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LBM prediction of effective thermal conductivity of lithium-ion battery graphite anode

文献类型：期刊论文

作者He, Shaoyang1,2; Habte, Bereket Tsegai1,2; Jiang, Fangming1
刊名INTERNATIONAL COMMUNICATIONS IN HEAT AND MASS TRANSFER
出版日期2017-03-01
卷号82页码:1-8
关键词Lithium-ion Battery Graphite Anode Lattice Boltzmann Modeling Effective Thermal Conductivity Simulated Annealing Method
DOI10.1016/j.icheatmasstransfer.2017.02.015
文献子类Article
英文摘要Study of thermal characteristics of a lithium-ion battery plays a vital role in determining and enhancing the performance and safety of the battery. This paper predicts the effective thermal conductivity of a graphite anode having microstructure reconstructed by an ellipsoid based simulated annealing method. A lattice-Boltzmann (LB) model is established for simulating the thermal diffusion process in the computer-generated 3D microstructure of graphite anode. The effective thermal conductivities derived from LB simulation results indicate evident anisotropic feature of the graphite anode. The numerical results show that the particle size does have some effects on the effective thermal conductivity, but the effects are generally not significant. The real graphite may have particles with particle size following a certain statistical distribution, very probably the normal distribution, which is found to weaken the anisotropy of the electrode. Comparing the numerical data with the theoretical predictions by effective media theory (EMT) suggests that the suitable value of the empirical correction factor (I) for the effective thermal conductivity of graphite anode in the electrode through-plane direction is about 6.0 and in the other direction about 4.5. (C) 2017 Elsevier Ltd. All rights reserved.
WOS关键词EFFECTIVE TRANSPORT-COEFFICIENTS ; POROUS MATERIALS ; RECONSTRUCTION ; ELECTRODES ; CATHODE ; ENERGY ; MODEL ; PACK ; MICROSTRUCTURE ; TEMPERATURE
语种英语
WOS记录号WOS:000398753100001
资助机构Natural Science Foundation of Guangdong Province(2015A030308019 ; Science and Technology Plan of Guangzhou(2014J4100217) ; "100 Talents Plan" Project of the Chinese Academy of Sciences ; 2016A030313172)
源URL[http://ir.giec.ac.cn/handle/344007/14101]  
专题中国科学院广州能源研究所
作者单位1.Chinese Acad Sci, Guangzhou Inst Energy Convers, CAS Key Lab Renewable Energy, Lab Adv Energy Syst, Beijing 100864, Peoples R China
2.Univ Chinese Acad Sci, Beijing, Peoples R China
推荐引用方式
GB/T 7714		 He, Shaoyang,Habte, Bereket Tsegai,Jiang, Fangming. LBM prediction of effective thermal conductivity of lithium-ion battery graphite anode[J]. INTERNATIONAL COMMUNICATIONS IN HEAT AND MASS TRANSFER,2017,82:1-8.
APA He, Shaoyang,Habte, Bereket Tsegai,&Jiang, Fangming.(2017).LBM prediction of effective thermal conductivity of lithium-ion battery graphite anode.INTERNATIONAL COMMUNICATIONS IN HEAT AND MASS TRANSFER,82,1-8.
MLA He, Shaoyang,et al."LBM prediction of effective thermal conductivity of lithium-ion battery graphite anode".INTERNATIONAL COMMUNICATIONS IN HEAT AND MASS TRANSFER 82(2017):1-8.

入库方式： OAI收割

来源：广州能源研究所

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