Who must adapt? Modelling charging behaviour of individuals in a high EV future

Abstract

With increasing usage of electric vehicles, an expansion of charging infrastructure is required. To investigate the individual’s reliance on public infrastructure expansion, we modelled charging behaviour at home, at work and at public fast charging stations based on vehicular activity profiles from a desire-based transportation model. In a high electrification future scenario for the year 2045 most drivers can incorporate vehicle charging within their usual daily schedules as most charging events take place at the home location of the driver. Only 6.3% of vehicles are reliant on public fast charging infrastructure and therefore may require the driver to adapt their schedules. Our modelling results also show the spatial and temporal distribution of charging demand over the course of one week and pointing out the potential for smart charging strategies such as vehicleto-grid charging or peak-shaving to reduce demand on the underlying grid infrastructure.