Monocell performance test method, device, equipment, medium and product

Abstract

The invention relates to a single battery performance test method, device and equipment, a medium and a product. The method comprises the following steps: acquiring material component information of a single battery; inputting the monocell substance components into a preset inlet distribution structure model to obtain component distribution information corresponding to the inlet distribution structure model; the component distribution information is input into the flow channel structure model to obtain flow channel structure information, and the flow channel structure information comprises properties of fluid in a flow channel and performance information of a membrane electrode; the runner structure information is input into the outlet distribution structure model, target output data are obtained, and the target output data are used for an operator to correct the inlet distribution structure model based on the target output data. By adopting the method, the accuracy of the single battery performance test method can be improved.

Description

Technical Field

[0001] The present application relates to the field of fuel cell technology, and in particular to a single cell performance testing method, device, equipment, medium and product. Background Art

[0002] Proton exchange membrane fuel cells are composed of multiple stacked cells and have attracted much attention due to their advantages such as low operating temperature, high power density, zero pollution, and wide application range. In the process of optimizing the structure of proton exchange membrane fuel cells, it is necessary to test the performance of the single cells and determine the direction of structural optimization based on the test results.

[0003] In traditional technology, the central check design is used to determine multiple values ​​of the flow channel geometric parameters, and sample data is used for artificial design. The output data of the flow channel is obtained by fitting the optimal artificial neural network to determine the performance of the single cell.

[0004] However, the current single-cell performance testing method has the problem of low testing accuracy. Summary of the invention

[0005] Based on this, it is necessary to provide a single cell performance testing method, device, equipment, medium and product that can improve the test accuracy in response to the above technical problems.

[0006] In a first aspect, the present application provides a single cell performance testing method, the method comprising:

[0007] Obtaining single battery material composition information;

[0008] Inputting the material components of the single cell into a preset inlet distribution structure model to obtain component distribution information corresponding to the inlet distribution structure model;

[0009] Inputting the component distribution information into the flow channel structure model to obtain the flow channel structure information, which includes the fluid properties in the flow channel and the membrane electrode performance information;

[0010] The flow channel structure information is input into the outlet distribution structure model to obtain target output data, and the target output data is used for the operator to modify the inlet distribution structure model based on the target output data.

[0011] In one embodiment, the flow channel structure model includes a bipolar plate flow channel unit and a membrane electrode unit, and the flow channel structure information includes fluid properties in the flow channel and membrane electrode information;

[0012] Input the component distribution information into the flow channel structure model to obtain the flow channel structure information, including:

[0013] Inputting the component distribution information into the bipolar plate flow channel unit to obtain the fluid properties in the flow channel;

[0014] The fluid properties in the flow channel are input into the membrane electrode unit to obtain membrane electrode information.

[0015] In one embodiment, the fluid property in the flow channel includes a pressure drop in the flow channel; and the process of inputting the component distribution information into the bipolar plate flow channel unit to obtain the fluid property in the flow channel includes:

[0016] Obtain fluid geometry information corresponding to the bipolar plate flow channel unit;

[0017] The fluid geometry information and component distribution information are processed algebraically to obtain the pressure drop in the flow channel.

[0018] In one embodiment, the membrane electrode information includes: diffusion layer component information and membrane side component information;

[0019] Input the fluid properties in the flow channel into the membrane electrode unit to obtain membrane electrode information, including:

[0020] According to the fluid properties in the flow channel and the preset outlet conditions, the diffusion layer component information is obtained;

[0021] Based on the diffusion layer component information, the membrane side component information is obtained.

[0022] In one embodiment, the flow channel structure information is input into the outlet distribution structure model to obtain the target output data, including:

[0023] According to the membrane side component information, the target voltage is obtained;

[0024] The target voltage is input into the export distribution structure model to obtain the target output data.

[0025] In one embodiment, the target voltage is input into the export distribution structure model to obtain the target output data, including:

[0026] When the target voltage meets the preset voltage output condition, the target current density value corresponding to the target voltage is used as the target output data;

[0027] When the target voltage does not meet the voltage output condition, determining the intermediate current density based on the target voltage;

[0028] The operating conditions are updated based on the intermediate current density, and the process of obtaining the target voltage is re-executed until the target voltage meets the voltage output condition, and each intermediate current density is used as the target output data.

[0029] In a second aspect, the present application also provides a single cell performance testing device, the device comprising:

[0030] An information acquisition module is used to obtain the material composition information of a single battery;

[0031] An inlet allocation module is used to input the material components of the single cell into a preset inlet allocation structure model to obtain component allocation information corresponding to the inlet allocation structure model;

[0032] A flow channel testing module is used to input component distribution information into a flow channel structure model to obtain flow channel structure information, which includes fluid properties in the flow channel and membrane electrode performance information;

[0033] The outlet distribution module is used to input the flow channel structure information into the outlet distribution structure model to obtain the target output data, and the target output data is used for the operator to modify the inlet distribution structure model based on the target output data.

[0034] In a third aspect, the present application further provides a computer device, including a memory and a processor, wherein the memory stores a computer program, and when the processor executes the computer program, the steps of the method of the first aspect are implemented.

[0035] In a fourth aspect, the present application further provides a computer-readable storage medium having a computer program stored thereon, which implements the steps of the method of the first aspect when the computer program is executed by a processor.

[0036] In a fifth aspect, the present application further provides a computer program product, comprising a computer program, which implements the steps of the method of the first aspect when executed by a processor.

[0037] The above-mentioned single cell performance test method, device, equipment, medium and product obtain the single cell material component information; input the single cell material component into the preset inlet distribution structure model to obtain the component distribution information corresponding to the inlet distribution structure model; input the component distribution information into the flow channel structure model to obtain the flow channel structure information, the flow channel structure information includes the fluid properties in the flow channel and the membrane electrode performance information; input the flow channel structure information into the outlet distribution structure model to obtain the target output data, and the target output data is used for the operator to correct the inlet distribution structure model based on the target output data. In this way, the inlet distribution structure model and the flow channel structure model can be used to combine the inlet distribution structure and the flow channel structure to generate the target output data of the single cell, so as to judge the performance of the single cell, thereby improving the accuracy of the single cell performance test method. BRIEF DESCRIPTION OF THE DRAWINGS

[0038] In order to more clearly illustrate the technical solutions in the embodiments of the present application or the related technologies, the drawings required for use in the embodiments or the related technical descriptions are briefly introduced below. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0039] FIG1 is a schematic diagram of a flow chart of a single cell performance testing method in one embodiment;

[0040] FIG2 is a schematic diagram of the structure of an inlet allocation structure model in one embodiment;

[0041] FIG3 is a schematic structural diagram of a flow channel structure model in one embodiment;

[0042] FIG4 is a schematic diagram of a process for obtaining the properties of a fluid in a flow channel in one embodiment;

[0043] FIG5 is a schematic diagram of a process for obtaining a target voltage in one embodiment;

[0044] FIG6 is a schematic diagram of a flow chart of a single cell performance testing method in another embodiment;

[0045] FIG7 is a structural block diagram of a single cell performance testing device in one embodiment;

[0046] FIG. 8 is a diagram showing the internal structure of a computer device in one embodiment. DETAILED DESCRIPTION

[0047] In order to make the purpose, technical solution and advantages of the present application more clearly understood, the present application is further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present application and are not used to limit the present application.

[0048] In one embodiment, as shown in FIG1 , a single battery performance test method is provided. This embodiment uses the method applied to a server as an example for illustration. It is understandable that the method can also be applied to a terminal, and can also be applied to a system including a terminal and a server, and is implemented through the interaction between the terminal and the server. In this embodiment, the method includes the following steps: 102 to 108. Among them:

[0049] Step 102, obtaining single cell material composition information.

[0050] Among them, the single cell material composition information includes the reaction gases in the fuel cell, such as hydrogen and oxygen.

[0051] Step 104 , inputting the material components of the single cell into a preset inlet distribution structure model to obtain component distribution information corresponding to the inlet distribution structure model.

[0052] The inlet distribution structure model is used to simulate the process of uniformly distributing the single cell material component information to the electrode surface of the battery, and the inlet distribution structure model only includes the flow process. Exemplarily, the inlet distribution structure model can be generated and optimized using a laminar flow model to obtain the inlet distribution structure model shown in FIG2 .

[0053] The component distribution information is obtained by inputting the single cell material component information into the inlet distribution structure model and calculating based on three-dimensional CFD (Computational Fluid Dynamics) simulation. Optionally, the component distribution information can be calculated based on two-dimensional CFD simulation, which can reduce the amount of calculation and improve the calculation efficiency compared with the three-dimensional CFD simulation process.

[0054] In a possible implementation, the process of obtaining component allocation information includes: obtaining an inlet allocation structure model, meshing the inlet allocation structure model to obtain allocation units; for each allocation unit, performing simulation calculation processing based on the single cell material component information to obtain unit component allocation information; and obtaining component allocation information based on the unit component allocation information. Exemplarily, Fluent software can be used to perform simulation calculations to obtain unit component allocation information, and then obtain component allocation information.

[0055] Step 106: input the component distribution information into the flow channel structure model to obtain the flow channel structure information.

[0056] The channel structure information includes the fluid properties in the channel and the membrane electrode performance information.

[0057] In a possible implementation, as shown in FIG3 , the flow channel structure model includes a bipolar plate flow channel unit and a membrane electrode unit, and the flow channel structure information includes the properties of the fluid in the flow channel and the membrane electrode information. The two on the left side of FIG3 are bipolar plate flow channel units, and the right side is a membrane electrode unit. Step 106 may further include: inputting the component distribution information into the bipolar plate flow channel unit to obtain the properties of the fluid in the flow channel; inputting the properties of the fluid in the flow channel into the membrane electrode unit to obtain the membrane electrode information.

[0058] Among them, the fluid properties in the flow channel include the fluid components and properties in the flow channel. The flow channel is divided into a cathode flow channel and an anode flow channel, and the gas components in the two are different: the components in the cathode flow channel mainly include oxygen, nitrogen and water vapor, while the gas in the anode flow channel is mainly hydrogen, nitrogen and water vapor.

[0059] Among them, the membrane electrode information mainly includes: the component transmission information of the cathode GDL (Gas Diffusion Layer), the component transmission information of the anode GDL, the electrolyte information on both sides of the membrane and the electrochemical information.

[0060] Step 108, inputting the flow channel structure information into the outlet distribution structure model to obtain target output data, and the target output data is used for the operator to modify the inlet distribution structure model based on the target output data.

[0061] Among them, the outlet distribution structure model is similar to the inlet distribution structure model, and the input and output positions of the two are opposite. The target output data can include key parameters such as fluid flow rate, pressure, temperature, and substance concentration. The target output data can be used to judge the performance of the single battery, and then the inlet distribution structure model can be modified based on the judgment, which plays a role in structural optimization.

[0062] Optionally, the outlet distribution structure model also includes a fluid pressure judgment module.

[0063] The above-mentioned single cell performance test method obtains the single cell material component information; inputs the single cell material component into a preset inlet distribution structure model to obtain the component distribution information corresponding to the inlet distribution structure model; inputs the component distribution information into the flow channel structure model to obtain the flow channel structure information, the flow channel structure information includes the fluid properties in the flow channel and the membrane electrode performance information; inputs the flow channel structure information into the outlet distribution structure model to obtain the target output data, and the target output data is used for the operator to correct the inlet distribution structure model based on the target output data. In this way, the inlet distribution structure model and the flow channel structure model can be used to combine the inlet distribution structure and the flow channel structure to judge the performance of the single cell, thereby improving the accuracy of the single cell performance test method.

[0064] In an exemplary embodiment, based on the embodiment shown in FIG1 , the fluid property in the flow channel in the provided method includes a pressure drop in the flow channel. In the provided method, the process of inputting the component distribution information into the bipolar plate flow channel unit to obtain the fluid property in the flow channel includes: obtaining the fluid geometry information corresponding to the bipolar plate flow channel unit; performing algebraic operations on the fluid geometry information and the component distribution information to obtain the pressure drop in the flow channel.

[0065] Optionally, as shown in FIG. 4 , the process of determining the fluid properties in the flow channel may include: obtaining the fluid properties according to component distribution information and preset working conditions; and determining the fluid properties in the flow channel according to the fluid geometry information and the fluid properties.

[0066] The fluid geometry information can be obtained from the preset working conditions, and the fluid geometry information can include a straight flow channel and a winding flow channel. It can be expressed as:

[0067] ,

[0068] Where f is the friction coefficient, L is the length of the flow channel, represents density, represents the hydraulic diameter, u represents the gas flow rate, and the unit is m / s. The friction coefficient is a number related to the fluid properties, the channel structure, and the wall properties. In the proton exchange membrane fuel cell, the fluid wall has three plates on the 3rd side and a GDL on the 1st side. It has been verified by experiments that when the channel structure and the GDL are compressed and fixed, f*Re is usually a constant. The constant can be obtained through experiments and can be assumed to be 100:

[0069] ,

[0070] Where Re is the Reynolds number

[0071] ,

[0072] density Related to the composition of the substance, it is the sum of the mole fractions of different gases multiplied by their molar masses; hydraulic diameter It is related to the cross-section of the flow channel, and the influence of the processing and assembly processes on the cross-section needs to be considered; the gas flow rate u can be calculated by the molar flow rate of each component and the state equation of the ideal gas.

[0073] For a meandering flow channel, the pressure drop in the flow channel It can be expressed as:

[0074] ,

[0075] in Indicates volume flow rate, unit: m 3 / s, It represents the dynamic viscosity of the fluid.

[0076] In a possible implementation, the method further includes: performing algebraic operations on the fluid geometry information and the component distribution information to obtain physical properties such as isochoric heat capacity and isobaric heat capacity of the mixed gas, which are used as inputs for other modules, assuming that the gas is an ideal gas.

[0077] In an exemplary embodiment, as shown in Figure 5, the membrane electrode information includes diffusion layer component information and membrane side component information. In the provided method, the properties of the fluid in the flow channel are input into the membrane electrode unit to obtain the membrane electrode information, including: obtaining the diffusion layer component information according to the properties of the fluid in the flow channel and the preset outlet conditions; and obtaining the membrane side component information according to the diffusion layer component information.

[0078] The diffusion layer component information includes the component information in the anode GDL and the component information in the cathode GDL, specifically including the flow information of gas and water in the anode flow channel and the cathode flow channel. The component information in the anode GDL is generated by using the fluid properties in the anode flow channel and the anode flow channel outlet conditions; the component information in the cathode GDL is generated by using the fluid properties in the cathode flow channel and the cathode flow channel outlet conditions; the component information in the anode GDL and the cathode GDL are processed by algebraic operations to obtain the membrane side component information.

[0079] For example, assuming that the transport of gas and water in the GDL is in a steady-state process, according to Fick's first law, the flux of water in the GDL can be expressed as:

[0080] ,

[0081] in represents the diffusion coefficient of water in GDL, which is related to the diffusion coefficient of water and the porosity of GDL and can be expressed as:

[0082] .

[0083] The above are the similarities between the cathode GDL component transmission module and the anode GDL component transmission module. For the cathode GDL component transmission module, flow limit judgment needs to be added:

[0084] If the following inequality is satisfied:

[0085] ,

[0086] The water flow information can be expressed as:

[0087] .

[0088] If the following inequality is satisfied:

[0089] ,

[0090] The water flow information can be expressed as:

[0091] .

[0092] in is the emission factor, is the cross-sectional area of ​​the reference, is the upstream pressure, is the downstream pressure, is the insulation coefficient.

[0093] Among them, the electrolytes on both sides of the membrane are mainly water and gas on both sides of the membrane. The component information on the membrane side includes the activity of water on both sides of the membrane, the water content of the membrane, the water diffusion coefficient of the membrane, the electroosmotic drag of water, and the concentration diffusion of nitrogen.

[0094] Exemplarily, the activity of water on both sides of the membrane can be obtained by solving the water heat balance equation. It can be assumed that the heat generated by the electrochemical reaction is carried out of the fuel cell by the coolant. The water balance equation is that the water flux through the proton membrane is the sum of concentration diffusion and electroosmotic drag, the water flux in the anode GDL is the same as the water flux of the proton membrane, and the water flux in the cathode GDL is the sum of the water flux of the proton membrane and the water generated by the electrochemical reaction. The heat balance equation is that the heat generated by the electrochemical reaction is equal to the heat transferred to the GDL by the catalyst layer, equal to the heat transferred to the flow channel by the GDL, and equal to the heat taken away by the coolant.

[0095] For example, if the water activity is between 0 and 1, the water content of the membrane can be expressed as:

[0096] ,

[0097] If the water activity is between 1 and 3, the water content of the membrane can be expressed as:

[0098] ,

[0099] If the water activity is above 3, the water content is 16.8.

[0100] For example, if the membrane water content is less than 2, the diffusion coefficients and 1e -6 ; If the membrane water content is between 2 and 3, the diffusion coefficient is:

[0101] ;

[0102] If the membrane water content is between 3 and 4.5, the diffusion coefficient is:

[0103] ;

[0104] If the membrane water content is above 4.5, the diffusion coefficient is 1.25e -6 .

[0105] So the concentration diffusion across the membrane results in:

[0106] ,

[0107] represents the molar flow rate, Represents the thickness of the proton membrane

[0108] The electroosmotic drag flow of water is *i / F, where is the electroosmotic drag coefficient, which can be expressed as:

[0109] .

[0110] The flow rate of nitrogen concentration diffusion is d_w* (difference in anode and cathode water concentration) / membrane thickness.

[0111] The diffusion of nitrogen on both sides of the membrane can be expressed as:

[0112] .

[0113] To simplify the calculation, it is assumed that within the fuel cell operating range, the diffusion coefficient of nitrogen is is a constant.

[0114] During static calculation, the relative humidity of the proton membrane can be expressed as:

[0115] ;

[0116] During transient calculations, the relative humidity of the proton membrane can be expressed as:

[0117] .

[0118] In a possible implementation, referring to FIG. 5 , the process of inputting the flow channel structure information into the outlet distribution structure model to obtain the target output data in the provided method includes: obtaining the target voltage according to the membrane side component information; inputting the target voltage into the outlet distribution structure model to obtain the target output data. The target voltage can be calculated using the reversible voltage and the loss voltage. In a fuel cell, the loss voltage can include the activation loss voltage, the ohmic loss voltage and the mass transfer loss voltage. The mass transfer loss in this embodiment can be ignored. The target voltage can be expressed as:

[0119] ,

[0120] Among them, the reversible voltage It can be expressed as:

[0121] .

[0122] Activation loss It can be expressed as:

[0123] ,

[0124] in It is the hydrogen permeation current density, which can be obtained by testing a small sample of the membrane electrode.

[0125] represents the exchange current density, which can be expressed as:

[0126] ,

[0127] in is the correlation factor of pressure, is the reference exchange current density, is the activation energy of the reaction.

[0128] Activation loss It can be further expressed as:

[0129] ,

[0130] in is the limiting current density.

[0131] In a single cell, the factors causing ohmic loss include the resistance of the membrane, the resistance of the catalyst layer, the resistance of the GDL, the resistance of the bipolar plate flow channel, and the contact resistance between the components. In order to simplify the calculation, only the ohmic loss caused by the ion conduction resistance of the proton membrane is considered in this embodiment. The resistance of the membrane electrode can be expressed as:

[0132] ,

[0133] in represents the thickness of the proton membrane in the membrane electrode, is the ionic conductivity of the proton membrane. The ionic conductivity of the proton membrane is related to temperature and membrane electrode water content and can be expressed as:

[0134] .

[0135] In one possible implementation, as shown in FIG6 , the method provided herein inputs a target voltage into an export allocation structure model to obtain a process of target output data, including: when the target voltage meets a preset voltage output condition, using a target current density value corresponding to the target voltage as target output data; when the target voltage does not meet the voltage output condition, determining an intermediate current density based on the target voltage; updating the working conditions based on the intermediate current density, and re-executing the process of obtaining the target voltage until the target voltage meets the voltage output condition, and using each intermediate current density as target output data.

[0136] In one embodiment, a single battery performance test method is provided. This embodiment uses the method applied to a server as an example for illustration. It is understandable that the method can also be applied to a terminal, and can also be applied to a system including a terminal and a server, and is implemented through the interaction between the terminal and the server. In this embodiment, the method includes the following steps:

[0137] S1: Obtaining single cell material composition information.

[0138] S2: Inputting the material components of the single cell into a preset inlet distribution structure model to obtain component distribution information corresponding to the inlet distribution structure model.

[0139] S3: Input the component distribution information into the bipolar plate flow channel unit to obtain the fluid properties in the flow channel.

[0140] The fluid properties in the flow channel include the pressure drop in the flow channel. The pressure drop in the flow channel is obtained by obtaining the fluid geometry information corresponding to the bipolar plate flow channel unit and performing algebraic operations on the fluid geometry information and component distribution information.

[0141] S4: Input the fluid properties in the flow channel into the membrane electrode unit to obtain membrane electrode information.

[0142] The membrane electrode information includes: diffusion layer component information and membrane side component information. The diffusion layer component information is obtained according to the fluid properties in the flow channel and the preset outlet conditions; and the membrane side component information is obtained according to the diffusion layer component information.

[0143] S5: Obtain the target voltage according to the membrane side component information.

[0144] S6: When the target voltage meets the preset voltage output condition, the target current density value corresponding to the target voltage is used as the target output data.

[0145] S7: When the target voltage does not meet the voltage output condition, determine an intermediate current density based on the target voltage.

[0146] S8: updating the working conditions based on the intermediate current density, re-executing the process of obtaining the target voltage until the target voltage meets the voltage output condition, and using each intermediate current density as the target output data.

[0147] The target output data is used by the operator to modify the inlet allocation structure model based on the target output data.

[0148] It should be understood that, although the steps in the flowcharts involved in the above embodiments are displayed in sequence according to the indication of the arrows, these steps are not necessarily executed in sequence according to the order indicated by the arrows. Unless there is a clear explanation in this article, the execution of these steps is not strictly limited in order, and these steps can be executed in other orders. Moreover, at least a part of the steps in the flowcharts involved in the above embodiments may include multiple steps or multiple stages, and these steps or stages are not necessarily executed at the same time, but can be executed at different times, and the execution order of these steps or stages is not necessarily carried out in sequence, but can be executed in turn or alternately with other steps or at least a part of the steps or stages in other steps.

[0149] Based on the same inventive concept, the embodiment of the present application also provides a single cell performance test device for implementing the single cell performance test method involved above. The implementation scheme for solving the problem provided by the device is similar to the implementation scheme recorded in the above method, so the specific limitations in one or more single cell performance test device embodiments provided below can refer to the limitations of the single cell performance test method above, and will not be repeated here.

[0150] In an exemplary embodiment, as shown in FIG. 7 , a single cell performance test device is provided, including: an information acquisition module 702 , an inlet allocation module 704 , a flow channel test module 706 and an outlet allocation module 708 , wherein:

[0151] An information acquisition module 702 is used to acquire the material composition information of the single cell;

[0152] An inlet allocation module 704 is used to input the material components of the single cell into a preset inlet allocation structure model to obtain component allocation information corresponding to the inlet allocation structure model;

[0153] A flow channel testing module 706 is used to input the component distribution information into the flow channel structure model to obtain the flow channel structure information, which includes the properties of the fluid in the flow channel and the membrane electrode performance information;

[0154] The outlet distribution module 708 is used to input the flow channel structure information into the outlet distribution structure model to obtain target output data. The target output data is used for the operator to modify the inlet distribution structure model based on the target output data.

[0155] In one embodiment, the flow channel structure model includes a bipolar plate flow channel unit and a membrane electrode unit, and the flow channel structure information includes fluid properties in the flow channel and membrane electrode information; the flow channel test module 706 is also used to input component distribution information into the bipolar plate flow channel unit to obtain fluid properties in the flow channel; and input the fluid properties in the flow channel into the membrane electrode unit to obtain membrane electrode information.

[0156] In one embodiment, the fluid properties in the flow channel include the pressure drop in the flow channel; the flow channel testing module 706 is also used to obtain the fluid geometry information corresponding to the bipolar plate flow channel unit; and perform algebraic operations on the fluid geometry information and component distribution information to obtain the pressure drop in the flow channel.

[0157] In one embodiment, the membrane electrode information includes: diffusion layer component information and membrane side component information; the flow channel testing module 706 is also used to obtain the diffusion layer component information according to the fluid properties in the flow channel and the preset outlet conditions; and obtain the membrane side component information according to the diffusion layer component information.

[0158] In one embodiment, the outlet allocation module 708 is further used to obtain a target voltage based on the membrane side component information; and input the target voltage into the outlet allocation structure model to obtain target output data.

[0159] In one of the embodiments, the outlet allocation module 708 is also used to use the target current density value corresponding to the target voltage as the target output data when the target voltage meets the preset voltage output condition; determine the intermediate current density based on the target voltage when the target voltage does not meet the voltage output condition; update the working conditions based on the intermediate current density, re-execute the process of obtaining the target voltage until the target voltage meets the voltage output condition, and use each intermediate current density as the target output data.

[0160] Each module in the above-mentioned single battery performance test device can be implemented in whole or in part by software, hardware and their combination. Each of the above-mentioned modules can be embedded in or independent of the processor in the computer device in the form of hardware, or can be stored in the memory of the computer device in the form of software, so that the processor can call and execute the corresponding operations of each of the above modules.

[0161] In an exemplary embodiment, a computer device is provided, which may be a server, and its internal structure diagram may be shown in FIG8. The computer device includes a processor, a memory, an input / output interface (Input / Output, referred to as I / O) and a communication interface. Among them, the processor, the memory and the input / output interface are connected through a system bus, and the communication interface is connected to the system bus through the input / output interface. Among them, the processor of the computer device is used to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system, a computer program and a database. The internal memory provides an environment for the operation of the operating system and the computer program in the non-volatile storage medium. The database of the computer device is used to store single battery material component information, component distribution information, flow channel structure information and target output data. The input / output interface of the computer device is used to exchange information between the processor and an external device. The communication interface of the computer device is used to communicate with an external terminal through a network connection. When the computer program is executed by the processor, a single battery performance test method is implemented.

[0162] Those skilled in the art will understand that the structure shown in FIG. 8 is merely a block diagram of a partial structure related to the solution of the present application, and does not constitute a limitation on the computer device to which the solution of the present application is applied. The specific computer device may include more or fewer components than shown in the figure, or combine certain components, or have a different arrangement of components.

[0163] In one embodiment, a computer device is further provided, including a memory and a processor, wherein a computer program is stored in the memory, and the processor implements the steps in the above method embodiments when executing the computer program.

[0164] In one embodiment, a computer-readable storage medium is provided, on which a computer program is stored. When the computer program is executed by a processor, the steps in the above-mentioned method embodiments are implemented.

[0165] In one embodiment, a computer program product is provided, including a computer program, which implements the steps in the above method embodiments when executed by a processor.

[0166] It should be noted that the user information (including but not limited to user device information, user personal information, etc.) and data (including but not limited to data used for analysis, stored data, displayed data, etc.) involved in this application are all information and data authorized by the user or fully authorized by all parties, and the collection, use and processing of relevant data must comply with relevant regulations.

[0167] Those skilled in the art can understand that all or part of the processes in the above-mentioned embodiments can be completed by instructing the relevant hardware through a computer program, and the computer program can be stored in a non-volatile computer-readable storage medium. When the computer program is executed, it can include the processes of the embodiments of the above-mentioned methods. Among them, any reference to the memory, database or other medium used in the embodiments provided in this application can include at least one of non-volatile and volatile memory. Non-volatile memory can include read-only memory (ROM), magnetic tape, floppy disk, flash memory, optical memory, high-density embedded non-volatile memory, resistive random access memory (ReRAM), magnetoresistive random access memory (MRAM), ferroelectric random access memory (FRAM), phase change memory (PCM), graphene memory, etc. Volatile memory can include random access memory (RAM) or external cache memory, etc. As an illustration and not limitation, RAM can be in various forms, such as static random access memory (SRAM) or dynamic random access memory (DRAM). The database involved in each embodiment provided in this application may include at least one of a relational database and a non-relational database. Non-relational databases may include distributed databases based on blockchains, etc., but are not limited to this. The processor involved in each embodiment provided in this application may be a general-purpose processor, a central processing unit, a graphics processor, a digital signal processor, a programmable logic device, a data processing logic device based on quantum computing, etc., but are not limited to this.

[0168] The technical features of the above embodiments may be combined arbitrarily. To make the description concise, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

[0169] The above embodiments only express several implementation methods of the present application, and the descriptions thereof are relatively specific and detailed, but they cannot be understood as limiting the scope of the present application. It should be pointed out that, for a person of ordinary skill in the art, several variations and improvements can be made without departing from the concept of the present application, and these all belong to the protection scope of the present application. Therefore, the protection scope of the present application shall be subject to the attached claims.

Claims

1. A single cell performance testing method, characterized in that: The method comprises: Obtaining single battery material composition information; Inputting the material components of the single cell into a preset inlet distribution structure model to obtain component distribution information corresponding to the inlet distribution structure model; Inputting the component distribution information into a flow channel structure model to obtain flow channel structure information, wherein the flow channel structure information includes fluid properties in the flow channel and membrane electrode performance information; The flow channel structure information is input into the outlet distribution structure model to obtain target output data, and the target output data is used for an operator to modify the inlet distribution structure model based on the target output data.

2. The method according to claim 1, characterized in that The flow channel structure model includes a bipolar plate flow channel unit and a membrane electrode unit, and the flow channel structure information includes fluid properties in the flow channel and membrane electrode information; The step of inputting the component distribution information into the flow channel structure model to obtain the flow channel structure information comprises: Inputting the component distribution information into the bipolar plate flow channel unit to obtain the fluid properties in the flow channel; The fluid properties in the flow channel are input into the membrane electrode unit to obtain membrane electrode information.

3. The method according to claim 2, characterized in that The fluid property in the flow channel includes a pressure drop in the flow channel; the process of inputting the component distribution information into the bipolar plate flow channel unit to obtain the fluid property in the flow channel includes: Acquiring fluid geometry information corresponding to the bipolar plate flow channel unit; The fluid geometry information and the component distribution information are processed by algebraic operations to obtain the pressure drop in the flow channel.

4. The method according to claim 2, characterized in that: Membrane electrode information includes: diffusion layer component information and membrane side component information; The step of inputting the fluid properties in the flow channel into the membrane electrode unit to obtain membrane electrode information includes: Obtaining the diffusion layer component information according to the fluid properties in the flow channel and the preset outlet conditions; The membrane side component information is obtained according to the diffusion layer component information.

5. The method according to claim 4, characterized in that The step of inputting the flow channel structure information into the outlet distribution structure model to obtain target output data includes: Obtaining a target voltage according to the membrane side component information; The target voltage is input into the export distribution structure model to obtain target output data.

6. The method according to claim 5, characterized in that The step of inputting the target voltage into the export distribution structure model to obtain target output data includes: When the target voltage meets the preset voltage output condition, the target current density value corresponding to the target voltage is used as the target output data; determining an intermediate current density based on the target voltage when the target voltage does not meet the voltage output condition; The working conditions are updated based on the intermediate current density, and the process of obtaining the target voltage is re-executed until the target voltage meets the voltage output condition, and each intermediate current density is used as the target output data.

7. A single cell performance testing device, characterized in that: The device comprises: An information acquisition module is used to obtain the material composition information of a single battery; An inlet allocation module, used to input the single cell material components into a preset inlet allocation structure model to obtain component allocation information corresponding to the inlet allocation structure model; A flow channel testing module, used for inputting the component distribution information into a flow channel structure model to obtain flow channel structure information, wherein the flow channel structure information includes fluid properties in the flow channel and membrane electrode performance information; The outlet distribution module is used to input the flow channel structure information into the outlet distribution structure model to obtain target output data, and the target output data is used for the operator to modify the inlet distribution structure model based on the target output data.

8. A computer device comprising a memory and a processor, wherein the memory stores a computer program, wherein: When the processor executes the computer program, the steps of the method according to any one of claims 1 to 6 are implemented.

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

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

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