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Machine learning prediction study on collision failure risk of lithium-ion battery packs considering cyclic aging

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Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering

Published online on

Abstract

Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering, Ahead of Print.
Lithium-ion batteries in new energy vehicles are prone to safety accidents during collisions. However, the performance uncertainty of battery packs caused by cyclic aging makes it difficult to accurately and rapidly predict collision failure risks. This ...