Prediction of mechanical-electrical-thermal behavior in lithium-ion batteries using a neural network surrogate model
Published online on June 18, 2026
Abstract
Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science, Ahead of Print.
Lithium-ion batteries (LIBs) are highly vulnerable to mechanical abuse, which can induce structural damage and internal short circuit (ISC), accompanied by a pronounced temperature rise and increased thermal runaway risk. To enhance predictive safety and ...
Lithium-ion batteries (LIBs) are highly vulnerable to mechanical abuse, which can induce structural damage and internal short circuit (ISC), accompanied by a pronounced temperature rise and increased thermal runaway risk. To enhance predictive safety and ...