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LBM prediction of effective electric and species transport properties of lithium-ion battery graphite anode
He, Shaoyang1,2; Habte, Bereket Tsegai1,2; Jiang, Fangming1
2016-11-15
Source PublicationSOLID STATE IONICS
Volume296Pages:146-153
AbstractNumerical models play a vital role in the developing and performance optimization of lithium-ion batteries. The key factor to the prediction accuracy of macro-scale models is the specification of effective transport properties. This study, based on the anisotropic microstructure of graphite anode reconstructed by an ellipsoid-based simulated annealing method (SAM), established a mesoscopic model of diffusion process to predict the effective electric and species transport properties of lithium-ion battery graphite anode via lattice-Boltzmann (LB) method. The effect of particle size on the transport properties of graphite anode was discussed in detail. In the electrode through-plane direction, if the ellipsoidal particles are thinner and flatter, both the effective electric and species transport properties decrease; in the other two directions, the effective electronic charge transport properties barely change with the change of particle size while the effective species transport properties increase along with the increase of the size of particles. In addition, to get a more accurate replica of the real graphite anode, we assumed the sizes of solid particles follow a normal distribution and reconstructed the microstructure of electrode. The LB calculation results reveal that the normal distribution of particle size increases the electronic charge conductivity in the electrode through-plane direction and decreases in the other two directions, compared to the electrode of constant-sized particles; the effective species diffusivities (or ionic charge conductivities) in electrode through-plane direction for different microstructures are closer. (C) 2016 Elsevier B.V. All rights reserved.
SubtypeArticle
KeywordLithium-ion Battery Graphite Anode Lattice-boltzmann Modeling Effective Transport Property Simulated Annealing Method
WOS HeadingsScience & Technology ; Physical Sciences
DOI10.1016/j.ssi.2016.09.021
WOS Subject ExtendedChemistry ; Physics
WOS KeywordPOROUS-MEDIA ; MICROSTRUCTURE ; RECONSTRUCTION ; CELLS ; MODEL ; PERFORMANCE ; CATHODE ; SYSTEMS ; ELECTRODEPOSITION ; OPTIMIZATION
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 SubjectChemistry, Physical ; Physics, Condensed Matter
WOS IDWOS:000386743400021
Citation statistics
Document Type期刊论文
Identifierhttp://ir.giec.ac.cn/handle/344007/13930
Collection中国科学院广州能源研究所
Affiliation1.Chinese Acad Sci, Guangzhou Inst Energy Convers, Key Lab Renewable Energy, Lab Adv Energy Syst, Guangzhou 510640, Guangdong, 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 electric and species transport properties of lithium-ion battery graphite anode[J]. SOLID STATE IONICS,2016,296:146-153.
APA He, Shaoyang,Habte, Bereket Tsegai,&Jiang, Fangming.(2016).LBM prediction of effective electric and species transport properties of lithium-ion battery graphite anode.SOLID STATE IONICS,296,146-153.
MLA He, Shaoyang,et al."LBM prediction of effective electric and species transport properties of lithium-ion battery graphite anode".SOLID STATE IONICS 296(2016):146-153.
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