Abstract:

Many European cities with air quality concerns struggle how to further roll out charging infrastructure in the coming years in a cost effective manner. Charging behavior of EV users has been subject of several studies that describe user power demand, start time patterns, duration and frequency of fleet users and home users. This paper argues that in order to make solid predictions on the future use of charging stations one needs to acknowledge significant differences in charging behavior amongst user types, be it residents, commuters, city visitors or users of electric car sharing schemes. This paper sets out to unravel the particular charging patterns of different user types in terms of timing, charging amount and location preferences. The aim of this research is to provide local policy makers and charging infrastructure providers with insight in the relation of user behavior and charging infrastructure performance in order to develop an efficient rollout strategy. This paper takes the first step in building a research framework that connects EV user charging behavior to charging point performance. The results of this study can be used to predict charging infrastructure efficiency and effectiveness and thereby this paper contributes to insight and forecasting power for policy makers on how and where to further roll out new charging stations, as well as establishing success factors for more attractive business cases for charging points.