Flexible Sensing for Precise Lithium-Ion Battery Swelling Monitoring: Mechanisms, Integration Strategies, and Outlook

电池(电) 结构健康监测 计算机科学 钥匙(锁) 传感器融合 系统集成 故障检测与隔离 灵敏度(控制系统) 系统工程 工程类 状态监测 安全监测 压力传感器 光学(聚焦) 智能传感器 信号处理 预警系统 数据集成 数码产品 信号(编程语言) 嵌入式系统 智能材料 压电传感器 断层(地质) 集成平台 无线传感器网络 本质安全
作者
Yusheng Lei,Jinwei Zhao,Yihang Wang,Chenyang Xue,Libo Gao
出处
期刊:Sensors [Multidisciplinary Digital Publishing Institute]
卷期号:25 (24): 7677-7677
标识
DOI:10.3390/s25247677
摘要

The expansion force generated by lithium-ion batteries during charge-discharge cycles is a key indicator of their structural safety and health. Recently, flexible pressure-sensing technologies have emerged as promising solutions for in situ swelling monitoring, owing to their high flexibility, sensitivity and integration capability. This review provides a systematic summary of progress in this field. Firstly, we discuss the mechanisms of battery swelling and the principles of conventional measurement methods. It then compares their accuracy, dynamic response and environmental adaptability. Subsequently, the main flexible pressure-sensing mechanisms are categorized, including piezoresistive, capacitive, piezoelectric and triboelectric types, and their material designs, structural configurations and sensing behaviors are discussed. Building on this, we examine integration strategies for flexible pressure sensors in battery systems. It covers surface-mounted and embedded approaches at the cell level, as well as array-based and distributed schemes at the module level. A comparative analysis highlights the differences in installation constraints and monitoring capabilities between these approaches. Additionally, this section also summarizes the characteristics of swelling signals and recent advances in data processing techniques, including AI-assisted feature extraction, fault detection and health state correlation. Despite their promise, challenges such as long-term material stability and signal interference remain. Future research is expected to focus on high-performance sensing materials, multimodal sensing fusion and intelligent data processing, with the aim of further advancing the integration of flexible sensing technologies into battery management systems and enhancing early warning and safety protection capabilities.
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