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Mitigating cascading failures in energy storage: data-driven multiphysics modeling of thermal runaway propagation in large-format batteries
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DOI：10.1016/j.applthermaleng.2026.132645.png)
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Abstract
En 中文
• A data–mechanism collaborative framework is developed for lithium-ion thermal runaway. • Thermal runaway parameters are identified from 280 Ah LiFePO4 cell and module tests. • A 3D validated multiphysics model is established using trust-region optimization. • SOC-dependent thermodynamic evolution is integrated into multiscale propagation modeling. • The model accurately predicts cell-to-pack propagation behavior with reduced uncertainty.
Keywords:
Electrochemical energy storage
Thermal runaway triggering
Battery mechanism-data modeling
Thermal propagation characteristics
Battery cascaded failure
Journal
IF:
6.9
Papers:
2.6W
Citations:
10.6W
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Cited Papers