Li-ion Battery Failure Warning Methods for Energy-storage Systems

doi:10.23919/CJEE.2023.000037

Chinese Journal of Electrical Engineering ›› 2024, Vol. 10 ›› Issue (1): 86-100.doi: 10.23919/CJEE.2023.000037

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Li-ion Battery Failure Warning Methods for Energy-storage Systems

Peihao Wu, Nawei Lyu, Yuhang Song, Xin Jiang, Yang Jin^*

School of Electrical and Information Engineering, Zhengzhou University, Zhengzhou 450001, China

Received:2023-07-28 Revised:2023-09-06 Accepted:2023-10-01 Online:2024-03-25 Published:2024-04-10
Contact: * E-mail: yangjin@zzu.edu.cn
About author:Peihao Wu is pursuing a Master's degree in Electrical Engineering at Zhengzhou University. His research direction is lithium-ion battery energy storage fail-safe warning.
Nawei Lyu received B.Sc. and Ph.D. degrees in Electrical Engineering and Automation from the School of Electrical Engineering, Zhengzhou University, in 2014 and 2021, respectively. He is currently a Lecturer and Postdoctoral Researcher with the School of Electrical Engineering, Zhengzhou University. His research interests include battery energy storage and battery safety.
Yuhang Song is pursuing a Master's degree in Electrical Engineering at Zhengzhou University. His research interests include lithium-ion battery energy storage fail-safe warnings, lithium-ion battery explosion and explosion suppression, and lithium-ion battery internal sensing.
Xin Jiang received the B.Sc. degree in Electrical Engineering and Automation from the School of Electrical Engineering, Zhengzhou University, in 2012 and a Ph.D. degree in Electrical Engineering from the School of Electrical Engineering, Wuhan University, in 2017. Her research interests include electricity markets, power system planning, and operations.
Yang Jin received the B.Sc. degree in Electrical Engineering and Automation from the School of Electrical Engineering, Zhengzhou University, in 2012 and a Ph.D. degree in Electrical Engineering from the School of Electrical Engineering, Xi'an Jiaotong University, in 2017. He is currently a Professor with the School of Electrical Engineering, Zhengzhou University, and the Director of the Research Center of Grid Energy Storage and Battery Application. He was a joint Ph.D. student at the Massachusetts Institute of Technology (MIT), Cambridge, MA, USA, and Stanford University, Stanford, CA, USA in 2014 and 2015, respectively. His research interests include battery energy storage and battery safety.

Abstract

Abstract: Energy-storage technologies based on lithium-ion batteries are advancing rapidly. However, the occurrence of thermal runaway in batteries under extreme operating conditions poses serious safety concerns and potentially leads to severe accidents. To address the detection and early warning of battery thermal runaway faults, this study conducted a comprehensive review of recent advances in lithium battery fault monitoring and early warning in energy-storage systems from various physical perspectives. The focus was electrical, thermal, acoustic, and mechanical aspects, which provide effective insights for energy-storage system safety enhancement.

Key words: Lithium-ion batteries, energy-storage systems, thermal runaway, characteristic signals, fault warning

Peihao Wu, Nawei Lyu, Yuhang Song, Xin Jiang, Yang Jin. Li-ion Battery Failure Warning Methods for Energy-storage Systems[J]. Chinese Journal of Electrical Engineering, 2024, 10(1): 86-100.

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Li-ion Battery Failure Warning Methods for Energy-storage Systems

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