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A deep reinforcement learning framework for hybrid electric vehicle energy management: Integrating real-world data augmentation and multi-scale perception

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Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering

Published online on

Abstract

Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering, Ahead of Print.
To solve the generalization bottleneck and environmental perception limitation of deep reinforcement learning (DRL) in the charge-sustaining (CS) stage of hybrid electric vehicles, this paper proposes a novel adaptive hierarchical energy management ...