Purpose-This study aims to propose an enhanced eco-driving strategy based on
reinforcement learning (RL) to alleviate the mileage anxiety of electric vehicles (EVs) in the …

In order to forward the development of transportation electrification and reach the goal of
carbon neutrality, eco-driving techniques for electric vehicles (EVs) are widely concerned …

Due to the limited amount of stored battery energy available for electric vehicles, it is
important to use the energy in an optimal manner. This study proposes a novel comfortable …

The driving strategy of the driver is one of the critical factors which affect the energy
consumption of the vehicle. However, it is often overlooked in the researches of energy …

In this paper, driving strategy optimization for a track is proposed for an energy efficient
battery electric vehicle dedicated to the Shell Eco-marathon. A measurement-based …

Due to the ignorance of dynamic characteristics of powertrains, existing frameworks for co-
optimizing component sizing and energy management of hybrid powertrains may lead to …

The existing research of electric vehicle acceleration curves optimization mainly focuses on
minimum energy consumption, without considering the battery life. This paper focuses on …

The main question in eco-driving is-what speed or torque profile should the vehicle follow to
minimize its energy consumption over a certain distance within a desired trip time? Various …

The aim of the paper is to define a limit performance of highly efficient battery electric
quadricycles for urban mobility. The vehicle is employed for an energy efficiency competition …

In recent years, fully electric vehicles (EVs) have accounted for a higher proportion of urban
buses. On account of their relatively short cruising range, many technologies were used to …