CN116029179B - Numerical simulation method and device for fuel cell flow channel structure and computer equipment - Google Patents
Numerical simulation method and device for fuel cell flow channel structure and computer equipment Download PDFInfo
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- CN116029179B CN116029179B CN202310324504.8A CN202310324504A CN116029179B CN 116029179 B CN116029179 B CN 116029179B CN 202310324504 A CN202310324504 A CN 202310324504A CN 116029179 B CN116029179 B CN 116029179B
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Abstract
The embodiment of the invention provides a numerical simulation method, a numerical simulation device and computer equipment for a fuel cell flow channel structure. The method comprises the following steps: performing discretization grid division on a fuel cell runner structure to generate runner structure grids; constructing a porous medium parameter model aiming at a membrane electrode corresponding to a fuel cell flow channel structure; finite element analysis is carried out on the porous medium parameter model based on the runner structural grid, and a simulation numerical value is generated; and carrying out numerical analysis on the simulation numerical value, and constructing a response evaluation model of the fuel cell flow channel structure. According to the technical scheme provided by the embodiment of the invention, the porous medium parameter model is subjected to finite element analysis based on the runner structure grid to generate the simulation value, the simulation value is subjected to numerical analysis, and the constructed response evaluation model of the fuel cell runner structure can accurately simulate the value of the fuel cell runner structure.
Description
Technical Field
The present invention relates to the technical field of fuel cells, and in particular, to a numerical simulation method, apparatus, and computer device for a fuel cell flow channel structure.
Background
The proton exchange membrane fuel cell has the advantages of high power generation efficiency, environmental friendliness and the like, and has wide application prospect. The unipolar plates are important component parts of the fuel cell stack, and the structural design plays an important role in influencing the overall performance of the fuel cell. The effect of bipolar plates in the actual stacking process is evaluated as a complex multi-physical field process of fluid flow, heat transfer, solid deformation, electrochemistry, etc.
In the related art, two main numerical simulation methods for the flow channel structure of the fuel cell are: a dynamic consideration of the process of multiple physical fields including electrochemistry has long calculation time of a response evaluation model and poor convergence, and compression deformation of a membrane electrode in an actual process is ignored; the other is to study the movement condition of the fluid medium in the flow channel from the perspective of traditional computational fluid dynamics (Computational Fluid Dynamics, abbreviated as CFD), but the response evaluation model is too simplified, so that the real-time evolution characteristic of the pore structure of the porous medium membrane electrode cannot be reflected, and the numerical value of the flow channel structure of the fuel cell cannot be accurately simulated.
Disclosure of Invention
In view of this, the embodiments of the present invention provide a numerical simulation method, apparatus and computer device for a fuel cell flow channel structure, which are used to accurately simulate the numerical value of the fuel cell flow channel structure.
In one aspect, an embodiment of the present invention provides a numerical simulation method for a fuel cell flow channel structure, including:
performing discretization grid division on the fuel cell runner structure to generate runner structure grids;
constructing a porous medium parameter model aiming at a membrane electrode corresponding to the fuel cell flow channel structure;
performing finite element analysis on the porous medium parameter model based on the runner structural grid to generate an analog value;
and carrying out numerical analysis on the analog value, and constructing a response evaluation model of the fuel cell flow channel structure.
Optionally, the constructing a porous medium parameter model for the membrane electrode corresponding to the fuel cell flow channel structure includes:
and constructing a porous medium parameter model aiming at the membrane electrode under the flow channel ridge and the flow channel groove of the fuel cell flow channel structure.
Optionally, the constructing a porous medium parameter model for the membrane electrode under the flow channel ridge and the flow channel groove of the fuel cell flow channel structure includes:
discretizing the viscous drag coefficient and the porosity of the membrane electrode under the flow channel ridge and the flow channel groove of the fuel cell flow channel structure to construct a porous medium parameter model.
Optionally, the analog value includes scalar speeds of different thicknesses of the porous layer, and the performing a numerical analysis on the analog value includes:
and carrying out weighted analysis calculation on scalar speeds of different thicknesses of the porous layer to generate a weighted average speed corresponding to each thickness.
Optionally, the calculating the scalar speed of the porous layer with different thickness by weighting analysis to generate a weighted average speed corresponding to each thickness includes:
and generating a weighted average speed corresponding to each thickness according to the obtained speed scalar value, the membrane electrode sectional area under the flow channel ridge and the membrane electrode sectional area under the flow channel groove.
Optionally, the step of performing weighted analysis calculation on the scalar speeds of the porous layers with different thicknesses, and after generating a weighted average speed corresponding to each thickness, further includes:
and carrying out weighted average calculation on the weighted average speed of each thickness to generate an average weighted body speed.
Optionally, the calculating the weighted average of the weighted average speed of each thickness to generate an average weighted body speed includes:
and generating an average weighted body speed corresponding to each sectional area for the acquired thickness of each membrane electrode and the acquired flow velocity of each sectional area.
In another aspect, an embodiment of the present invention provides a numerical simulation apparatus for a fuel cell flow channel structure, including:
the first generation module is used for carrying out discretization grid division on the fuel cell runner structure to generate runner structure grids;
the first construction module is used for constructing a porous medium parameter model aiming at the membrane electrode corresponding to the fuel cell flow channel structure;
the second generation module is used for carrying out finite element analysis on the porous medium parameter model based on the runner structural grid to generate a simulation numerical value;
and the second construction module is used for carrying out numerical analysis on the analog values and constructing a response evaluation model of the fuel cell runner structure.
In another aspect, an embodiment of the present invention provides a storage medium, including: the storage medium comprises a stored program, wherein the program is used for controlling equipment where the storage medium is located to execute the numerical simulation method of the fuel cell flow channel structure when running.
In another aspect, an embodiment of the present invention provides a computer device, including a memory and a processor, where the memory is configured to store information including program instructions, and the processor is configured to control execution of the program instructions, where the program instructions when loaded and executed by the processor implement steps of a numerical simulation method of a fuel cell flow channel structure as described above.
In the technical scheme of the numerical simulation method of the fuel cell runner structure provided by the embodiment of the invention, discretization grid division is carried out on the fuel cell runner structure to generate runner structure grids; constructing a porous medium parameter model aiming at a membrane electrode corresponding to a fuel cell flow channel structure; finite element analysis is carried out on the porous medium parameter model based on the runner structural grid, and a simulation numerical value is generated; and carrying out numerical analysis on the simulation numerical value, and constructing a response evaluation model of the fuel cell flow channel structure. According to the technical scheme provided by the embodiment of the invention, the porous medium parameter model is subjected to finite element analysis based on the runner structure grid to generate the simulation value, the simulation value is subjected to numerical analysis, and the constructed response evaluation model of the fuel cell runner structure can accurately simulate the value of the fuel cell runner structure.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings that are needed in the embodiments will be briefly described below, it being obvious that the drawings in the following description are only some embodiments of the present invention, and that other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
FIG. 1 is a flow chart of a numerical simulation method of a fuel cell flow channel structure according to an embodiment of the present invention;
FIG. 2 is a schematic diagram of a fuel cell flow channel structure according to an embodiment of the present invention;
FIG. 3 is a schematic diagram of a grid of runner structures according to an embodiment of the present invention;
FIG. 4 is a schematic diagram of a viscous drag coefficient according to an embodiment of the present invention;
FIG. 5 is a diagram illustrating a comparison of the numerical simulation results of a fuel cell flow channel structure according to an embodiment of the present invention;
fig. 6 is a schematic structural diagram of a numerical simulation device of a fuel cell flow channel structure according to an embodiment of the present invention;
fig. 7 is a schematic diagram of a computer device according to an embodiment of the present invention.
Detailed Description
For a better understanding of the technical solution of the present invention, the following detailed description of the embodiments of the present invention refers to the accompanying drawings.
It should be understood that the described embodiments are merely some, but not all, embodiments of the invention. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
The terminology used in the embodiments of the invention is for the purpose of describing particular embodiments only and is not intended to be limiting of the invention. As used in this application and the appended claims, the singular forms "a," "an," and "the" are intended to include the plural forms as well, unless the context clearly indicates otherwise.
It should be understood that the term "and/or" as used herein is merely one way of describing an association of associated objects, meaning that there may be three relationships, e.g., a and/or b, which may represent: the first and second cases exist separately, and the first and second cases exist separately. In addition, the character "/" herein generally indicates that the front and rear associated objects are an "or" relationship.
An embodiment of the present invention provides a numerical simulation method of a fuel cell flow channel structure, and fig. 1 is a flowchart of a numerical simulation method of a fuel cell flow channel structure according to an embodiment of the present invention, as shown in fig. 1, where the method includes:
In one embodiment of the invention, the steps are performed by a computer device. For example, the computer device includes a computer or tablet computer.
Fig. 2 is a schematic view of a flow channel structure of a fuel cell according to an embodiment of the present invention, as shown in fig. 2, the flow channel structure of the fuel cell includes a bipolar plate solid domain 1, a flow channel fluid domain 2, a membrane electrode porous domain 3, a flow channel ridge 4 and a flow channel groove 5.
Fig. 3 is a schematic diagram of a grid of a flow channel structure according to an embodiment of the present invention, where, as shown in fig. 3, the fuel cell flow channel structure is divided into grid of a strip-shaped flow channel structure by discretizing the grid.
Specifically, a porous medium parameter model is constructed for the membrane electrode under the flow channel ridge and the flow channel groove of the fuel cell flow channel structure.
Specifically, discretizing the viscous drag coefficient and the porosity of the membrane electrode under the flow channel ridge and the flow channel groove of the fuel cell flow channel structure to construct a porous medium parameter model.
In an embodiment of the present invention, the porous medium parameter model includes membrane electrode porous medium parameters at different positions, and the calculation expression of the membrane electrode porous medium parameters at different positions is as follows:
wherein Si is a momentum equation source term in the i (x, y, z) th direction, v is a matrix designated by the speed scalar values, D and C, mu e Is effective viscosity. The first term on the right side of the formula is a viscous loss term, and the second term is an inertial loss term. The porous medium parameter of the membrane electrode below the flow channel can be defined as matrix D1, and the porous medium parameter of the membrane electrode contacted below the non-flow channel (namely below the polar plate ridge) is defined as matrix D2.
In an embodiment of the present invention, if the reynolds number in the fuel cell flow channel structure is lower than 4000, the fuel cell flow channel structure is generally considered as laminar flow, the pressure drop is proportional to the velocity, the matrix C may be considered as 0, and the influence of convection acceleration and diffusion is ignored, so that the porous medium parameter model may further apply darcy's law:
wherein μ is the fluid viscosity, α is the permeability, +.>
For the flow rate>
Is the pressure drop.
In one embodiment of the present invention, the darcy's law may be applied to further calculate the pressure drop calculated in three coordinate directions (x, y, z) within the porous region of the membrane electrode:
wherein Δp x Δp is the pressure drop in the x-coordinate direction y Δp is the pressure drop in the y-coordinate direction z Is the pressure drop in the z coordinate direction, 1/alpha ij V, which is the term of matrix D in the above formula j Is the velocity component in the x, y and z directions, delta n x 、Δn y And Deltan z The actual thickness of the membrane electrode in the x, y, z directions, respectively.
FIG. 4 is a schematic diagram of the viscous drag coefficient according to an embodiment of the present invention, and as shown in FIG. 4, the viscous drag coefficient in the porous medium parametric model has the following relationship:
wherein 1/alpha 1 Is the viscosity resistance coefficient of the porous medium of the membrane electrode below the flow channel, 1/alpha 2 Is the viscous drag coefficient of the porous medium of the membrane electrode below the polar plate. As an alternative, 1/alpha 1 The viscous drag coefficient can be set to 4e11, 1/alpha 2 The viscous drag coefficient of (2) may be set to 8e11.
In one embodiment of the invention, for viscous flow, the effect of the porous medium on the diffusion term in the momentum equation can be explained using the effective viscosity:
wherein μ is the fluid viscosity, μ r Relative viscosity, mu e Is effective viscosity.
Wherein, the calculation of the relative viscosity can adopt a Breugem Correlation (corelation) theoretical formula:
wherein mu r Is the relative viscosity and γ is the porosity.
In one embodiment of the present invention, a physical velocity equation can be utilized, and assuming a general scalar is φ, the control equation for an isotropic porous medium is:
in one embodiment of the present invention, if the porous medium pores of the membrane electrode are in isotropic single-phase flow, the volume average mass conservation equation and the momentum conservation equation are satisfied. For example, the volume average mass conservation equation is:
the conservation of momentum equation is:
and 106, carrying out finite element analysis on the porous medium parameter model based on the runner structural grid to generate a simulation numerical value.
In an embodiment of the present invention, the inlet boundary may be set as a velocity inlet, the outlet boundary may be a pressure outlet, the inlet flow velocity may be 7m/s, and the corresponding flow velocity may be the flow velocity range of the fuel cell flow channel structure based on the parameters and boundary conditions of the flow channel structure grid.
As an alternative, a Fluent software tool can be used to perform finite element analysis on the porous media parametric model based on the runner structural grid to generate the simulated numerical values.
In one embodiment of the invention, the analog values include scalar speeds for different thicknesses of the porous layer.
And 108, carrying out numerical analysis on the analog value to construct a response evaluation model of the fuel cell runner structure.
Specifically, scalar speeds of different thicknesses of the porous layer are subjected to weighted analysis and calculation, and a weighted average speed corresponding to each thickness is generated.
Specifically, a weighted average speed corresponding to each thickness is generated according to the obtained speed scalar value, the membrane electrode sectional area under the flow channel ridge and the membrane electrode sectional area under the flow channel groove.
By the formula
And calculating the speed scalar value, the membrane electrode sectional area under the flow channel ridge and the membrane electrode sectional area under the flow channel groove corresponding to each thickness to generate a weighted average speed corresponding to each thickness so as to generate a response evaluation model. Wherein A is the sectional area of the membrane electrode, A 1 Is the sectional area of the membrane electrode under the runner groove, A 2 Is the sectional area of the membrane electrode under the ridge of the flow channel, v is the value of the velocity scale, v i And I is the weighted average speed corresponding to each thickness.
In an embodiment of the present invention, after generating the weighted average speed corresponding to each thickness, the method further includes: and carrying out weighted average calculation on the weighted average speed of each thickness to generate an average weighted body speed. Specifically, for the acquired thickness of each membrane electrode and flow velocity of each cross-sectional area, an average weighted body velocity corresponding to each cross-sectional area is generated.
By the formula
And calculating the thickness of each membrane electrode and the flow velocity of each sectional area to generate the average weighted body velocity corresponding to each sectional area. Where Hi is the thickness of each membrane electrode, delta i For each cross-sectional area of flow, < > a->
For each cross-sectional area, an average weighted body velocity may correspond to the velocity within the porous layer.
Fig. 5 is a schematic diagram of comparison of the results of numerical simulation of a fuel cell flow channel structure according to an embodiment of the present invention, as shown in fig. 5, in which fig. 5 includes a schematic diagram of results of a physical experiment of velocity in a porous layer, a schematic diagram of results of a homogeneous model, and a schematic diagram of results of a response evaluation model, where the schematic diagram of results of the response evaluation model provided in the embodiment of the present invention is more similar to the schematic diagram of results of the physical experiment of velocity in the porous layer.
In the technical scheme provided by the embodiment of the invention, discretization grid division is performed on the fuel cell runner structure to generate runner structure grids; constructing a porous medium parameter model aiming at a membrane electrode corresponding to a fuel cell flow channel structure; finite element analysis is carried out on the porous medium parameter model based on the runner structural grid, and a simulation numerical value is generated; and carrying out numerical analysis on the simulation numerical value, and constructing a response evaluation model of the fuel cell flow channel structure. According to the technical scheme provided by the embodiment of the invention, the porous medium parameter model is subjected to finite element analysis based on the runner structure grid to generate the simulation value, the simulation value is subjected to numerical analysis, and the constructed response evaluation model of the fuel cell runner structure can accurately simulate the value of the fuel cell runner structure.
In the technical scheme provided by the embodiment of the invention, the method has higher calculation precision than the traditional homogeneous model, higher calculation efficiency than the electrochemical model and accurate calculation result. The reliability of the simulation calculation of the fuel cell is improved, and the iterative optimization of the product research and development period can be accelerated.
An embodiment of the invention provides a numerical simulation device of a fuel cell flow channel structure. Fig. 6 is a schematic structural diagram of a numerical simulation device of a fuel cell flow channel structure according to an embodiment of the present invention, as shown in fig. 6, the device includes: a first generation module 11, a first construction module 12, a second generation module 13 and a second construction module 14.
The first generation module 11 is configured to perform discretized grid division on the flow channel structure of the fuel cell, and generate a grid of the flow channel structure.
The first construction module 12 is configured to construct a porous medium parameter model for a membrane electrode corresponding to a fuel cell flow channel structure.
The second generation module 13 is configured to perform finite element analysis on the porous medium parameter model based on the runner structural grid, and generate an analog value.
The second construction module 14 is configured to perform numerical analysis on the analog values to construct a response evaluation model of the fuel cell flow channel structure.
In an embodiment of the present invention, the first construction module 12 is specifically configured to construct a porous medium parameter model for the membrane electrode under the flow channel ridge and the flow channel groove of the fuel cell flow channel structure.
In an embodiment of the present invention, the first construction module 12 is specifically configured to perform discretization on the viscous drag coefficient and the porosity of the membrane electrode under the flow channel ridge and the flow channel groove of the flow channel structure of the fuel cell, so as to construct a porous medium parameter model.
In one embodiment of the present invention, the analog value includes scalar speeds of different thicknesses of the porous layer, and the second building block 14 is specifically configured to perform weighted analysis calculation on the scalar speeds of different thicknesses of the porous layer, so as to generate a weighted average speed corresponding to each thickness.
In an embodiment of the present invention, the second construction module 14 is specifically configured to generate a weighted average speed corresponding to each thickness according to the obtained speed scalar value, the membrane electrode cross-sectional area under the flow channel ridge, and the membrane electrode cross-sectional area under the flow channel groove corresponding to each thickness.
In an embodiment of the present invention, the second construction module 14 is further specifically configured to perform weighted average calculation on the weighted average speed of each thickness, so as to generate an average weighted body speed.
In an embodiment of the present invention, the second construction module 14 is further specifically configured to generate, for the acquired thickness of each membrane electrode and the acquired flow velocity of each cross-sectional area, an average weighted body velocity corresponding to each cross-sectional area.
In the technical scheme provided by the embodiment of the invention, discretization grid division is performed on the fuel cell runner structure to generate runner structure grids; constructing a porous medium parameter model aiming at a membrane electrode corresponding to a fuel cell flow channel structure; finite element analysis is carried out on the porous medium parameter model based on the runner structural grid, and a simulation numerical value is generated; and carrying out numerical analysis on the simulation numerical value, and constructing a response evaluation model of the fuel cell flow channel structure. According to the technical scheme provided by the embodiment of the invention, the porous medium parameter model is subjected to finite element analysis based on the runner structure grid to generate the simulation value, the simulation value is subjected to numerical analysis, and the constructed response evaluation model of the fuel cell runner structure can accurately simulate the value of the fuel cell runner structure.
The numerical simulation device of the fuel cell flow channel structure provided in this embodiment may be used to implement the numerical simulation method of the fuel cell flow channel structure in fig. 1, and the detailed description may refer to the embodiment of the numerical simulation method of the fuel cell flow channel structure, and the description will not be repeated here.
The embodiment of the invention provides a storage medium, which comprises a stored program, wherein the program is used for controlling equipment where the storage medium is located to execute the steps of the embodiment of the numerical simulation method of the fuel cell flow channel structure, and the specific description can be seen from the embodiment of the numerical simulation method of the fuel cell flow channel structure.
The embodiment of the invention provides a computer device, which comprises a memory and a processor, wherein the memory is used for storing information comprising program instructions, the processor is used for controlling the execution of the program instructions, and the program instructions realize the steps of the embodiment of the numerical simulation method of the fuel cell flow channel structure when being loaded and executed by the processor.
Fig. 7 is a schematic diagram of a computer device according to an embodiment of the present invention. As shown in fig. 7, the computer device 20 of this embodiment includes: the processor 21, the memory 22, and the computer program 23 stored in the memory 22 and capable of running on the processor 21, wherein the computer program 23 when executed by the processor 21 implements the numerical simulation method applied to the fuel cell flow channel structure in the embodiment, and is not described herein in detail for avoiding repetition. Alternatively, the computer program when executed by the processor 21 implements the functions of each model/unit in the numerical simulation apparatus applied to the fuel cell flow channel structure in the embodiment, and in order to avoid repetition, the description is omitted here.
The processor 21 may be a central processing unit (Central Processing Unit, CPU), but may also be other general purpose processors, digital signal processors (Digital Signal Processor, DSP), application specific integrated circuits (Application Specific Integrated Circuit, ASIC), field-programmable gate arrays (Field-Programmable Gate Array, FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, or the like. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like.
The memory 22 may be an internal storage unit of the computer device 20, such as a hard disk or memory of the computer device 20. The memory 22 may also be an external storage device of the computer device 20, such as a plug-in hard disk, a Smart Media Card (SMC), a Secure Digital (SD) Card, a Flash memory Card (Flash Card) or the like, which are provided on the computer device 20. Further, the memory 22 may also include both internal and external storage units of the computer device 20. The memory 22 is used to store computer programs and other programs and data required by the computer device. The memory 22 may also be used to temporarily store data that has been output or is to be output.
It will be clear to those skilled in the art that, for convenience and brevity of description, specific working procedures of the above-described systems, apparatuses and units may refer to corresponding procedures in the foregoing method embodiments, which are not repeated herein.
In the several embodiments provided in the present invention, it should be understood that the disclosed systems, devices, and methods may be implemented in other manners. For example, the apparatus embodiments described above are merely illustrative, e.g., the division of the elements is merely a logical function division, and there may be additional divisions when actually implemented, e.g., multiple elements or components may be combined or integrated into another system, or some features may be omitted or not performed. Alternatively, the coupling or direct coupling or communication connection shown or discussed with each other may be an indirect coupling or communication connection via some interfaces, devices or units, which may be in electrical, mechanical or other form.
The units described as separate units may or may not be physically separate, and units shown as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.
In addition, each functional unit in the embodiments of the present invention may be integrated in one processing unit, or each unit may exist alone physically, or two or more units may be integrated in one unit. The integrated units may be implemented in hardware or in hardware plus software functional units.
The integrated units implemented in the form of software functional units described above may be stored in a computer readable storage medium. The software functional unit is stored in a storage medium, and includes several instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) or a Processor (Processor) to perform part of the steps of the methods according to the embodiments of the present invention. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a random access Memory (Random Access Memory, RAM), a magnetic disk, or an optical disk, or other various media capable of storing program codes.
The foregoing description of the preferred embodiments of the invention is not intended to be limiting, but rather to enable any modification, equivalent replacement, improvement or the like to be made within the spirit and principles of the invention.
Claims (8)
1. A numerical simulation method of a fuel cell flow channel structure, comprising:
performing discretization grid division on the fuel cell runner structure to generate runner structure grids;
constructing a porous medium parameter model aiming at a membrane electrode corresponding to the fuel cell flow channel structure;
performing finite element analysis on the porous medium parameter model based on the runner structural grid to generate an analog value;
performing numerical analysis on the analog value to construct a response evaluation model of the fuel cell flow channel structure;
the analog values include scalar velocities of different thicknesses of the porous layer, the performing a numerical analysis of the analog values comprising:
performing weighted analysis calculation on scalar speeds of different thicknesses of the porous layer to generate a weighted average speed corresponding to each thickness;
the step of carrying out weighted analysis calculation on scalar speeds of different thicknesses of the porous layer to generate a weighted average speed corresponding to each thickness comprises the following steps:
and generating a weighted average speed corresponding to each thickness according to the obtained speed scalar value, the membrane electrode sectional area under the flow channel ridge and the membrane electrode sectional area under the flow channel groove.
2. The method of claim 1, wherein constructing a porous media parametric model for the membrane electrode corresponding to the fuel cell flow channel structure comprises:
and constructing a porous medium parameter model aiming at the membrane electrode under the flow channel ridge and the flow channel groove of the fuel cell flow channel structure.
3. The method of claim 2, wherein constructing a porous media parametric model for the membrane electrode under the flow channel ridge and the flow channel groove of the fuel cell flow channel structure comprises:
discretizing the viscous drag coefficient and the porosity of the membrane electrode under the flow channel ridge and the flow channel groove of the fuel cell flow channel structure to construct a porous medium parameter model.
4. The method of claim 1, wherein the step of performing a weighted analysis calculation on scalar velocities of different thicknesses of the porous layer to generate a weighted average velocity for each thickness further comprises:
and carrying out weighted average calculation on the weighted average speed of each thickness to generate an average weighted body speed.
5. The method of claim 4, wherein said weighted average calculation of the weighted average velocity for each thickness generates an average weighted body velocity, comprising:
and generating an average weighted body speed corresponding to each sectional area for the acquired thickness of each membrane electrode and the acquired flow velocity of each sectional area.
6. A numerical simulation apparatus of a fuel cell flow path structure, comprising:
the first generation module is used for carrying out discretization grid division on the fuel cell runner structure to generate runner structure grids;
the first construction module is used for constructing a porous medium parameter model aiming at the membrane electrode corresponding to the fuel cell flow channel structure;
the second generation module is used for carrying out finite element analysis on the porous medium parameter model based on the runner structural grid to generate a simulation numerical value;
the second construction module is used for carrying out numerical analysis on the analog values and constructing a response evaluation model of the fuel cell runner structure;
the simulation numerical value comprises scalar speeds of different thicknesses of the porous layer, and the second construction module is specifically used for carrying out weighted analysis calculation on the scalar speeds of different thicknesses of the porous layer to generate weighted average speeds corresponding to each thickness;
the second construction module is specifically configured to generate a weighted average speed corresponding to each thickness according to the obtained speed scalar value, the membrane electrode sectional area under the flow channel ridge and the membrane electrode sectional area under the flow channel groove corresponding to each thickness.
7. A storage medium, comprising: the storage medium includes a stored program, wherein the program, when executed, controls a device in which the storage medium is located to execute the numerical simulation method of the fuel cell flow channel structure according to any one of claims 1 to 5.
8. A computer device comprising a memory for storing information including program instructions and a processor for controlling execution of the program instructions, characterized in that the program instructions, when loaded and executed by the processor, implement the steps of the numerical simulation method of a fuel cell flow channel structure as claimed in any one of claims 1 to 5.
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| CN112582635A (en) * | 2020-12-09 | 2021-03-30 | 南京航空航天大学 | Method for optimizing PEMFC bipolar plate flow channel section and three-dimensional proton exchange membrane fuel cell |
| WO2022257308A1 (en) * | 2021-06-10 | 2022-12-15 | 大连理工大学 | Joint simulation-based fuel assembly multi-subject structure design optimization method |
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| 基于代理模型的直流道质子交换膜燃料电池优化设计;陈超;王硕;兰海兵;杨林林;吴私;宋学官;;大连理工大学学报(第03期);27-33 * |
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