In this talk, we explore flow optimization and pricing schemes that enable us to guide a population of electric vehicles to use transportation, charging, and power system infrastructure more efficiently. The traditional transportation system network models will be extended along a number of dimensions to capture the interactions between electric vehicles and the power grid. First, virtual arcs will be added to capture the effect of charging choices and limited station capacities. Second, to overcome the limitations of time-invariant flow models, we consider a time expanded version of the virtual transportation network.