Simulation processing method and device for battery short circuit and server

Abstract

The battery short circuit simulation processing method, device and server provided by the present disclosure relate to battery technology and include the following steps: determining target characteristic parameters of a target battery according to obtained test data of the target battery and a preset lumped voltage calculation equation set; establishing an electrochemical model of the target battery according to the target characteristic parameters and the preset lumped voltage calculation equation set; determining an output value of the electrochemical model according to a preset short circuit circuit model of the target battery and the electrochemical model; loading the output value of the electrochemical model as an input voltage value to a preset coupling model for simulating heat transfer and current of the target battery to obtain a simulation result of simulating a short circuit of the target battery. The present scheme predicts the temperature change information at a preset position of a battery after a short circuit over time in a simulation manner, can guide the design of an overheating protection structure without damaging the battery, and improves the efficiency relative to a short circuit experiment.

Description

Technical Field

[0001] The present disclosure relates to battery technology, and more particularly to a method, device, and server for simulating and processing a battery short circuit. Background Art

[0002] Battery safety has always been a key concern in battery design. To prevent serious damage to the entire system when a single cell experiences an external short circuit, battery modules often incorporate thermal protection mechanisms. A suitable thermal protection mechanism should promptly shut down the circuit after an external short circuit occurs, preventing the battery cell from overheating and catching fire.

[0003] In the prior art, before completing the design and applying the battery to the energy storage system, a short-circuit test is required to verify whether the overheat protection structure is effective and the onset time at different currents, thereby guiding the design of the overheat protection structure.

[0004] However, the short-circuit test is a destructive test that may cause irreversible damage to the battery, and the efficiency of the short-circuit test is low. Summary of the Invention

[0005] The present disclosure provides a battery short circuit simulation processing method, device and server to solve the problems in the prior art that short circuit experiments may cause irreversible damage to the battery and the efficiency of short circuit experiments is low.

[0006] According to a first aspect of the present disclosure, a method for simulating a battery short circuit is provided, comprising:

[0007] Determining target characteristic parameters of the target battery based on the acquired test data of the target battery and a preset lumped voltage calculation equation group; the target characteristic parameters include open circuit voltage, ohmic characteristic parameters, material diffusion parameters, and charge transfer parameters corresponding to different battery residual capacities;

[0008] Establishing an electrochemical model of the target battery according to the target characteristic parameters and the preset lumped voltage calculation equations; and determining an output value of the electrochemical model according to a preset short-circuit model of the target battery and the electrochemical model;

[0009] The output value of the electrochemical model is loaded as an input voltage value onto a preset coupled model for simulating heat transfer and current of the target battery, and a simulation result of simulating a short circuit of the target battery is obtained, so as to determine whether to adaptively improve the overheat protection structure of the target battery based on the simulation result; the simulation result includes information on the change of temperature over time at multiple preset locations in the target battery.

[0010] According to a second aspect of the present disclosure, a battery short circuit simulation processing device is provided, comprising:

[0011] The acquisition unit is configured to determine a target characteristic parameter of the target battery according to the acquired test data of the target battery and the preset lumped voltage calculation equation set; the target characteristic parameter includes an open-circuit voltage, an ohmic characteristic parameter, a substance diffusion parameter, and a charge transfer parameter varying with a remaining capacity of the battery;

[0012] The data preparation unit is configured to establish an electrochemical model of the target battery according to the target characteristic parameter and the preset lumped voltage calculation equation set; and determine an output value of the electrochemical model according to a preset short-circuit circuit model of the target battery and the electrochemical model.

[0013] The simulation unit is configured to load the output value of the electrochemical model as an input voltage value to a preset coupling model for simulating heat transfer and current of the target battery, acquire a simulation result of simulating short circuit of the target battery, and determine whether to adaptively improve an overheat protection structure of the target battery based on the simulation result; the simulation result includes information about changes of temperatures at preset positions in the target battery with time.

[0014] According to a third aspect of the present disclosure, a server is provided, comprising a memory and a processor; wherein,

[0015] The memory is configured to store a computer program;

[0016] The processor is configured to read the computer program stored in the memory, and execute the battery short circuit simulation processing method according to the computer program in the memory.

[0017] According to a fourth aspect of the present disclosure, a computer readable storage medium is provided, and the computer readable storage medium stores computer execution instructions; when a processor executes the computer execution instructions, the battery short circuit simulation processing method according to the first aspect is implemented.

[0018] According to a fifth aspect of the present disclosure, a computer program product is provided, comprising a computer program; when the computer program is executed by a processor, the battery short circuit simulation processing method according to the first aspect is implemented.

[0019] The present disclosure provides a battery short circuit simulation processing method, device, and server, including: determining target characteristic parameters of the target battery based on acquired test data of the target battery and a preset lumped voltage calculation equation group; the target characteristic parameters include open circuit voltage, ohmic characteristic parameters, material diffusion parameters, and charge transfer parameters corresponding to different battery residual capacities; establishing an electrochemical model of the target battery based on the target characteristic parameters and the preset lumped voltage calculation equation group; and determining the output value of the electrochemical model based on the preset short-circuit circuit model and electrochemical model of the target battery; using the output value of the electrochemical model as an input voltage value and loading it onto a preset heat transfer and current coupling model for simulating the target battery to obtain a simulation result of simulating the short circuit of the target battery, so as to determine whether to adaptively improve the overheat protection structure of the target battery based on the simulation result; the simulation result includes information on the temperature change over time at multiple preset positions in the simulated target battery. The battery short-circuit simulation processing method, device and server provided by this solution can predict the temperature change information of the preset position in the target battery over time after the target battery is short-circuited in a non-destructive simulation manner, and thus can guide the design of the overheat protection structure of the target battery without damaging the target battery, and improve efficiency compared to the short-circuit experiment. Using the open circuit voltage, ohmic characteristic parameters, material diffusion parameters, and charge transfer parameters corresponding to different battery residual capacities as target characteristic parameters, establishing an electrochemical model, and loading the output value of the electrochemical model as the input voltage value to the simulation model of the target battery can improve the accuracy of the simulation results; paying attention to the temperature change information of each preset position over time after the target battery is short-circuited can further improve the accuracy of the simulation results; and thus the simulation results can be better used to guide the design of the overheat protection structure. BRIEF DESCRIPTION OF THE DRAWINGS

[0020] In order to more clearly illustrate the embodiments of the present disclosure or the technical solutions in the prior art, the following briefly introduces the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings described below are only some embodiments of the present disclosure. For those skilled in the art, other drawings can be obtained based on these drawings without paying any creative work.

[0021] Figure 1 This is a flow chart of a method for simulating a battery short circuit according to an exemplary embodiment of the present disclosure;

[0022] Figure 2 A schematic flow chart of a method for simulating a battery short circuit according to another exemplary embodiment of the present disclosure;

[0023] Figure 3 A schematic diagram of a process for determining an output value of an electrochemical model according to an exemplary embodiment of the present disclosure;

[0024] Figure 4 This is a structural diagram of a battery short circuit simulation processing device according to an exemplary embodiment of the present disclosure;

[0025] Figure 5 This is a structural diagram of a server according to an exemplary embodiment of the present disclosure. DETAILED DESCRIPTION

[0026] Battery safety has always been a key concern in battery design. To prevent serious damage to the entire system when a single cell experiences an external short circuit, battery modules often incorporate thermal protection mechanisms. A suitable thermal protection mechanism should promptly shut down the circuit after an external short circuit occurs, preventing the battery cell from overheating and catching fire.

[0027] Prior to completing a design and implementing a battery into an energy storage system, short-circuit testing is required to verify the effectiveness of the thermal protection mechanism and its onset time at different currents. This provides guidance for the design of the thermal protection mechanism. Alternatively, the battery's ohmic characteristics can be used to simulate a short circuit, and the simulation results can be used to guide the design of the thermal protection mechanism.

[0028] However, short-circuit testing is a destructive test that can cause irreversible damage to the battery and is inefficient. Considering only the battery's ohmic characteristics fails to account for factors such as charge transfer and material diffusion during the battery's internal reactions, leading to a decrease in prediction accuracy, especially when the short-circuit current is high.

[0029] In order to solve the above technical problems, the solution provided by the present disclosure can predict the temperature change information of the preset position in the target battery over time after the target battery is short-circuited by non-destructive simulation, and then guide the design of the overheat protection structure of the target battery without damaging the target battery, and improve the efficiency compared with the short-circuit experiment. Using the open circuit voltage, ohmic characteristic parameters, material diffusion parameters, and charge transfer parameters corresponding to different battery residual capacities as target characteristic parameters, establishing an electrochemical model, and loading the output value of the electrochemical model as the input voltage value to the simulation model of the target battery can improve the accuracy of the simulation results; paying attention to the temperature change information of each preset position over time after the target battery is short-circuited can further improve the accuracy of the simulation results; and then the simulation results can be better used to guide the design of the overheat protection structure.

[0030] 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 disclosure 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 the relevant laws, regulations and standards of relevant countries and regions, and provide corresponding operation entrances for users to choose to authorize or refuse.

[0031] The following detailed description of the technical solution of the present disclosure and how the technical solution of the present disclosure solves the above-mentioned technical problems is provided with specific embodiments. The following specific embodiments may be combined with each other, and the same or similar concepts or processes may not be described in detail in some embodiments. The embodiments of the present disclosure will be described below in conjunction with the accompanying drawings.

[0032] Figure 1 The figure is a flow chart of a method for simulating a battery short circuit according to an exemplary embodiment of the present disclosure.

[0033] like Figure 1 As shown, the battery short circuit simulation processing method provided in this embodiment includes:

[0034] Step 101, based on the acquired test data of the target battery and the preset lumped voltage calculation equations, determine the target characteristic parameters of the target battery; the target characteristic parameters include the open circuit voltage, ohmic characteristic parameters, material diffusion parameters, and charge transfer parameters corresponding to different battery residual capacities.

[0035] Among them, the execution entity of the method provided by the present disclosure can be a server.

[0036] The server can obtain test data of the target battery and determine target characteristic parameters of the target battery based on the test data and a preset lumped voltage calculation equation group.

[0037] The target battery may be tested in advance in a static state of charging, discharging, or neither charging nor discharging to obtain test data.

[0038] Specifically, the voltage output value of the target battery can be calculated using a preset lumped voltage calculation equation group.

[0039] The target characteristic parameters of the target battery may include the open circuit voltage, ohmic characteristic parameters, material diffusion parameters, and charge transfer parameters corresponding to different battery residual capacities.

[0040] The target battery may be a lithium battery.

[0041] The ohmic characteristic parameter is used to characterize the ohmic characteristic of the target battery.

[0042] Among them, the material diffusion parameters are used to characterize the lithium ion diffusion process characteristics of the target battery.

[0043] Among them, the charge transfer parameters are used to characterize the electrochemical reaction characteristics of the target battery.

[0044] Specifically, the preset lumped voltage calculation equations may include the equilibrium potential (ie, open circuit voltage) related to the remaining capacity of the battery, and the ohmic overpotential, concentration overpotential, and activation overpotential related to the current.

[0045] Specifically, by adjusting the calculation parameters of the current-related overpotential (the calculation parameters related to the ohmic overpotential are the ohmic characteristic parameters, the calculation parameters related to the concentration overpotential are the material diffusion parameters, and the calculation parameters related to the activation overpotential are the charge transfer parameters), the output values ​​of the lumped voltage calculation equation group can be made consistent with the measured voltage values ​​at each measuring point, thereby completing the acquisition of the target characteristic parameters.

[0046] Step 102 : establishing an electrochemical model of the target battery according to the target characteristic parameters and the preset lumped voltage calculation equations; and determining an output value of the electrochemical model according to the preset short-circuit model and electrochemical model of the target battery.

[0047] Specifically, an electrochemical model of the target battery can be established based on the target characteristic parameters and a preset lumped voltage calculation equation group. The electrochemical model is a mathematical model.

[0048] Specifically, a short-circuit model of the target battery is preset.

[0049] Specifically, the circuit current value of the short-circuit circuit model can be used as an input value of the electrochemical model, and then the output value of the electrochemical model can be obtained.

[0050] Furthermore, the output value of the electrochemical model can be used as the voltage value of the voltage source of the short-circuit circuit model. Specifically, the circuit current value in the short-circuit circuit model can be used to represent the output current value of the target battery after the short circuit; and the output value of the electrochemical model can be used to represent the output voltage value of the target battery after the short circuit.

[0051] In step 103, the output value of the electrochemical model is loaded as an input voltage value onto a preset coupling model for simulating heat transfer and current of the target battery, and a simulation result of simulating a short circuit of the target battery is obtained to determine whether to adaptively improve the overheat protection structure of the target battery based on the simulation result; the simulation result includes information on the change of temperature over time at multiple preset positions in the simulated target battery.

[0052] Specifically, a heat transfer and current coupling model of the target battery can be pre-set.

[0053] Specifically, an output value of the electrochemical model can be loaded as an input voltage value to the heat transfer and current coupling model (alternatively, a circuit current value of the short circuit model can be loaded as an input current value to the heat transfer and current coupling model), to simulate an external circuit short circuit condition of the target battery, and record simulation data during the simulation. The simulation data can include temperature change information over time at a plurality of pre-set positions in the simulated target battery.

[0054] Specifically, the plurality of pre-set positions in the simulated target battery can be obtained according to a grid division of a calculation domain pre-set in the heat transfer and current coupling model. The entire target battery is contained in the calculation domain.

[0055] Further, based on the simulation result, it can be determined whether to adaptively improve the overheat protection structure of the target battery.

[0056] For example, the overheat protection structure of the target battery can use a temperature trigger mechanism, a time length trigger mechanism, or a temperature and time length combined trigger mechanism.

[0057] The temperature trigger mechanism can be that when it is detected that the temperature of the target battery reaches a pre-set first temperature, the protection mechanism of the overheat protection structure is started.

[0058] The time length trigger mechanism can be that when it is detected that the current value in the circuit continuously greater than a first threshold value for a duration reaches a pre-set first duration, the protection mechanism of the overheat protection structure is started.

[0059] The temperature and time length combined trigger mechanism can be that when it is detected that the temperature of the target battery reaches a pre-set second temperature and the duration reaches a pre-set second duration, the protection mechanism of the overheat protection structure is started.

[0060] For example, the trigger mechanism of the overheat protection structure of the target battery is a temperature trigger mechanism. For example, it is set that when the temperature of the target battery is detected to reach 470 DEG C, the overheat protection mechanism (for example, the overheat protection mechanism can be a fuse with a pre-set fuse) is started. According to the trigger mechanism, the temperature field at each position in the simulation result is screened to obtain the position and trigger time at which the trigger mechanism is first triggered. Whether the design of the overheat protection structure meets the expectation is verified. The effectiveness of the overheat protection structure is evaluated by using non-destructive experiments. For example, the simulation result shows that the temperature at some positions rises rapidly and reaches 470 DEG C at 100 s. When the overheat protection design is performed, the design structure should cover the process of rising to 470 DEG C within 100 s, that is, the limit heat resistance of the target battery should be stronger than that of 100 s reaching 470 DEG C. When the target battery operates in the case below the covered process, no safety failure occurs and the operating performance is not affected.

[0061] The simulation processing method for battery short circuit provided by the present disclosure comprises: determining target characteristic parameters of a target battery according to obtained test data of the target battery and a preset lumped voltage calculation equation set; the target characteristic parameters comprise open circuit voltage, ohmic characteristic parameters, substance diffusion parameters and charge transfer parameters corresponding to different battery residual capacities; establishing an electrochemical model of the target battery according to the target characteristic parameters and the preset lumped voltage calculation equation set; determining an output value of the electrochemical model according to a preset short circuit model of the target battery and the electrochemical model; loading the output value of the electrochemical model as an input voltage value to a preset coupling model for simulating heat transfer and current of the target battery to obtain a simulation result of simulating the short circuit of the target battery, and determining whether to adaptively improve the overheat protection structure of the target battery based on the simulation result; the simulation result comprises temperature change information of a plurality of preset positions in the target battery with time. The simulation processing method for battery short circuit provided by the present disclosure can predict the temperature change information of the preset positions in the target battery with time after the target battery is short circuited by using a non-destructive simulation method, and can guide the design of the overheat protection structure of the target battery without damaging the target battery, and the efficiency is improved compared with the short circuit experiment. The open circuit voltage, ohmic characteristic parameters, substance diffusion parameters and charge transfer parameters corresponding to different battery residual capacities are used as the target characteristic parameters to establish the electrochemical model, and the output value of the electrochemical model is loaded as the input voltage value to the simulation model of the target battery, which can improve the accuracy of the simulation result; the temperature change information of each preset position in the target battery with time after the target battery is short circuited is focused, which can further improve the accuracy of the simulation result; and the simulation result can be better used to guide the design of the overheat protection structure.

[0062] Figure 2The figure is a flow chart of a method for simulating a battery short circuit according to another exemplary embodiment of the present disclosure.

[0063] like Figure 2 As shown, the battery short circuit simulation processing method provided in this embodiment includes:

[0064] In step 201, the test data includes static data and dynamic data of the target battery; the static data includes the open circuit voltage of the target battery at different remaining capacities; the dynamic data includes voltage measurement values, current measurement values, and temperature information collected when the target battery is discharged or charged; and the voltage prediction value of the target battery is determined based on the static data, the preset initial characteristic parameters of the target battery, the temperature information, and the preset lumped voltage calculation equations.

[0065] The test data of the target battery may include static data of the target battery and dynamic data of the target battery.

[0066] The static data of the target battery may include the open circuit voltage of the target battery at different remaining capacities.

[0067] The dynamic data of the target battery may include voltage measurement values, current measurement values, and temperature information collected during a discharge test of the target battery. All or part of the data during the entire discharge process may be collected.

[0068] The temperature information may be the ambient temperature of the target battery.

[0069] Alternatively, the dynamic data of the target battery may include voltage measurement values, current measurement values, and temperature information collected during a charging test of the target battery. All or part of the data of the entire charging process may be collected.

[0070] The initial characteristic parameters of the target battery may be preset, and the initial characteristic parameters may include initial ohmic characteristic parameters, initial material diffusion parameters, and initial charge transfer parameters.

[0071] Specifically, the voltage prediction value of the target battery may be determined based on static data, preset initial characteristic parameters of the target battery, temperature information, and a preset lumped voltage calculation equation group.

[0072] Specifically, the equations used in the preset lumped voltage calculation equation group are not limited in this embodiment.

[0073] For example, the preset lumped voltage calculation equations can be as follows:

[0074] E cal =E OCV +η IR+η act +η conc

[0075]

[0076]

[0077]

[0078]

[0079] η conc =E OCV (SOC surface )-E OCV (SOC average )

[0080] Among them, E cal Indicates the voltage prediction value; C OCV Indicates open circuit voltage; η IR represents the ohmic overpotential; η act represents the activation overpotential; η conc represents the concentration overpotential; η IR，1C Indicates the voltage loss associated with the ohmic process when the current is 1C, that is, the ohmic characteristic parameter; I cell Indicates the current measurement value (unit is A), that is, the external current; I 1C It represents the current intensity when the battery is fully discharged in one hour; R represents the molar gas constant; T represents temperature information; F represents the Faraday constant; J0 represents the dimensionless charge exchange current, that is, the charge transfer parameter; τ represents the diffusion time constant (unit: m / s), that is, the material diffusion parameter; SOC represents the remaining capacity of the battery; Q cell，0 represents the battery capacity; X = 0 and X = 1 represent the center and surface of the particle respectively; N shape is a constant 3; SOC surface is the state of charge at X=1; SOC average is the average state of charge of the material.

[0081] Specifically, the initial characteristic parameters may include initial charge transfer parameters, initial material diffusion parameters, and initial ohmic characteristic parameters.

[0082] Specifically, the open circuit voltage, preset initial characteristic parameters, and temperature information of the target battery at different remaining capacities may be substituted into the preset lumped voltage calculation equations to calculate the voltage prediction value.

[0083] Step 202: Adjust the initial characteristic parameters based on the voltage measurement value and voltage prediction value of the target battery to obtain target characteristic parameters. The target characteristic parameters include the open circuit voltage, ohmic characteristic parameter, material diffusion parameter, and charge transfer parameter corresponding to different battery residual capacities.

[0084] Specifically, the initial characteristic parameters can be adjusted according to the voltage measurement value and voltage prediction value of the target battery so that the voltage prediction value output by the lumped voltage calculation equation group is consistent with the measured voltage value (i.e., the voltage measurement value) at each measuring point, thereby completing the acquisition of the target characteristic parameters.

[0085] In one implementable manner, a difference between a voltage measurement value and a voltage prediction value is determined; and based on the difference, an initial characteristic parameter is adjusted to obtain a target characteristic parameter.

[0086] Specifically, the difference between the voltage measurement value and the voltage prediction value can be determined; and the initial characteristic parameters can be adjusted using the difference so that the difference is within the preset value, thereby making the voltage prediction value output by the lumped voltage calculation equation group consistent with the measured voltage value (i.e., the voltage measurement value) at each measuring point, thereby completing the acquisition of the target characteristic parameters.

[0087] Step 203: Establish an electrochemical model of the target battery based on the target characteristic parameters and a preset lumped voltage calculation equation group; use the electrochemical model to process the circuit current value of the short-circuit circuit model to obtain an output value of the electrochemical model; wherein the circuit current value of the short-circuit circuit model is obtained by using the output value of the electrochemical model as the output voltage value of the first battery; the short-circuit circuit model is composed of a first battery and a first resistor of a preset resistance value connected in series.

[0088] Specifically, an electrochemical model of the target battery can be established based on the target characteristic parameters and a preset lumped voltage calculation equation group. The electrochemical model is a mathematical model.

[0089] Specifically, a short-circuit model of the target battery may be preset, and the short-circuit model may be equivalent to a first battery and a first resistor of a preset resistance value connected in series.

[0090] In one implementable manner, the resistance of the first resistor is obtained in advance based on a short-circuit test of a target battery.

[0091] Specifically, the resistance value of the target battery when short-circuited can be measured in advance according to a short-circuit test of the target battery and used as the resistance value of the first resistor.

[0092] Specifically, such as Figure 3 As shown, the output of the electrochemical model can be used as a short-circuit model (i.e. Figure 3the voltage source (i.e. the output voltage value of the first battery) in the short circuit model as the input value (i.e. Figure 3 the electrode terminal current in the short circuit model) of the electrochemical model, and the output value (i.e. Figure 3 the positive electrode voltage in the electrochemical model) of the electrochemical model as the voltage value (i.e. Figure 3 the external voltage source in the short circuit model) that the first battery can provide. The circuit current value in the short circuit model can represent the output current value of the target battery after short circuit, and the output value of the electrochemical model can represent the output voltage value of the target battery after short circuit.

[0093] In step 204, the output value of the electrochemical model is loaded as the input voltage value to a preset heat transfer and current coupling model for simulating the target battery, and a simulation result of simulating the short circuit of the target battery is obtained, so as to determine whether to adaptively improve the overheat protection structure of the target battery based on the simulation result. The simulation result includes temperature change information of a plurality of preset positions in the simulated target battery over time.

[0094] Specifically, the output value of the electrochemical model can be loaded as the input voltage value to the heat transfer and current coupling model (on the other hand, the circuit current value of the short circuit model can also be loaded as the input current value to the heat transfer and current coupling model), so as to simulate the external circuit short circuit condition of the target battery, and record the simulation data in the simulation process. The simulation data can include temperature change information of a plurality of preset positions in the simulated target battery over time. Further, whether to adaptively improve the overheat protection structure of the target battery can be determined based on the simulation result.

[0095] In an implementation manner, the heat transfer and current coupling model is established by using a preset simulation software according to the obtained geometric parameters and material parameters of the target battery.

[0096] Specifically, the heat transfer and current coupling model of the target battery can be established by using a preset simulation software according to the obtained geometric parameters and material parameters of the target battery.

[0097] Specifically, the boundary conditions of the current input and output positions and the boundary conditions of the heat transfer process can be set in the heat transfer and current coupling model according to experimental conditions or actual design of the battery. At the same time, the influence of electromagnetic heat and heat transfer process on the preset temperature field in the target battery is considered, so that the temperature of each preset position (i.e. the position of the preset temperature field) in the target battery when the target battery is short-circuited can be obtained.

[0098] This embodiment does not limit the preset simulation software. For example, the preset simulation software can be any of the following: COMSOL, Matlab, ANYSYS, ICEPAK.

[0099] Figure 4 This is a structural diagram of a battery short circuit simulation processing device according to an exemplary embodiment of the present disclosure.

[0100] like Figure 4 As shown, the battery short circuit simulation processing device 400 provided by the present disclosure includes:

[0101] An acquisition unit 410 is configured to determine target characteristic parameters of the target battery based on the acquired test data of the target battery and a preset lumped voltage calculation equation group; the target characteristic parameters include open circuit voltage, ohmic characteristic parameters, material diffusion parameters, and charge transfer parameters that vary with the remaining capacity of the battery;

[0102] The data preparation unit 420 is used to establish an electrochemical model of the target battery based on the target characteristic parameters and the preset lumped voltage calculation equations; and determine the output value of the electrochemical model based on the preset short-circuit model and electrochemical model of the target battery;

[0103] The simulation unit 430 is used to load the output value of the electrochemical model as an input voltage value onto a preset coupling model of heat transfer and current for simulating the target battery, and obtain a simulation result of simulating a short circuit of the target battery, so as to determine whether to adaptively improve the overheating protection structure of the target battery based on the simulation result; the simulation result includes information on the change of temperature over time at multiple preset positions in the simulated target battery.

[0104] The acquisition unit 410 is specifically configured to determine a voltage prediction value of the target battery based on static data, preset initial characteristic parameters of the target battery, temperature information, and a preset lumped voltage calculation equation group; the test data includes static data and dynamic data of the target battery; the static data includes the open circuit voltage corresponding to the target battery at different battery remaining capacities; the dynamic data includes voltage measurement values, current measurement values, and temperature information collected during discharge or charge testing of the target battery;

[0105] According to the voltage measurement value and voltage prediction value of the target battery, the initial characteristic parameters are adjusted to obtain the target characteristic parameters.

[0106] The acquisition unit 410 is specifically configured to determine a difference between a voltage measurement value and a voltage prediction value;

[0107] According to the difference, the initial characteristic parameters are adjusted to obtain the target characteristic parameters.

[0108] The data preparation unit 420 is specifically configured to process the circuit current value of the short-circuit model by using the electrochemical model to obtain an output value of the electrochemical model; the short-circuit model is composed of the first battery and a first resistor with a preset resistance value in series.

[0109] The circuit current value of the short-circuit model is obtained by using the output value of the electrochemical model as the output voltage value of the first battery.

[0110] In an implementation manner, the resistance value of the first resistor is obtained in advance according to the short-circuit experiment of the target battery.

[0111] In an implementation manner, the heat transfer and current coupling model is established by using a preset simulation software according to the obtained geometric parameters and material parameters of the target battery.

[0112] Figure 5 A structural diagram of a server according to an example embodiment of the present disclosure is shown.

[0113] As shown in Figure 5 the server provided by the present embodiment comprises:

[0114] a memory 501;

[0115] a processor 502; and

[0116] a computer program;

[0117] The computer program is stored in the memory 501 and configured to be executed by the processor 502 to implement any one of the simulation processing methods of the battery short circuit as described above.

[0118] The present embodiment further provides a computer readable storage medium having a computer program stored thereon, and the computer program is executed by the processor to implement any one of the simulation processing methods of the battery short circuit as described above.

[0119] The present embodiment further provides a computer program product comprising a computer program, and the computer program is executed by the processor to implement any one of the simulation processing methods of the battery short circuit as described above.

[0120] Those skilled in the art can understand that all or part of the steps of the above-mentioned method embodiments can be completed by program instruction related hardware. The foregoing program can be stored in a computer readable storage medium. The program is executed to perform the steps of the above-mentioned method embodiments; and the foregoing storage medium includes ROM, RAM, magnetic disk or optical disk and various storage medium capable of storing program codes.

[0121] It should be noted that the above embodiments are only used to illustrate the technical solutions of the present application, and are not intended to limit the present application; although the present application has been described in detail with reference to the above embodiments, those skilled in the art should understand that the technical solutions recorded in the above embodiments can be modified, or some or all of the technical features can be replaced by equivalents; and these modifications or replacements do not make the essence of the corresponding technical solutions deviate from the scope of the technical solutions of the embodiments of the present application.

Claims

1. A method for simulating battery short circuit, characterized in that: include: Determining target characteristic parameters of the target battery based on the acquired test data of the target battery and a preset lumped voltage calculation equation group; the target characteristic parameters include open circuit voltage, ohmic characteristic parameters, material diffusion parameters, and charge transfer parameters corresponding to different battery residual capacities; Establishing an electrochemical model of the target battery according to the target characteristic parameters and the preset lumped voltage calculation equations; and determining an output value of the electrochemical model according to a preset short-circuit model of the target battery and the electrochemical model; The output value of the electrochemical model is loaded as an input voltage value into a preset coupled model for simulating heat transfer and current of the target battery, and a simulation result of simulating a short circuit of the target battery is obtained, so as to determine whether to adaptively improve the overheat protection structure of the target battery based on the simulation result; the simulation result includes information on temperature changes over time at multiple preset locations in the target battery; The test data includes static data and dynamic data of the target battery; the static data includes the open circuit voltage of the target battery at different battery residual capacities; the dynamic data includes voltage measurement values, current measurement values, and temperature information collected when the target battery is discharged or charged; Then, the target characteristic parameters of the target battery are determined based on the acquired test data of the target battery and the preset lumped voltage calculation equations, including: Determining a voltage prediction value of the target battery according to the static data, the preset initial characteristic parameters of the target battery, the temperature information, and the preset lumped voltage calculation equation group; The initial characteristic parameters are adjusted according to the voltage measurement value and the voltage prediction value of the target battery to obtain target characteristic parameters.

2. The method according to claim 1, characterized in that The adjusting the initial characteristic parameters according to the voltage measurement value and the voltage prediction value of the target battery to obtain target characteristic parameters includes: determining a difference between the voltage measurement value and the voltage prediction value; According to the difference, the initial characteristic parameters are adjusted to obtain target characteristic parameters.

3. The method according to any one of claim 1, characterized in that The short-circuit circuit model is composed of a first battery and a first resistor with a preset resistance value connected in series; Then, determining the output value of the electrochemical model according to the preset short-circuit model of the target battery and the electrochemical model includes: Processing the circuit current value of the short-circuit circuit model using the electrochemical model to obtain an output value of the electrochemical model; The circuit current value of the short-circuit circuit model is obtained by using the output value of the electrochemical model as the output voltage value of the first battery.

4. The method according to claim 3, characterized in that The resistance of the first resistor is obtained in advance based on a short-circuit test of the target battery.

5. The method according to any one of claims 1 to 4, characterized in that The heat transfer and current coupling model is established in advance based on the obtained geometric parameters and material parameters of the target battery using preset simulation software.

6. A battery short circuit simulation processing device, characterized in that: include: an acquisition unit, configured to determine target characteristic parameters of the target battery based on acquired test data of the target battery and a preset lumped voltage calculation equation group; the target characteristic parameters include open circuit voltage, ohmic characteristic parameters, material diffusion parameters, and charge transfer parameters that vary with the remaining capacity of the battery; the test data includes static data and dynamic data of the target battery; the static data includes the corresponding open circuit voltage of the target battery at different remaining capacities; the dynamic data includes voltage measurement values, current measurement values, and temperature information collected during discharge or charge testing of the target battery; A data preparation unit, configured to establish an electrochemical model of the target battery according to the target characteristic parameters and the preset lumped voltage calculation equations; Determining an output value of the electrochemical model according to a preset short-circuit model of the target battery and the electrochemical model; a simulation unit, configured to use the output value of the electrochemical model as an input voltage value, load the value into a preset coupled model for simulating heat transfer and current of the target battery, obtain a simulation result of simulating a short circuit of the target battery, and determine whether to adaptively improve the overheat protection structure of the target battery based on the simulation result; the simulation result includes information on temperature changes over time at multiple preset locations in the target battery; The acquisition unit is specifically configured to determine a voltage prediction value of the target battery based on the static data, the preset initial characteristic parameters of the target battery, the temperature information, and the preset lumped voltage calculation equation group; and adjust the initial characteristic parameters based on the voltage measurement value and the voltage prediction value of the target battery to obtain target characteristic parameters.

7. A server, characterized in that: comprising a memory and a processor; wherein, The memory is used to store computer programs; The processor is configured to read the computer program stored in the memory and execute the method according to any one of claims 1 to 5 according to the computer program in the memory.

8. A computer-readable storage medium, characterized in that The computer-readable storage medium stores computer-executable instructions, and when the processor executes the computer-executable instructions, the method according to any one of claims 1 to 5 is implemented.

9. A computer program product comprising a computer program, characterized in that When the computer program is executed by a processor, the method according to any one of claims 1 to 5 is implemented.

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