Method for predicting service life of composite electrode battery

Abstract

The invention provides a combined electrode battery life prediction method, which comprises the following steps: a combined electrode battery life model is established, a positive electrode in the combined electrode battery life prediction model is composed of N single electrode materials, a negative electrode is composed of M single electrode materials, N is greater than or equal to 1, M is greater than or equal to 1, and N + M is greater than or equal to 3; the electrochemical reaction process and attenuation mechanism of each single material in the model are described by independent mathematical equations, and the equations are coupled through liquid phase potential, solid phase potential and lithium ion concentration; and obtaining and inputting material characteristic parameters, attenuation mechanism mathematical equation parameters, battery design parameters, electrode design parameters and working conditions of each single electrode material in the to-be-predicted battery to obtain a life prediction result of the to-be-predicted battery. The method further comprises the steps of obtaining material characteristic parameters and attenuation mechanism equation parameters of a single electrode material in the to-be-predicted battery based on the reference battery, and transferring the material characteristic parameters and the attenuation mechanism equation parameters to the combined electrode battery service life prediction model to improve the prediction accuracy of the combined electrode battery model.

Description

Technical Field

[0001] The present invention relates to the technical field of batteries, and in particular to a method for predicting the life of a composite electrode battery. Background Art

[0002] In order to obtain better comprehensive battery performance, during the battery development process, materials with different electrochemical properties such as silicon and carbon materials in the negative electrode, lithium iron manganese phosphate, lithium iron phosphate, ternary, lithium-rich manganese and other materials in the positive electrode are often mixed in the same electrode to obtain better electrode and battery performance.

[0003] In the prior art, there is no effective life prediction method for batteries made of composite electrode materials. Traditional experimental methods are used to test the life of batteries made of composite electrode materials, thereby guiding battery design to optimize battery performance and life. This method leads to low efficiency and high cost in the research and design of batteries made of composite electrode materials. Summary of the invention

[0004] The present invention provides a composite electrode battery life prediction method, which is used to solve the defect of high research and design costs of composite electrode material batteries in the prior art, and achieves the reduction of the research and design costs of composite electrode batteries.

[0005] The present invention provides a composite electrode battery life prediction method, comprising: Establishing a composite electrode battery life prediction model, wherein the positive electrode of the battery is composed of N single electrode materials, and the negative electrode is composed of M single electrode materials, N≥1, M≥1, and N+M≥3, and the electrochemical reaction process and life attenuation mechanism of each single electrode material in the positive electrode and the negative electrode in the composite electrode battery life prediction model are described by independent mathematical equations, and the mathematical equations are coupled through the electrode solid phase potential and the liquid phase potential; The material characteristic parameters and attenuation mechanism mathematical equation parameters required by the electrochemical reaction equations of each single electrode material in the battery to be predicted, the battery design parameters to be predicted, the electrode design parameters and the operating conditions to be predicted are obtained and input into the composite electrode battery life prediction model to obtain the life prediction result of the battery to be predicted.

[0006] According to a composite electrode battery life prediction method provided by the present invention, the material characteristic parameters and attenuation mechanism mathematical equation parameters required for the electrochemical reaction equation of each single electrode material in the battery to be predicted are obtained, including: Based on the reference battery, material characteristic parameters and attenuation mechanism equation parameters of a single electrode material in the composite electrode of the battery to be predicted are obtained, wherein the materials of the two electrodes of the reference battery are the single electrode material and the reference electrode material in the battery to be predicted, respectively, and the attenuation mechanism equation parameters are parameters in the attenuation mechanism mathematical equation, and the attenuation mechanism mathematical equation reflects the battery attenuation caused by the side reactions of the material system; Migrating the material characteristic parameters of the single electrode material included in the positive and negative electrode composite materials of the battery to be predicted and the attenuation mechanism equation parameters to the composite electrode battery life prediction model; The reference electrode material is a lithium iron phosphate positive electrode material, a graphite negative electrode material or a low-nickel ternary positive electrode material.

[0007] According to a composite electrode battery life prediction method provided by the present invention, the composite electrode battery life prediction model is a model obtained by adding the interaction equations between different single materials in the same electrode on the basis of the Newman model, and further coupling the electrode potential, lithium ion concentration, reaction heat generation and material attenuation mechanism mathematical equations in the electrochemical reaction process of the material; In the composite electrode battery life prediction model, the electrochemical reaction process on the surface of each single electrode material in the same electrode is described by the Butler-Volmer equation, the mutual influence between different materials is realized through the liquid phase potential, solid phase potential and material equilibrium potential, the polarization potential of each single electrode material is determined by its own open circuit voltage and surface resistance, different single electrode materials in the same electrode have the same liquid phase potential and solid phase potential at the same position, the interaction between single electrode materials is determined by the polarization potential, and the attenuation mechanism is described as a mathematical equation of the attenuation mechanism related to the electrode potential, lithium ion concentration and reaction heat generation during the electrochemical reaction process; The attenuation mechanism mathematical equation includes at least one of an equation describing a lithium precipitation side reaction, an equation describing a gas production side reaction, an equation describing a transition metal dissolution reaction, an equation describing a loss of active material caused by transition metal dissolution, an equation describing a change in radius of material particles caused by transition metal dissolution, an equation describing a growth in surface film resistance of material particles caused by transition metal dissolution, an equation describing a reaction current of a film-forming side reaction, an equation describing a rate at which side reaction products are generated by a film-forming side reaction, an equation describing a loss of battery capacity caused by a film-forming side reaction, an equation describing a change in surface film thickness caused by a film-forming side reaction, and an equation describing a change in motor porosity caused by a film-forming side reaction; The parameters in the composite electrode battery life prediction model include electrolyte parameters, electrode structure parameters, battery specification parameters, material characteristic parameters of each single electrode material, and attenuation mechanism mathematical equation parameters.

[0008] According to a composite electrode battery life prediction method provided by the present invention, the composite electrode battery life prediction model includes a battery total current equation, which is used to describe the relationship between the total battery current and the contribution current of each single electrode material. The contribution current of a single electrode material is the sum of the product of the particle surface area of ​​each particle of the single electrode material and the corresponding local current density; The electrode capacity in the composite electrode battery life prediction model is the sum of the capacities of each single electrode material in the corresponding SOC range.

[0009] According to a composite electrode battery life prediction method provided by the present invention, the material characteristic parameters and attenuation mechanism equation parameters of a single electrode material in the composite electrode of the battery to be predicted are obtained based on a reference battery, including: Determining material characteristic parameters of a single electrode material included in the reference battery based on a rate charge capacity-voltage-temperature rise curve, a rate discharge capacity-voltage-temperature rise curve, a battery charge capacity-voltage-temperature rise curve at different temperatures, and a battery discharge capacity-voltage-temperature rise curve at different temperatures of the reference battery; After determining the material characteristic parameters of the single electrode material, the attenuation mechanism equation parameters of the single electrode material are determined based on the cycle performance data of the reference battery under known operating conditions and the attenuation mechanism mathematical equation.

[0010] According to a composite electrode battery life prediction method provided by the present invention, the material characteristic parameters include: material solid phase reaction rate constant, solid phase reaction rate constant activation energy, material liquid phase conductivity activation energy, material liquid phase diffusion activation energy, positive and negative electrode materials open circuit voltage, solid phase diffusion coefficient, solid phase diffusion coefficient activation energy, exchange current density, material radius, density, maximum lithium ion concentration, operating voltage range, entropy thermal coefficient, thermal conductivity, specific heat capacity; material attenuation equation parameters refer to constants in the cyclic attenuation mechanism equation: exchange current density in gas production side reaction, exchange current density in lithium precipitation side reaction, dissolution rate constant in transition metal dissolution, activation energy in transition metal dissolution, membrane resistance in transition metal dissolution, and attenuation factor in passivation film side reaction.

[0011] The present invention also provides a composite electrode battery life prediction device, comprising: A model building module, used to establish a composite electrode battery life prediction model, wherein the positive electrode of the battery is composed of N single electrode materials, and the negative electrode is composed of M single electrode materials, N≥1, M≥1, and N+M≥3, and the electrochemical reaction process and life attenuation mechanism of each single electrode material in the positive electrode and the negative electrode in the composite electrode battery life prediction model are described by independent mathematical equations, and the mathematical equations are coupled through the electrode solid phase potential and the liquid phase potential; The life prediction module is used to obtain the material characteristic parameters and attenuation mechanism mathematical equation parameters required by the electrochemical reaction equations of each single electrode material in the battery to be predicted, the battery design parameters to be predicted, the electrode design parameters and the operating conditions, and input them into the composite electrode battery life prediction model to obtain the life prediction result of the battery to be predicted.

[0012] The present invention also provides an electronic device, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein when the processor executes the computer program, any of the above-mentioned composite electrode battery life prediction methods is implemented.

[0013] The present invention also provides a non-transitory computer-readable storage medium having a computer program stored thereon, and when the computer program is executed by a processor, the life prediction method of a composite electrode battery as described above is implemented.

[0014] The present invention also provides a computer program product, comprising a computer program, wherein when the computer program is executed by a processor, the life prediction method of a composite electrode battery as described above is implemented.

[0015] The composite electrode battery life prediction method provided by the present invention establishes a composite electrode battery life prediction model, wherein the positive electrode of the battery is composed of N single electrode materials, and the negative electrode is composed of M single electrode materials, N≥1, M≥1, and N+M≥3, and the electrochemical reaction process and life attenuation mechanism of each single electrode material in the positive electrode and the negative electrode in the composite electrode battery life prediction model are described by independent mathematical equations, and each mathematical equation is coupled through the electrode solid phase potential and the liquid phase potential, and the single electrode material included in the positive electrode composite material and the negative electrode composite material of the battery to be predicted is obtained, and the material characteristic parameters and the attenuation mechanism mathematical equation parameters of the single electrode material are obtained, and the material characteristic parameters and the attenuation mechanism mathematical equation parameters of all the single electrode materials included in the battery to be predicted are input into the composite electrode battery life prediction model corresponding to the battery to be predicted, and the life prediction result of the battery to be predicted is obtained, so that there is no need to conduct actual experiments after trial production of the battery to be predicted to obtain the life performance of the battery to be predicted, thereby reducing the cost of composite electrode battery research and design. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] In order to more clearly illustrate the technical solutions in the present invention or the prior art, a brief introduction will be given below to the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings described below are some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative work.

[0017] Figure 1 The process diagram of the composite electrode battery life prediction method provided by the present invention is as follows Figure 1 .

[0018] Figure 2 It is a schematic diagram of a composite electrode battery life model in the composite electrode battery life prediction method provided by the present invention.

[0019] Figure 3 The process diagram of the composite electrode battery life prediction method provided by the present invention is as follows Figure 2 .

[0020] Figure 4 The process diagram of the composite electrode battery life prediction method provided by the present invention is as follows Figure 3 .

[0021] Figure 5 The process diagram of the composite electrode battery life prediction method provided by the present invention is as follows Figure 4 .

[0022] Figure 6 The process diagram of the composite electrode battery life prediction method provided by the present invention is as follows Figure 5 .

[0023] Figure 7 It is a structural schematic diagram of the composite electrode battery life prediction device provided by the present invention.

[0024] Figure 8 It is a structural schematic diagram of the electronic device provided by the present invention. DETAILED DESCRIPTION

[0025] In order to make the purpose, technical solution and advantages of the present invention clearer, the technical solution of the present invention will be clearly and completely described below in conjunction with the drawings of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0026] Combine the following Figure 1-6 The composite electrode battery life prediction method provided by the present invention is described. Figure 1 As shown, the composite electrode battery life prediction method includes the steps of: S110. Establish a composite electrode battery life prediction model, in which the positive electrode of the battery is composed of N single electrode materials, and the negative electrode is composed of M single electrode materials, N≥1, M≥1, and N+M≥3. In the composite electrode battery life prediction model, the electrochemical reaction process and life attenuation mechanism of each single electrode material in the positive and negative electrodes are described by independent mathematical equations, and the mathematical equations are coupled through the electrode solid phase potential and liquid phase potential. S120, obtaining the material characteristic parameters and attenuation mechanism mathematical equation parameters required by the electrochemical reaction equations of each single electrode material in the battery to be predicted, the battery design parameters to be predicted, the electrode design parameters and the operating conditions to be predicted, and inputting them into the composite electrode battery life prediction model to obtain the life prediction result of the battery to be predicted.

[0027] For the same material, the parameters related to battery attenuation are the same. In the method provided by the present invention, a composite electrode battery life prediction model is constructed. For a composite electrode battery including multiple single electrode materials, the parameters related to battery attenuation are obtained for each single electrode material included therein, including material characteristic parameters and attenuation mechanism mathematical equation parameters. These parameters of each single electrode material and the battery design parameters to be predicted, electrode design parameters, and operating conditions are input into the composite electrode battery life prediction model, and the life of the battery to be predicted is predicted based on the model.

[0028] The composite electrode battery life prediction model is based on the Newman model, adding the interaction equations between different single materials in the same electrode, and further coupling the electrode potential, lithium ion concentration, reaction heat generation and material attenuation mechanism mathematical equations in the electrochemical reaction process of the material to obtain the model. Figure 2 As shown, the parameters of the composite electrode battery life prediction model include electrolyte parameters, electrode structure parameters, battery specification parameters, material characteristic parameters of each single electrode material, and attenuation mechanism mathematical equation parameters. The attenuation mechanism mathematical equation included in the composite electrode battery life prediction model describes the particle-level attenuation mechanism of each single electrode material. The particle-level attenuation mechanism of each single electrode material can be described independently. For a composite electrode battery composed of different single electrode materials, the material characteristic parameters and attenuation mechanism mathematical equation parameters of the single electrode materials included can be transferred to the composite electrode battery life prediction model to perform electrochemical performance simulation and life prediction evaluation, so as to accurately predict the electrochemical performance of composite electrode batteries containing multiple positive / negative electrodes, provide method support for the development and performance optimization of composite electrode batteries, improve efficiency, and reduce costs.

[0029] In the composite electrode battery life prediction model, all single electrode materials have independent electrochemical reaction processes and attenuation mechanisms. The electrochemical reaction process on the surface of each single electrode material is described by the Butler-Volmer equation. The interactions between various materials affect each other through the liquid environment, solid phase potential, and equilibrium potential. The capacity in the composite electrode is the sum of the capacities of each material. The mathematical equation of the attenuation mechanism is used to describe the numerical equations related to liquid phase potential, solid phase potential, polarization potential, temperature, lithium ion concentration, etc. The polarization potential of each single electrode material is determined by its own open circuit voltage and surface resistance. Different single electrode materials in the same electrode have the same liquid phase potential and solid phase potential at the same position. The interaction between single electrode materials is determined by the polarization potential. The attenuation mechanism is described as a mathematical equation closely related to the electrode potential, lithium ion concentration, reaction heat generation, etc. during the electrochemical reaction process.

[0030] Specifically, in the composite electrode battery life prediction model, the electrochemical reaction rate on the surface of a single electrode material particle follows the equation: ,in, is the local current density of particle i, is the exchange current density of particle i, , represents the anode transfer coefficient, is the Faraday constant, is the electrode polarization potential, is the gas constant, Indicates temperature, represents the cathode transfer coefficient, is the electrolyte concentration, is the intrinsic reference concentration of the electrolyte, is the lithium ion concentration on the particle surface, From the solid phase diffusion equation and surface reaction rate Joint decision, t represents time, is the solid phase diffusion coefficient of the material particles, is the mathematical symbol for gradient, is the solid phase lithium ion concentration, Represents the maximum value of surface lithium ion concentration. The electrode polarization potential of different materials is determined by their respective open circuit voltage and surface resistance, and can be described as ,in, is the liquid phase potential, is the solid phase potential, is the surface membrane potential drop of solid material particles, is the open circuit voltage of the solid phase material particles. The difference in reaction rate between materials is determined by the polarization potential.

[0031] The composite electrode battery life prediction model includes the battery total current equation, which is used to describe the relationship between the total battery current and the contribution current of each single electrode material. The contribution current of a single electrode material is the sum of the product of the particle surface area of ​​each particle of the single electrode material and the corresponding local current density.

[0032] Specifically, the total current in the load electrode battery life prediction model satisfies the equation: ; in, and are the liquid phase current and the solid phase current respectively, F is the Faraday constant, represents the surface area of ​​particle i in the nth single electrode material of the negative electrode, represents the local current density of particle i in the nth single electrode material of the negative electrode, represents the surface area of ​​particle i in the nth single electrode material of the positive electrode, represents the local current density of particle i in the nth single electrode material of the positive electrode.

[0033] The electrode capacity in the composite electrode battery life prediction model is the sum of the capacities of each single electrode material in the corresponding SOC range. Specifically, different materials correspond to different SOC (State of Charge) ranges within the same solid phase potential range, and the capacity of the electrode is described by the following formula: ; in, represents the electrode capacity, represents the thickness of the electrode, represents the area of ​​the battery, F is the Faraday constant, represents the volume fraction of the nth single electrode material in the electrode, and They represent the SOC of the nth single electrode material in the maximum lithium insertion state and the minimum lithium insertion state, respectively. Represents the maximum lithium ion concentration of the nth single electrode material.

[0034] The same materials share parameters related to battery attenuation, including material characteristic parameters and attenuation mechanism mathematical equation parameters. The material characteristic parameters and attenuation mechanism mathematical equation parameters of a single electrode material are determined through existing batteries including electrodes of a single electrode material. These parameters are used as migration parameters and migrated to the composite electrode battery life prediction model. At the same time, the electrode structure parameters, battery specification parameters and electrolyte parameters in the composite electrode battery life prediction model are modified to obtain a battery life prediction model suitable for the battery to be predicted. Electrode structure parameters include current collector thickness, electrode ratio, electrode thickness, porosity, and tortuosity factor; battery specification parameters include battery length, width, height, tab position, positive and negative electrode size, and number of electrode stacks. Electrolyte parameters may include the conductivity and liquid phase diffusion coefficient of the electrolyte system.

[0035] The material characteristic parameters include open circuit voltage, entropy thermal coefficient, kinetic parameters, solid phase diffusion coefficient, exchange current density and activation energy related to temperature. Specifically, they may include: material solid phase reaction rate constant, solid phase reaction rate constant activation energy, material liquid phase conductivity activation energy, material liquid phase diffusion activation energy, positive and negative electrode materials open circuit voltage, solid phase diffusion coefficient, solid phase diffusion coefficient activation energy, exchange current density, material radius, density, maximum lithium ion concentration, working voltage range, entropy thermal coefficient, thermal conductivity, specific heat capacity, thickness, density and porosity of diaphragm materials. The parameters of the mathematical equation of the attenuation mechanism are the constants of the mathematical equation of the attenuation mechanism, including the exchange current density in the gas production side reaction, the exchange current density in the lithium precipitation side reaction, the dissolution rate constant in the transition metal dissolution, the activation energy in the transition metal dissolution, the membrane resistance in the transition metal dissolution, and the attenuation factor in the passivation film side reaction. The attenuation factors in the passivation film side reaction include the electrode expansion factor, the battery aging factor, etc.

[0036] During the operation of the battery, the life attenuation mechanism is a side reaction generated during the operation of the battery, including material fragmentation, electrolyte decomposition, electrode surface passivation film, transition metal dissolution, lithium precipitation, gas production, etc. In the method provided by the present invention, a mathematical equation of the attenuation mechanism is constructed to describe the life attenuation mechanism of the battery. On the basis of the Newman model, the battery structure and heat generation are coupled, and the electrode potential, lithium ion concentration, reaction heat generation and attenuation mechanism mathematical equation in the electrochemical reaction process are further coupled to obtain a load electrode battery life prediction model, thereby achieving an accurate prediction of the battery life. Specifically, the Newman model is a mathematical model for describing the electrochemical and transmission processes inside lithium-ion batteries. The model is based on the positive and negative electrodes of the battery, and describes key parameters such as the current, voltage and lithium ion concentration distribution inside the battery through a set of partial differential equations. The Newman model can describe the electrochemical reaction of the battery. In the method provided by the present invention, the actual attenuation of the battery under actual working conditions is described by the attenuation mechanism mathematical equation. By coupling with the Newman model, the actual consumption of the electrochemical reaction of the battery under actual working conditions can be described, thereby obtaining the battery life prediction result.

[0037] Specifically, in the method provided by the present invention, the mathematical equation of the attenuation mechanism includes at least one of an equation describing the lithium precipitation side reaction, an equation describing the gas production side reaction, an equation describing the transition metal dissolution reaction, an equation describing the loss of active substances caused by the transition metal dissolution, an equation describing the change in radius of material particles caused by the transition metal dissolution, an equation describing the growth of surface film resistance of material particles caused by the transition metal dissolution, an equation describing the reaction current of the film-forming side reaction, an equation describing the rate at which side reaction products are generated by the film-forming side reaction, an equation describing the loss of battery capacity caused by the film-forming side reaction, an equation describing the change in surface film thickness caused by the film-forming side reaction, and an equation describing the change in motor porosity caused by the film-forming side reaction.

[0038] Among them, the equation describing the lithium precipitation side reaction is: , represents the current of the lithium deposition side reaction, represents the exchange current density in the lithium deposition side reaction, represents the anode transfer coefficient, is the Faraday constant, is the electrode polarization potential, is the gas constant, Indicates temperature, represents the cathode transfer coefficient.

[0039] The equation describing the gas production side reaction is: , represents the gas production side reaction current, represents the exchange current density in the gas production side reaction, Represents the anode Tafel slope.

[0040] The equation describing the transition metal dissolution reaction is: , represents the transition metal dissolution ratio, represents the Mn dissolution reaction rate constant, represents the activation energy of transition metal dissolution.

[0041] The equation describing the loss of active material due to transition metal dissolution is: , represents the volume fraction of active substance loss, Table 2 Initial volume fraction of active substances.

[0042] The equation describing the change in the radius of the material particles caused by the dissolution of the transition metal is: , where the particle radius of the effective active material is: , represents the initial main material particle radius, Indicates the radius of the main material particles after the change.

[0043] The equation describing the increase in film resistance on the surface of material particles caused by the dissolution of transition metals is: , represents the positive electrode surface film resistance, represents the initial positive electrode surface film resistance, Represents the resistivity of the positive electrode inactive film.

[0044] The equation describing the reaction current of the film-forming side reaction is: , represents the negative electrode SEI reaction current, represents the SEI repair ratio, represents the electrode expansion factor, represents the dimensionless exchange current, represents the frequency parameter, represents the local reaction current density, represents the transfer coefficient, represents the SEI polarization potential, Indicates the amount of SEI generated.

[0045] The equation describing the rate of the formation of side reaction products by the film-forming side reaction is: , represents the concentration of SEI film substances, Indicates time, represents the stoichiometric coefficient of the SEI film, and n represents the number of participating electrons.

[0046] The equation describing the battery capacity loss caused by the film formation side reaction is: , represents the amount of SEI generated, Represents the surface area of ​​the negative electrode.

[0047] The equation describing the change in surface film thickness caused by the film-forming side reaction is: , represents the thickness of the negative electrode SEI film, represents the SEI film molar mass, represents the negative electrode surface area, Represents the thickness of the negative electrode SEI film.

[0048] The equation describing the change in the porosity of the motor caused by the film-forming side reaction is: , Indicates the real-time porosity of the electrode, represents the initial porosity of the electrode.

[0049] In a possible implementation, the material characteristic parameters of a single electrode material and the parameters of the mathematical equation of the attenuation mechanism can be obtained by searching literature, etc. In order to improve the accuracy of the prediction results of the composite electrode battery life, in another possible implementation of the method provided by the present invention, the material characteristic parameters of each single electrode material in the battery to be predicted and the parameters of the mathematical equation of the attenuation mechanism are obtained, including: Based on the reference battery, material characteristic parameters of a single electrode material in the battery to be predicted and parameters of a mathematical equation of an attenuation mechanism are obtained, wherein the materials of the two electrodes of the reference battery are the single electrode material in the battery to be predicted and the reference electrode material, respectively. The parameters of the mathematical equation of the attenuation mechanism are parameters in the mathematical equation of the attenuation mechanism, and the mathematical equation of the attenuation mechanism reflects the battery attenuation caused by the side reactions of the battery. The material characteristic parameters of the single electrode material included in the positive and negative electrode composite materials of the battery to be predicted and the attenuation mechanism equation parameters are transferred to the composite electrode battery life prediction model.

[0050] Based on the reference battery, the material characteristic parameters of a single electrode material and the mathematical equation parameters of the attenuation mechanism are obtained, including: Determining material characteristic parameters of a single electrode material included in the reference battery based on a rate charge capacity-voltage-temperature rise curve, a rate discharge capacity-voltage-temperature rise curve, a battery charge capacity-voltage-temperature rise curve at different temperatures, and a battery discharge capacity-voltage-temperature rise curve at different temperatures of the reference battery; After determining the material characteristic parameters of the single electrode material, the mathematical equation parameters of the attenuation mechanism of the single electrode material are determined based on the cycle performance data of a reference battery under known operating conditions and the mathematical equation of the attenuation mechanism.

[0051] In the method provided by the present invention, the material characteristic parameters of a single electrode material, i.e., kinetic-related parameters and activation energy, including the material solid phase diffusion coefficient, solid phase reaction rate constant, liquid phase conductivity activation energy, liquid phase diffusion activation energy, etc., are first corrected through the existing reference battery's rate charge capacity-voltage-temperature rise curve, rate discharge capacity-voltage-temperature rise curve, battery charge capacity-voltage-temperature rise curve and discharge capacity-voltage-temperature rise curve at different temperatures. On the basis of the completion of the correction of the material characteristic parameters, the parameters in the attenuation mechanism mathematical equation and the attenuation mechanism mathematical equation are further corrected according to the cycle performance of the reference battery under known working conditions, such as the exchange current density in the gas production side reaction. , Exchange current density in lithium deposition side reaction , the dissolution rate of transition metal dissolution is ,activation energy and film resistivity , attenuation factors K, J, f in the side reactions of the passivation film, etc. The operating conditions refer to the actual operating temperature and charge and discharge system of the battery. The charge and discharge system includes charging current, discharging current, charging cut-off voltage, charging cut-off current, and discharging cut-off voltage.

[0052] After obtaining the battery life model of the battery to be predicted, the operating temperature and cycle system can be input to perform life attenuation prediction and evaluation of the battery to be predicted.

[0053] The materials of the two electrodes of the reference battery are respectively a single electrode material in the battery to be predicted and a reference electrode material. That is to say, a conventional battery composed of a single electrode material in the battery to be predicted and another reference electrode material is used as a reference battery to verify the material characteristic parameters and the parameters of the mathematical equation of the attenuation mechanism.

[0054] The reference electrode material is a stable electrode material, that is, a conventional electrode with a simple and clear attenuation mechanism, such as lithium iron phosphate positive electrode material, graphite negative electrode material or low-nickel ternary positive electrode material.

[0055] In a possible implementation of the present invention, the specific implementation steps are: S1, based on the reference battery (positive electrode 1 / negative electrode 1), establish a first battery life model and verify the relevant material characteristic parameters and attenuation equations in the first life model using the performance of the reference battery (positive electrode 1 / negative electrode 1); S2, based on the reference battery (positive electrode 2 / negative electrode 1), establish a second battery life model and verify the relevant material characteristic parameters and attenuation equations in the second life model using the performance of the reference battery (positive electrode 2 / negative electrode 1); S3, based on the reference battery (positive electrode n / negative electrode 1), establish an nth battery life model and verify the relevant material characteristic parameters and attenuation equations in the nth life model using the performance of the reference battery (positive electrode n / negative electrode 1); S4, transfer the material characteristic parameters and attenuation equations of positive electrode 1, positive electrode 2…positive electrode n, negative electrode 1 to the positive electrode 1+positive electrode 2+…+positive electrode n / negative electrode 1 composite electrode battery model to perform electrochemical performance simulation and life prediction. For example, Figure 4 As shown, the third mixed electrode battery model consists of two positive electrodes (positive electrode 1 and positive electrode 2) and one negative electrode. In order to obtain more accurate material system parameters, since the attenuation mechanism of negative electrode 1 is relatively clear, based on the existing battery 1 prepared by positive electrode 1 / negative electrode 1 in the early stage, combined with the electrode structure parameters and battery specifications of battery 1, the first battery life attenuation model is constructed, and the material system parameters and life attenuation parameters of positive electrode 1 and negative electrode 1 in the first battery life attenuation model are corrected with the rate, temperature rise and cycle performance of the existing battery 1; based on the existing battery 2 prepared by positive electrode 2 and negative electrode 1 in the early stage, combined with the electrode structure parameters and battery specifications of battery 2, the second battery life attenuation model is constructed, and the material system parameters and life attenuation parameters of positive electrode 2 and negative electrode 1 in the second battery life attenuation model are corrected with the rate, temperature rise and cycle performance of the existing battery 2. The corrected material system parameters and life attenuation parameters of positive electrode 1, positive electrode 2 and negative electrode 1 are transferred to the new mixed electrode battery model, and the third mixed electrode battery life model is formed in combination with the electrode design parameters and battery specifications of the third battery to be predicted. The input operating temperature and charge-discharge system are used to simulate and predict the rate performance and life attenuation law of the mixed electrode battery.

[0056] For example, Figure 5As shown, the fourth mixed electrode battery model consists of three positive electrodes (positive electrode 1, positive electrode 2 and positive electrode 3) and one negative electrode. In order to obtain more accurate material system parameters, since the attenuation mechanism of negative electrode 1 is relatively clear, based on the existing battery 1 prepared from the previous positive electrode 1 / negative electrode 1, combined with the electrode structure parameters and battery specifications of battery 1, a first battery life attenuation model is constructed, and the material system parameters and life attenuation parameters of positive electrode 1 and negative electrode 1 in the first battery life attenuation model are corrected according to the rate, temperature rise and cycle performance of the existing battery 1; based on the existing battery 2 prepared from the previous positive electrode 2 and negative electrode 1, combined with the electrode structure parameters and battery specifications of battery 2, a second battery life attenuation model is constructed, and the material system parameters and life attenuation parameters of positive electrode 2 and negative electrode 1 in the second battery life attenuation model are corrected according to the rate, temperature rise and cycle performance of the existing battery 2; based on the existing battery 3 prepared from the previous positive electrode 3 and negative electrode 1, combined with the electrode structure parameters and battery specifications of battery 3, a third battery life attenuation model is constructed, and the material system parameters and life attenuation parameters of positive electrode 3 and negative electrode 1 in the third battery life attenuation model are corrected according to the rate, temperature rise and cycle performance of the existing battery 3. The corrected material system parameters and life attenuation parameters of positive electrode 1, positive electrode 2, positive electrode 3, and negative electrode 1 are transferred to the new mixed electrode battery model, and the fourth mixed electrode battery life model is formed by combining the electrode design parameters and battery specifications of the fourth battery to be predicted. The input operating temperature and charge and discharge system are used to simulate and predict the rate performance and life attenuation law of the mixed electrode battery.

[0057] In a possible implementation of the present invention, the specific implementation steps are: S1, based on the battery (positive electrode 1 / negative electrode 1), establish a first battery life model and use the battery (positive electrode 1 / negative electrode 1) performance to verify the relevant material characteristic parameters and attenuation equations in the first life model; S2, based on the battery (positive electrode 1 / negative electrode 2), establish a second battery life model and use the battery (positive electrode 1 / negative electrode 2) performance to verify the relevant material characteristic parameters and attenuation equations in the second life model; S3, based on the battery (positive electrode 1 and negative electrode n), establish the nth battery life model and use the battery (positive electrode 1 / negative electrode n) performance to verify the relevant material characteristic parameters and attenuation equations in the nth life model; S4, transfer the material characteristic parameters and attenuation equations of negative electrode 1, negative electrode 2...negative electrode n, positive electrode 1 to the positive electrode 1 / negative electrode 1+negative electrode 2+...+negative electrode n composite electrode battery model to perform electrochemical performance simulation and life prediction. For example, Figure 3As shown, the third mixed electrode battery model consists of a positive electrode 1 and two negative electrodes (consisting of negative electrode 1 and negative electrode 2). In order to obtain more accurate material system parameters, since positive electrode 1 is relatively stable, based on the existing battery 1 prepared by positive electrode 1 / negative electrode 1 in the early stage, combined with the electrode structure parameters and battery specifications of battery 1, a first battery life decay model is constructed, and the material system parameters and life decay parameters of positive electrode 1 and negative electrode 1 in the first battery life decay model are corrected with the rate, temperature rise and cycle performance of the existing battery 1; based on the existing battery 2 prepared by positive electrode 1 / negative electrode 2 in the early stage, combined with the electrode structure parameters and battery specifications of battery 2, a second battery life decay model is constructed, and the material system parameters and life decay parameters of positive electrode 1 and negative electrode 2 in the second battery life decay model are corrected with the rate, temperature rise and cycle performance of the existing battery 2. The corrected material system parameters and life decay parameters of positive electrode 1, negative electrode 1 and negative electrode 2 are migrated to the new mixed electrode battery model, and the third mixed electrode battery life model is formed in combination with the electrode design parameters and battery specifications of the third battery to be predicted. The input operating temperature and charge-discharge system are used to simulate and predict the rate performance and life attenuation law of the mixed electrode battery.

[0058] In a possible implementation of the present invention, the specific implementation steps are: S1, based on the battery (positive electrode 1 / negative electrode 1), a first battery life model is established, and the relevant material characteristic parameters and attenuation equations in the first life model are verified by the performance of the battery (positive electrode 1 / negative electrode 1); S2, based on the battery (positive electrode 2 / negative electrode 1), a second battery life model is established, and the relevant material characteristic parameters and attenuation equations in the second life model are verified by the performance of the battery (positive electrode 2 / negative electrode 1); S3, based on the battery (positive electrode n / negative electrode 1), an nth battery life model is established, and the relevant material characteristic parameters and attenuation equations in the nth life model are verified by the performance of the battery (positive electrode n / negative electrode 1); S4, Establish the n+1th battery life model based on the battery (positive electrode 1 / negative electrode 2) and verify the relevant material characteristic parameters and attenuation equations in the n+1th life model with the battery (positive electrode 1 / negative electrode 2) performance; S5. Establish the n+mth battery life model based on the battery (positive electrode 1 / negative electrode m) and verify the relevant material characteristic parameters and attenuation equations in the n+mth life model with the battery (positive electrode 1 / negative electrode m) performance; S6. Transfer the material characteristic parameters and attenuation equations of positive electrode 1, positive electrode 2...positive electrode n, negative electrode 1, negative electrode 2...negative electrode m to the positive electrode 1+...+positive electrode n / negative electrode 1+negative electrode 2+...+negative electrode m composite electrode battery model to perform electrochemical performance simulation and life prediction. Figure 6As shown, the third mixed electrode battery model consists of two positive electrodes (positive electrode 1, positive electrode 2) and two negative electrodes (negative electrode 1 and negative electrode 2). In order to obtain more accurate material system parameters, based on the existing battery 1 prepared by the previous positive electrode 1 / negative electrode 1, combined with the electrode structure parameters and battery specifications of the battery 1, the first battery life decay model is constructed, and the material system parameters and life decay parameters of the positive electrode 1 and the negative electrode 1 in the first battery life decay model are corrected with the rate, temperature rise and cycle performance of the existing battery 1; based on the existing battery 2 prepared by the previous positive electrode 2 and negative electrode 2, combined with the electrode structure parameters and battery specifications of the battery 2, the second battery life decay model is constructed, and the material system parameters and life decay parameters of the positive electrode 2 and the negative electrode 2 in the second battery life decay model are corrected with the rate, temperature rise and cycle performance of the existing battery 2. The corrected material system parameters and life decay parameters of the positive electrode 1, positive electrode 2, negative electrode 1 and negative electrode 2 are migrated to the new mixed electrode battery model, and the third mixed electrode battery life model is formed in combination with the electrode design parameters and battery specifications of the third battery to be predicted. The input operating temperature and charge-discharge system are used to simulate and predict the rate performance and life attenuation law of the mixed electrode battery.

[0059] In order to verify the effectiveness of the composite electrode battery life prediction method provided by the present invention, an experimental verification was carried out. Multiple groups of batteries were used in the experiment. The results are shown in Table 1. Table 1 is a comparison of the accuracy of battery models with different material systems. It can be seen from the table that the simpler the material system and the simpler the attenuation mechanism of the material system, the higher the prediction accuracy of the battery model. The parameter correction method based on the previous cycle data can obtain higher accuracy in the single material electrode battery model, but due to the complex material system and more attenuation mechanisms in the mixed electrode battery, the model accuracy based on the traditional parameter correction method is significantly reduced. The material system parameter and attenuation mechanism parameter correction method based on the data migration disclosed in the present invention can greatly improve the prediction accuracy of the mixed electrode battery life model.

[0060] Table 1 The composite electrode battery life prediction device provided by the present invention is described below. The composite electrode battery life prediction device described below and the composite electrode battery life prediction method described above can be referred to each other. Figure 7 As shown, the composite electrode battery life prediction device provided by the present invention comprises: A model building module 710 is used to build a composite electrode battery life prediction model, in which the positive electrode of the battery is composed of N single electrode materials, and the negative electrode is composed of M single electrode materials, N≥1, M≥1, and N+M≥3. In the composite electrode battery life prediction model, the electrochemical reaction process and life attenuation mechanism of each single electrode material in the positive and negative electrodes are described by independent mathematical equations, and the mathematical equations are coupled through the electrode solid phase potential and liquid phase potential. The life prediction module 720 is used to obtain the material characteristic parameters and attenuation mechanism mathematical equation parameters required by the electrochemical reaction equations of each single electrode material in the battery to be predicted, the battery design parameters to be predicted, the electrode design parameters and the operating conditions to be predicted, and input them into the composite electrode battery life prediction model to obtain the life prediction result of the battery to be predicted.

[0061] Figure 8 An example of a physical structure diagram of an electronic device is shown in FIG. Figure 8 As shown, the electronic device may include: a processor (processor) 810, a communication interface (Communications Interface) 820, a memory (memory) 830 and a communication bus 840, wherein the processor 810, the communication interface 820, and the memory 830 communicate with each other through the communication bus 840. The processor 810 can call the logic instructions in the memory 830 to execute the composite electrode battery life prediction method, which includes: establishing a composite electrode battery life prediction model, in which the positive electrode of the battery is composed of N single electrode materials, and the negative electrode is composed of M single electrode materials, N≥1, M≥1, and N+M≥3, and the electrochemical reaction process and life attenuation mechanism of each single electrode material in the positive and negative electrodes in the composite electrode battery life prediction model are described by independent mathematical equations, and the mathematical equations are coupled through the electrode solid phase potential and liquid phase potential; obtaining the material characteristic parameters required for the electrochemical reaction equations of each single electrode material in the battery to be predicted and the attenuation mechanism mathematical equation parameters, the battery design parameters to be predicted, the electrode design parameters and the operating conditions, and inputting them into the composite electrode battery life prediction model to obtain the life prediction result of the battery to be predicted.

[0062] In addition, the logic instructions in the above-mentioned memory 830 can be implemented in the form of a software functional unit and can be stored in a computer-readable storage medium when it is sold or used as an independent product. Based on this understanding, the technical solution of the present invention is essentially or the part that contributes to the prior art or the part of the technical solution can be embodied in the form of a software product, and the computer software product is stored in a storage medium, including a number of instructions to enable a computer device (which can be a personal computer, a server, or a network device, etc.) to perform all or part of the steps of the method described in each embodiment of the present invention. The aforementioned storage medium includes: U disk, mobile hard disk, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), disk or optical disk and other media that can store program codes.

[0063] On the other hand, the present invention also provides a computer program product, which includes a computer program, which can be stored on a non-transitory computer-readable storage medium. When the computer program is executed by a processor, the computer can execute the composite electrode battery life prediction method provided by the above methods, the method including: establishing a composite electrode battery life prediction model, in which the positive electrode of the battery is composed of N single electrode materials, and the negative electrode is composed of M single electrode materials, N≥1, M≥1, and N+M≥3, and the electrochemical reaction process and life attenuation mechanism of each single electrode material in the positive and negative electrodes in the composite electrode battery life prediction model are described by independent mathematical equations, and the mathematical equations are coupled through the electrode solid phase potential and liquid phase potential; obtaining the material characteristic parameters and attenuation mechanism mathematical equation parameters required for the electrochemical reaction equations of each single electrode material in the battery to be predicted, the battery design parameters to be predicted, the electrode design parameters and the operating conditions, and inputting them into the composite electrode battery life prediction model to obtain the life prediction result of the battery to be predicted.

[0064] On the other hand, the present invention also provides a non-transitory computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, is implemented to execute the composite electrode battery life prediction method provided by the above-mentioned methods, the method comprising: establishing a composite electrode battery life prediction model, in which the positive electrode of the battery is composed of N single electrode materials, and the negative electrode is composed of M single electrode materials, N≥1, M≥1, and N+M≥3, and the electrochemical reaction process and life attenuation mechanism of each single electrode material in the positive and negative electrodes in the composite electrode battery life prediction model are described by independent mathematical equations, and the mathematical equations are coupled through the electrode solid phase potential and liquid phase potential; obtaining the material characteristic parameters and attenuation mechanism mathematical equation parameters required for the electrochemical reaction equations of each single electrode material in the battery to be predicted, the battery design parameters to be predicted, the electrode design parameters and the operating conditions, and inputting them into the composite electrode battery life prediction model to obtain the life prediction result of the battery to be predicted.

[0065] The device embodiments described above are merely illustrative, wherein the units described as separate components may or may not be physically separated, and the components displayed as units may or may not be physical units, that is, they may be located in one place, or they may be distributed on multiple network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the scheme of this embodiment. Ordinary technicians in this field can understand and implement it without paying creative labor.

[0066] Through the description of the above implementation methods, those skilled in the art can clearly understand that each implementation method can be implemented by means of software plus a necessary general hardware platform, and of course, can also be implemented by hardware. Based on this understanding, the above technical solution is essentially or the part that contributes to the prior art can be embodied in the form of a software product, and the computer software product can be stored in a computer-readable storage medium, such as ROM / RAM, a disk, an optical disk, etc., including a number of instructions for a computer device (which can be a personal computer, a server, or a network device, etc.) to execute the methods described in each embodiment or some parts of the embodiments.

[0067] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit it. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or make equivalent replacements for some of the technical features therein. However, these modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. A composite electrode battery life prediction method, characterized in that: include: Establishing a composite electrode battery life prediction model, wherein the positive electrode of the battery is composed of N single electrode materials, and the negative electrode is composed of M single electrode materials, N≥1, M≥1, and N+M≥3, and the electrochemical reaction process and life attenuation mechanism of each single electrode material in the positive electrode and the negative electrode in the composite electrode battery life prediction model are described by independent mathematical equations, and the mathematical equations are coupled through the electrode solid phase potential and the liquid phase potential; The material characteristic parameters and attenuation mechanism mathematical equation parameters required by the electrochemical reaction equations of each single electrode material in the battery to be predicted, the battery design parameters to be predicted, the electrode design parameters and the operating conditions to be predicted are obtained and input into the composite electrode battery life prediction model to obtain the life prediction result of the battery to be predicted.

2. The composite electrode battery life prediction method according to claim 1, characterized in that: The method of obtaining the material characteristic parameters and attenuation mechanism mathematical equation parameters required for the electrochemical reaction equation of each single electrode material in the battery to be predicted includes: Based on the reference battery, material characteristic parameters and attenuation mechanism equation parameters of a single electrode material in the composite electrode of the battery to be predicted are obtained, wherein the materials of the two electrodes of the reference battery are the single electrode material and the reference electrode material in the battery to be predicted, respectively, and the attenuation mechanism equation parameters are parameters in the attenuation mechanism mathematical equation, and the attenuation mechanism mathematical equation reflects the battery attenuation caused by the side reactions of the material system; Migrating the material characteristic parameters of the single electrode material included in the positive and negative electrode composite materials of the battery to be predicted and the attenuation mechanism equation parameters to the composite electrode battery life prediction model; The reference electrode material is a lithium iron phosphate positive electrode material, a graphite negative electrode material or a low-nickel ternary positive electrode material.

3. The composite electrode battery life prediction method according to claim 1, characterized in that: The composite electrode battery life prediction model is based on the Newman model, adding the interaction equations between different single materials in the same electrode, and further coupling the electrode potential, lithium ion concentration, reaction heat generation and material attenuation mechanism mathematical equations in the electrochemical reaction process of the material to obtain the model; In the composite electrode battery life prediction model, the electrochemical reaction process on the surface of each single electrode material in the same electrode is described by the Butler-Volmer equation, the mutual influence between different materials is realized through the liquid phase potential, solid phase potential and material equilibrium potential, the polarization potential of each single electrode material is determined by its own open circuit voltage and surface resistance, different single electrode materials in the same electrode have the same liquid phase potential and solid phase potential at the same position, the interaction between single electrode materials is determined by the polarization potential, and the attenuation mechanism is described as a mathematical equation of the attenuation mechanism related to the electrode potential, lithium ion concentration and reaction heat generation during the electrochemical reaction process; The attenuation mechanism mathematical equation includes at least one of an equation describing a lithium precipitation side reaction, an equation describing a gas production side reaction, an equation describing a transition metal dissolution reaction, an equation describing a loss of active material caused by transition metal dissolution, an equation describing a change in radius of material particles caused by transition metal dissolution, an equation describing a growth in surface film resistance of material particles caused by transition metal dissolution, an equation describing a reaction current of a film-forming side reaction, an equation describing a rate at which side reaction products are generated by a film-forming side reaction, an equation describing a loss of battery capacity caused by a film-forming side reaction, an equation describing a change in surface film thickness caused by a film-forming side reaction, and an equation describing a change in motor porosity caused by a film-forming side reaction; The parameters in the composite electrode battery life prediction model include electrolyte parameters, electrode structure parameters, battery specification parameters, material characteristic parameters of each single electrode material, and attenuation mechanism mathematical equation parameters.

4. The composite electrode battery life prediction method according to claim 2, characterized in that: The composite electrode battery life prediction model includes a battery total current equation, which is used to describe the relationship between the total battery current and the contribution current of each single electrode material. The contribution current of a single electrode material is the sum of the product of the particle surface area of ​​each particle of the single electrode material and the corresponding local current density; The electrode capacity in the composite electrode battery life prediction model is the sum of the capacities of each single electrode material in the corresponding SOC range.

5. The composite electrode battery life prediction method according to claim 2, characterized in that: The obtaining of material characteristic parameters and attenuation mechanism equation parameters of a single electrode material in the composite electrode of the battery to be predicted based on the reference battery includes: Determining material characteristic parameters of a single electrode material included in the reference battery based on a rate charge capacity-voltage-temperature rise curve, a rate discharge capacity-voltage-temperature rise curve, a battery charge capacity-voltage-temperature rise curve at different temperatures, and a battery discharge capacity-voltage-temperature rise curve at different temperatures of the reference battery; After determining the material characteristic parameters of the single electrode material, the attenuation mechanism equation parameters of the single electrode material are determined based on the cycle performance data of the reference battery under known operating conditions and the attenuation mechanism mathematical equation.

6. The composite electrode battery life prediction method according to claim 1, characterized in that: The material characteristic parameters include: material solid phase reaction rate constant, solid phase reaction rate constant activation energy, material liquid phase conductivity activation energy, material liquid phase diffusion activation energy, open circuit voltage of positive and negative electrode materials, solid phase diffusion coefficient, solid phase diffusion coefficient activation energy, exchange current density, material radius, density, maximum lithium ion concentration, operating voltage range, entropy thermal coefficient, thermal conductivity, specific heat capacity; the material attenuation equation parameters refer to the constants in the cyclic attenuation mechanism equation: exchange current density in the gas production side reaction, exchange current density in the lithium precipitation side reaction, dissolution rate constant in transition metal dissolution, activation energy in transition metal dissolution, membrane resistance in transition metal dissolution, and attenuation factor in the passivation film side reaction.

7. A composite electrode battery life prediction device, characterized in that: include: A model building module, used to establish a composite electrode battery life prediction model, wherein the positive electrode of the battery is composed of N single electrode materials, and the negative electrode is composed of M single electrode materials, N≥1, M≥1, and N+M≥3, and the electrochemical reaction process and life attenuation mechanism of each single electrode material in the positive electrode and the negative electrode in the composite electrode battery life prediction model are described by independent mathematical equations, and the mathematical equations are coupled through the electrode solid phase potential and the liquid phase potential; The life prediction module is used to obtain the material characteristic parameters and attenuation mechanism mathematical equation parameters required by the electrochemical reaction equations of each single electrode material in the battery to be predicted, the battery design parameters to be predicted, the electrode design parameters and the operating conditions, and input them into the composite electrode battery life prediction model to obtain the life prediction result of the battery to be predicted.

8. An electronic device comprising a memory, a processor, and a computer program stored in the memory and running on the processor, characterized in that: When the processor executes the computer program, the composite electrode battery life prediction method according to any one of claims 1 to 6 is implemented.

9. A non-transitory computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the composite electrode battery life prediction method according to any one of claims 1 to 6 is implemented.

10. A computer program product, comprising a computer program, characterized in that When the computer program is executed by a processor, the composite electrode battery life prediction method according to any one of claims 1 to 6 is implemented.

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