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

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 type...

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Bibliographic Details
Published in:Energies (Basel) 2024-05, Vol.17 (10), p.2273
Main Authors: Wang, Wenwei, Liu, Shuaibang, Ma, Xiao-Ying, Jiang, Jiuchun, Yang, Xiao-Guang
Format: Article
Language:English
Subjects:
Aging
Algorithms
battery management system
battery-sensing technologies
Electrodes
Electrolytes
Energy storage
Fourier transforms
Lithium
lithium-ion battery
Measurement techniques
Plating
Sensors
smart battery
Spectrum analysis
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Summary: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.
ISSN:1996-1073
1996-1073
DOI:10.3390/en17102273