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yexuqing木虫之王 (文学泰斗)
太阳系系主任
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[交流]
锂离子电池内部危险信号的无线传输
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Wireless transmission of internal hazard signals in Li-ion batteries 锂离子电池内部危险信号的无线传输 ▲ 作者：Jinbao Fan, Chenchen Liu, Na Li, Le Yang, Xiao-Guang Yang, Bowen Dou, Shujuan Hou, Xuning Feng, Hanqing Jiang, Hong Li, Wei-Li Song, Lei Sun, Hao-Sen Chen, Huajian Gao & Daining Fang ▲ 链接：https://www.nature.com/articles/s41586-025-08785-7 ▲ 摘要：大容量锂离子电池（LIB）作为电源在各种应用中发挥着关键作用，包括便携式电子产品、电动汽车（EV）和可再生能源存储系统。然而，人们越来越担心集成LIB系统的安全性，在2020年至2024年期间，有多达9486起事故的报告。为了确保商用lib的安全应用，捕获内部信号以实现早期故障诊断和预警至关重要。监测电池果冻卷结构内的非均匀温度和应变分布为实现这一目标提供了一种有希望的方法。 研究者提出了一个小型化和低功耗的系统，能够准确地感知和无线传输LIB内部的温度和应变信号，而对其性能的影响可以忽略不计。通过获取内部温度信号以及初始内部短路区域与电池电极之间的面积比，可以定量分析热熔断和热失控现象，从而评估电池热失控的强度并识别热滥用行为。这项工作为设计具有安全预警和故障定位功能的下一代智能LIB奠定了基础。 ▲ Abstract：High-capacity lithium-ion batteries (LIBs) play a critical role as power sources across diverse applications, including portable electronics, electric vehicles (EVs) and renewable-energy-storage systems1. However, there is growing concern about the safety of integrated LIB systems, with reports of up to 9,486 incidents between 2020 and 2024. To ensure the safe application of commercial LIBs, it is essential to capture internal signals that enable early failure diagnosis and warning. Monitoring non-uniform temperature and strain distributions within the jelly-roll structures of the battery provides a promising approach to achieving this goal. Here we propose a miniaturized and low-power-consumption system capable of accurate sensing and wireless transmission of internal temperature and strain signals inside LIBs, with negligible influence on its performance. The acquisition of internal temperature signals and the area ratio between initial internal-short-circuited regions and battery electrodes enables quantitative analysis of thermal fusing and thermal runaway phenomena, leading to the evaluation of the intensity of battery thermal runaway and recognition of thermal abuse behaviours. This work provides a foundation for designing next-generation smart LIBs with safety warning and failure positioning capabilities. |
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