文献类型：期刊文献

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

作者：Li, Zhenglin[1,2];Jiao, Meiyuan[3];Chen, Ke[1];Gao, Yangyang[1];Gao, Yang[1,2];Lian, Cheng[3,4];Zhang, Jianrui[1,2];Xuan, Fuzhen[1,2]

机构：[1]East China Univ Sci & Technol, Sch Mech & Power Engn, Shanghai Key Lab Intelligent Sensing & Detect Tech, Shanghai 200237, Peoples R China;[2]East China Univ Sci & Technol, Minist Educ, Key Lab Pressure Syst & Safety, Shanghai 200237, Peoples R China;[3]East China Univ Sci & Technol, Shanghai Engn Res Ctr Hierarch Nanomat, Sch Chem Engn, State Key Lab Chem Engn, Shanghai 200237, Peoples R China;[4]East China Univ Sci & Technol, Sch Chem & Mol Engn, Shanghai 200237, Peoples R China

年份：2026

卷号：9

外文期刊名：RESEARCH

收录：;EI(收录号：20260920157075);WOS:【SCI-EXPANDED(收录号:WOS:001697553900001)】；

基金：This project was supported by the National Natural Science Foundation of China (grant nos. 52275146, 52321002, 61804054, 12411530109, and 12174102) and the Space Application System of China Manned Space Program.

语种：英文

摘要：Lithium-ion batteries (LIBs) are central to sustainable energy systems but are vulnerable to thermal runaway (TR), necessitating robust safety monitoring. Conventional single-sensor systems cannot decouple the coupled electrochemical, thermal, and mechanical processes, while existing multimodal sensors suffer from signal cross-talk and large footprints in practical applications. Here, we introduce an insect-inspired, self-decoupling multimodal sensor, fabricated via maskless laser direct writing, that leverages distinct sensing mechanisms and orthogonal output signals for simultaneous strain, temperature, and gas detection. The sensor achieves reliable intrinsic decoupling of strain and temperature over 20 to 110 degrees C, along with an independent gas response. Seamlessly integrated onto lithium iron phosphate (LiFePO4) 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.