A Self-Decoupling Multimodal Sensor for Enhanced Early Warning of Lithium-Ion Battery Thermal Runaway

Research 2026 Open access

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Authors: Zhenglin Li, Meiyuan Jiao, K. Chen, Yangyang Gao, Yang Gao, Cheng Lian, Jianrui Zhang, Fuzhen
DOI: 10.34133/research.1120
Cited by: 5

Abstract

) cells, it captures real-time multimodal data during both normal and TR events. Coupled with a bespoke multiphysics model, this platform reconstructs the thermal-mechanical evolution of LIBs. Our work provides a compact and durable strategy for precise real-time monitoring and early warning of battery failure.

Fields of Study & Subjects

Advanced Battery Technologies Research Silicon Carbide Semiconductor Technologies Advancements in Battery Materials

Publication details

Journal / source
Research
Publisher
American Association for the Advancement of Science (AAAS)
Volume
9
Pages
1120–1120
Publication date
13 January 2026
Language
EN