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基于多种加热功率下锂离子电池热失控的先进超声检测
Advanced ultrasonic detection of lithium-ion battery thermal runaway under various heating powers
| 作者 | Hyuk Leea · Yun-Ho Seoa · Pyung-Sik Mab |
| 期刊 | Applied Energy |
| 出版日期 | 2025年1月 |
| 卷/期 | 第 396 卷 |
| 技术分类 | 储能系统技术 |
| 技术标签 | 储能系统 |
| 相关度评分 | ★★★★★ 5.0 / 5.0 |
| 关键词 | Extensive experiments on TR progression under various heating powers are presented. |
语言:
中文摘要
摘要 锂离子电池(LIBs)因其高效率和紧凑的设计,在储能系统和电动汽车等现代技术中具有关键作用。然而,由于过热引发的热失控(TR)风险,特别是在缺乏有效早期安全预警的情况下,严重限制了其更广泛的应用。本研究通过将超声诊断与常规参数(如力、电压和温度)相结合,系统地研究了在不同加热功率下锂离子电池中热失控的发展过程。基于电池内部周期性多层结构的Floquet-Bloch分析,我们采用了覆盖近2 MHz高频色散区域的宽频带超声波,从而显著增强了对热失控初期阶段电池内部微结构变化的敏感性。特别是,该方法相较于传统的膨胀力等指标表现出更优越的性能,在600 W至1200 W的不同加热功率条件下,可提前282秒至953.8秒预警泄压事件,提前377秒至851秒预警热失控事件。此外,我们提出了一种综合性的安全评估指标,该指标融合了早期预警的超声特征与多维参数信息。这些研究成果为利用超声诊断技术提升锂离子电池在关键应用中的安全性与可靠性建立了坚实的框架。
English Abstract
Abstract Lithium-ion batteries (LIBs) are essential in modern technologies, including energy storage systems and electric vehicles, owing to their high efficiency and compact design. However, their vulnerability to thermal runaway (TR) triggered by overheating, particularly without effective early safety warnings, significantly limits their broader adoption. In this study, we systematically examine TR progression in LIBs under various heating powers by integrating ultrasonic diagnostics with conventional parameters, such as the force, voltage, and temperature. Using Floquet-Bloch analysis regarding internal periodic multi-layers, we employ a wide frequency range of ultrasonic waves covering a highly dispersive region near 2 MHz. This, in turn, enhances sensitivity to microstructural changes within the LIB during the early stages of TR. In particular, this method demonstrates superior performance compared to conventional indicators, such as the expansion force, providing early warnings of venting by 282 s–953.8 s and TR by 377 s–851 s under various heating powers ranging from 600 W to 1200 W. Furthermore, we present a comprehensive safety metric that incorporates early warning ultrasonic features along with multidimensional parameters. These findings establish a robust framework for using ultrasonic diagnostics to enhance the safety and reliability of LIBs for critical applications.
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SunView 深度解读
该超声波热失控早期预警技术对阳光电源储能系统安全性提升具有重要价值。可集成至PowerTitan及ST系列PCS的电池管理系统中,在传统温度、电压监测基础上,通过2MHz超声波检测电池内部微结构变化,实现排气前282-953秒、热失控前377-851秒的提前预警,显著优于膨胀力监测。该技术可与iSolarCloud平台的预测性维护功能结合,构建多维安全监控体系,为大规模储能电站和充电站的锂电池安全管理提供创新解决方案,降低火灾风险,提升系统可靠性。