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.

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

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

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

This paper conducted two online experiments to explore the influence of green advertising on consumers' intention to purchase EVs to address the abovementioned limitations.

This paper discusses the results of research on the braking efficiency of the electric vehicle MG ZS EV.

In this study, a multifunctional artificial neural network was proposed for predicting city, highway, and combined electric consumption simultaneously.

This study aimed to investigate the economic costs of battery electric vehicle adoption in the short food supply chain and its impact on the environment in terms of greenhouse gas emissions when compared to corresponding petrol-powered vehicles.

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.