Recent advancement of remaining useful life prediction of lithium-ion battery in electric vehicle applications: A review of modelling mechanisms, network configurations, factors, and outstanding issues

• المؤلفون الرئيسيون: Reza M.S., Mannan M., Mansor M., Ker P.J., Mahlia T.M.I., Hannan M.A.
• مؤلفون آخرون: 59055914200
• التنسيق: Review
• منشور في: Elsevier Ltd 2025
• الموضوعات: Balancing; Battery management systems; Data acquisition; Electric vehicles; Extraction; Feature extraction; Forecasting; Ions; Tuning; Battery aging; Data preprocessing; Hyper-parameter; Model mechanisms; Network configuration; Prediction methods; Remaining useful life predictions; Remaining useful lives; Training algorithms; Vehicle applications; Lithium-ion batteries

The remaining useful life (RUL) prediction of lithium-ion batteries (LIBs) plays a crucial role in battery management, safety assurance, and the anticipation of maintenance needs for reliable electric vehicle (EV) operation. An efficient prediction of RUL can ensure its safe operation and prevent bo...