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

Author:

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

Publisher

Elsevier BV

Reference194 articles.

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2. Towards a smarter battery management system for electric vehicle applications: a critical review of lithium-ion battery state of charge estimation;Ali;energies,2019

3. “Individual cell-level temperature monitoring of a lithium-ion battery pack,”;Alwis;Sensors,2009

4. Remaining useful life prediction for lithium-ion battery storage system: a comprehensive review of methods, key factors, issues and future outlook;Ansari;Energy Rep.,2022

5. Data-driven remaining useful life prediction for lithium-ion batteries using multi-charging profile framework: a recurrent neural network approach;Ansari;Sustain,2021

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