The expansion of the battery electric vehicle (BEV) market requires considerable changes in
the supply of electricity to fulfill the charging demand. To this end, understanding the spatio …

The behavior of drivers in charging a battery electric vehicle (BEV) can be influenced by
psychological factors such as personality and risk preference. This paper proposes a …

Transportation system electrification is expected to bring millions of electric vehicles (EVs)
on road within decades. Accurately predicting the charging demand is necessary to …

Electric vehicle (EV) use is growing at a steady rate globally. Many countries are planning to
ban internal combustion engines by 2030. One of the key issues needed to be addressed …

In this paper, we present a spatial and temporal model of electric vehicle (EV) charging
demand for rapid charging stations located in the urban area. For this problem three lines of …

This paper presents a composite methodology for obtaining spatial and temporal projections
of charging demand and peak-shaving potential from plug-in electric vehicles (EVs), and the …

Travel pattern of an electric vehicle (EV) user and the accuracy of their probability
distribution models are the key factors affecting the simulation and prediction of EV charging …

With the rapid development of electric vehicles (EVs), EV charging load simulation is of
significance to tackle the challenges for planning and operating a highly-penetrated power …

With an electrified passenger transportation fleet, carbon dioxide emissions could be
reduced significantly depending on the electric power production mix. Increased electric …

Multi-day activity-travel patterns help create potential vehicle usage profiles that contain
vehicle operations and battery status under different scenarios with varying location-based …