This report aims to comprehensively analyze the e-3W retrofit ecosystem, evaluating its feasibility by examining the supply chain, technology, and business models

The paper addresses a new optimal charging station location problem for intercity highway networks with diverse electric vehicle driving ranges and multiple charging needs during long-haul trips.

This study investigates the use of electric waste collection trucks for mixed and selectively collected waste in Poland.

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.

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).

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

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

This study uses a multi-item questionnaire to analyze factors affecting the adoption of electric vehicles among young educated Indian students, utilizing market segmentation as a crucial tool.

This study presents a unique model that effectively addresses these uncertainties by utilizing a non-stationary Markov chain.

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