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Review Article | Open Access

Advanced Functional Optical Fiber Sensors for Smart Battery Monitoring

Zhi Liu1,†, Yang Lu1,†, Xiao Ma1,†, Yun He2, Mingzhe Fu2, Shuaishuai Yan1, Changjian Li1, Xuan Song1, Haiyu Zhou1, Kai Liu1( )
Department of Chemical Engineering, Tsinghua University, 100084 Beijing, China
Yew Chung International School of Beijing, 100018 Beijing, China

†These authors contributed equally to this work.

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Abstract

With the increasing demand for batteries, the real-time in situ monitoring of the physical/chemical state within the “black box” is critical to improving battery performance. Consequently, the development of a cost-effective and in situ battery monitoring system that does not interfere with the normal operation of the battery is imminent. Traditional monitoring techniques are constrained by size, reliability, and scalability. Optical fiber sensors offer a distinctive advantage in enabling highly sensitive, multiparameter in situ measurements in the harsh electrochemical environment of batteries. By decoding these characteristic parameters, it helps to establish the evolution mechanism of the battery’s safety state. Additionally, the integration of advanced lab-on-fiber technology with battery monitoring systems has attracted considerable attention. This review summarizes the recent advances in optical fiber sensing technology in the fields of battery temperature and mechanical stress/strain and provides an outlook on the future challenges and development of smart batteries.

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Energy Material Advances
Article number: 0142

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Review Status: {{reviewData.commendedNum}} Commended , {{reviewData.revisionRequiredNum}} Revision Required , {{reviewData.notCommendedNum}} Not Commended Under Peer Review

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Cite this article:
Liu Z, Lu Y, Ma X, et al. Advanced Functional Optical Fiber Sensors for Smart Battery Monitoring. Energy Material Advances, 2024, 5: 0142. https://doi.org/10.34133/energymatadv.0142

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Received: 11 June 2024
Revised: 20 September 2024
Accepted: 27 September 2024
Published: 27 December 2024
© 2024 Zhi Liu et al. Exclusive licensee Beijing Institute of Technology Press. No claim to original U.S. Government Works.

Distributed under a Creative Commons Attribution License (CC BY 4.0).