Effective thermo-electro-mechanical modeling framework of lithium-ion batteries based on a representative volume element approach. (January 2021)

• Record Type: Journal Article
• Authors: Jia, Yikai; Gao, Xiang; Mouillet, Jean-Baptiste; Terrier, Jean-Michel; Lombard, Patrick; Xu, Jun
• Is Part Of: Journal of energy storage. Volume 33(2021)
• Publication Date: 2021-01
• Subjects: Lithium-ion battery -- Thermo-mechanical modeling -- Prediction of internal short circuit -- Representative volume element -- Mechanical abusive loading; Energy storage -- Periodicals; Energy storage -- Research -- Periodicals; 621.3126
• DOI: 10.1016/j.est.2020.102090
• Languages: English
• ISSNs: 2352-152X

Abstract

Highlights: An RVE-based thermo-electro-mechanical modeling framework of LIBs is developed. The modeling methodology and computational results are validated. The framework provides satisfactory results with high computational efficiency. Abstract: Investigation of the multiphysics behaviors of lithium-ion batteries upon mechanical abusive loading becomes a heated topic around the world, and the corresponding modeling methodology is in pressing need. Different from previous modeling methodologies, this paper develops an effective modeling framework based on the representative volume element concept to describe the thermo-mechanical behaviors of lithium-ion batteries. The mesoscale (electrode level) representative volume element model and the macroscale (cell level) homogenous battery model are established and validated by experiments. The two levels are coupled through the homogenization of the mechanical material properties and the calculation of the element power density–strain curve. The internal short circuit behavior can also be well predicted by this model. In addition, the model can predict accurate thermo-electro-mechanical coupled behaviors at a much lower calculation time cost. The proposed new thermo-mechanical modeling methodology in this paper can provide a powerful modeling tool and useful guidance to the design, evaluation, and monitor of the safety behaviors of LIBs. Graph abstract: Image, graphical abstract