Stochastic 3D microstructure reconstruction and mechanical modeling of anisotropic battery separators

JOURNAL OF POWER SOURCES

卷:430

Article

Xu, Hongyi¹  Bae, Chulheung² 

[1] Univ Connecticut, Storrs, CT 06269 USA

[2] Ford Res & Adv Engn, Dearborn, MI 48124 USA

关键词: Battery separator;    Microstructure;    Statistical characterization;    Stochastic reconstruction;    Anisotropic;   

DOI  :  10.1016/j.jpowsour.2019.05.021

来源: Elsevier

【 摘 要 】

This paper presents a 3D microstructure model to predict mechanical behaviors of the anisotropic battery separator. A statistical characterization and stochastic reconstruction method is established to enable 3D microstructure modeling based on 2D microscopic images. Statistics of the key microstructure characteristics, such as porosity and the shape of the voids, are quantified by image-based characterization. Furthermore, a stochastic reconstruction algorithm is proposed to generate random but statistically equivalent 3D microstructure models for mechanical property analysis and uncertainty quantification. The proposed method is demonstrated on a commercial separator. Uniaxial tensile simulations are conducted with Finite Element Analysis (FEA) and the results are validated by experimental data. The 3D microstructure model captures anisotropic properties of the separator, and gives insights about the microstructure features under tensile load.

【 授权许可】

Free