Fault early warning method, device and equipment for solid-state battery
By subdividing solid-state batteries and discretizing the P2D control equations, accurate simulation and fault warning of the internal electrochemical process of solid-state batteries are achieved, the problem of fault warning of solid-state batteries is solved, and the safety management and design optimization capabilities of the battery are improved.
Patent Information
- Application Number
- CN202411337387.X
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2024-09-24
- Publication Date
- 2025-03-07
Smart Images
Figure CN119577302A_ABST
Abstract
Description
Technical Field
[0001] The present application relates to the field of battery detection technology, and in particular to a fault warning method, device and equipment for solid-state batteries. Background Art
[0002] Solid-state battery technology is a new type of battery technology that has higher energy density, longer cycle life, faster charge and discharge rate, and better safety than traditional liquid batteries. A solid-state battery is a battery that does not contain a liquid electrolyte. Its electrolyte is usually a solid material, such as a solid polymer or solid ceramic. This design can improve the stability and safety of the battery.
[0003] However, solid-state batteries also have safety issues caused by battery failures, so there is an urgent need in the art to provide an early warning method for solid-state battery failures. Summary of the invention
[0004] The purpose of this application is to provide a fault warning method, device and equipment for solid-state batteries.
[0005] To achieve the above objectives, this application provides the following solutions:
[0006] In a first aspect, the present application provides a fault warning method for a solid-state battery, comprising:
[0007] Divide the solid-state battery into a negative electrode region, a separator region, and a positive electrode region;
[0008] Dividing the negative electrode region, the separator region and the positive electrode region into a plurality of calculation regions respectively;
[0009] Discretizing the P2D control equation on each of the computing units to obtain an algebraic equation for the solid-state battery;
[0010] Solving the algebraic equation to obtain microscopic physical quantities of the solid-state battery;
[0011] When the microscopic physical quantity meets the fault condition, fault warning information is output.
[0012] Optionally, the step of discretizing the P2D control equation on each of the computing units to obtain the algebraic equation of the solid-state battery includes:
[0013] For each computational cell the following algebraic equation is obtained:
[0014] The algebraic equation for the diffusion of lithium ions in the electrolyte is:
[0015] Algebraic equations for the diffusion of lithium ions in electrode particles;
[0016] Ohm's law algebraic equations for electrolytes;
[0017] Ohm's law algebraic equation for electrode particles;
[0018] Algebraic equations for conservation of charge;
[0019] Butler-Volmer algebraic equations for kinetics.
[0020] Optionally, the diffusion algebraic equation of the lithium ions in the electrolyte is as follows:
[0021]
[0022] Among them, c e is the lithium ion concentration in the electrolyte, t is the time;
[0023] The boundary condition of the algebraic equation for the diffusion of lithium ions in the electrolyte is expressed as follows:
[0024]
[0025] Where x is the thickness direction of the plate, is the effective diffusion coefficient of lithium ions in the cathode electrolyte, is the effective diffusion coefficient of lithium ions in the negative electrode electrolyte, x = 0 represents the junction between the leftmost end of the negative electrode and the negative electrode current collector, x = x n is the junction between the negative electrode and the separator, x = x sep is the boundary between the separator and the positive electrode, x = x p It is the interface between the positive electrode and the positive electrode current collector.
[0026] Optionally, the diffusion algebraic equation of the lithium ions in the electrode particles is as follows:
[0027]
[0028] Among them, c s is the lithium ion concentration in the electrode particles, r is the radius of the electrode particles, D s is the diffusion coefficient of lithium ions in the electrode particles, and t is the time;
[0029] The boundary condition expression of the algebraic equation for the diffusion of lithium ions in the electrode particles is as follows:
[0030]
[0031] Among them, R s is the electrode particle radius, j r is the lithium ion flux density at the interface between electrolyte and electrode particles.
[0032] Optionally, the algebraic formula of Ohm's law for electrolyte in the solid-state battery is as follows:
[0033]
[0034] where κ eff is the effective ionic conductivity of the electrolyte, φ e is the electrolyte potential, i e is the electrolyte current density, x is the thickness direction of the electrode plate;
[0035] The boundary condition expression of the algebraic formula of Ohm's law for electrolyte in the solid-state battery is as follows:
[0036]
[0037] Where x = x n is the junction between the negative electrode and the separator, x = x sep It is the interface between the separator and the positive electrode.
[0038] Optionally, the algebraic formula of Ohm's law for electrode particles in the solid-state battery is as follows:
[0039]
[0040] where σ eff is the effective conductivity of the electrode particles, φ s is the electrode particle potential, i s is the current density of the electrode particles, and x is the thickness direction of the electrode plate;
[0041] The boundary condition expression of the algebraic formula of Ohm's law for electrode particles in the solid-state battery is as follows:
[0042]
[0043] Where i is the charge and discharge current density of the solid-state battery during operation, x = 0 represents the junction between the leftmost end of the negative electrode and the negative electrode current collector, and x = x n is the junction between the negative electrode and the separator, x = x sep is the boundary between the separator and the positive electrode, x = x p It is the interface between the positive electrode and the positive electrode current collector.
[0044] Optionally, the charge conservation algebraic equation of the solid-state battery is as follows:
[0045] i s +i e =i;
[0046]
[0047] Where a is the specific surface area of the electrode particles, is is the charge and discharge current density of the electrode particles when working, i e is the charge and discharge current density of the electrolyte during operation, F is the Faraday constant, j r is the lithium ion flux density at the interface between electrolyte and electrode particles;
[0048] The boundary condition expression of the charge conservation algebraic equation in the solid-state battery is as follows:
[0049]
[0050] Among them, x = 0 represents the junction between the leftmost end of the negative electrode and the negative electrode current collector, x = x n is the junction between the negative electrode and the separator, x = x sep is the boundary between the separator and the positive electrode, x = x p is the boundary between the positive electrode and the positive electrode current collector, and x is the thickness direction of the electrode plate.
[0051] Optionally, the Butler-Volmer kinetic algebraic equation of the solid-state battery is as follows:
[0052]
[0053] η=φ s -φ e -E OCV
[0054] Where i0 is the exchange current density, α a is the anode transfer coefficient and α c is the cathode transfer coefficient, η is the electrode particle surface overpotential, k s is the electrochemical reaction constant, c s,max is the maximum lithium ion concentration in the electrode particles, c surf is the lithium ion concentration at the interface between electrode particles and electrolyte, E OCV is the open circuit potential of the electrode material, φ s is the electrode particle potential, φ e is the electrolyte potential, j r is the lithium ion flux density at the interface between electrolyte and electrode particles, F is the Faraday constant, c e is the lithium ion concentration in the electrolyte, R is the gas constant, and T is the absolute temperature.
[0055] In a second aspect, the present application provides a fault warning device for a solid-state battery, comprising:
[0056] A processing module for dividing the solid-state battery into a negative electrode region, a separator region, and a positive electrode region;
[0057] Dividing the negative electrode region, the separator region and the positive electrode region into a plurality of calculation regions respectively;
[0058] Discretizing the P2D control equation on each of the computing units to obtain an algebraic equation for the solid-state battery;
[0059] Solving the algebraic equation to obtain microscopic physical quantities of the solid-state battery;
[0060] The early warning module is used to output fault early warning information when the microscopic physical quantity meets the fault condition.
[0061] Optionally, the processing module is further used to:
[0062] For each computational cell the following algebraic equation is obtained:
[0063] The algebraic equation for the diffusion of lithium ions in the electrolyte is:
[0064] Algebraic equations for the diffusion of lithium ions in electrode particles;
[0065] Ohm's law algebraic equations for electrolytes;
[0066] Ohm's law algebraic equation for electrode particles;
[0067] Algebraic equations for conservation of charge;
[0068] Butler-Volmer algebraic equations for kinetics.
[0069] Optionally, the diffusion algebraic equation of the lithium ions in the electrolyte is as follows:
[0070]
[0071] Among them, c e is the lithium ion concentration in the electrolyte, t is the time;
[0072] The boundary condition of the algebraic equation for the diffusion of lithium ions in the electrolyte is expressed as follows:
[0073]
[0074] Where x is the thickness direction of the plate, is the effective diffusion coefficient of lithium ions in the cathode electrolyte, is the effective diffusion coefficient of lithium ions in the negative electrode electrolyte, x = 0 represents the junction between the leftmost end of the negative electrode and the negative electrode current collector, x = x n is the junction between the negative electrode and the separator, x = x sep is the boundary between the separator and the positive electrode, x = x p It is the interface between the positive electrode and the positive electrode current collector.
[0075] Optionally, the diffusion algebraic equation of the lithium ions in the electrode particles is as follows:
[0076]
[0077] Among them, c s is the lithium ion concentration in the electrode particles, r is the radius of the electrode particles, D s is the diffusion coefficient of lithium ions in the electrode particles, and t is the time;
[0078] The boundary condition expression of the algebraic equation for the diffusion of lithium ions in the electrode particles is as follows:
[0079]
[0080] Among them, R s is the electrode particle radius, j r is the lithium ion flux density at the interface between electrolyte and electrode particles.
[0081] Optionally, the algebraic formula of Ohm's law for electrolyte in the solid-state battery is as follows:
[0082]
[0083] where κ eff is the effective ionic conductivity of the electrolyte, φ e is the electrolyte potential, i e is the electrolyte current density, x is the thickness direction of the electrode plate;
[0084] The boundary condition expression of the algebraic formula of Ohm's law for electrolyte in the solid-state battery is as follows:
[0085]
[0086] Where x = x n is the junction between the negative electrode and the separator, x = x sep It is the interface between the separator and the positive electrode.
[0087] Optionally, the algebraic formula of Ohm's law for electrode particles in the solid-state battery is as follows:
[0088]
[0089] where σ eff is the effective conductivity of the electrode particles, φ s is the electrode particle potential, i s is the current density of the electrode particles, and x is the thickness direction of the electrode plate;
[0090] The boundary condition expression of the algebraic formula of Ohm's law for electrode particles in the solid-state battery is as follows:
[0091]
[0092] Where i is the charge and discharge current density of the solid-state battery during operation, x = 0 represents the junction between the leftmost end of the negative electrode and the negative electrode current collector, and x = x n is the junction between the negative electrode and the separator, x = x sep is the boundary between the separator and the positive electrode, x = x p It is the interface between the positive electrode and the positive electrode current collector.
[0093] Optionally, the charge conservation algebraic equation of the solid-state battery is as follows:
[0094] i s +i e =i;
[0095]
[0096] Where a is the specific surface area of the electrode particles, i s is the charge and discharge current density of the electrode particles when working, i e is the charge and discharge current density of the electrolyte during operation, F is the Faraday constant, j r is the lithium ion flux density at the interface between electrolyte and electrode particles;
[0097] The boundary condition expression of the charge conservation algebraic equation in the solid-state battery is as follows:
[0098]
[0099] Among them, x = 0 represents the junction between the leftmost end of the negative electrode and the negative electrode current collector, x = x n is the junction between the negative electrode and the separator, x = x sep is the boundary between the separator and the positive electrode, x = x p is the boundary between the positive electrode and the positive electrode current collector, and x is the thickness direction of the electrode plate.
[0100] Optionally, the Butler-Volmer kinetic algebraic equation of the solid-state battery is as follows:
[0101]
[0102]
[0103] η=φ s -φ e -E OCV
[0104] Where i0 is the exchange current density, α a is the anode transfer coefficient and α c is the cathode transfer coefficient, η is the electrode particle surface overpotential, k s is the electrochemical reaction constant, c s,max is the maximum lithium ion concentration in the electrode particles, c surf is the lithium ion concentration at the interface between electrode particles and electrolyte, E OCV is the open circuit potential of the electrode material, φ s is the electrode particle potential, φ e is the electrolyte potential, j r is the lithium ion flux density at the interface between electrolyte and electrode particles, F is the Faraday constant, c e is the lithium ion concentration in the electrolyte, R is the gas constant, and T is the absolute temperature.
[0105] In a third aspect, the present application provides a computer device comprising: a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the computer program to implement the steps of any of the above-mentioned solid-state battery fault warning methods.
[0106] In a fourth aspect, the present application provides a computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the steps of any of the above-mentioned solid-state battery fault warning methods.
[0107] In a fifth aspect, the present application provides a computer program product, including a computer program, which, when executed by a processor, implements the steps of any of the above-mentioned solid-state battery fault warning methods.
[0108] According to the specific embodiments provided in this application, this application discloses the following technical effects:
[0109] The present application provides a fault warning method, device and equipment for solid-state batteries. Through mathematical modeling and simulation technology, accurate simulation and fault warning of the internal electrochemical process of solid-state batteries are achieved, providing strong support for the design, optimization and safety management of solid-state batteries. BRIEF DESCRIPTION OF THE DRAWINGS
[0110] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings required for use in the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.
[0111] Figure 1A schematic diagram of a process flow of a solid-state battery fault warning method provided in one embodiment of the present application;
[0112] Figure 2 A schematic diagram of functional modules of a fault warning device for a solid-state battery provided in one embodiment of the present application;
[0113] Figure 3 A schematic diagram of the structure of a computer device provided in one embodiment of the present application. DETAILED DESCRIPTION
[0114] The following will be combined with the drawings in the embodiments of the present application to clearly and completely describe the technical solutions in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of this application.
[0115] like Figure 1 As shown, some embodiments of the present application provide a fault warning method for a solid-state battery, which includes the following steps 101 to 104. Among them:
[0116] Step 101, dividing the solid-state battery into a negative electrode region, a separator region, and a positive electrode region;
[0117] In the embodiment of the present application, the physical structure of the solid-state battery is partitioned for subsequent numerical calculations. The solid-state battery is mainly composed of a negative electrode, a separator and a positive electrode. The negative electrode is the source of lithium ions when the battery is discharged, the positive electrode is the destination for lithium ions to be embedded, and the separator is located between the two, which plays the role of isolating the positive and negative electrodes and allowing lithium ions to pass through.
[0118] Step 102, dividing the negative electrode region, the diaphragm region and the positive electrode region into a plurality of calculation regions respectively;
[0119] In the embodiment of the present application, in order to more accurately simulate the electrochemical process inside the solid-state battery, each area (negative electrode, diaphragm, positive electrode) needs to be further subdivided into multiple smaller calculation areas (or called calculation units). These calculation areas can be evenly divided or unevenly divided according to actual conditions. The finer the division, the higher the calculation accuracy, but the corresponding amount of calculation will also increase.
[0120] Step 103, discretizing the P2D control equation on each of the computing units to obtain an algebraic equation of the solid-state battery;
[0121] In the embodiment of the present application, the P2D (Pseudo-Two-Dimensional) model is a commonly used lithium-ion battery kinetic modeling method, which takes into account the diffusion, migration and electrochemical reaction process of lithium ions inside the battery. The control equations of the P2D model (such as the diffusion equation of lithium ions in the electrolyte, the diffusion equation in the electrode particles, Ohm's law for electrolytes, Ohm's law for electrode particles, the charge conservation equation and the Butler-Volmer kinetic equation, etc.) need to be discretized on each computing unit. Discretization is the process of converting continuous partial differential equations into discrete algebraic equations so that they can be solved by computers.
[0122] Step 104, solving the algebraic equation to obtain microscopic physical quantities of the solid-state battery;
[0123] In the embodiments of the present application, by solving the discretized algebraic equations, the microscopic physical quantities of the solid-state battery under various working conditions can be obtained, such as electrolyte lithium ion concentration, electrode particle lithium ion concentration, electrolyte potential, electrode particle potential, etc. These microscopic physical quantities reflect the electrochemical state inside the battery and are of great significance for understanding the working mechanism of the battery and optimizing the battery design.
[0124] Step 105: when the microscopic physical quantity meets the fault condition, output fault warning information.
[0125] In the embodiment of the present application, after obtaining the microscopic physical quantities of the solid-state battery, it is necessary to compare these physical quantities with pre-set thresholds. If one or some physical quantities exceed the set threshold, it means that the battery may have a fault or is about to fail (such as excessive electrolyte lithium ion concentration may cause dendrite growth). At this time, it is necessary to output fault warning information so that timely measures can be taken to prevent the occurrence or expansion of the fault.
[0126] The embodiments of the present application achieve accurate simulation of the electrochemical processes inside solid-state batteries and fault warning through mathematical modeling and simulation technology, providing strong support for the design, optimization and safety management of solid-state batteries.
[0127] Optionally, the step 103 includes: obtaining the following algebraic equation for each computing unit:
[0128] The algebraic equation for the diffusion of lithium ions in the electrolyte is:
[0129] Algebraic equations for the diffusion of lithium ions in electrode particles;
[0130] Ohm's law algebraic equations for electrolytes;
[0131] Ohm's law algebraic equation for electrode particles;
[0132] Algebraic equations for conservation of charge;
[0133] Butler-Volmer algebraic equations for kinetics.
[0134] Optionally, the diffusion algebraic equation of the lithium ions in the electrolyte is as follows:
[0135]
[0136] Among them, c e is the lithium ion concentration in the electrolyte, t is the time;
[0137] The boundary condition of the algebraic equation for the diffusion of lithium ions in the electrolyte is expressed as follows:
[0138]
[0139] Where x is the thickness direction of the plate, is the effective diffusion coefficient of lithium ions in the cathode electrolyte, is the effective diffusion coefficient of lithium ions in the negative electrode electrolyte, x = 0 represents the junction between the leftmost end of the negative electrode and the negative electrode current collector, x = x n is the junction between the negative electrode and the separator, x = x sep is the boundary between the separator and the positive electrode, x = x p It is the interface between the positive electrode and the positive electrode current collector.
[0140] Optionally, the diffusion algebraic equation of the lithium ions in the electrode particles is as follows:
[0141]
[0142] Among them, c s is the lithium ion concentration in the electrode particles, c s is the radius direction of the electrode particles, D s is the diffusion coefficient of lithium ions in the electrode particles, and t is the time;
[0143] The boundary condition expression of the algebraic equation for the diffusion of lithium ions in the electrode particles is as follows:
[0144]
[0145] Among them, R s is the electrode particle radius, j r is the lithium ion flux density at the interface between electrolyte and electrode particles.
[0146] Optionally, the algebraic formula of Ohm's law for electrolyte in the solid-state battery is as follows:
[0147]
[0148] Among them, κ eff is the effective ionic conductivity of the electrolyte, φ e is the electrolyte potential, i e is the electrolyte current density, x is the thickness direction of the electrode plate;
[0149] The boundary condition expression of the algebraic formula of Ohm's law for electrolyte in the solid-state battery is as follows:
[0150]
[0151] Where x = x n is the junction between the negative electrode and the separator, x = x sep It is the interface between the separator and the positive electrode.
[0152] Optionally, the algebraic formula of Ohm's law for electrode particles in the solid-state battery is as follows:
[0153]
[0154] Among them, σ eff is the effective conductivity of the electrode particles, φ s is the electrode particle potential, i s is the current density of the electrode particles, and x is the thickness direction of the electrode plate;
[0155] The boundary condition expression of the algebraic formula of Ohm's law for electrode particles in the solid-state battery is as follows:
[0156]
[0157] Where i is the charge and discharge current density of the solid-state battery during operation, x = 0 represents the junction between the leftmost end of the negative electrode and the negative electrode current collector, and x = x n is the junction between the negative electrode and the separator, x = x sep is the boundary between the separator and the positive electrode, x = x p It is the interface between the positive electrode and the positive electrode current collector.
[0158] Optionally, the charge conservation algebraic equation of the solid-state battery is as follows:
[0159] i s +i e =i;
[0160]
[0161] Where a is the specific surface area of the electrode particles, i s is the charge and discharge current density of the electrode particles when working, i e is the charge and discharge current density of the electrolyte during operation, F is the Faraday constant, j ris the lithium ion flux density at the interface between electrolyte and electrode particles;
[0162] The boundary condition expression of the charge conservation algebraic equation in the solid-state battery is as follows:
[0163]
[0164] Among them, x = 0 represents the junction between the leftmost end of the negative electrode and the negative electrode current collector, x = x n is the junction between the negative electrode and the separator, x = x sep is the boundary between the separator and the positive electrode, x = x p is the boundary between the positive electrode and the positive electrode current collector, and x is the thickness direction of the electrode plate.
[0165] Optionally, the Butler-Volmer kinetic algebraic equation of the solid-state battery is as follows:
[0166]
[0167] η=φ s -φ e -E OCV
[0168] Where i0 is the exchange current density, α a is the anode transfer coefficient and α c is the cathode transfer coefficient, η is the electrode particle surface overpotential, k s is the electrochemical reaction constant, c s,max is the maximum lithium ion concentration in the electrode particles, c surf is the lithium ion concentration at the interface between electrode particles and electrolyte, E OCV is the open circuit potential of the electrode material, φ s is the electrode particle potential, φ e is the electrolyte potential, j r is the lithium ion flux density at the interface between electrolyte and electrode particles, F is the Faraday constant, c e is the lithium ion concentration in the electrolyte, R is the gas constant, and T is the absolute temperature.
[0169] Based on the same inventive concept, the embodiment of the present application also provides a solid-state battery fault warning device for implementing the solid-state battery fault warning method involved above. The implementation scheme for solving the problem provided by the device is similar to the implementation scheme recorded in the above method, so the specific limitations in the embodiments of one or more solid-state battery fault warning devices provided below can refer to the limitations of the solid-state battery fault warning method above, and will not be repeated here.
[0170] In an exemplary embodiment, Figure 2As shown, a fault warning device 20 for a solid-state battery is provided, comprising:
[0171] A processing module 201 is used to divide the solid-state battery into a negative electrode region, a separator region and a positive electrode region;
[0172] Dividing the negative electrode region, the separator region and the positive electrode region into a plurality of calculation regions respectively;
[0173] Discretizing the P2D control equation on each of the computing units to obtain an algebraic equation for the solid-state battery;
[0174] Solving the algebraic equation to obtain microscopic physical quantities of the solid-state battery;
[0175] The early warning module 202 is used to output fault early warning information when the microscopic physical quantity meets the fault condition.
[0176] Optionally, the processing module 201 is further configured to:
[0177] For each computational cell the following algebraic equation is obtained:
[0178] The algebraic equation for the diffusion of lithium ions in the electrolyte is:
[0179] Algebraic equations for the diffusion of lithium ions in electrode particles;
[0180] Ohm's law algebraic equations for electrolytes;
[0181] Ohm's law algebraic equation for electrode particles;
[0182] Algebraic equations for conservation of charge;
[0183] Butler-Volmer algebraic equations for kinetics.
[0184] Optionally, the diffusion algebraic equation of the lithium ions in the electrolyte is as follows:
[0185]
[0186] Among them, c e is the lithium ion concentration in the electrolyte, t is the time;
[0187] The boundary condition of the algebraic equation for the diffusion of lithium ions in the electrolyte is expressed as follows:
[0188]
[0189] Where x is the thickness direction of the plate, is the effective diffusion coefficient of lithium ions in the cathode electrolyte, is the effective diffusion coefficient of lithium ions in the negative electrode electrolyte, x = 0 represents the junction between the leftmost end of the negative electrode and the negative electrode current collector, x = x n is the junction between the negative electrode and the separator, x = x sep is the boundary between the separator and the positive electrode, x = x p It is the interface between the positive electrode and the positive electrode current collector.
[0190] Optionally, the diffusion algebraic equation of the lithium ions in the electrode particles is as follows:
[0191]
[0192] Among them, c s is the lithium ion concentration in the electrode particles, r is the radius of the electrode particles, D s is the diffusion coefficient of lithium ions in the electrode particles, and t is the time;
[0193] The boundary condition expression of the algebraic equation for the diffusion of lithium ions in the electrode particles is as follows:
[0194]
[0195] Among them, R s is the electrode particle radius, j r is the lithium ion flux density at the interface between electrolyte and electrode particles.
[0196] Optionally, the algebraic formula of Ohm's law for electrolyte in the solid-state battery is as follows:
[0197]
[0198] where κ eff is the effective ionic conductivity of the electrolyte, φ e is the electrolyte potential, i e is the electrolyte current density, x is the thickness direction of the plate;
[0199] The boundary condition expression of the algebraic formula of Ohm's law for electrolyte in the solid-state battery is as follows:
[0200]
[0201] Where x = x n is the junction between the negative electrode and the separator, x = x sep It is the interface between the separator and the positive electrode.
[0202] Optionally, the algebraic formula of Ohm's law for electrode particles in the solid-state battery is as follows:
[0203]
[0204] where σ eff is the effective conductivity of the electrode particles, φ s is the electrode particle potential, i s is the current density of the electrode particles, and x is the thickness direction of the electrode plate;
[0205] The boundary condition expression of the algebraic formula of Ohm's law for electrode particles in the solid-state battery is as follows:
[0206]
[0207] Where i is the charge and discharge current density of the solid-state battery during operation, x = 0 represents the junction between the leftmost end of the negative electrode and the negative electrode current collector, and x = x n is the junction between the negative electrode and the separator, x = x sep is the boundary between the separator and the positive electrode, x = x p It is the interface between the positive electrode and the positive electrode current collector.
[0208] Optionally, the charge conservation algebraic equation of the solid-state battery is as follows:
[0209] i s +i e =i;
[0210]
[0211] Where a is the specific surface area of the electrode particles, i s is the charge and discharge current density of the electrode particles when working, i e is the charge and discharge current density of the electrolyte during operation, F is the Faraday constant, j r is the lithium ion flux density at the interface between electrolyte and electrode particles;
[0212] The boundary condition expression of the charge conservation algebraic equation in the solid-state battery is as follows:
[0213]
[0214] Among them, x = 0 represents the junction between the leftmost end of the negative electrode and the negative electrode current collector, x = x n is the junction between the negative electrode and the separator, x = x sep is the boundary between the separator and the positive electrode, x = x p is the boundary between the positive electrode and the positive electrode current collector, and x is the thickness direction of the electrode plate.
[0215] Optionally, the Butler-Volmer kinetic algebraic equation of the solid-state battery is as follows:
[0216]
[0217]
[0218] η=φ s -φ e -E OCV
[0219] Where i0 is the exchange current density, α a is the anode transfer coefficient and α c is the cathode transfer coefficient, η is the electrode particle surface overpotential, k s is the electrochemical reaction constant, c s,max is the maximum lithium ion concentration in the electrode particles, c surf is the lithium ion concentration at the interface between electrode particles and electrolyte, E OCV is the open circuit potential of the electrode material, φ s is the electrode particle potential, φ e is the electrolyte potential, j r is the lithium ion flux density at the interface between electrolyte and electrode particles, F is the Faraday constant, c e is the lithium ion concentration in the electrolyte, R is the gas constant, and T is the absolute temperature.
[0220] The embodiments of the present application achieve accurate simulation of the electrochemical processes inside solid-state batteries and fault warning through mathematical modeling and simulation technology, providing strong support for the design, optimization and safety management of solid-state batteries.
[0221] In an exemplary embodiment, a computer device is provided. The computer device may be a server or a terminal. The internal structure diagram thereof may be as follows: Figure 3 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. Among them, 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. Among them, 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 fault warning data of solid-state batteries. 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 fault warning method for a solid-state battery is implemented.
[0222] Those skilled in the art will understand that Figure 3The 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.
[0223] In an exemplary embodiment, a computer device is further provided, including a memory and a processor, wherein a computer program is stored in the memory, and the processor implements the steps in the above-mentioned method embodiments when executing the computer program.
[0224] In an exemplary embodiment, a computer-readable storage medium is provided, storing a computer program, and when the computer program is executed by a processor, the steps in the above method embodiments are implemented.
[0225] In an exemplary embodiment, a computer program product is provided, including a computer program, and when the computer program is executed by a processor, the steps in the above method embodiments are implemented.
[0226] It should be noted that the user information (including but not limited to user device information, user personal information, etc.) and data (including but not limited to data used for analysis, stored data, displayed data, etc.) involved in this application are all information and data authorized by the user or fully authorized by all parties, and the collection, use and processing of relevant data must comply with relevant regulations.
[0227] Those of ordinary skill in the art can understand that all or part of the processes in the above-mentioned embodiment methods can be completed by instructing the relevant hardware through a computer program, and the computer program can be stored in a non-volatile computer-readable storage medium. When the computer program is executed, it can include the processes of the embodiments of the above-mentioned methods. Among them, any reference to the memory, database or other medium used in the embodiments provided in the present application can include at least one of non-volatile and volatile memory. 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), magnetic 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 may be in various forms, such as static random access memory (SRAM) or dynamic random access memory (DRAM).
[0228] The database involved in each embodiment provided in this application may include at least one of a relational database and a non-relational database. The non-relational database may include a distributed database based on blockchain, etc., but is not limited thereto. The processor involved in each embodiment provided in this application may be a general-purpose processor, a central processing unit, a graphics processor, a digital signal processor, a programmable logic device, a data processing logic device based on quantum computing, etc., but is not limited thereto.
[0229] The technical features of the above embodiments may be combined arbitrarily. To make the description concise, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.
[0230] This article uses specific examples to illustrate the principles and implementation methods of this application. The description of the above embodiments is only used to help understand the method and core ideas of this application. At the same time, for those skilled in the art, according to the ideas of this application, there will be changes in the specific implementation methods and application scope. In summary, the content of this specification should not be understood as limiting this application.
Claims
1. A fault warning method for a solid-state battery, characterized in that: The fault warning method of the solid-state battery comprises: Divide the solid-state battery into a negative electrode region, a separator region, and a positive electrode region; Dividing the negative electrode region, the separator region and the positive electrode region into a plurality of calculation regions respectively; Discretizing the P2D control equation on each of the computing units to obtain an algebraic equation for the solid-state battery; Solving the algebraic equation to obtain microscopic physical quantities of the solid-state battery; When the microscopic physical quantity meets the fault condition, fault warning information is output.
2. The solid-state battery fault warning method according to claim 1, characterized in that: The step of discretizing the P2D control equation on each of the computing units to obtain the algebraic equation of the solid-state battery comprises: For each computational cell the following algebraic equation is obtained: The algebraic equation for the diffusion of lithium ions in the electrolyte is: Algebraic equations for the diffusion of lithium ions in electrode particles; Ohm's law algebraic equations for electrolytes; Ohm's law algebraic equation for electrode particles; Algebraic equations for conservation of charge; Butler-Volmer algebraic equations for kinetics.
3. The solid-state battery fault warning method according to claim 2, characterized in that: The diffusion algebraic equation of the lithium ions in the electrolyte is as follows: Among them, c e is the lithium ion concentration in the electrolyte, t is the time; The boundary condition of the algebraic equation for the diffusion of lithium ions in the electrolyte is expressed as follows: Where x is the thickness direction of the plate, is the effective diffusion coefficient of lithium ions in the cathode electrolyte, is the effective diffusion coefficient of lithium ions in the negative electrode electrolyte, x = 0 represents the junction between the leftmost end of the negative electrode and the negative electrode current collector, x = x n is the junction between the negative electrode and the separator, x = x sep is the boundary between the separator and the positive electrode, x = x p It is the interface between the positive electrode and the positive electrode current collector.
4. The solid-state battery fault warning method according to claim 2, characterized in that: The diffusion algebraic equation of the lithium ions in the electrode particles is as follows: Among them, c s is the lithium ion concentration in the electrode particles, r is the radius of the electrode particles, D s is the diffusion coefficient of lithium ions in the electrode particles, and t is the time; The boundary condition expression of the algebraic equation for the diffusion of lithium ions in the electrode particles is as follows: Among them, R s is the electrode particle radius, j r is the lithium ion flux density at the interface between electrolyte and electrode particles.
5. The solid-state battery fault warning method according to claim 2, characterized in that: The algebraic formula of Ohm's law for electrolyte in the solid-state battery is as follows: where κ eff is the effective ionic conductivity of the electrolyte, φ e is the electrolyte potential, i e is the electrolyte current density, x is the thickness direction of the plate; The boundary condition expression of the algebraic formula of Ohm's law for electrolyte in the solid-state battery is as follows: Where x = x n is the junction between the negative electrode and the separator, x = x sep It is the interface between the separator and the positive electrode.
6. The solid-state battery fault warning method according to claim 2, characterized in that: The algebraic formula of Ohm's law for electrode particles in the solid-state battery is as follows: where σ eff is the effective conductivity of the electrode particles, φ s is the electrode particle potential, i s is the current density of the electrode particles, and x is the thickness direction of the electrode plate; The boundary condition expression of the algebraic formula of Ohm's law for electrode particles in the solid-state battery is as follows: Where i is the charge and discharge current density of the solid-state battery during operation, x = 0 represents the junction between the leftmost end of the negative electrode and the negative electrode current collector, and x = x n is the junction between the negative electrode and the separator, x = x sep is the boundary between the separator and the positive electrode, x = x p It is the interface between the positive electrode and the positive electrode current collector.
7. The solid-state battery fault warning method according to claim 2, characterized in that: The charge conservation algebraic equation of the solid-state battery is as follows: i s +i e =i; Where a is the specific surface area of the electrode particles, i s is the charge and discharge current density of the electrode particles when working, i e is the charge and discharge current density of the electrolyte during operation, F is the Faraday constant, j r is the lithium ion flux density at the interface between electrolyte and electrode particles; The boundary condition expression of the charge conservation algebraic equation in the solid-state battery is as follows: Among them, x = 0 represents the junction between the leftmost end of the negative electrode and the negative electrode current collector, x = x n is the junction between the negative electrode and the separator, x = x sep is the boundary between the separator and the positive electrode, x = x p is the boundary between the positive electrode and the positive electrode current collector, and x is the thickness direction of the electrode plate.
8. The solid-state battery fault warning method according to claim 2, characterized in that: The Butler-Volmer kinetic algebraic equation of the solid-state battery is as follows: h=φ s -f e -E OCV Where i0 is the exchange current density, α a is the anode transfer coefficient and α c is the cathode transfer coefficient, η is the electrode particle surface overpotential, k s is the electrochemical reaction constant, c s,max is the maximum lithium ion concentration in the electrode particles, c surf is the lithium ion concentration at the interface between electrode particles and electrolyte, E OCV is the open circuit potential of the electrode material, φ s is the electrode particle potential, φ e is the electrolyte potential, j r is the lithium ion flux density at the interface between electrolyte and electrode particles, F is the Faraday constant, c e is the lithium ion concentration in the electrolyte, R is the gas constant, and T is the absolute temperature.
9. A fault warning device for a solid-state battery, characterized in that: The fault warning device of the solid-state battery comprises: A processing module for dividing the solid-state battery into a negative electrode region, a separator region, and a positive electrode region; Dividing the negative electrode region, the separator region and the positive electrode region into a plurality of calculation regions respectively; Discretizing the P2D control equation on each of the computing units to obtain an algebraic equation for the solid-state battery; Solving the algebraic equation to obtain microscopic physical quantities of the solid-state battery; The early warning module is used to output fault early warning information when the microscopic physical quantity meets the fault condition.
10. A computer device comprising: A memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the computer program to implement the steps of the fault warning method for a solid-state battery according to any one of claims 1 to 8.