The impact of internal combustion engine-powered automobiles on climate change due to
emissions and the depletion of fossil fuels has contributed to the progress of electrified …

The rapid development of intelligent and connected technologies is conducive to the
efficient energy utilization of hybrid electric vehicles (HEVs). However, most energy …

Advanced algorithms can promote the development of energy management strategies
(EMSs) as a key technology in hybrid electric vehicles (HEVs). Reinforcement learning (RL) …

This paper proposes a novel energy distribution optimization method of hybrid energy
storage system (HESS) and its improved semi-active topology for electric vehicles (EVs) to …

Using inertial measurement units mounted on foot is a feasible approach to improve the
positioning accuracy for the human motion capture system. This paper presents a …

An effective energy management strategy (EMS) in hybrid electric vehicles (HEVs) is
indispensable to promote consumption efficiency due to time-varying load conditions …

Electrified vehicles provide an effective solution to address the unfavorable impacts of fossil
fuel use in the transportation sector. Energy management strategy (EMS) is the core …

In this study, a decision-making and motion planning controller with continuous action space
is constructed in the highway driving scenario based on deep reinforcement learning. In the …

Autonomous driving is considered one of the revolutionary technologies shaping humanity's
future mobility and quality of life. However, safety remains a critical hurdle in the way of …

While the air conditioning system provides a comfortable thermal environment for vehicle
occupants, it is also one of the most energy-intensive auxiliary devices in modern vehicles …