Artificial neural network driven prognosis and estimation of Lithium-Ion battery states: Current insights and future perspectives

Artificial neural network driven prognosis and estimation of Lithium-Ion battery states: Current insights and future perspectives

Lithium-ion batteries currently represent the dominant energy storage technology due to their superior efficiency and widespread compatibility, especially in Electric Vehicles (EVs). Normally, a Battery Management System (BMS) is used to monitor and optimize the states of these batteries in order to...

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Bibliographic Details
Main Authors: A.G. Olabi, Aasim Ahmed Abdelghafar, Bassel Soudan, Abdul Hai Alami, Concetta Semeraro, Muaz Al Radi, Mohammed Al-Murisi, Mohammad Ali Abdelkareem
Format: Article
Language:English
Published: Elsevier 2024-02-01
Series:Ain Shams Engineering Journal
Subjects:
Artificial neural network
Li-ion batteries
Modeling
Prediction
State of charge
Thermal state
Online Access:http://www.sciencedirect.com/science/article/pii/S2090447923003180

Internet

http://www.sciencedirect.com/science/article/pii/S2090447923003180

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