As complex electrochemical energy storage devices, lithium-ion batteries (LIBs) exhibit coupled multiphysics responses across diverse operational conditions. A well-designed decoupling evaluation offers a more significant opportunity to reveal the interaction and correlation mechanisms between the multiphysics. In the battery packaging design, practical multi-field evaluation of LIBs provides a reasonable solution for thermal management and structural design to achieve optimal battery performance. The multi-field evaluation also assists in the design of decoupling identification of model parameters to develop accurate multi-field digital twin models. The model facilitates dynamic, collaborative simulation of battery twins and entities for online state estimation and cloud-based battery aging diagnosis.
Traditional digital twin models of lithium-ion batteries do not sufficiently evaluate coupled electrical, thermal, and mechanical behavior under complex operating conditions, particularly when considering all-climate and external bracing applications. To overcome this limitation, this study proposed a multi-field simulation framework that integrates coupled physical information and parameter identification. In this work, we designed a multi-physics integrated experimental setup to reveal their intricate coupling behavior and developed a multi-field modeling approach to capture the cell dynamics in real application. It offers theoretical support for the development of a multi-field coupled model. The electro-thermal-mechanical modeling integrates physical information and impedance identification methods to help achieve reliable operation and advanced battery management. This work emphasizes the importance of the multi-field digital twin model, which provides a robust foundation for achieving optimal battery performance, state estimation, and no-destructive diagnosis.