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Updated: Jul 27, 2026

Synthesis of Ionic Liquid Based Electrolytes, Assembly of Li-ion Batteries, and Measurements of Performance at High Temperature
Published on: December 20, 2016
In Situ Optical Fiber Sensing of Internal Temperature Evolution during Lithium-Ion Battery Cycling
Fanchao Zeng1, Xinglin Tong1, Chong Xu2
1National Engineering Laboratory for Fiber Optic Sensing Technology, Wuhan University of Technology, Wuhan 430070, China.
Abstract:
The internal temperature of high-capacity lithium-ion batteries (LiBs) plays a crucial role in triggering thermal runaway. Current research on battery thermal runaway primarily relies on external temperature sensors, which are unable to provide real-time temperature distribution data from various sections within the battery cells. Consequently, early detection of thermal runaway in batteries is hindered. To address this limitation, this study investigates arrayed fiber Bragg grating sensors (AFBGs) positioned between two cells to continuously monitor the temperature distribution across different cell sections during operation. The results indicate that in battery charge-discharge tests conducted at rates of 0.2, 0.5, and 0.75 P, the maximum thermal gradient along the cell's vertical axis (from top to bottom) reaches 6.8 °C during 0.75 P, with the geometric center of the jelly roll surface identified as the most temperature-sensitive location. Consequently, the implementation of multipoint monitoring is deemed essential for early thermal runaway detection. The analysis at the battery pack level reveals that during the charging process, a temperature variance of 8.3 °C exists among batteries, highlighting central/peripheral thermal nonuniformity. Additionally, external sensors underestimate the internal temperature by 19.4 °C, further emphasizing the importance of internal monitoring. Linear regression analysis shows a strong linear correlation (R 2 = 0.999) between the maximum internal temperature and the charge-discharge rate, which facilitates predictive monitoring by the battery management system (BMS). Furthermore, this sensor demonstrates compatibility with battery production processes and maintains stability over 500 cycles. These results suggest that this sensing approach could serve as a reliable method for long-term battery monitoring.
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