Deep Learning for State of Health Estimation of Lithium-Ion Batteries in Electric Vehicles: A Systematic Review

Energies, Год журнала: 2025, Номер 18(6), С. 1463 - 1463

Опубликована: Март 17, 2025

Electric vehicles (EVs) play a crucial role in addressing the energy crisis and mitigating greenhouse effect. Lithium-ion batteries are primary storage medium for EVs due to their numerous advantages. State of health (SOH) is critical parameter managing lithium-ion batteries, accurate SOH estimation forms foundation battery management systems (BMS), ensuring safe operation EVs. Data-driven deep learning techniques attracting significant attention because strong ability model complex nonlinear relationships, which makes them highly suitable batteries. This paper provides comprehensive introduction common used with focus on architectures. It systematically reviews application various algorithms recent years. Building this, offers detailed comparison these methods discusses current challenges future directions this field, aim providing an extensive review estimation.

Язык: Английский

Strain-Rate-Energy Coupling in Lithium-Ion Batteries: Multiscale Failure Mechanisms and Safety Design Under Dynamic Mechanical Abuse

Опубликована: Янв. 1, 2025

Язык: Английский

Recent Advances in Artificial Intelligence-Driven Prognostics and Health Management of Mobility Batteries

Multiscale Science and Engineering, Год журнала: 2025, Номер unknown

Опубликована: Апрель 24, 2025

Язык: Английский