Enhancing Lithium‐ion Battery Safety with a Multilayer Integrated Sensor for Synchronous Thermal‐Mechanical Monitoring

压力传感器 材料科学 电池(电) 故障检测与隔离 软件部署 计算机科学 信号(编程语言) 极限(数学) 波形 电光传感器 补偿(心理学) 断层(地质) 状态监测 安全监测 预警系统 签名(拓扑) 汽车工程 异步(计算机编程) 实时计算 嵌入式系统 结构健康监测 遮罩(插图) 智能传感器 可靠性工程 热失控 热的 电流传感器 灾难性故障 电气工程 联轴节(管道) 过电流
作者
Shuxian Li,Qinlang Rong,Nuo Sun,Hao Wang,Yuting Yan,Jie Wu,Peng Long,Yifan Zhang,Zhimeng Liu,Yong Yang,Xin He
出处
期刊:Advanced Materials [Wiley]
卷期号:38 (24): e72963-e72963 被引量:1
标识
DOI:10.1002/adma.72963
摘要

ABSTRACT Real‐time, colocated monitoring of thermal and mechanical signals is essential for accurate state estimation, early fault diagnosis, and safety management of lithium‐ion batteries. However, existing strategies often suffer from spatial asynchrony between temperature and pressure sensors and inter‐signal crosstalk, which undermines diagnostic fidelity. Here, we report a compact, flexible multilayer temperature‐pressure sensor (MTPS) enabling synchronous, colocated, and high‐fidelity dual‐parameter monitoring on cell surfaces. The vertically co‐laminated architecture integrates a high‐sensitivity temperature‐sensing unit with a wide‐range pressure‐sensing unit. The temperature sensor achieves a TCR of −0.6% °C −1 with fast response/recovery of 1.4/1.9s, and the hierarchical microstructure pressure sensor covers 0–1000 kPa with a low detection limit for 0.001 N. A hardware‐implemented compensation model quantitatively decouples thermal‐mechanical interference, further improving signal fidelity. Operando deployment of the MTPS accurately tracks signature signals associated with failure modes such as lithium plating under cooling, thermally aggravated side reactions under heating, and irreversible damage under compression, providing highly reliable evidence for early fault warning and elucidation of failure evolution mechanisms. At the system level, the MTPS distinguishes cell‐to‐cell inconsistencies in series/parallel packs and detects underbody scraping in a vehicle demonstration. This integrated non‐intrusive platform provides a practical pathway for real‐time, precise, and intelligent battery safety monitoring.
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