Energy management strategy for hybrid electric vehicles based on deep reinforcement learning with driving condition recognition and expert demonstrations
Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering
Published online on March 12, 2026
Abstract
Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering, Ahead of Print.
In order to improve the fuel economy of hybrid electric vehicles (HEV), this paper proposes an adaptive demonstration-guided dueling double deep Q-network (AD-D3QN) energy management strategy (EMS) based on parallel HEV architecture. The upper-layer ...
In order to improve the fuel economy of hybrid electric vehicles (HEV), this paper proposes an adaptive demonstration-guided dueling double deep Q-network (AD-D3QN) energy management strategy (EMS) based on parallel HEV architecture. The upper-layer ...