LiCoO2电池正极三维微结构的MonteCarlo重构及特征化

被引:5
作者
吴伟 [1 ]
蒋方明 [1 ]
陈治 [2 ]
汪颖 [2 ]
赵丰刚 [2 ]
曾毓群 [2 ]
机构
[1] 中国科学院广州能源研究所先进能源系统实验室
[2] ATL东莞新能源公司
关键词
孔尺度模型; 微结构重建; Monte Carlo; 扭曲率; 有效物性; 格子Boltzmann;
D O I
暂无
中图分类号
TM912 [蓄电池]; O611.4 [无机合成化学];
学科分类号
070301 [无机化学]; 080802 [电力系统及其自动化];
摘要
对复合电极介观微结构采用实验以及数值方法进行重构是开发锂离子电池孔尺度模型的基础和前提。本文采用Monte Carlo方法重构了LiCoO2电池正极的三维微结构,重构单元的特征尺寸为纳米量级,从而得到了明确区分活性材料、固体添加物以及孔相(电解液)的微结构,随后对重构电极进行了特征化分析,得到了微结构的连通性、比表面积等特征信息,并采用D3Q15 LBM模型计算了重构电极的有效热导率、电解液(或固相)的有效传输系数,电解液或固相的扭曲率。重建电极与实际电极的孔隙率、组分体积分数、相关函数等重要统计特性相一致。LB数值结果说明了有效传输参数与电极微构型的密切相关性。
引用
收藏
页码:1243 / 1247
页数:5
相关论文
共 9 条
[1]
Effect of cycling rate; particle size and transport properties on lithium-ion cathode performance.[J].Wenbo Du;Amit Gupta;Xiangchun Zhang;Ann Marie Sastry;Wei Shyy.International Journal of Heat and Mass Transfer.2010, 17
[2]
3D reconstruction of SOFC anodes using a focused ion beam lift-out technique [J].
Shearing, P. R. ;
Golbert, J. ;
Chater, R. J. ;
Brandon, N. P. .
CHEMICAL ENGINEERING SCIENCE, 2009, 64 (17) :3928-3933
[3]
Quantifying tortuosity in porous Li-ion battery materials.[J].Indrajeet V. Thorat;David E. Stephenson;Nathan A. Zacharias;Karim Zaghib;John N. Harb;Dean R. Wheeler.Journal of Power Sources.2008, 2
[4]
3D reconstruction and characterization of polycrystalline microstructures using a FIB–SEM system.[J].M.A. Groeber;B.K. Haley;M.D. Uchic;D.M. Dimiduk;S. Ghosh.Materials Characterization.2006, 4
[5]
A new approach to modelling the effective thermal conductivity of heterogeneous materials.[J].Jianfeng Wang;James K. Carson;Mike F. North;Donald J. Cleland.International Journal of Heat and Mass Transfer.2006, 17
[6]
TEM and electron tomography studies of carbon nanospheres for lithium secondary batteries [J].
Yoshizawa, Noriko ;
Tanaike, Osamu ;
Hatori, Hiroaki ;
Yoshikawa, Kazuo ;
Kondo, Akira ;
Abe, Takeshi .
CARBON, 2006, 44 (12) :2558-2564
[7]
Effective thermal conductivity of heterogeneous multi-component materials: an SPH implementation [J].
Jiang, Fangming ;
Sousa, Antonio C. M. .
HEAT AND MASS TRANSFER, 2007, 43 (05) :479-491
[8]
Predicting the effective thermal conductivity of unfrozen; porous foods.[J].James K. Carson;Simon J. Lovatt;David J. Tanner;Andrew C. Cleland.Journal of Food Engineering.2005, 3
[9]
BOUNDARY-CONDITIONS FOR LATTICE BOLTZMANN SIMULATIONS [J].
ZIEGLER, DP .
JOURNAL OF STATISTICAL PHYSICS, 1993, 71 (5-6) :1171-1177