High-efficiency multiphysics coupling framework for cylindrical lithium-ion battery under mechanical abuse

多物理 电池(电) 有限元法 联轴节(管道) 锂离子电池 建模与仿真 机械工程 工程类 计算机科学 材料科学 结构工程 模拟 物理 功率(物理) 量子力学
作者
Yiding Li,Wenwei Wang,Cheng Lin,Zuo Fenghao
出处
期刊:Journal of Cleaner Production [Elsevier BV]
卷期号:286: 125451-125451 被引量:32
标识
DOI:10.1016/j.jclepro.2020.125451
摘要

The emergence of electric vehicles equipped with lithium-ion batteries has largely alleviated the environmental crisis, however, the safety and sustainable development of lithium-ion batteries under mechanical abuse conditions is increasingly becoming an obstacle for the promotion of electric vehicles. Lithium-ion batteries exhibit mechanical, electrical, thermal and other multiphysics coupling response behaviors when suffering from mechanical abuse such as compression. In this paper, two high-efficiency multiphysics coupling frameworks and strategies (calculation process) are proposed innovatively. Three abuse tests, flat plate test, rigid rod test and hemispherical punch test under the quasi-static condition are carried out to create mechanical abuse conditions. The geometric-level multiphysics coupling model couples the 3D mechanical model, the 3D thermal model, the 0D battery electrical model and the 0D short-circuit model to provide visual simulation results for battery failure analysis. The simulation results show that the geometric-level multiphysics coupling model can accurately explain the battery failure behavior under a variety of operating conditions, with a calculation time of no more than 1 h on a universal computation platform. The lumped-parameter high-efficiency multiphysics coupling model adopts the lumped-parameter mechanical model and the lumped-parameter thermal model, avoids the finite element calculation process, and can provide efficient and accurate semi-quantitative calculation results for battery safety analysis in the absence of a high-performance computing platform. The calculation time on the universal computation platform is no more than 5 s. The two high-efficiency multiphysics coupling frameworks can adapt to different computational analysis scenarios, helping to analyze the failure mechanism of lithium-ion batteries, improve the safety and maintain the sustainable development of lithium-ion batteries.
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