The authors developed a DiD framwork to exploit exogenous changes by exempting vehicle purchase tax in China.

This study investigates EV charging events with a primary focus on the users' charging patterns.

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 objective of minimizing operating costs.

This review paper analyzes the Chinese safety standards from the perspective of the battery materials, cells, modules, battery systems, battery management systems, and vehicles.

The article highlights the importance of proper management of connected/autonomous electric vehicles (C/AEVs) lithium-ion battery (LIB) systems to achieve the benefits of safe, efficient, and low-carbon-emission transportation.

In this paper, an energy management strategy optimized by dynamic programming for a series–parallel hybrid electric vehicle is proposed.

In this study, an energy flow experiment of a series–parallel HEV is conducted in a climate chamber under the Worldwide Light-duty Test Cycle to address high fuel consumption.

This study proposes a dynamic inverse hierarchical optimization method, which incorporates traffic-signal phase and timing as well as road data, to plan economic velocity and improve PHEV energy consumption.

The authors develop a game-theoretic model to compare two electric vehicle (EV) policies, i.e., an electric vehicle subsidy (EVS) and a charging infrastructure subsidy (CIS), under different market structures. This paper also examines how EV competition affects the effectiveness of the policies.

This article provides a proposed electric vehicle charging station (EVCS) development with detailed planning and comprehensive analysis for Shah Amanat (CGP) International Airport, Chattogram, Bangladesh.