Spatio-Temporal Energy Demand Models for Electric Vehicles

This paper models the energy demand of electric vehicles in a city as a function of space (location) and time. Energy demand formulations are derived for a number of scenarios ranging from individual vehicles to global demand in a large city. One of the important considerations for decision making in sizing and placement of charging stations is the characterization of local charging energy demand as a function of time, which is the prime focus of this work. Additionally, the characterization of typical stay times is also considered in the decision making process, simply because it provides important data on the required charge rates, i.e. power. The chosen approach utilizes previously developed software EVRE to predict the energy demand at candidate locations in a city.