the memory stores a computer program, and when the processor executes the computer program, the steps of any of the above methods are implemented.

[0042] In a fourth aspect, the present application further provides a computer-readable storage medium, on which a computer program is stored, and when the computer program is executed by a processor, the steps of any of the above methods are implemented.

[0043] In a fifth aspect, the present application further provides a computer program product, including a computer program, and when the computer program is executed by a processor, the steps of any of the above methods are implemented.

[0044] The above description is only an overview of the technical solution of this application. In order to understand the technical means of this application more clearly, it can be implemented according to the content of the specification. And in order to make the above and other purposes, features and advantages of this application more obvious and understandable, the following specific embodiments of this application are specifically given. Description of the Drawings

[0045] In order to more clearly illustrate the technical solutions in the embodiments of this application or in related technologies, the following will briefly introduce the drawings required for use in the description of the embodiments or related technologies. Obviously, the drawings in the following description are only some embodiments of this application. For those of ordinary skill in the art, without creative efforts, other drawings can be obtained based on these drawings.

[0046] Figure 1 It is an application environment diagram of the method for determining dendritic growth morphology in the embodiment of this application;

[0047] Figure 2 It is a schematic flow chart of the method for determining dendritic growth morphology in the embodiment of this application;

[0048] Figure 3 It is a schematic flow chart of a method for determining the distribution of the second dendritic growth morphology in the embodiment of this application;

[0049] Figure 4 It is a schematic flow chart of a method for determining the second potential distribution in the embodiment of this application;

[0050] Figure 5 It is a schematic flow chart of a method for determining a new potential distribution in the embodiment of this application;

[0051] Figure 6 It is a schematic flow chart of a method for determining a geometric solution domain in the embodiment of this application;

[0052] Figure 7 It is a schematic diagram of a cross-sectional image in the embodiment of this application;

[0053] Figure 8 It is a schematic diagram of a geometric solution domain in the embodiment of this application;

[0054] Figure 9 It is a simulation flow chart of a method for determining dendritic growth morphology in the embodiment of this application;

[0055] Figure 10 It is an implementation flow chart of a method for determining dendritic growth morphology in the embodiment of this application;

[0056] Figure 11 It is a process schematic diagram of a method for determining dendritic growth morphology in the embodiment of this application;

[0057] Figure 12 One of the structural block diagrams of the dendrite growth morphology determination device in the embodiments of the present application;

[0058] Figure 13 The structural block diagram of a third determination module in the embodiments of the present application;

[0059] Figure 14 Another structural block diagram of the dendrite growth morphology determination device in the embodiments of the present application;

[0060] Figure 15 Another structural block diagram of the dendrite growth morphology determination device in the embodiments of the present application;

[0061] Figure 16 Another structural block diagram of the dendrite growth morphology determination device in the embodiments of the present application; Detailed implementation manners

[0062] Hereinafter, embodiments of the technical solutions of the present application will be described in detail with reference to the accompanying drawings. The following embodiments are only used to illustrate the technical solutions of the present application more clearly, and thus are only examples and should not be used to limit the protection scope of the present application.

[0063] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by those of ordinary skill in the technical field to which this application belongs; the terms used herein are only for the purpose of describing specific embodiments and are not intended to limit this application; the terms "including" and "having" and any variations thereof in the specification and claims of this application and the above drawings are intended to cover non-exclusive inclusion.

[0064] In the description of the embodiments of the present application, technical terms such as "first" and "second" are only used to distinguish different objects and cannot be understood as indicating or implying relative importance or implicitly indicating the quantity, specific order or primary-secondary relationship of the indicated technical features. In the description of the embodiments of the present application, "a plurality of" means two or more, unless otherwise specifically defined.

[0065] Referring to "embodiments" herein means that specific features, structures or characteristics described in connection with the embodiments can be included in at least one embodiment of this application. The phrase appears in various places in the specification does not necessarily refer to the same embodiment, nor is it an independent or alternative embodiment mutually exclusive with other embodiments. Those skilled in the art will explicitly and implicitly understand that the embodiments described herein can be combined with other embodiments.

[0066] In the description of the embodiments of the present application, the term "a plurality of" means two or more (including two). Similarly, "a plurality of groups" means two or more groups (including two groups), and "a plurality of pieces" means two or more pieces (including two pieces).

[0067] During the charging or discharging process of the battery, irregular dendrites such as tree branches and needles will be generated. When the dendrites grow to a certain shape, it will cause a short circuit inside the battery. The short circuit inside the battery will cause the battery to be scrapped at the least, and even threaten personal safety in severe cases.

[0068] Therefore, determining the dendrite growth morphology is an important task in the battery field. Based on this, it is necessary to provide a dendrite growth morphology determination method, which will be introduced below.

[0069] Figure 1 FIG. 1 is an application environment diagram of the method for determining the dendrite growth morphology in the embodiment of the present application. In an exemplary embodiment, a computer device is provided, which may be a server, and its internal structure diagram may be as shown in FIG. Figure 1 As shown. The computer device includes a processor, a memory, an input / output interface (Input / Output, referred to as I / O) and a communication interface. The processor, the memory and the 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 the computer program in the non-volatile storage medium. The database of the computer device is used to store relevant data. 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 determining the growth morphology of a dendrite is implemented.

[0070] Those skilled in the art will understand that Figure 1 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 those shown in the figure, or combine certain components, or have a different arrangement of components.

[0071] This embodiment uses the method applied to a server as an example for illustration. It is understandable that the method can also be applied to a terminal, and can also be applied to a system including a terminal and a server, and is implemented through the interaction between the terminal and the server. The terminal can be, but is not limited to, various personal computers, laptops, smart phones, and tablet computers. The server can be implemented as an independent server or a server cluster consisting of multiple servers.

[0072] To determine the dendrite growth morphology, it is necessary to first determine the free energy functional of the system corresponding to the battery according to the phase field theory and the first principles, and then derive the kinetic control equation for dendrite growth based on the free energy functional and the phase field electrochemistry theory. Therefore, the following will exemplify the process of determining the kinetic control equation corresponding to a half-cell system including lithium metal and electrolyte.

[0073] In the half-cell system composed of lithium metal and electrolyte, the total Gibbs free energy of this system consists of the Helmholtz free energy density , the gradient energy density and the electrostatic energy density , as shown in Equation (1),

[0074] (1)

[0075] where represents the set of lithium metal concentration , lithium ion concentration and anion concentration , and is the electric potential.

[0076] For dilute solutions, the Helmholtz free energy density is as shown in the following Equation (2).

[0077] (2)

[0078] In Equation (2), where is the initial electrolyte concentration, is the lithium atom concentration, is the standard chemical potential of component , is the ideal gas constant, is the temperature. The dimensionless lithium metal concentration is selected as the phase field order parameter, and the double-well function is used to describe the equilibrium states of the electrode ( ) and the electrolyte ( ).

[0079] The gradient energy density is as shown in the following Equation (3).

[0080] (3)

[0081] In Equation (3), is a function related to the position . is related to the surface energy and the interface width, and it can be obtained by fitting through first principles calculations. and are the anisotropy strength and the crystallographic anisotropy modulus respectively, is the angle between the normal direction of interface migration and the coordinate axis.

[0082] Electrostatic energy density is as shown in the following formula (4).

[0083] (4)

[0084] In formula (4), is the charge density, is the Faraday constant, is the component valence. Among them, when i = 1, component 1 is the lithium metal concentration ; when i = 2, component 2 is the lithium ion concentration ; when i = 3, component 3 is the anion concentration .

[0085] Furthermore, from the Butler–Volmer equation of the electrode reaction (Butler-Volmer equation), the reaction current during lithium metal deposition is as shown in the following formula (5).

[0086] (5)

[0087] In formula (5), is the exchange current density, is the charge transfer coefficient, is the number of electrons transferred in the reaction. The overpotential , and are the potential differences between the electrode and the electrolyte during the reaction and at equilibrium respectively. Through formulas (1) to (4), the activity of lithium metal can be obtained, and then the potential difference at equilibrium , is the mixing free energy relative to the standard state, , is the standard half-cell potential. It can be seen that is a value related to the electric potential , the lithium ion concentration and the dendrite growth morphology .

[0088] By establishing the connection between the current density equation and the phase field interface migration rate, the phase field equation for describing the lithium metal deposition morphology can be obtained, as shown in the following formula (6).

[0089] (6)

[0090] In formula (6), is the width of the phase-field diffusion interface, is the surface energy of lithium metal. That is, the dendritic growth morphology of lithium ions.

[0091] From the modified Nernst-Planck equation (Nernst-Planck equation), the concentration equation describing the transport of charged particles in the electrolyte can be obtained, as shown in the following equation (7).

[0092] (7)

[0093] In equation (7), is the effective diffusion coefficient, , is the diffusion coefficient of lithium ions in the electrode, is the diffusion coefficient of lithium ions in the electrolyte, , is the polynomial interpolation function.

[0094] Based on the charge continuity equation, the Poisson equation describing the overall electrostatic potential distribution can be obtained, as shown in the following equation (8).

[0095] (8)

[0096] In equation (8), is the effective conductivity, , is the conductivity in the electrode, is the conductivity in the electrolyte.

[0097] It can be understood that the kinetic control equations for dendritic growth include the above equations (5) to (8). In equations (5) to (8), the electric potential , the lithium ion concentration and the dendritic growth morphology are unknown parameters. The parameters other than the unknown parameters in equations (5) to (8) are known parameters.

[0098] Figure 2 This is a schematic flow chart of the method for determining the dendritic growth morphology in the embodiments of the present application. In an exemplary embodiment, as Figure 2 shown, a method for determining the dendritic growth morphology is provided. Taking the case where this method is applied to Figure 1 in a computer device as an example, it includes the following S201 to S203.

[0099] S201. Determine the initial electric potential distribution according to the target physical property parameters of the battery, the first dendritic growth morphology distribution, the first lithium ion concentration distribution, and the first electric potential distribution on the geometric solution domain of the battery at the current moment.

[0100] In this embodiment, the battery includes, but is not limited to, a lithium battery. The battery can be used, but is not limited to, in power-consuming devices such as vehicles, ships, or aircraft, and can also be used to form a power supply system of the power-consuming device with the battery disclosed in this application.

[0101] The target physical property parameters refer to the property parameters of the materials used in the battery. For example, they can include the lithium atom concentration in the battery, the diffusion coefficient of lithium ions in the electrode, and so on. Taking a lithium battery as an example, the target physical property parameters can include the known parameters in the above formulas (5) to (8). That is to say, the target physical property parameters include the parameters in formulas (5) to (8) except for the electric potential , the lithium ion concentration and the dendrite growth morphology . Exemplarily, the target physical property parameters include the exchange current density , the charge transfer coefficient , the number of electrons transferred in the reaction , the ideal gas constant R, the temperature T, the anisotropy strength , the mixing free energy of the standard state , the Faraday constant F, the lithium atom concentration , the width of the phase field diffusion interface , the effective diffusion coefficient , the effective conductivity .

[0102] The geometric solution domain of the battery refers to the region where dendrite growth occurs in the battery, which can be a rectangular, circular, or other irregular two-dimensional or three-dimensional region. Optionally, the computer device can determine the geometric solution domain of the battery based on the shape specified by the user, or the computer device can also select one from multiple candidate geometric solution domains as the geometric solution domain to be used subsequently.

[0103] Furthermore, the computer device will obtain the first dendrite growth morphology distribution , the first lithium ion concentration distribution and the first electric potential distribution on the geometric solution domain of the battery at the current moment t. Wherein, t is a number greater than or equal to 0.

[0104] Among them, the computer device can divide the geometric solution domain into grids to obtain multiple grids in the geometric solution domain.

[0105] Furthermore, the first dendrite growth morphology distribution includes the dendrite growth morphology corresponding to each grid in the geometric solution domain at the current moment t. The dendrite growth morphology is a value between 0 and 1, and different values correspond to different states of the dendrite growth morphology. Taking the geometric solution domain including grids 1 to 10 as an example, the first dendrite growth morphology distribution It includes the dendrite growth morphology 1 corresponding to grid 1, the dendrite growth morphology 2 corresponding to grid 2... the dendrite growth morphology 10 corresponding to grid 10 at the current moment t.

[0106] Similarly, the first lithium ion concentration distribution includes the lithium ion concentrations corresponding to each grid in the geometric solution domain at the current moment t. Continuing with the above example, the first lithium ion concentration distribution includes the lithium ion concentration 1 corresponding to grid 1, the lithium ion concentration 2 corresponding to grid 2... the lithium ion concentration 10 corresponding to grid 10 at the current moment t.

[0107] The first electric potential distribution includes the electric potentials corresponding to each grid in the geometric solution domain at the current moment t. Continuing with the above example, the first electric potential distribution includes the electric potential 1 corresponding to grid 1, the electric potential 2 corresponding to grid 2... the electric potential 10 corresponding to grid 10 at the current moment t.

[0108] It can be understood that in the case of the current moment t = 0, the first dendrite growth morphology distribution , the first lithium ion concentration distribution and the first electric potential distribution can be preset, and the computer device can generate the first dendrite growth morphology distribution , the first lithium ion concentration distribution and the first electric potential distribution according to the preset rules, or can also receive the first dendrite growth morphology distribution , the first lithium ion concentration distribution and the first electric potential distribution input by the user.

[0109] Furthermore, the computer device can determine the initial electric potential distribution according to the target physical property parameters, the first dendrite growth morphology distribution , the first lithium ion concentration distribution and the first electric potential distribution . Similarly, the initial electric potential distribution will also include the electric potentials corresponding to each grid in the geometric solution domain.

[0110] Optionally, the computer device can use the phase field equation shown in Equation (6) and the Poisson equation shown in Equation (8) to determine the initial electric potential distribution according to the target physical property parameters, the first dendrite growth morphology distribution , the first lithium ion concentration distribution and the first electric potential distribution .

[0111] In other words, the left side of the equation in formula (6) is unknown. The computer device can substitute the target physical property parameters, the first dendrite growth morphology distribution , the first lithium ion concentration distribution and the first electric potential distribution into formula (6) to determine . Furthermore, only in formula (8) is unknown. Therefore, the computer device can substitute the target physical property parameters, the first dendrite growth morphology distribution and the first lithium ion concentration distribution into formula (8) to iterate on the first electric potential distribution to determine the initial electric potential distribution .

[0112] S202. Determine the reaction current corresponding to the initial electric potential distribution according to the initial electric potential distribution, the first lithium dendrite growth morphology, and the first lithium ion concentration distribution.

[0113] In this embodiment, after the computer device determines the initial electric potential distribution , it can determine the reaction current corresponding to the initial electric potential distribution according to the initial electric potential distribution , the first dendrite growth morphology distribution and the first lithium ion concentration distribution . Among them, the reaction current can be used to indicate the charging current during the charging process of the battery or the discharging current during the discharging process.

[0114] Optionally, the computer device can use formula (5) to determine the reaction current corresponding to the initial electric potential distribution according to the target physical property parameters, the initial electric potential distribution , the first dendrite growth morphology distribution and the first lithium ion concentration distribution . In other words, the computer device can substitute the target physical property parameters, the initial electric potential distribution , the first lithium dendrite growth morphology and the first lithium ion concentration distribution into formula (5) to obtain the reaction current corresponding to the initial electric potential distribution . In some embodiments, the computer device can also store the correspondence between different electric potential distributions and different reaction currents based on the first lithium dendrite growth morphology and the first lithium ion concentration distribution, and determine the reaction current corresponding to the initial electric potential distribution

[0115] according to this correspondence.

[0116] S203. Determine the distribution of the second dendrite growth morphology on the geometric solution domain at the next moment according to the reaction current and the target physical property parameters.

[0117] Furthermore, the computer device can determine the distribution of the second dendrite growth morphology on the geometric solution domain at the next moment t + 1 according to the target physical property parameters and the initial electric potential distribution and the corresponding reaction current. Similarly, the distribution of the second dendrite growth morphology includes the dendrite growth morphology corresponding to each grid in the geometric solution domain at the next moment t + 1. In this way, the distribution of the second dendrite growth morphology is determined , that is, the dendrite growth morphology corresponding to the next moment t + 1 is determined.

[0118] Optionally, the computer device can use Equation (6) to determine the distribution of the second dendrite growth morphology based on the target physical property parameters and the reaction current corresponding to the initial electric potential distribution . That is to say, the computer device can substitute the reaction current corresponding to the target physical property parameters and the initial electric potential distribution into Equation (6) to obtain the distribution of the second dendrite growth morphology .

[0119] In some embodiments, the computer device can adjust the initial electric potential distribution according to the reaction current corresponding to the initial electric potential distribution , until the reaction current corresponding to the obtained initial electric potential distribution is equal to the preset current, and then determine the distribution of the second dendrite growth morphology based on Equation (6) .

[0120] In the above dendrite growth morphology determination method, since the initial electric potential distribution can be determined according to the target physical property parameters of the battery, the distribution of the first dendrite growth morphology, the first lithium ion concentration distribution, and the first electric potential distribution on the geometric solution domain of the battery at the current moment, and the reaction current corresponding to the initial electric potential distribution can be determined according to the initial electric potential distribution, the distribution of the first dendrite growth morphology, and the first lithium ion concentration distribution, and then the distribution of the second dendrite growth morphology on the geometric solution domain at the next moment can be determined according to the reaction current and the target physical property parameters. Determining the distribution of the second dendrite growth morphology also means determining the dendrite growth morphology. Therefore, this embodiment can determine the dendrite growth morphology of the battery. And since the distribution of the second dendrite growth morphology can be obtained based on the reaction current, it is beneficial to determine the dendrite growth morphology with the current as the boundary condition, which is closer to the actual working conditions during the use of the battery and has higher accuracy.

[0121] Figure 3 ​​This is a schematic flow chart for determining the distribution of the second dendrite growth morphology in an embodiment of the present application. In an exemplary embodiment, as Figure 3 shown, S203 includes S301 to S302.

[0122] S301, determine the second electric potential distribution on the geometric solution domain at the next moment according to the reaction current and the preset current; the reaction current corresponding to the second electric potential distribution is consistent with the preset current.

[0123] To simplify the calculation, the traditional technology predicts the dendrite growth morphology based on the non - linear phase - field model under the boundary condition of constant electric potential. However, in actual working conditions, the battery operates at a constant current. Therefore, the constant electric potential does not conform to the actual working conditions of the battery, resulting in the predicted dendrite growth morphology not being able to truly reflect the growth morphology of the dendrite.

[0124] Therefore, in this embodiment, the second electric potential distribution when the reaction current is consistent with the preset current will be calculated. The preset current is the desired reaction current of the battery. That is to say, the preset current can be used to indicate the charging current that the desired battery reaches during charging or the discharging current that the desired battery reaches during discharging. The computer device can obtain the preset current sent by other devices or receive the preset current specified by the user.

[0125] Further, the computer device can determine the second electric potential distribution on the geometric solution domain at the next moment t + 1 according to the reaction current corresponding to the initial electric potential distribution and the preset current . Similarly, the second electric potential distribution includes the electric potential corresponding to each grid in the geometric solution domain at the next moment t + 1.

[0126] Furthermore, the reaction current corresponding to the second electric potential distribution is consistent with the preset current. It should be noted that the reaction current being consistent with the preset current can mean that the reaction current is equal to the preset current, or the difference between the reaction current and the preset current is less than the preset difference. Among them, the preset difference can be set according to requirements, for example, set to a number close to 0.

[0127] Optionally, when the reaction current corresponding to the initial electric potential distribution is inconsistent with the preset current, the computer device can find the electric potential distribution that is consistent with the preset current as the second electric potential distribution according to the corresponding relationship between different electric potential distributions and different reaction currents .

[0128] S302, determine the second dendrite growth morphology distribution on the geometric solution domain at the next moment according to the target physical property parameters, the first dendrite growth morphology distribution, the first lithium - ion concentration distribution, and the second electric potential distribution.

[0129] Furthermore, the computer device can, based on the target physical property parameters, the first dendrite growth morphology distribution , the first lithium ion concentration distribution and the second electric potential distribution , determine the second dendrite growth morphology distribution .

[0130] Optionally, the computer device can utilize the phase field equation shown in Equation (6) to determine the second dendrite growth morphology distribution according to the target physical property parameters, the first dendrite growth morphology distribution , the first lithium ion concentration distribution and the second electric potential distribution . That is to say, only , , and in Equation (6) are unknown. Therefore, the computer device can substitute the target physical property parameters, the first dendrite growth morphology distribution , the first lithium ion concentration distribution and the second electric potential distribution into Equation (6) to obtain the second dendrite growth morphology distribution .

[0131] In the above embodiments, since the reaction current corresponding to the second electric potential distribution is consistent with the preset current, therefore, according to the reaction current and the preset current, the second electric potential distribution at the next moment on the geometric solution domain is determined, and according to the target physical property parameters, the first dendrite growth morphology distribution, the first lithium ion concentration distribution and the second electric potential distribution, the second dendrite growth morphology distribution at the next moment on the geometric solution domain under the constant current condition can be determined, which is more in line with the actual working conditions during the battery use process and has higher accuracy.

[0132] In an exemplary embodiment, S301 above can be implemented in the following manner:

[0133] If the reaction current is consistent with the preset current, the initial electric potential distribution is used as the second electric potential distribution.

[0134] In this embodiment, after the computer device determines the reaction current corresponding to the initial electric potential distribution , it will compare the reaction current corresponding to the initial electric potential distribution with the preset current. If the reaction current corresponding to the initial electric potential distribution is consistent with the preset current, the computer device will use the initial electric potential distribution as the second electric potential distribution . In this way, according to the second electric potential distribution , the second dendrite growth morphology distribution corresponding to the preset current can be obtained subsequently 。

[0135] In the above embodiments, since if the reaction current is consistent with the preset current, the initial potential distribution is taken as the second potential distribution, it is possible to make the reaction current corresponding to the second potential distribution consistent with the preset current, so as to determine the second dendrite growth morphology distribution under the constant current condition.

[0136] Figure 4 It is a schematic flowchart of a process for determining a second potential distribution in an embodiment of the present application. In an exemplary embodiment, as Figure 4 shown, the above dendrite growth morphology determination method further includes S401 to S403.

[0137] S401, if the reaction current is inconsistent with the preset current, adjust the initial potential distribution to obtain a new potential distribution.

[0138] In this embodiment, if the reaction current corresponding to the initial potential distribution is inconsistent with the preset current, it means that the reaction current corresponding to the initial potential distribution does not meet the requirements of the desired preset current. Therefore, the computer device will adjust the initial potential distribution to obtain a new potential distribution. For example, the computer device can adjust the initial potential distribution according to the difference between the reaction current corresponding to the initial potential distribution and the preset current, and adjust the initial potential distribution to obtain a new potential distribution based on this difference.

[0139] S402, determine the reaction current corresponding to the new potential distribution according to the new potential distribution, the first dendrite growth morphology distribution, and the first lithium ion concentration distribution.

[0140] Furthermore, after the computer device obtains the new potential distribution, it will continue to determine the reaction current corresponding to the new potential distribution according to the new potential distribution, the first dendrite growth morphology distribution and the first lithium ion concentration distribution .

[0141] For example, the computer device can use Equation (5) to determine the reaction current corresponding to the new potential distribution according to the target physical property parameters, the new potential distribution, the first dendrite growth morphology distribution and the first lithium ion concentration distribution . Among them, the principle of determining the reaction current corresponding to the new potential distribution is the same as that of determining the reaction current corresponding to the initial potential distribution, which will not be elaborated here.

[0142] S403, take the new potential distribution corresponding to the reaction current consistent with the preset current as the second potential distribution.

[0143] Further, the computer device may use the new potential distribution corresponding to the reaction current consistent with the preset current as the second potential distribution. Optionally, the computer device may use the new potential distribution as the second potential distribution when the reaction current corresponding to the new potential distribution is consistent with the preset current. When the reaction current corresponding to the new potential distribution is inconsistent with the preset current, the new potential distribution is adjusted to update the new potential distribution until the reaction current corresponding to the new potential distribution is consistent with the preset current.

[0144] Exemplarily, when the reaction current corresponding to the initial potential distribution is inconsistent with the preset current, the initial potential distribution is adjusted to obtain a new potential distribution 1. After that, the computer device will calculate the reaction current corresponding to the new potential distribution 1, the first dendrite growth morphology distribution and the first lithium ion concentration distribution . If the reaction current corresponding to the new potential distribution

[0145] 1 is still inconsistent with the preset current, the computer device may continue to adjust the new potential distribution 1 to obtain a new potential distribution 2, and calculate the reaction current corresponding to the new potential distribution 2, the first dendrite growth morphology distribution 2, and the first lithium ion concentration distribution . If the reaction current corresponding to the new potential distribution

[0146] 2 is still inconsistent with the preset current, the computer device continues to adjust the new potential distribution 2, and so on, until the reaction current corresponding to the new potential distribution 4 is consistent with the preset current, then the new potential distribution 4 is used as the second potential distribution . .

[0147] In the above embodiments, since when the reaction current is inconsistent with the preset current, the initial potential distribution is adjusted to obtain a new potential distribution, and the reaction current corresponding to the new potential distribution is determined according to the new potential distribution, the first dendrite growth morphology distribution, and the first lithium ion concentration distribution. Therefore, after using the new potential distribution corresponding to the reaction current consistent with the preset current as the second potential distribution, the reaction current corresponding to the second potential distribution can be made consistent with the preset current.

[0148] Figure 5 This is a schematic flow diagram of determining a new potential distribution in an embodiment of the present application. In an exemplary embodiment, as Figure 5 shown, "adjusting the initial potential distribution to obtain a new potential distribution" in S401 further includes S501 to S502.

[0149] S501, if the reaction current corresponding to the initial potential distribution is greater than the preset current, then reduce the upper limit value in the initial potential distribution to obtain a new potential distribution.

[0150] In this embodiment, if the reaction current corresponding to the initial potential distribution is greater than the preset current, it indicates that the initial potential distribution is relatively high. Therefore, the computer device will reduce the upper limit value in the initial potential distribution to obtain a new potential distribution.

[0151] Among them, the upper limit value of the initial potential distribution refers to the maximum value among the potentials corresponding to each grid. Exemplarily, the first potential distribution includes the potentials corresponding to each grid in the geometric solution domain at the current moment t. Continuing the above example, assuming that the initial potential distribution includes the potential 1 corresponding to grid 1, the potential 2 corresponding to grid 2... the potential 10 corresponding to grid 10, and among the initial potential distribution the potential 8 corresponding to grid 8 is the largest, then the computer device will reduce the potential 8 corresponding to grid 8, thereby obtaining a new potential distribution.

[0152] Optionally, the computer device can reduce the upper limit value in the initial potential distribution according to the first step size to obtain a new potential distribution. The first step size is set according to requirements and is a number greater than 0.

[0153] S502, if the reaction current corresponding to the initial potential distribution is less than the preset current, then increase the upper limit value in the initial potential distribution to obtain a new potential distribution.

[0154] Similar to the principle of S501, if the reaction current corresponding to the initial potential distribution is less than the preset current, it indicates that the initial potential distribution is relatively low. Therefore, the computer device will reduce the upper limit value in the initial potential distribution to obtain a new potential distribution. Continuing the above example, then the computer device will increase the potential 8 corresponding to grid 8, thereby obtaining a new potential distribution.

[0155] Optionally, the computer device can increase the upper limit value in the initial potential distribution according to the second step size to obtain a new potential distribution. The second step size is set according to requirements and is a number greater than 0.

[0156] The method of adjusting the new potential distribution is the same as that in S501~S502. Continuing with the example of S403, if the initial potential distribution corresponds to a reaction current greater than the preset current, the computer device reduces the upper limit value in the initial potential distribution to obtain a new potential distribution 1. After that, the computer device will calculate the reaction current corresponding to the new potential distribution 1, the first dendrite growth morphology distribution and the first lithium ion concentration distribution . If the reaction current corresponding to the new potential distribution 1 is still greater than the preset current, the computer device will reduce the upper limit value in the new potential distribution 1 to obtain a new potential distribution 2, and calculate the reaction current corresponding to the new potential distribution 2 according to the new potential distribution 2, the first dendrite growth morphology distribution and the first lithium ion concentration distribution . If the reaction current corresponding to the new potential distribution 2 is less than the preset current, the computer device will increase the upper limit value in the new potential distribution 2, and so on, until the reaction current corresponding to the new potential distribution 4 is consistent with the preset current, and the new potential distribution 4 is used as the second potential distribution . .

[0157] In the above embodiment, since the upper limit value in the initial potential distribution is reduced to obtain a new potential distribution when the reaction current corresponding to the initial potential distribution is greater than the preset current, and the upper limit value in the initial potential distribution is increased to obtain a new potential distribution when the reaction current corresponding to the initial potential distribution is less than the preset current. Therefore, after adjusting the initial potential distribution, the reaction current corresponding to the second potential distribution will be consistent with the preset current.

[0158] In an exemplary embodiment, the above dendrite growth morphology determination method further includes the following steps:

[0159] Determine the second lithium ion concentration distribution on the geometric solution domain at the next moment according to the target physical property parameters, the first lithium ion concentration distribution, the second potential distribution, and the second dendrite growth morphology distribution.

[0160] In the embodiment, the computer device will also calculate according to the target physical property parameters, the first lithium ion concentration distribution , the second potential distribution and the second dendrite growth morphology distribution , determine the second lithium ion concentration distribution on the geometric solution domain at the next moment t+1 . Similarly, the second lithium ion concentration distribution includes the lithium ion concentrations corresponding to each grid in the geometric solution domain at the current moment t+1.

[0161] Optionally, the computer device can use the concentration equation shown in Equation (7), according to the target physical property parameters, the first lithium ion concentration distribution , the second electric potential distribution and the second dendrite growth morphology distribution , determine the second lithium ion concentration distribution . That is to say, only is unknown in Equation (7), so the computer device will substitute the target physical property parameters, the first lithium ion concentration distribution , the second electric potential distribution and the second dendrite growth morphology distribution into Equation (7) to obtain the second lithium ion concentration distribution .

[0162] In this way, the lithium ion concentration distribution at each moment is also continuously updated. Exemplarily, at the current moment t=0, it corresponds to the first lithium ion concentration distribution , and the second lithium ion concentration distribution is calculated. Then at the current moment t=1, it corresponds to the first lithium ion concentration distribution , and so on, which will not be elaborated here.

[0163] In the above embodiment, since the second lithium ion concentration distribution on the geometric solution domain at the next moment is determined according to the target physical property parameters, the first lithium ion concentration distribution, the second electric potential distribution and the second dendrite growth morphology distribution, therefore, the accuracy of the lithium ion concentration distribution at each moment is also improved, thereby improving the accuracy of the determined dendrite growth morphology.

[0164] Similarly, the electric potential distribution and the dendrite growth morphology at each moment are also continuously updated. Exemplarily, at the current moment t=0, the computer device knows the first lithium ion concentration distribution , the first dendrite growth morphology distribution and the first electric potential distribution , and determines the second lithium ion concentration distribution , the second dendrite growth morphology distribution and the second electric potential distribution at the next moment t=1.

[0165] At the current moment t=1, then the computer device knows the first lithium ion concentration distribution , the first dendrite growth morphology distribution and the first potential distribution , and determined the second lithium ion concentration distribution at the next moment t = 2 , the second dendrite growth morphology distribution and the second potential distribution . And so on, the same applies to other moments, which will not be elaborated here.

[0166] In an exemplary embodiment, the above dendrite growth morphology determination method further includes the following steps:

[0167] Determine the change of the dendrite growth morphology distribution of the battery over time according to the dendrite growth morphology distribution on the geometric solution domain at each moment.

[0168] This embodiment will be described with an example. At the current moment t = 0 and the next moment t = 1, the computer device will, according to the target physical property parameters, the first dendrite growth morphology distribution , the first lithium ion concentration distribution and the first potential distribution , determine the initial potential distribution at t = 0 , and according to the initial potential distribution at t = 0 , the first dendrite growth morphology distribution and the first lithium ion concentration distribution , determine the initial potential distribution at t = 0 corresponding reaction current, and then according to the reaction current corresponding to the initial potential distribution at t = 0 and the target physical property parameters, determine the second dendrite growth morphology distribution at t = 1 .

[0169] At the current moment t = 1 and the next moment t = 2, the computer device will, according to the target physical property parameters, the first dendrite growth morphology distribution , the first lithium ion concentration distribution and the first potential distribution , determine the initial potential distribution at t = 1 , and according to the initial potential distribution at t = 1 , the first dendrite growth morphology distribution and the first lithium ion concentration distribution , determine the initial potential distribution at t = 1 corresponding reaction current, and then according to the reaction current corresponding to the initial potential distribution at t = 1 and the target physical property parameters, determine the second dendrite growth morphology distribution at t = 2 .

[0170] By analogy, in this way, the computer device can calculate the dendrite growth morphology distribution on the geometric solution domain at each moment. 、 、…… Thus, the change of the dendrite growth morphology distribution of the battery over time is also determined.

[0171] In the above embodiments, since the change of the dendrite growth morphology distribution of the battery over time is determined according to the dendrite growth morphology distribution on the geometric solution domain at each moment, the reliability and efficiency of determining the dendrite growth morphology are improved.

[0172] Figure 6 FIG. is a schematic flow chart of a method for determining a geometric solution domain in an embodiment of the present application. In an exemplary embodiment, as Figure 6 shown, the above dendrite growth morphology determination method further includes S601 to S603.

[0173] S601, obtain a cross-sectional image of the electrode structure of the battery.

[0174] In the traditional technology, the battery is simplified when predicting the dendrite growth morphology. For example, the dendrite growth morphology is predicted in a rectangular area, which cannot reflect the true structure of the electrode sheet and the electrolyte interface in the battery. Therefore, the accuracy of the dendrite growth morphology determined by the traditional technology is not high.

[0175] Therefore, in this embodiment, a cross-sectional image of the electrode structure will be obtained. The cross-sectional image of the electrode structure may include but is not limited to a two-dimensional image. The cross-sectional image includes an electrode region and an electrolyte region. The electrode region is used to indicate the region where the metal negative electrode in the battery is located, and the electrolyte region is used to indicate the region where the electrolyte in the battery is located.

[0176] Optionally, the computer device may obtain a cross-sectional image sent by other devices, or the computer device may also simulate and generate a cross-sectional image according to a preset rule, and the computer device may obtain a cross-sectional image in response to a user's input operation. Figure 7 FIG. is a schematic diagram of a cross-sectional image in an embodiment of the present application. As Figure 7 shown, the cross-sectional image includes a white electrolyte region 701, a black electrode region 702, and a cross-sectional contour between the electrolyte region 701 and the electrode region 702.

[0177] S602, determine the cross-sectional contour between the electrode region and the electrolyte region in the cross-sectional image.

[0178] Further, after the computer device obtains the cross-sectional image, it can determine the cross-sectional contour between the electrode region and the electrolyte region in the cross-sectional image.

[0179] Optionally, the computer device can determine the cross-sectional contour between the electrode region and the electrolyte region in the cross-sectional image in response to operations such as user selection and drawing. The computer device can also use a preset recognition algorithm to determine the cross-sectional contour between the electrode region and the electrolyte region in the cross-sectional image.

[0180] In some embodiments, the computer device can also determine the cross-sectional contour based on the cross-sectional image and the target model. For example, the cross-sectional image can be input into the trained target model, and the target model outputs the cross-sectional contour between the electrode region and the electrolyte region.

[0181] The target model can be a supervised learning model, a semi-supervised learning model, an unsupervised learning model, etc. Exemplarily, the target model can include, but is not limited to, at least one of a Convolutional Neural Networks (CNN) model, a Recurrent Neural Network (RNN), a Fully Convolutional Neural Network (FCN) model, a Generative Adversarial Network (GAN) model, a Back-propagation (BP) machine learning model, a Radial Basis Function (RBF) model, a Deep Belief Networks (DBN) model, an Elman model, or a combined model thereof.

[0182] S603. Determine the geometric solution domain according to the cross-sectional contour.

[0183] Furthermore, the computer device can determine the geometric solution domain according to the cross-sectional contour. Figure 8 This is a schematic diagram of a geometric solution domain in an embodiment of the present application. As Figure 8 shown, the geometric solution domain 801 can include the electrolyte region and the cross-sectional contour between the electrolyte region and the electrode region.

[0184] Optionally, the computer device can merge the electrolyte region and the cross-sectional contour in the cross-sectional image to obtain the geometric solution domain. The computer device can also perform filtering, noise reduction, etc. on the cross-sectional contour to obtain the processed cross-sectional contour, and then merge the electrolyte region and the processed cross-sectional contour in the cross-sectional image to obtain the geometric solution domain. In some embodiments, the computer device can also remove the electrode region in the cross-sectional image according to the cross-sectional contour to obtain the geometric solution domain including the cross-sectional contour and the electrolyte region in the cross-sectional image.

[0185] In the above embodiments, since the cross-sectional image of the electrode structure of the battery is obtained and the cross-sectional contour between the electrode region and the electrolyte region in the cross-sectional image is determined, therefore, this embodiment can reflect the true structure of the electrode sheet and the electrolyte interface in the battery. Furthermore, based on the cross-sectional contour, the geometric solution domain that conforms to the actual battery situation can be determined more accurately.

[0186] To more clearly introduce the method for determining the dendrite growth morphology in this application, the following is combined Figures 9 - 11 for illustration. Figure 9 As shown in Figure 9 , which is a simulation flow chart of a method for determining the dendrite growth morphology in an embodiment of this application. First, the free energy functional is calculated according to the phase field theory and the first principle, as shown in Equations (1) to (4). Then, based on the free energy functional and the phase field electrochemistry theory, the kinetic control equation for lithium dendrite growth is derived, as shown in Equations (5) to (8). Furthermore, the cross-sectional image, physical property parameters, and kinetic control equation are obtained by the finite element software in the computer device, and the reaction current is controlled to be consistent with the preset current through potential iteration, and the phase field equation and diffusion equation for lithium dendrite growth are numerically solved, that is, the processes of S201 to S203 are implemented. After that, the lithium dendrite growth morphology under a constant current can be output.

[0187] Figure 10 As shown in Figure 10 , which is an implementation flow chart of a method for determining the dendrite growth morphology in an embodiment of this application. At each moment, the computer device first determines the potential distribution according to the Poisson equation in the constant current model, and then uses the Butler–Volmer equation in the constant current model to determine the reaction current corresponding to the potential distribution. Then, it is judged whether the reaction current corresponding to the potential distribution is consistent with the preset current. If the reaction current corresponding to the potential distribution is not consistent with the preset current, the computer device performs potential iteration on the potential distribution until the reaction current corresponding to the potential distribution is consistent with the preset current, and continues the subsequent process. If they are consistent, the dendrite growth morphology distribution is directly determined according to the phase field equation in the constant current model, and the lithium ion concentration distribution is determined according to the concentration equation in the constant current model. After that, at each moment, the computer device repeats the above process to determine the dendrite growth morphology distribution at each moment.

[0188] Figure 11 As shown in Figure 11 , which is a process schematic diagram of a method for determining the dendrite growth morphology in an embodiment of this application. The computer device can execute the method for determining the dendrite growth morphology according to the following process.

[0189] S1101, obtain the cross-sectional image of the electrode structure of the battery.

[0190] S1102. Determine the cross-sectional contour between the electrode region and the electrolyte region in the cross-sectional image.

[0191] S1103. Determine the geometric solution domain according to the cross-sectional contour.

[0192] S1104. Determine the initial potential distribution according to the target physical property parameters of the battery, the first dendrite growth morphology distribution, the first lithium ion concentration distribution, and the first potential distribution on the geometric solution domain of the battery at the current moment.

[0193] S1105. Determine the reaction current corresponding to the initial potential distribution according to the initial potential distribution, the first dendrite growth morphology distribution, and the first lithium ion concentration distribution.

[0194] S1106. If the reaction current is consistent with the preset current, use the initial potential distribution as the second potential distribution.

[0195] S1107. If the reaction current is not consistent with the preset current, adjust the initial potential distribution to obtain a new potential distribution. Specifically, if the reaction current corresponding to the initial potential distribution is greater than the preset current, decrease the upper limit value in the initial potential distribution to obtain a new potential distribution; if the reaction current corresponding to the initial potential distribution is less than the preset current, increase the upper limit value in the initial potential distribution to obtain a new potential distribution.

[0196] S1108. Determine the reaction current corresponding to the new potential distribution according to the new potential distribution, the first dendrite growth morphology distribution, and the first lithium ion concentration distribution.

[0197] S1109. Use the new potential distribution corresponding to the reaction current consistent with the preset current as the second potential distribution. The reaction current corresponding to the second potential distribution is consistent with the preset current.

[0198] S1110. Determine the second dendrite growth morphology distribution on the geometric solution domain at the next moment according to the target physical property parameters, the first dendrite growth morphology distribution, the first lithium ion concentration distribution, and the second potential distribution.

[0199] S1111. Determine the second lithium ion concentration distribution on the geometric solution domain at the next moment according to the target physical property parameters, the first lithium ion concentration distribution, the second potential distribution, and the second dendrite growth morphology distribution.

[0200] S1112. Determine the change of the dendrite growth morphology distribution of the battery over time according to the dendrite growth morphology distributions on the geometric solution domain at each moment.

[0201] The processes of S1101 to S1112 can refer to the above embodiments and will not be elaborated here.

[0202] It can be seen that, on the one hand, for the method provided in this embodiment, before numerically solving the lithium dendrite growth kinetic equation, a step of judging the reaction current and potential iteration is added. By potential iteration, the reaction current at each moment is made equal to the set current, and the calculation of the next phase field equation and diffusion equation is carried out, that is, the dendrite growth simulation under constant current conditions is realized, and thus a more accurate dendrite growth morphology is obtained. On the other hand, by obtaining the cross-sectional image of the battery, the actual electrode structure and electrolyte interface in the battery are further reflected, further improving the accuracy of the dendrite growth morphology.

[0203] It should be understood that although the steps in the flowcharts involved in the above embodiments are shown in sequence according to the arrows, these steps do not necessarily have to be executed in the order indicated by the arrows. Unless there is a clear description in this article, the execution of these steps has no strict order limit, and these steps can be executed in other orders. Moreover, at least a part of the steps in the flowcharts involved in the above embodiments may include multiple steps or multiple stages. These steps or stages do not necessarily have to be executed at the same time, but can be executed at different times. The execution order of these steps or stages does not necessarily have to be in sequence, but can be executed alternately or alternately with at least a part of other steps or steps or stages in other steps.

[0204] Based on the same inventive concept, the embodiments of the present application also provide a device for determining the dendrite growth morphology for implementing the dendrite growth morphology determination method involved above. The implementation solutions provided by this device to solve problems are similar to the implementation solutions described in the above method. Therefore, the specific limitations in one or more embodiments of the dendrite growth morphology determination device provided below can refer to the limitations on the dendrite growth morphology determination method in the above text, and will not be repeated here.

[0205] Figure 12 This is one of the structural block diagrams of the dendrite growth morphology determination device in the embodiments of the present application. In an exemplary embodiment, as Figure 12 shown, a dendrite growth morphology determination device 1200 is provided, including: a first determination module 1201, a second determination module 1202, and a third determination module 1203, where:

[0206] The first determination module 1201 is configured to determine an initial potential distribution according to the target physical property parameters of the battery, the first dendrite growth morphology distribution, the first lithium ion concentration distribution, and the first potential distribution on the geometric solution domain of the battery at the current moment.

[0207] The second determination module 1202 is configured to determine the reaction current corresponding to the initial potential distribution according to the initial potential distribution, the first dendrite growth morphology distribution, and the first lithium ion concentration distribution.

[0208] A third determination module 1203, configured to determine a second dendrite growth morphology distribution on a geometric solution domain at the next moment according to a reaction current and a target physical property parameter.

[0209] In the above dendrite growth morphology determination device, since the initial potential distribution can be determined according to the target physical property parameter of the battery, the first dendrite growth morphology distribution, the first lithium ion concentration distribution, and the first potential distribution on the geometric solution domain of the battery at the current moment, and the reaction current corresponding to the initial potential distribution can be determined according to the initial potential distribution, the first dendrite growth morphology distribution, and the first lithium ion concentration distribution, and then the second dendrite growth morphology distribution on the geometric solution domain at the next moment can be determined according to the reaction current and the target physical property parameter. Determining the second dendrite growth morphology distribution also means determining the dendrite growth morphology. Therefore, this embodiment can determine the dendrite growth morphology of the battery. Moreover, since the second dendrite growth morphology distribution can be obtained based on the reaction current, it is beneficial to determine the dendrite growth morphology with the current as the boundary condition, which is closer to the actual working conditions during the use of the battery and has higher accuracy.

[0210] Figure 13 It is a structural block diagram of a third determination module in an embodiment of the present application. In an exemplary embodiment, as Figure 13 shown, optionally, the third determination module 1203 includes:

[0211] A first determination unit 1301, configured to determine a second potential distribution on a geometric solution domain at the next moment according to a reaction current and a preset current; the reaction current corresponding to the second potential distribution is consistent with the preset current.

[0212] A second determination unit 1302, configured to determine a second dendrite growth morphology distribution on a geometric solution domain at the next moment according to a target physical property parameter, a first dendrite growth morphology distribution, a first lithium ion concentration distribution, and a second potential distribution.

[0213] Optionally, the first determination unit 1301 is further configured to use the initial potential distribution as the second potential distribution if the reaction current is consistent with the preset current.

[0214] Optionally, the first determination unit 1301 is further configured to, if the reaction current is inconsistent with the preset current, adjust the initial potential distribution to obtain a new potential distribution; determine the reaction current corresponding to the new potential distribution according to the new potential distribution, the first dendrite growth morphology distribution, and the first lithium ion concentration distribution; and use the new potential distribution corresponding to the reaction current consistent with the preset current as the second potential distribution.

[0215] Optionally, the first determination unit 1301 is further configured to: if the reaction current corresponding to the initial potential distribution is greater than the preset current, reduce the upper limit value in the initial potential distribution to obtain a new potential distribution; if the reaction current corresponding to the initial potential distribution is less than the preset current, increase the upper limit value in the initial potential distribution to obtain a new potential distribution.

[0216] Figure 14 This is the second structural block diagram of the dendrite growth morphology determination device in the embodiments of the present application. In an exemplary embodiment, as Figure 14 shown, optionally, the dendrite growth morphology determination device 1200 further includes:

[0217] The fourth determination module 1401 is configured to determine the second lithium ion concentration distribution on the geometric solution domain at the next moment according to the target physical property parameters, the first lithium ion concentration distribution, the second potential distribution, and the second dendrite growth morphology distribution.

[0218] Figure 15 This is the third structural block diagram of the dendrite growth morphology determination device in the embodiments of the present application. In an exemplary embodiment, as Figure 15 shown, optionally, the dendrite growth morphology determination device 1200 further includes:

[0219] The fifth determination module 1501 is configured to determine the change of the dendrite growth morphology distribution of the battery over time according to the dendrite growth morphology distributions at each moment on the geometric solution domain.

[0220] Figure 16 This is the fourth structural block diagram of the dendrite growth morphology determination device in the embodiments of the present application. In an exemplary embodiment, as Figure 16 shown, optionally, the dendrite growth morphology determination device 1200 further includes:

[0221] The acquisition module 1601 is configured to acquire a cross-sectional image of the electrode structure of the battery.

[0222] The sixth determination module 1602 is configured to determine the cross-sectional contour between the electrode region and the electrolyte region in the cross-sectional image.

[0223] The seventh determination module 1603 is configured to determine the geometric solution domain according to the cross-sectional contour.

[0224] Each module in the above dendrite growth morphology determination device can be implemented in whole or in part by software, hardware, and their combination. The above modules can be embedded in the processor of the computer device in hardware form or be independent of it, or can be stored in the memory of the computer device in software form, so that the processor can call and execute the operations corresponding to the above modules.

[0225] In one embodiment, a computer device is provided, including a memory and a processor. A computer program is stored in the memory. When the processor executes the computer program, the following steps are implemented:

[0226] Determine an initial potential distribution based on the target physical property parameters of the battery, the first dendrite growth morphology distribution, the first lithium ion concentration distribution, and the first potential distribution at the current moment on the geometric solution domain of the battery;

[0227] Determine the reaction current corresponding to the initial potential distribution according to the initial potential distribution, the first dendrite growth morphology distribution, and the first lithium ion concentration distribution;

[0228] Determine the second dendrite growth morphology distribution at the next moment on the geometric solution domain according to the reaction current and the target physical property parameters.

[0229] In one embodiment, when the processor executes the computer program, the following steps are further implemented:

[0230] Determine the second potential distribution at the next moment on the geometric solution domain according to the reaction current and the preset current; the reaction current corresponding to the second potential distribution is consistent with the preset current; determine the second dendrite growth morphology distribution at the next moment on the geometric solution domain according to the target physical property parameters, the first dendrite growth morphology distribution, the first lithium ion concentration distribution, and the second potential distribution.

[0231] In one embodiment, when the processor executes the computer program, the following steps are further implemented:

[0232] If the reaction current is consistent with the preset current, then use the initial potential distribution as the second potential distribution.

[0233] In one embodiment, when the processor executes the computer program, the following steps are further implemented:

[0234] If the reaction current is inconsistent with the preset current, then adjust the initial potential distribution to obtain a new potential distribution; determine the reaction current corresponding to the new potential distribution according to the new potential distribution, the first dendrite growth morphology distribution, and the first lithium ion concentration distribution; use the new potential distribution corresponding to the reaction current consistent with the preset current as the second potential distribution.

[0235] In one embodiment, when the processor executes the computer program, the following steps are further implemented:

[0236] If the reaction current corresponding to the initial potential distribution is greater than the preset current, then decrease the upper limit value in the initial potential distribution to obtain a new potential distribution; if the reaction current corresponding to the initial potential distribution is less than the preset current, then increase the upper limit value in the initial potential distribution to obtain a new potential distribution.

[0237] In one embodiment, when the processor executes the computer program, the following steps are further implemented:

[0238] Determine the second lithium-ion concentration distribution on the geometric solution domain at the next moment according to the target physical property parameters, the first lithium-ion concentration distribution, the second electric potential distribution, and the second dendrite growth morphology distribution.

[0239] In one embodiment, when the processor executes the computer program, the following steps are further implemented:

[0240] Determine the change of the dendrite growth morphology distribution of the battery over time according to the dendrite growth morphology distribution on the geometric solution domain at each moment.

[0241] In one embodiment, when the processor executes the computer program, the following steps are further implemented:

[0242] Obtain a cross-sectional image of the electrode structure of the battery; determine the cross-sectional contour between the electrode region and the electrolyte region in the cross-sectional image; determine the geometric solution domain according to the cross-sectional contour.

[0243] In one embodiment, a computer-readable storage medium is provided, on which a computer program is stored. When the computer program is executed by a processor, the following steps are implemented:

[0244] Determine the initial electric potential distribution according to the target physical property parameters of the battery, the first dendrite growth morphology distribution, the first lithium-ion concentration distribution, and the first electric potential distribution on the geometric solution domain of the battery at the current moment;

[0245] Determine the reaction current corresponding to the initial electric potential distribution according to the initial electric potential distribution, the first dendrite growth morphology distribution, and the first lithium-ion concentration distribution;

[0246] Determine the second dendrite growth morphology distribution on the geometric solution domain at the next moment according to the reaction current and the target physical property parameters.

[0247] In one embodiment, when the computer program is executed by the processor, the following steps are further implemented:

[0248] Determine the second electric potential distribution on the geometric solution domain at the next moment according to the reaction current and the preset current; the reaction current corresponding to the second electric potential distribution is consistent with the preset current; determine the second dendrite growth morphology distribution on the geometric solution domain at the next moment according to the target physical property parameters, the first dendrite growth morphology distribution, the first lithium-ion concentration distribution, and the second electric potential distribution.

[0249] In one embodiment, when the computer program is executed by the processor, the following steps are further implemented:

[0250] If the reaction current is consistent with the preset current, then use the initial electric potential distribution as the second electric potential distribution.

[0251] In one embodiment, when the computer program is executed by a processor, the following steps are further implemented:

[0252] If the reaction current is inconsistent with the preset current, adjust the initial potential distribution to obtain a new potential distribution; determine the reaction current corresponding to the new potential distribution according to the new potential distribution, the first dendrite growth morphology distribution, and the first lithium ion concentration distribution; use the new potential distribution corresponding to the reaction current consistent with the preset current as the second potential distribution.

[0253] In one embodiment, when the computer program is executed by a processor, the following steps are further implemented:

[0254] If the reaction current corresponding to the initial potential distribution is greater than the preset current, decrease the upper limit value in the initial potential distribution to obtain a new potential distribution; if the reaction current corresponding to the initial potential distribution is less than the preset current, increase the upper limit value in the initial potential distribution to obtain a new potential distribution.

[0255] In one embodiment, when the computer program is executed by a processor, the following steps are further implemented:

[0256] Determine the second lithium ion concentration distribution on the geometric solution domain at the next moment according to the target physical property parameters, the first lithium ion concentration distribution, the second potential distribution, and the second dendrite growth morphology distribution.

[0257] In one embodiment, when the computer program is executed by a processor, the following steps are further implemented:

[0258] Determine the change of the dendrite growth morphology distribution of the battery over time according to the dendrite growth morphology distributions on the geometric solution domain at each moment.

[0259] In one embodiment, when the computer program is executed by a processor, the following steps are further implemented:

[0260] Obtain a cross-sectional image of the electrode structure of the battery; determine the cross-sectional contour between the electrode region and the electrolyte region in the cross-sectional image; determine the geometric solution domain according to the cross-sectional contour.

[0261] In one embodiment, a computer program product is provided, including a computer program, and when the computer program is executed by a processor, the following steps are implemented:

[0262] Determine the initial potential distribution according to the target physical property parameters of the battery, the first dendrite growth morphology distribution, the first lithium ion concentration distribution, and the first potential distribution on the geometric solution domain of the battery at the current moment;

[0263] Determine the reaction current corresponding to the initial potential distribution according to the initial potential distribution, the first dendrite growth morphology distribution, and the first lithium ion concentration distribution;

[0264] Determine the second dendrite growth morphology distribution on the geometric solution domain at the next moment according to the reaction current and the target physical property parameters.

[0265] In one embodiment, when the computer program is executed by a processor, the following steps are further implemented:

[0266] Determine the second electric potential distribution on the geometric solution domain at the next moment according to the reaction current and the preset current; the reaction current corresponding to the second electric potential distribution is consistent with the preset current; determine the second dendrite growth morphology distribution on the geometric solution domain at the next moment according to the target physical property parameters, the first dendrite growth morphology distribution, the first lithium ion concentration distribution, and the second electric potential distribution.

[0267] In one embodiment, when the computer program is executed by a processor, the following steps are further implemented:

[0268] If the reaction current is consistent with the preset current, use the initial electric potential distribution as the second electric potential distribution.

[0269] In one embodiment, when the computer program is executed by a processor, the following steps are further implemented:

[0270] If the reaction current is inconsistent with the preset current, adjust the initial electric potential distribution to obtain a new electric potential distribution; determine the reaction current corresponding to the new electric potential distribution according to the new electric potential distribution, the first dendrite growth morphology distribution, and the first lithium ion concentration distribution; use the new electric potential distribution corresponding to the reaction current consistent with the preset current as the second electric potential distribution.

[0271] In one embodiment, when the computer program is executed by a processor, the following steps are further implemented:

[0272] If the reaction current corresponding to the initial electric potential distribution is greater than the preset current, decrease the upper limit value in the initial electric potential distribution to obtain a new electric potential distribution; if the reaction current corresponding to the initial electric potential distribution is less than the preset current, increase the upper limit value in the initial electric potential distribution to obtain a new electric potential distribution.

[0273] In one embodiment, when the computer program is executed by a processor, the following steps are further implemented:

[0274] Determine the second lithium ion concentration distribution on the geometric solution domain at the next moment according to the target physical property parameters, the first lithium ion concentration distribution, the second electric potential distribution, and the second dendrite growth morphology distribution.

[0275] In one embodiment, when the computer program is executed by a processor, the following steps are further implemented:

[0276] Determine the change of the dendrite growth morphology distribution of the battery over time according to the dendrite growth morphology distributions on the geometric solution domain at each moment.

[0277] In one embodiment, when the computer program is executed by a processor, the following steps are further implemented:

[0278] Obtain a cross-sectional image of the electrode structure of the battery; determine the cross-sectional profile between the electrode region and the electrolyte region in the cross-sectional image; determine the geometric solution domain according to the cross-sectional profile.

[0279] Those of ordinary skill in the art can understand that all or part of the processes of implementing the methods in the above embodiments can be completed by instructing relevant hardware through a computer program. 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 methods. Among them, any reference to a memory, database, or other medium used in the embodiments provided in the present application can include at least one of non-volatile and volatile memories. Non-volatile memory can include read-only memory (ROM), magnetic tape, floppy disk, flash memory, optical memory, high-density embedded non-volatile memory, resistive random-access memory (ReRAM), magnetoresistive random-access memory (MRAM), ferroelectric random-access memory (FRAM), phase change memory (PCM), graphene memory, etc. Volatile memory can include random access memory (RAM) or external cache memory, etc. By way of illustration and not limitation, RAM can be in various forms, such as static random access memory (SRAM) or dynamic random access memory (DRAM), etc. The databases involved in the embodiments provided in the present application can include at least one of relational databases and non-relational databases. Non-relational databases can include distributed databases based on blockchain, etc., and are not limited thereto. The processors involved in the embodiments provided in the present application can be general-purpose processors, central processors, graphics processors, digital signal processors, programmable logic devices, data processing logics based on quantum computing, etc., and are not limited thereto.

[0280] The technical features of the above embodiments can be combined arbitrarily. For the sake of brevity of description, 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, it should be considered as the scope recorded in this specification.

[0281] The above-described embodiments merely represent several implementation manners of the present application. The description thereof is relatively specific and detailed, but it should not be construed as a limitation on the patent scope of the present application. It should be noted that for those of ordinary skill in the art, without departing from the concept of the present application, several modifications and improvements can still be made, and these all fall within the protection scope of the present application. Therefore, the protection scope of the present application shall be subject to the appended claims.

Claims

1. A method for determining the dendrite growth morphology, characterized in that The method includes: Determining an initial potential distribution according to the target physical property parameters of the battery, the first dendrite growth morphology distribution, the first lithium ion concentration distribution, and the first potential distribution on the geometric solution domain of the battery at the current moment; Determining a reaction current corresponding to the initial potential distribution according to the initial potential distribution, the first dendrite growth morphology distribution, and the first lithium ion concentration distribution; Determining a second dendrite growth morphology distribution on the geometric solution domain at the next moment according to the reaction current and the target physical property parameters.

2. The method according to claim 1, wherein The determining a second dendrite growth morphology distribution on the geometric solution domain at the next moment according to the reaction current and the target physical property parameters includes: Determining a second potential distribution on the geometric solution domain at the next moment according to the reaction current and a preset current; the reaction current corresponding to the second potential distribution is consistent with the preset current; Determining a second dendrite growth morphology distribution on the geometric solution domain at the next moment according to the target physical property parameters, the first dendrite growth morphology distribution, the first lithium ion concentration distribution, and the second potential distribution.

3. The method according to claim 2, wherein The determining a second potential distribution on the geometric solution domain at the next moment according to the reaction current and the preset current includes: If the reaction current is consistent with the preset current, using the initial potential distribution as the second potential distribution.

4. The method according to claim 2 or 3, characterized in that The method further includes: If the reaction current is inconsistent with the preset current, adjusting the initial potential distribution to obtain a new potential distribution; Determining a reaction current corresponding to the new potential distribution according to the new potential distribution, the first dendrite growth morphology distribution, and the first lithium ion concentration distribution; Using the new potential distribution corresponding to the reaction current consistent with the preset current as the second potential distribution.

5. The method according to claim 4, characterized in that The adjusting the initial potential distribution to obtain a new potential distribution includes: If the reaction current corresponding to the initial potential distribution is greater than the preset current, reducing the upper limit value in the initial potential distribution to obtain the new potential distribution; If the reaction current corresponding to the initial potential distribution is less than the preset current, increasing the upper limit value in the initial potential distribution to obtain the new potential distribution.

6. The method according to any one of claims 2-5, characterized in that, The method further includes: Determining a second lithium ion concentration distribution on the geometric solution domain at the next moment according to the target physical property parameters, the first lithium ion concentration distribution, the second potential distribution, and the second dendrite growth morphology distribution.

7. The method according to any one of claims 1-6, characterized in that, The method further includes: Determining the change of the dendrite growth morphology distribution of the battery over time according to the dendrite growth morphology distributions on the geometric solution domain at each moment.

8. The method according to any one of claims 1 to 7, characterized in that, The method further includes: Obtaining a cross-sectional image of the electrode structure of the battery; Determining a cross-sectional contour between the electrode region and the electrolyte region in the cross-sectional image; Determining the geometric solution domain according to the cross-sectional contour.

9. A dendrite growth morphology determination device, characterized in that The device includes: A first determination module, configured to determine an initial potential distribution according to the target physical property parameters of the battery, the first dendrite growth morphology distribution, the first lithium ion concentration distribution, and the first potential distribution on the geometric solution domain of the battery at the current moment; A second determination module, configured to determine a reaction current corresponding to the initial potential distribution according to the initial potential distribution, the first dendrite growth morphology distribution, and the first lithium ion concentration distribution; A third determination module, configured to determine a second dendrite growth morphology distribution on the geometric solution domain at the next moment according to the reaction current and the target physical property parameters.

10. A computer device, comprising a memory and a processor, the memory storing a computer program, characterized in that, When the processor executes the computer program, the steps of the method according to any one of claims 1 to 8 are implemented.

11. 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 according to any one of claims 1 to 8 are implemented.

12. A computer program product comprising a computer program, characterized in that, When this computer program is executed by a processor, the steps of the method according to any one of claims 1 to 8 are implemented.

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