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Hierarchical control of plug-in hybrid electric vehicle platoon with DQL optimized SOC reference trajectories incorporating traffic information prediction working condition

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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 address the problem of the traditional linear state-of-charge (SOC) reference trajectory cannot adapt to the driving conditions, a hierarchical control of plug-in hybrid electric vehicle (PHEV) platoon with deep Q-learning (DQL) optimized SOC reference ...