This study looks into travel preferences for ECS and the willingness to collaborate with the ECS operators in user-based relocation strategies. To ensure balanced supply–demand of shared cars in the operational areas, ECS operators tend to explore user-based relocation strategies in addition to the costly operator-based ones.

This study investigated driving style oriented multi-objective optimization of electric vehicle (EV) based on features extracted from three driving styles, aiming at coordinating dynamic performance, ride comfort and energy efficiency.

This paper develops an electric vehicle (EV) battery closed-loop supply chain considering government incentives. A manufacturer sells new and remanufactured EV batteries through a retailer, and the manufacturer collects these used EV batteries through third-party collector.

This review paper summarizes state-of-the-art studies of smart charging considering PV power production and electricity consumption. The main aspects of smart charging reviewed are objectives, configurations, algorithms and mathematical models.

This work develops a software tool to calculate and predict the energy consumption of an electric vehicle (EV) for any desired route. The software tool is based on a mathematical model of an electric vehicle, which relates the energy consumption of the vehicle with factors such as the speed and the terrain slope

Using panel data from fourteen countries between 2010 and 2015, this paper examines impact of seven factors in a multiple linear regression model. The factors include percentage of renewable energies in electricity generation, number of charging stations, education level, population density, gasoline price, GDP per capita and urbanization.

This paper aims to provide a literature survey of current energy consumption models and energy-efficient routing algorithms, and adapts current dynamic traffic information towards electric driving. A real-world field study from Germany has been evaluated and serves as a basis for energy consumption analyses.

In this study, a transport energy model containing an elaborate transport demand model and a technology bottom-up model for detailed behavioral and technological representations was developed to investigate how electric vehicles (EVs) will penetrate the markets in the long-term and what impacts on energy consumption and emissions would emerge following EV adoption in China at the provincial level.

This paper discusses the effectiveness, efficiency, and feasibility of city strategic plans for establishing a public charging infrastructure network to encourage the uptake and use of EVs.

This paper presents the application of LCA for the evaluation of total energy consumption and GHGs emissions when a driver is in front to several mobility options. A life-cycle assessment study of several mobility options is presented in the paper.