The report shows in a dynamic global landscape, most countries are progressing in the energy transition, with the centre of gravity moving towards developing nations.

This study explores existing charging technologies and AI applications for EVs' adaptability and smarter package.

In this study, a centralized, distributed dual-mode coupling drive system (DMC) is being developed to prevent high-intensity driving and reduce vehicle energy consumption by transferring drive force between coaxial wheels.

This analysis of the China and U.S. freight railways focused on the managing structure, physical infrastructure, and major policy guidance of the two systems. While the network and facilities are relatively similar, notable differences exist in their managing framework.

The authors examined technological and geographical relatedness between these patent codes, before classifying cities in four different groups according to their patent scores.

The authors propose a model predictive control framework for scheduling the charging of residential electric vehicles to account for the uncertainties associated.

This paper presents a bilevel stochastic optimization model for EV charging navigation, considering uncertainties, and proposes a real-time EV charging navigation method using the hierarchical enhanced deep Q network (HEDQN).

Battery swapping is rapidly gaining traction as an efficient alternative to traditional plug-in charging for commercial vehicle fleets in China. This method minimizes downtime, allowing commercial vehicles such as taxis and heavy-duty trucks to quickly return to operation

The report examines the cost implications of the proposed SAF mandate targets from an industrial development perspective.

This work reviews the design process and real-time implementation of EMSs tailored for DM-BEVs, starting from the fundamental concepts of two-motor coupling.