Knowledge Management System Of Guangzhou Institute of Energy Conversion, CAS
| 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 Publication | INTERNATIONAL COMMUNICATIONS IN HEAT AND MASS TRANSFER
 |
| Volume | 82Pages:1-8 |
| Abstract | 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. |
| Subtype | Article |
| Keyword | Lithium-ion Battery Graphite Anode Lattice Boltzmann Modeling Effective Thermal Conductivity Simulated Annealing Method |
| WOS Headings | Science & Technology ; Physical Sciences ; Technology |
| DOI | 10.1016/j.icheatmasstransfer.2017.02.015 |
| WOS Subject Extended | Thermodynamics ; Mechanics |
| WOS Keyword | EFFECTIVE TRANSPORT-COEFFICIENTS ; POROUS MATERIALS ; RECONSTRUCTION ; ELECTRODES ; CATHODE ; ENERGY ; MODEL ; PACK ; MICROSTRUCTURE ; TEMPERATURE |
| Indexed By | SCI |
| Language | 英语 |
| Funding Organization | 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) |
| WOS Subject | Thermodynamics ; Mechanics |
| WOS ID | WOS:000398753100001 |
| Citation statistics | |
| Document Type | 期刊论文 |
| Identifier | http://ir.giec.ac.cn/handle/344007/14101 |
| Collection | 中国科学院广州能源研究所 |
| Affiliation | 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 |
| First Author Affilication | GuangZhou 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. |
| Files in This Item: | There are no files associated with this item. | |||||
Items in the repository are protected by copyright, with all rights reserved, unless otherwise indicated.
Edit Comment