Research on thermal runaway warning threshold and machine learning model for large capacity energy storage batteries based on electric-thermal-mechanical-gas coupling
Key Points
Thermal runaway is effectively predicted, enhancing safety in energy storage systems.
The model achieved a prediction accuracy of 92% across various battery conditions.
Observational analysis of electric-thermal-mechanical interactions formed the basis of the predictions.
The findings indicate an urgent need for improved monitoring in large capacity batteries.
Research on thermal runaway warning threshold and machine learning model for large capacity energy storage batteries based on electric-thermal-mechanical-gas coupling | Synapse