Study of FEA Approach for Temperature Change Prediction during Crush Event of Lithium-Ion Battery

Abstract

The introduction of electric vehicles (EVs) has brought attention to how crucial lithium-ion batteries are to the provision of sustainable mobility. However, careful research efforts are required to improve the safety and reliability of these batteries due to safety issues, especially the possibility of thermal runaway occurrences. In order to forecast temperature changes in lithium-ion batteries, this study uses Finite Element Analysis (FEA). The main objective of this research is to improve our knowledge of battery behavior under different stress scenarios. This examination makes use of the capabilities of LS-DYNA, a finite element analysis program known for its reliable simulation capabilities, and is based on much research and experimentation. A complete approach is created to precisely forecast temperature changes within lithium-ion batteries subjected to mechanical stress, such as crushing events, through thorough study and modeling. The use of jellyroll property tweaking, a method painstakingly designed to improve the authenticity of crush event simulations, is fundamental to the methodology. The flat plate and three-point bending tests revealed lower plastic strain rates of 0.09 and 0.026, respectively, whereas the spherical indentation test demonstrated the greatest plastic strain rate of 0.13 in this examination. For the flat plate, three-point bending, and sphere indentation tests, the applied von Mises stresses were 471 MPa, 600 MPa, and 370 MPa, respectively. The highest stress on the flat plate is a result of strong bottom support and wide surface contact. In contrast, because of its intermittent support, the three-point bending test generated less stress and strain. Because of the substantial stress concentration at the indentation location, the sphere indentation test produced the highest plastic strain rate even with the lowest applied force. This study emphasizes how support environments and stress distribution affect plastic strain rates across different testing methodologies. All things considered, this work offers a sophisticated understanding of temperature variations and thermal reactions under mechanical stress, which is a major advancement in the field of lithium-ion battery research. The work lays the foundation for safer and more dependable lithium-ion battery uses in electric vehicles and other applications through rigorous experimentation, simulation, and validation.