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October 2, 2025EnergiesOpen Access

Reinforcement Learning for Electric Vehicle Charging Management: Theory and Applications

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Reinforcement learning effectively improves electric vehicle charging management, addressing grid constraints and user variability.
Numerous RL methodologies, including value-based and actor-critic frameworks, enhance EVCS operations with adaptive control strategies.
The review categorizes key design aspects like training schemes and reward formulation, linking theory with practical implementation.
Identifying methodological gaps reveals opportunities for the development of safe and efficient EV charging systems in real-world settings.

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Systematic review demonstrates applications of reinforcement learning in EVCS management, highlighting scalability and adaptability.

Michailidis et al. (2025) studied this question.

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