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As the plug-in electric vehicle (PEV) market expands worldwide, PEVpenetration has out-paced public PEV charging accessibility. In addition tocharging infrastructure deployment, charging station operation is another keyfactor for improving charging service accessibility. In this paper, we proposea mathematical framework to optimally operate a PEV charging station, whoseservice capability is constrained by the number of available chargers. Thismathematical framework specifically exploits human behavioral modeling toalleviate the "overstaying" issue that occurs when a vehicle is fully charged.Our behavioral model effectively captures human decision-making when humans areexposed to multiple charging product options, which differ in both price andquality-of-service. We reformulate the associated non-convex problem to amulti-convex problem via the Young-Fenchel transform. We then apply the BlockCoordinate Descent algorithm to efficiently solve the optimization problem.Numerical experiments illustrate the performance of the proposed method.Simulation results show that a station operator who leverages optimally pricedcharging options could realize benefits in three ways: (i) net profits gains,(ii) overstay reduction, and (iii) increased quality-of-service.

Inducing Human Behavior to Alleviate Overstay at PEV Charging Station