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

Reza, M.S.; Mannan, M.; Mansor, M.; Ker, Pin Jern; Mahlia, T. M. Indra; Hannan, M.A.

doi:10.1016/j.egyr.2024.04.039

Energy Reports

2024

DOI: 10.1016/j.egyr.2024.04.039

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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

M.S. Reza,

M. Mannan,

M. Mansor

et al.

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Cited by 13 publications

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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

Cited by 13 publications

References 130 publications

Advances and limitations in machine learning approaches applied to remaining useful life predictions: a critical review

Advances and limitations in machine learning approaches applied to remaining useful life predictions: a critical review

Thermal characterization of pouch cell using infrared thermography and electrochemical modelling for the Design of Effective Battery Thermal Management System

Prognostic of lithium-ion batteries using a combination of physical modeling and hybrid multi-layer perceptron particle filter

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