(Peer-Reviewed) Operando monitoring of state of health for lithium battery via fiber optic ultrasound imaging system
Chen Geng 陈庚 ¹, Wang Anqi 王安琪 ¹, Zhang Yi 张怡 ², Zhang Fujun 张富军 ¹, Xu Dongchen 徐栋宸 ¹, Liu Yueqi 刘玥琪 ¹, Zhang Zhi 张植 ¹, Yan Zhijun 闫志君 ¹ ³, Li Zhen 李真 ², Li Hao 李豪 ¹, Sun Qizhen 孙琪真 ¹ ³
¹ School of Optical and Electronic Information, Huazhong University of Science and Technology, Wuhan 430074, China
中国 武汉 华中科技大学光学与电子信息学院
² State Key Laboratory of Material Processing and Die & Mould Technology, School of Materials Science and Engineering, Huazhong University of Science and Technology, Wuhan 430074, China
中国 武汉 华中科技大学材料科学与工程学院 材料成形与模具技术国家重点实验室
³ Hust-Wuxi Research Institute, Huazhong University of Science and Technology, Wuxi 214174, China
中国 无锡 华中科技大学无锡研究院
Opto-Electronic Science
, 2025-06-25
Abstract
With the rapid development of lithium batteries, it’s of great significance to ensure the safe use of it. An ultrasound imaging system based on fiber optic ultrasound sensor has been developed to monitor the internal changes of lithium batteries.
Based on Fabry-Perot interferometer (FPI) structure which is made of a glass plate and an optical fiber pigtail, the ultrasound imaging system possesses a high sensitivity of 558 mV/kPa at 500 kHz with the noise equivalent pressure (NEP) of only 63.5 mPa. For the frequency response, the ultrasound sensitivity is higher than 13.1 mV/kPa within the frequency range from 50 kHz to 1 MHz.
Meanwhile, the battery imaging system based on the proposed sensor has a superior resolution as high as 0.5 mm. The performance of battery safety monitoring is verified, in which three commercial lithium-ion ferrous phosphate/graphite (LFP||Gr) batteries are imaged and the state of health (SOH) for different batteries is obtained.
Besides, the wetting process of an anode-free lithium metal batteries (AFLMB) is clearly observed via the proposed system, in which the formation process of the pouch cell is analyzed and the gas-related "unwetting" condition is discovered, representing a significant advancement in battery health monitoring field. In the future, the commercial usage can be realized when sensor array and artificial intelligence technology are adopted.
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