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yexuqing木蟲之王 (文學(xué)泰斗)
太陽系系主任
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[交流]
鋰離子電池內(nèi)部危險(xiǎn)信號(hào)的無線傳輸
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Wireless transmission of internal hazard signals in Li-ion batteries 鋰離子電池內(nèi)部危險(xiǎn)信號(hào)的無線傳輸 ▲ 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 ▲ 鏈接：https://www.nature.com/articles/s41586-025-08785-7 ▲ 摘要：大容量鋰離子電池（LIB）作為電源在各種應(yīng)用中發(fā)揮著關(guān)鍵作用，包括便攜式電子產(chǎn)品、電動(dòng)汽車（EV）和可再生能源存儲(chǔ)系統(tǒng)。然而，人們?cè)絹碓綋?dān)心集成LIB系統(tǒng)的安全性，在2020年至2024年期間，有多達(dá)9486起事故的報(bào)告。為了確保商用lib的安全應(yīng)用，捕獲內(nèi)部信號(hào)以實(shí)現(xiàn)早期故障診斷和預(yù)警至關(guān)重要。監(jiān)測(cè)電池果凍卷結(jié)構(gòu)內(nèi)的非均勻溫度和應(yīng)變分布為實(shí)現(xiàn)這一目標(biāo)提供了一種有希望的方法。 研究者提出了一個(gè)小型化和低功耗的系統(tǒng)，能夠準(zhǔn)確地感知和無線傳輸LIB內(nèi)部的溫度和應(yīng)變信號(hào)，而對(duì)其性能的影響可以忽略不計(jì)。通過獲取內(nèi)部溫度信號(hào)以及初始內(nèi)部短路區(qū)域與電池電極之間的面積比，可以定量分析熱熔斷和熱失控現(xiàn)象，從而評(píng)估電池?zé)崾Э氐膹?qiáng)度并識(shí)別熱濫用行為。這項(xiàng)工作為設(shè)計(jì)具有安全預(yù)警和故障定位功能的下一代智能LIB奠定了基礎(chǔ)。 ▲ 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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