At present, hybrid electric vehicles are regarded as an effective way to solve global
environmental pollution and energy shortage. Energy management strategy is the core …

Electric vehicles (EV), including Battery Electric Vehicle (BEV), Hybrid Electric Vehicle
(HEV), Plug-in Hybrid Electric Vehicle (PHEV), Fuel Cell Electric Vehicle (FCEV), are …

Motivated by the concerns on transported fuel consumption and global air pollution,
industrial engineers and academic researchers have made many efforts to construct more …

Power allocation is a crucial issue for hybrid energy storage system (HESS) in a plug-in
hybrid electric vehicle (PHEV). To obtain the best power distribution between the battery and …

Efficient operation technique has always been one of the common goals for researches both
in automobile industrial and academic areas. With the great progress of automobile …

Hybrid electric vehicles offer an immediate solution for emissions reduction and fuel
displacement under the current technique level. Energy management strategies are critical …

Reinforcement learning is a new research hotspot in the artificial intelligence community. Q
learning as a famous reinforcement learning algorithm can achieve satisfactory control …

Hybrid electric vehicle technologies emerge mainly because of the instability in fossil fuel
prices, resources and the terrible impact of global warming. As most transport systems use …

This paper presents a predictive energy management strategy for a parallel hybrid electric
vehicle (HEV) based on velocity prediction and reinforcement learning (RL). The design …

This research proposes a reinforcement learning-based algorithm and a deep reinforcement
learning-based algorithm for energy management of a series hybrid electric tracked vehicle …