揭示锂离子电池的爆炸潜力:一种定量的安全评估方法

IF 16.4
Zhenpo Wang , Tongxin Shan , Shanyu Zhao , Wim J. Malfait
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引用次数: 0

摘要

锂离子电池的安全性是当前研究的一个关键和具有挑战性的焦点。本文对基于各种特征参数的锂离子电池三硝基甲苯当量(tnt当量)评价方法进行了系统总结和比较,并提出了一种机理驱动的计算方法。本研究利用实验数据进行验证,将不同方法得到的tnt当量值输入到爆炸动力学模型中预测爆炸压力,通过与实测数据的对比,确定最优计算方法。结果表明,该方法能准确预测不同soc下的爆炸特性,误差在3%以下。这种方法消除了复杂的动态测试的需要,同时通过将爆炸当量与固有热失控(TR)机制联系起来,提供了精确的预测。研究结果有助于建立安全分析数据库,建立测试标准,并支持电池系统的安全设计。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Unveiling the explosion potential of lithium-ion batteries: A quantitative approach to safety assessment

Unveiling the explosion potential of lithium-ion batteries: A quantitative approach to safety assessment
The safety of lithium-ion batteries is a critical and challenging focus of current research. This perspective article systematically summarized and compared evaluation methods for the trinitrotoluene-equivalent (TNT-equivalent) of lithium-ion batteries (LIBs) based on various characteristic parameters and proposed a mechanism-driven calculation approach. Using experimental data for validation, the study input TNT-equivalent values derived from different methods into an explosion dynamics model to predict explosion pressures, identifying the optimal calculation method through comparison with measured data. Results showed that the mechanism-driven approach accurately predicts explosion characteristics at different SOCs, with errors below 3%. This method eliminates the need for complex dynamic testing while providing precise predictions by linking the explosion equivalent to intrinsic thermal runaway (TR) mechanisms. The findings contribute to building safety analysis databases, establishing testing standards, and supporting the safety design of battery systems.
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CiteScore
6.40
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