Knowledge Management System Of Guangzhou Institute of Energy Conversion, CAS
Reconstruction of LiCoO2 Cathode Microstructure and Prediction of Effective Transport Coefficients | |
Wu Wei1,2; Jiang Fang-Ming1; Zeng Jian-Bang1 | |
2013-11-01 | |
Source Publication | ACTA PHYSICO-CHIMICA SINICA
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Volume | 29Issue:11Pages:2361-2370 |
Abstract | Understanding the impact of microstructure of lithium-ion battery electrodes on performance is important for the development of relevant technologies. In the present work, the Monte Carlo Ising model was extended for the reconstruction of three-dimensional (3D) microstructure of a LiCoO2 lithium-ion battery cathode. The electrode is reconstructed with a resolution on the scale of 50 nanometers, which allows three individual phases to be evidently distinguished: LiCoO2 particles as the active material, pores or electrolyte and additives (polyvinylidene fluoride (PVDF) + carbon black). Characterization of the reconstructed cathode reveals some important structural and transport properties, including the geometrical connectivity and tortuosity of specific phases, the spatial distribution and volume fractions of specific phases, the specific surface area, and the pore size distribution. A D3Q15 lattice Boltzmann model (LBM) was developed and used to calculate the effective thermal conductivity and the effective transport coefficient of the electrolyte (or solid) phase. It is found that tortuosity values determined by LBM are more reliable than those predicted by the random walk simulation or the Bruggeman equation. |
Subtype | Article |
Keyword | Pore-scale Modeling To Lithium-ion Battery Microstructure Reconstruction Monte Carlo Approach Characterization Tortuosity Effective Transport Coefficient Lattice Boltzmann Method Random Walk Method |
WOS Headings | Science & Technology ; Physical Sciences |
DOI | 10.3866/PKU.WHXB201309032 |
WOS Subject Extended | Chemistry |
WOS Keyword | EFFECTIVE THERMAL-CONDUCTIVITY ; POROUS-MEDIA ; BOUNDARY-CONDITIONS ; BATTERY ELECTRODES ; 3D RECONSTRUCTION ; INSERTION CELL ; ION ; PERFORMANCE ; SIMULATION ; ALGORITHM |
Indexed By | SCI |
Language | 英语 |
WOS Subject | Chemistry, Physical |
WOS ID | WOS:000327290800010 |
Citation statistics | |
Document Type | 期刊论文 |
Identifier | http://ir.giec.ac.cn/handle/344007/10045 |
Collection | 中国科学院广州能源研究所 |
Affiliation | 1.Chinese Acad Sci, Guangzhou Inst Energy Convers, Lab Adv Energy Syst, CAS Key Lab Renewable Energy, Guangzhou 510640, Guangdong, Peoples R China 2.Univ Chinese Acad Sci, Beijing 100049, Peoples R China |
First Author Affilication | GuangZhou Institute of Energy Conversion,Chinese Academy of Sciences |
Recommended Citation GB/T 7714 | Wu Wei,Jiang Fang-Ming,Zeng Jian-Bang. Reconstruction of LiCoO2 Cathode Microstructure and Prediction of Effective Transport Coefficients[J]. ACTA PHYSICO-CHIMICA SINICA,2013,29(11):2361-2370. |
APA | Wu Wei,Jiang Fang-Ming,&Zeng Jian-Bang.(2013).Reconstruction of LiCoO2 Cathode Microstructure and Prediction of Effective Transport Coefficients.ACTA PHYSICO-CHIMICA SINICA,29(11),2361-2370. |
MLA | Wu Wei,et al."Reconstruction of LiCoO2 Cathode Microstructure and Prediction of Effective Transport Coefficients".ACTA PHYSICO-CHIMICA SINICA 29.11(2013):2361-2370. |
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