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Comprehensive thermal runaway risk assessment of EVs in urban driving: A multi-source information fusion framework based on Bayesian network and modified multiscale sample entropy
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DOI：10.1016/j.apenergy.2026.128649.png)
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Abstract
En 中文
• A hybrid framework to comprehensively assess EV thermal runaway risk is proposed. • It innovatively fuses pack sensor signals with external multi-source information. • The Bayesian network therein predicts traffic accident probability with 6.9% error. • Pack abnormalities are quantified with entropy analysis and the Weibull function. • The overall framework can adapt to extreme conditions following traffic accidents.
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