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

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

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...

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Bibliographic Details
Main Authors: Reza M.S., Mannan M., Mansor M., Ker P.J., Mahlia T.M.I., Hannan M.A.
Other Authors: 59055914200
Format: Review
Published: Elsevier Ltd 2025
Subjects:
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
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