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LBM prediction of effective thermal conductivity of lithium-ion battery graphite anode
He, Shaoyang1,2; Habte, Bereket Tsegai1,2; Jiang, Fangming1
2017-03-01
Source PublicationINTERNATIONAL COMMUNICATIONS IN HEAT AND MASS TRANSFER
Volume82Pages:1-8
AbstractStudy 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.
SubtypeArticle
KeywordLithium-ion Battery Graphite Anode Lattice Boltzmann Modeling Effective Thermal Conductivity Simulated Annealing Method
WOS HeadingsScience & Technology ; Physical Sciences ; Technology
DOI10.1016/j.icheatmasstransfer.2017.02.015
WOS Subject ExtendedThermodynamics ; Mechanics
WOS KeywordEFFECTIVE TRANSPORT-COEFFICIENTS ; POROUS MATERIALS ; RECONSTRUCTION ; ELECTRODES ; CATHODE ; ENERGY ; MODEL ; PACK ; MICROSTRUCTURE ; TEMPERATURE
Indexed BySCI
Language英语
Funding OrganizationNatural Science Foundation of Guangdong Province(2015A030308019 ; Science and Technology Plan of Guangzhou(2014J4100217) ; "100 Talents Plan" Project of the Chinese Academy of Sciences ; 2016A030313172)
WOS SubjectThermodynamics ; Mechanics
WOS IDWOS:000398753100001
Citation statistics
Document Type期刊论文
Identifierhttp://ir.giec.ac.cn/handle/344007/14101
Collection中国科学院广州能源研究所
Affiliation1.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
First Author AffilicationGuangZhou Institute of Energy Conversion,Chinese Academy of Sciences
Recommended Citation
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.
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