This study aids the design of the adaptation strategies of the automotive industry to meet global goals on climate change by means of a fuzzy-set qualitative comparative analysis (fsQCA), which makes it possible to measure the level of actors’ satisfaction.

This paper provides the first comprehensive bottom-up analysis of the EV charging network in Europe. Combining a crowd-sourced database of charging stations with accessibility data and algorithms, the authors produce maps of the travel time to the most accessible EV charging station across Europe, and also evaluate the charging points density and the number of active operators in different areas.

This article proposes a method to measure the impacts of SAEV on mobility through a sustainability assessment. Based on an integrative literature study and on the context of AVENUE, a European project deploying automated shuttles in the public transport of European cities, a set of indicators is defined.

EVs have the ability to help decarbonize the transportation sector and combat climate change by emitting less greenhouse gases (GHGs) over their lifetime than traditional vehicles. In view of climate change, interdisciplinary strategies are needed to deal with end-of-life lithium-ion batteries (LIBs) used in electric vehicles (EVs) to prevent a possible waste crisis.

The publication "Analysis of household EV energy flexibility potential based on real-world charging reports and smart metre data" is the source of this data. Residential electric vehicle (EV) charging in apartment buildings is the subject of the datasets presented.

This paper presents an online EV scheduling approach based on discrete charging rates that does not require detailed predictions of this uncertain data. Instead, the approach requires only a prediction of a single value that characterizes an optimal offline EV schedule.

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.