CN106159296A - A kind of computational methods of SOFC combination electrode character - Google Patents
A kind of computational methods of SOFC combination electrode character Download PDFInfo
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- CN106159296A CN106159296A CN201610270337.3A CN201610270337A CN106159296A CN 106159296 A CN106159296 A CN 106159296A CN 201610270337 A CN201610270337 A CN 201610270337A CN 106159296 A CN106159296 A CN 106159296A
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- H—ELECTRICITY
- H01—ELECTRIC ELEMENTS
- H01M—PROCESSES OR MEANS, e.g. BATTERIES, FOR THE DIRECT CONVERSION OF CHEMICAL ENERGY INTO ELECTRICAL ENERGY
- H01M8/00—Fuel cells; Manufacture thereof
- H01M8/04—Auxiliary arrangements, e.g. for control of pressure or for circulation of fluids
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- H—ELECTRICITY
- H01—ELECTRIC ELEMENTS
- H01M—PROCESSES OR MEANS, e.g. BATTERIES, FOR THE DIRECT CONVERSION OF CHEMICAL ENERGY INTO ELECTRICAL ENERGY
- H01M8/00—Fuel cells; Manufacture thereof
- H01M8/04—Auxiliary arrangements, e.g. for control of pressure or for circulation of fluids
- H01M8/04298—Processes for controlling fuel cells or fuel cell systems
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- H—ELECTRICITY
- H01—ELECTRIC ELEMENTS
- H01M—PROCESSES OR MEANS, e.g. BATTERIES, FOR THE DIRECT CONVERSION OF CHEMICAL ENERGY INTO ELECTRICAL ENERGY
- H01M8/00—Fuel cells; Manufacture thereof
- H01M8/10—Fuel cells with solid electrolytes
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- H—ELECTRICITY
- H01—ELECTRIC ELEMENTS
- H01M—PROCESSES OR MEANS, e.g. BATTERIES, FOR THE DIRECT CONVERSION OF CHEMICAL ENERGY INTO ELECTRICAL ENERGY
- H01M8/00—Fuel cells; Manufacture thereof
- H01M8/10—Fuel cells with solid electrolytes
- H01M8/12—Fuel cells with solid electrolytes operating at high temperature, e.g. with stabilised ZrO2 electrolyte
- H01M8/1233—Fuel cells with solid electrolytes operating at high temperature, e.g. with stabilised ZrO2 electrolyte with one of the reactants being liquid, solid or liquid-charged
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- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02E—REDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
- Y02E60/00—Enabling technologies; Technologies with a potential or indirect contribution to GHG emissions mitigation
- Y02E60/30—Hydrogen technology
- Y02E60/50—Fuel cells
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Abstract
The invention discloses the computational methods of a kind of SOFC (SOFC) combination electrode character, the method object uses the various random morphologies of SOFC combination electrode that spheroidal particle random distribution method or electron-microscope scanning method obtain.The combination electrode random structure being directed to whole reconstruct builds Regular grid, and gives each grid lattice point by contrast mesh point by corresponding material character.Finally these lattice point information is imported the related electrode character such as the effective electron electrical conductivity of finite element analysis software numerical computations combination electrode, effective ion electrical conductivity, permeability, effective triple line length, pore radius distribution.Thus reach to use the different microstructure appearance purpose to combination electrode character effect of Regular grid research of band random structure characteristic information.It is prevented effectively from and is directed to the technical barrier that random structure carries out subnetting and numerical solution brings.
Description
Technical field
The property analysis that the present invention relates to the multiple combination electrode of fuel cell calculates field, specifically a kind of soild oxide
The computational methods of combined electrode of fuel cell character.
Background technology
A kind of energy conversion devices of SOFC (Solid Oxide Fuel Cell:SOFC) conduct, with
Its efficiently, cleaning and fuel forms is various etc. that outstanding advantages enjoys people to pay close attention to.One typical SOFC is mainly by negative electrode, electrolysis
Matter, anode and bipolar plates composition.Along with the development of combination electrode function, composition and processing technology, simple homogeneous supposition
Numerical simulation can not fully meet SOFC Composites Analysis and the needs of structure designs.Because answering for different
For composite electrode preparation method and preparation condition, its direct result is to result in different electrode microstructure patterns, and thus leads
Cause different electrode performances.Therefore, deeply understand the concrete random structure pattern mechanism of action to electrode performance, be obtain excellent
The key factor of polarizing electrode design.In recent years, focused ion bundle scanning microscope (Focused Ion-Beam Scanning
Electron Microscopy) and x-ray tomography (X-Ray Tomography) be used for obtaining high-resolution
Combination electrode sectional view.By the judgement of different materials phase gray scale in pair cross-section figure, thus realize microscopic electrode structure
Three-dimensionalreconstruction.With it, our shape characteristic that can more careful be accurately obtained within combination electrode.But owing to high power is put
Big reason, the method is only used for reconstructing the three dimensional structure in combination electrode very small part volume.Kee group in 2010
Method based on spheroidal particle random distribution constructs LSM/YSZ combination electrode morphology, and attempts using 4 body nets
Lattice random structure granuloplastic to YSZ pattern directly carries out subnetting.And then calculate at this region charging electric charge conservation equation
The effective ion electrical conductivity of combination electrode.Being similar to, Mitra group is also for answering of being obtained by focused ion bundle scanning microscope
Composite electrode microstructure, solves the effective ion electrical conductivity of combination electrode by the way of direct subnetting.The method is that people enter
One step is carried out the random structure analysis of SOFC electrode and has been done good trial.But have 2 it is noted that (a) due to
The feature of irregular structure, complicated network result in big amount of calculation and numerical instability, and therefore the method can only
Calculate for the least region, and be difficult to be coupled more equation further the microscopic electrochemical of SOFC is reacted
Mechanism does careful analysis；B () the method is only used for calculating limited structure and character, be not suitable for by mixing conductance material
Material (such as the LSCM or the LSCF of negative electrode of anode) and the pure performance leading the electrode structure that ionic material (such as YSZ) mixes are pre-
Survey.And predicted by the character of the combined electrode structure of more than three kinds material mixing.Because while LSCF and YSZ has
Ionic conduction ability, but both have different intrinsic conductivities.
Summary of the invention
The present invention just in view of a) the random morphology of careful consideration for development combination electrode importance with
B) two factors of defect of existing SOFC combination electrode emulational computation, propose a kind of SOFC compound electric
The computational methods of polarity matter.
In order to solve above-mentioned technical problem, the solution technical scheme of the present invention is: a kind of SOFC
The computational methods of combination electrode character, comprise the steps:
(1) method of spheroidal particle random distribution or electron-microscope scanning figure is used to reconstruct the porous of LSM/YSZ combination electrode
Random microstructure, and record the coordinate of each granule, radius and attribute.
(2) as a example by the biphase combined electrode structure of simplest LSM/YSZ, it is combined according to the LSM/YSZ that step (1) reconstructs
The length size of the random microstructure of porous of electrode, builds a regular matrix grid, and each by comparison
The enantiomorphic relationship of the electrode structure that individual mesh point obtains with reconstruct, determines material phase attribute (x, y, z, the electronics material of this mesh point
Material granule, ionic material granule, gas phase).
(3) by material phase attribute (x, y, z, electronic material granule, ionic material granule, the gas of mesh point in step (2)
Phase) information as input file import finite element software COMSOL Multiphysics, loaded ion charge conservation equation, and
Electromotive force border V1, V2 are set at structure two ends, by the way of numerical solution, obtain the electric current I by cross section.
(4) the effective ion electrical conductivity calculating this material isWherein, A is this combination electrode cross section
Long-pending, L is combination electrode geometric thickness.
The present invention has the beneficial effects that: the present invention reconstructs combination electrode initially with the method for spheroidal particle random distribution
Random microscopic appearance, and explore the Regular grid sign combination electrode random structure of band different materials phase character information
Pattern, and method based on this Regular grid prediction combination electrode relevant nature, for research random structure pattern further
SOFC combination electrode is laid a good foundation.
Accompanying drawing explanation
Fig. 1 is the LSM/YSZ combination electrode micro-structure diagram of a kind of embodiment of the inventive method reconstruct.
Fig. 2 is the LSM/YSZ combination electrode microstructure matrix grid figure of a kind of embodiment of the inventive method reconstruct.
Fig. 3 is that the LSM/YSZ combination electrode microstructure matrix grid of a kind of embodiment of the inventive method reconstruct is by it
The electric current of cross section solve schematic diagram.
Detailed description of the invention
The present invention is done further as a example by typical LSM/YSZ binary SOFC combination electrode below with reference to accompanying drawing 1-3
Explanation, but should not limit the scope of the invention with this.
For convenience of explanation and understand that the noun of locality that technical scheme, following description used is all with accompanying drawing institute
The orientation shown is as the criterion.
The computational methods (abbreviation method) of the present invention a kind of SOFC combination electrode character, its feature exists
In, comprise the steps:
(1) method of spheroidal particle random distribution is used to reconstruct the porous random microcosmic knot of LSM/YSZ combination electrode
Structure (sees Fig. 1), and records the coordinate of each granule, radius and attribute；The attribute of described granule is for leading electric particles or leading
Ion particles.
(2) the length chi of the random microstructure of porous of the LSM/YSZ combination electrode reconstructed according to step (1)
Very little, build a regular matrix grid (seeing Fig. 2), and by compareing the electrode structure that each mesh point obtains with reconstruct
Enantiomorphic relationship, determine the material phase attribute (x, y, z, electronic material granule, ionic material granule, pore) of this mesh point.Example
As, if mesh point coordinate is in the radius leading ion particles, be represented by (x, y, z, 0,0).Wherein
Intrinsic conductivity for YSZ material.In this way, an irregular structure can be reduced to a band difference material by us
The Regular grid input file of material attribute information.
(3) by material phase attribute (x, y, z, electronic material granule, ionic material granule, the gas of mesh point in step (2)
Hole) information as input file import finite element software Comsol Multiphysics, loaded ion charge conservation equation, and
Electromotive force border V1, V2 are set at structure two ends, by the way of numerical solution, obtain the electric current I (seeing Fig. 3) by cross section.
(4) the effective ion electrical conductivity calculating this material isWherein, A is that this combination electrode geometry is horizontal
Sectional area, L is combination electrode geometric thickness.
Can calculate further LSM/YSZ combination electrode some other such as electronic conductivity, porous media permeability,
The nature parameters such as Diffusion of gas stream coefficient, thermal conductivity coefficient and pore-size distribution.
The inventive method, the method initially with spheroidal particle random distribution reconstructs the random of multicomponent SOFC combination electrode
Then morphology.Then the combined electrode structure being directed to whole reconstruct builds Regular grid, and by contrast grid
Corresponding material character is given each grid lattice point by point.Both the Regular grid having used band random structure characteristic information is studied not
With the microstructure appearance impact on combination electrode character.Thus avoid being directed to random structure and carry out subnetting and numerical solution
The series of problems brought.Finally these lattice point information is imported effective electricity of finite element analysis software numerical computations combination electrode
The related electrode character such as electron conductivity, effective ion electrical conductivity, permeability, effective triple line length, pore radius distribution, thus
Reach to use regular grid that random structure is carried out the purpose that exact value solves.The inventive method is that research is random further
Then structure and morphology SOFC combination electrode is laid a good foundation.The announcement of book and teaching, of the art according to the above description
Above-mentioned embodiment can also be changed and revise by technical staff.Therefore, the invention is not limited in and be disclosed above and retouch
Some modifications and changes of the present invention be should also be as falling into the scope of the claims of the present invention by the detailed description of the invention stated
In.Although additionally, employ some specific terms in this specification, but these terms are merely for convenience of description, the most right
The present invention constitutes any restriction.
The present invention does not addresses part and is applicable to prior art.
Claims (4)
1. the computational methods of a SOFC combination electrode character, it is characterised in that comprise the steps:
(1) spheroidal particle random distribution method or electron-microscope scanning figure is used to reconstruct the 3-dimensional porous of multicomponent SOFC combination electrode
Random morphology, and record the coordinate of each granule, radius and material properties；
(2) as a example by two yuan of SOFC combination electrodes of LSM/YSZ, the length of the random microstructure of porous reconstructed according to step (1),
Size wide, high, builds a regular matrix grid, and by compareing electrode structure that each mesh point obtains with reconstruct
Enantiomorphic relationship, determines the material phase attribute (x, y, z, electronic material granule, ionic material granule, pore) of this mesh point；
(3) by material phase attribute (x, y, z, electronic material granule, ionic material granule, the pore) letter of mesh point in step (2)
Cease and import finite element software Comsol Multiphysics, loaded ion charge conservation equation, and in structure as input file
Two ends arrange electromotive force border V1, V2, obtain the electric current I by cross section by the way of numerical solution；
(4) the effective ion electrical conductivity calculating this material isWherein, A is this combination electrode geometrical surface,
L is combination electrode geometric thickness.
The computational methods of a kind of SOFC combination electrode character the most according to claim 1, its feature
Being, in described step (1), the attribute of granule is for leading electric particles or leading ion particles.
The computational methods of a kind of SOFC combination electrode character the most according to claim 1, its feature
Being, in described step (1), the attribute of granule can also diversion for the mixing electricity the most electrically conductive son of granule.
The computational methods of a kind of SOFC combination electrode character the most according to claim 1, its feature
Being, in described step (1), the attribute of granule is that pore creating material granule i.e. can be with conduction gas.
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| Application Number | Priority Date | Filing Date | Title |
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| CN201610270337.3A CN106159296B (en) | 2016-04-28 | A kind of calculation method of solid oxide fuel cell combination electrode property |
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| CN201610270337.3A CN106159296B (en) | 2016-04-28 | A kind of calculation method of solid oxide fuel cell combination electrode property |
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| CN106159296A true CN106159296A (en) | 2016-11-23 |
| CN106159296B CN106159296B (en) | 2019-07-16 |
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Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108460188A (en) * | 2018-02-05 | 2018-08-28 | 电子科技大学 | A kind of charge applied to PIC static electric charge models distributes finite element FEM derivation algorithms |
| CN112578008A (en) * | 2020-12-03 | 2021-03-30 | 江苏科技大学 | Performance analysis method for three-dimensional microstructure of ternary composite electrode of proton ceramic fuel cell |
| CN115931667A (en) * | 2022-07-26 | 2023-04-07 | 中国石油大学(华东) | Complex conductivity parameter-based method for evaluating permeability of hydrate-containing sediment sample |
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| JP2013080608A (en) * | 2011-10-04 | 2013-05-02 | Toyota Motor Corp | Electrode conductivity calculation system and electrode conductivity calculation method |
| CN104091960A (en) * | 2014-07-25 | 2014-10-08 | 哈尔滨工业大学 | Method for regulating and controlling microstructure of oxide electrode in working period of fuel cell |
| CN104156539A (en) * | 2014-08-22 | 2014-11-19 | 江苏科技大学 | Method for predicting gas transmission curvature factors of solid oxide fuel cell electrode |
Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
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| JP2013080608A (en) * | 2011-10-04 | 2013-05-02 | Toyota Motor Corp | Electrode conductivity calculation system and electrode conductivity calculation method |
| CN104091960A (en) * | 2014-07-25 | 2014-10-08 | 哈尔滨工业大学 | Method for regulating and controlling microstructure of oxide electrode in working period of fuel cell |
| CN104156539A (en) * | 2014-08-22 | 2014-11-19 | 江苏科技大学 | Method for predicting gas transmission curvature factors of solid oxide fuel cell electrode |
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Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108460188A (en) * | 2018-02-05 | 2018-08-28 | 电子科技大学 | A kind of charge applied to PIC static electric charge models distributes finite element FEM derivation algorithms |
| CN108460188B (en) * | 2018-02-05 | 2021-06-01 | 电子科技大学 | Charge distribution finite element FEM solving algorithm applied to PIC electrostatic model |
| CN112578008A (en) * | 2020-12-03 | 2021-03-30 | 江苏科技大学 | Performance analysis method for three-dimensional microstructure of ternary composite electrode of proton ceramic fuel cell |
| CN115931667A (en) * | 2022-07-26 | 2023-04-07 | 中国石油大学(华东) | Complex conductivity parameter-based method for evaluating permeability of hydrate-containing sediment sample |
| CN115931667B (en) * | 2022-07-26 | 2024-01-05 | 中国石油大学(华东) | Method for evaluating permeability of hydrate sediment sample based on complex conductivity parameter |
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