Electric vehicles help to improve traffic and maintain a healthy living environment by emitting zero or ultra-low tailpipe emissions and producing far less noise. As a result, the global car industry is making the transition to zero-emission vehicles.

This paper presents an approach to carry out a quantitative RAM analysis of a plug-in electric vehicle. A mathematical model is developed in the Markov Framework incorporating the reliability characteristics of all significant electrical components of the vehicle system, namely battery, motor, drive, controllers, charging unit, and energy management unit.

The aim of the article was to present the performed market segmentation, focused on identifying the similarities in the characteristics of electric car models on the Polish market and proposing their groupings.

The paper investigates whether it makes economic sense to use electric vehicles (EVs) in the public sector fleet.

This paper aims to analyse the feasibility of the deployment of electric buses (EB) based on the existing bus routes in Brunei, by the use of life cycle cost analysis and the analysis of the parameters that influence the overall life cycle cost.

This paper provides an overview of the current state of the art in electric vehicle developments and innovation, related to the vehicle components, their charging infrastructure and interaction with the grid, but also related to battery material sciences and power electronics engineering up to environmental assessments, market considerations and synergies with shared and autonomous vehicles.

Plug-in vehicles (PEVs), which include battery-only electric vehicles (BEVs) and plug-in hybrid electric vehicles (PHEVs), have steadily grown in sales amidst various incentive programs, but much speculation exists on when PEVs would become cost-competitive without incentives.

In this paper, people's preferences toward ESS for last-mile trips were analyzed using a stated preference experiment. The authors designed the experiment to scrutinize how people value ESS-riding compared with other conventional last-mile transportation modes.

This paper presents the state of charge estimation of lithium-ion battery systems using six machine learning algorithms for electric vehicles application.

Autonomous electric buses (AEB) have widely been envisioned in future public transportation systems due to their large potential to improve service quality while reducing operational costs.