Reinforcement learning-based energy management for hybrid electric vehicles: A comprehensive up-to-date review on methods, challenges, and research gaps

Reinforcement learning is widely used for control applications and has also been successfully implemented for efficient energy management within hybrid electric vehicles. Reinforcement learning algorithms offer various advantages, including fast convergence, broad applicability, stability, and robus...

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Bibliographic Details

Published in:	Energy and AI
Main Authors:	Mohamed Nadir Boukoberine, Muhammad Fahad Zia, Tarek Berghout, Mohamed Benbouzid
Format:	Article
Language:	English
Published:	Elsevier 2025-09-01
Subjects:	Deep reinforcement learning Energy management Electric vehicle Reinforcement learning Transfer learning
Online Access:	http://www.sciencedirect.com/science/article/pii/S2666546825000461