The main goal of this work is to understand the effect of thermal runaway initiation conditions on the severity of thermal runaway (TR) of Graphite—NMC (111) cells. A coupled electrical-thermal model is developed, which includes the initial energy input, the chemical decomposition processes of the anode, cathode and the electrical energy released by an internal short circuit. 780 different thermal runaway events are simulated and the output is analysed by machine learning techniques such as principal component analysis and clustering. It was found that TR events form 5 clusters between no thermal runaway and severe thermal runaway. Sensitivity analysis is applied on the 39 input invariants and the triggering energy input, resistance ratio, the heat convection coefficient, the ratio of activation energy of oxygen liberation and electrolyte evaporation are found to be the most important parameters. The later one determines the amount of electrolyte combustion. The probability of t...

中文翻译：

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热失控起始条件对热失控严重性的影响分析-数值模拟与机器学习研究

这项工作的主要目的是了解热失控起始条件对石墨-NMC（111）电池热失控（TR）严重性的影响。建立了耦合热电模型，包括初始能量输入，阳极，阴极的化学分解过程以及内部短路​​释放的电能。模拟了780个不同的热失控事件，并通过机器学习技术（例如主成分分析和聚类）分析了输出。发现TR事件在无热失控和严重热失控之间形成5个簇。灵敏度分析应用于39个输入不变式和触发能量输入，电阻比，热对流系数，发现释放氧的活化能与电解质蒸发的比率是最重要的参数。后者决定了电解质的燃烧量。发生...的概率