A Critical Review of AI-Based Battery Remaining Useful Life Prediction for Energy Storage Systems

This paper provides a comprehensive review of recent advances in remaining useful life prediction for lithium-ion battery energy storage systems. Existing approaches are generally categorized into model-based methods, data-driven methods, and hybrid methods. A systematic comparison of these three me...

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Bibliographic Details

Published in:	Batteries
Main Authors:	Kuo Yang, Shunli Wang, Lei Zhou, Carlos Fernandez, Frede Blaabjerg
Format:	Article
Language:	English
Published:	MDPI AG 2025-10-01
Subjects:	lithium-ion battery remaining useful life prediction prediction method data-driven method hybrid approach
Online Access:	https://www.mdpi.com/2313-0105/11/10/376