1 research outputs found
Driver-aware charging infrastructure design
Public charging infrastructure plays a crucial role in the context of
electrifying the private mobility sector in particular for urban regions.
Against this background, we develop a new mathematical model for the optimal
placement of public charging stations for electric vehicles in cities. While
existing approaches strongly aggregate traffic information or are only
applicable to small instances, we formulate the problem as a specific
combinatorial optimization problem that incorporates individual demand and
temporal interactions of drivers, exact positioning of charging stations, as
well as various charging speeds, and realistic charging curves. We show that
the problem can be naturally cast as an integer program that, together with
different reformulation techniques, can be efficiently solved for large
instances. More specifically, we show that our approach can compute optimal
placements of charging stations for instances based on traffic data for cities
with up to inhabitants and future electrification rates of up to