Advancing Smart Lithium-Ion Batteries: A Review on Multi-Physical Sensing Technologies for Lithium-Ion Batteries

Wenwei Wang, Shuaibang Liu, Xiao-Ying Ma, Jiuchun Jiang and Xiao-Guang Yang ()
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Wenwei Wang: National Engineering Research Center for Electric Vehicles, Beijing Institute of Technology, Beijing 100081, China
Shuaibang Liu: National Engineering Research Center for Electric Vehicles, Beijing Institute of Technology, Beijing 100081, China
Xiao-Ying Ma: National Engineering Research Center for Electric Vehicles, Beijing Institute of Technology, Beijing 100081, China
Jiuchun Jiang: Shenzhen Automotive Research Institute, Beijing Institute of Technology, Shenzhen 518118, China
Xiao-Guang Yang: National Engineering Research Center for Electric Vehicles, Beijing Institute of Technology, Beijing 100081, China

Energies, 2024, vol. 17, issue 10, 1-15

Abstract: Traditional battery management systems (BMS) encounter significant challenges, including low precision in predicting battery states and complexities in managing batteries, primarily due to the scarcity of collected signals. The advancement towards a “smart battery”, equipped with diverse sensor types, promises to mitigate these issues. This review highlights the latest developments in smart sensing technologies for batteries, encompassing electrical, thermal, mechanical, acoustic, and gas sensors. Specifically, we address how these different signals are perceived and how these varied signals could enhance our comprehension of battery aging, failure, and thermal runaway mechanisms, contributing to the creation of BMS that are safer and more reliable. Moreover, we analyze the limitations and challenges faced by different sensor applications and discuss the advantages and disadvantages of each sensing technology. Conclusively, we present a perspective on overcoming future hurdles in smart battery development, focusing on appropriate sensor design, optimized integration processes, efficient signal transmission, and advanced management systems.

Keywords: lithium-ion battery; smart battery; battery management system; battery-sensing technologies (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2024
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