Recently, there has been significant attention given to the electrification of transportation due
to concerns about fossil fuel depletion and environmental pollution. Conventional drive …

This paper presents an end-to-end deep reinforcement learning (DRL) approach aimed at
efficiently determining energy-optimal routes for a group of electric logistic vehicles, with the …

The studies have focused on a bibliometric review of electric vehicle (EV) integration with
the grid. It follows a methodical procedure using a pre-established search strategy to …

The transport sector is experiencing a notable transition towards sustainability, propelled by
technological progress, innovative materials, and a dedication to environmental …

Human-machine mutual trust has become one of the important factors restricting steer-by-
wire vehicles due to the removal of mechanical connections. To this end, this article …

The use of plug-in hybrid electric vehicles (PHEVs) provides a way to address energy and
environmental issues. Integrating a large number of PHEVs with advanced control and …

The direct yaw moment control system of distributed drive electric vehicles provides a
flexible control scheme to enhance the vehicle stability through four independently driven in …

The implementation of direct yaw moment control (DYC) in distributed drive electric vehicles
brings greater potential for enhancing vehicle maneuverability and stability performance …

This paper proposes an innovative approach for improving the charging efficiency of electric
vehicles (EVs) by combining photovoltaic (PV) systems with AC–DC Power Factor …

The uncertainties of driver's behavior seriously affect road safety and bring significant
challenges to the human-machine cooperative control. This paper proposes a human …