Application of Digital Twin in Smart Battery Management Systems

Chinese Journal of Mechanical Engineering

Wenwen Wang¹  Jinpeng Tian¹  Rui Xiong¹  Jun Wang¹  Jiahuan Lu¹ 

[1] Advanced Energy Storage and Application Group, National Engineering Laboratory for Electric Vehicles, School of Mechanical Engineering, Beijing Institute of Technology, 100081, Beijing, China;

关键词: Digital twin;    Battery management system;    Battery model;    Remaining useful life prediction;    Dynamic control;   

DOI  :  10.1186/s10033-021-00577-0

来源: Springer

【 摘 要 】

Lithium-ion batteries have always been a focus of research on new energy vehicles, however, their internal reactions are complex, and problems such as battery aging and safety have not been fully understood. In view of the research and preliminary application of the digital twin in complex systems such as aerospace, we will have the opportunity to use the digital twin to solve the bottleneck of current battery research. Firstly, this paper arranges the development history, basic concepts and key technologies of the digital twin, and summarizes current research methods and challenges in battery modeling, state estimation, remaining useful life prediction, battery safety and control. Furthermore, based on digital twin we describe the solutions for battery digital modeling, real-time state estimation, dynamic charging control, dynamic thermal management, and dynamic equalization control in the intelligent battery management system. We also give development opportunities for digital twin in the battery field. Finally we summarize the development trends and challenges of smart battery management.

【 授权许可】

CC BY