Abstract: Systems and methods for including overstay and human behavior in the pricing structure of a plug-in electric vehicle (PEV) charging station, in order to maximize operating revenue, and manage overstay duration. A mathematical framework with discrete choice models (DCM) is incorporated to operate a PEV charging station with an optimal pricing policy and charge control. The framework determines the probability of a PEV driver selecting various charging options, including overstay price. The pricing options are charging-flexibility, which allows a controller to manage charging costs over a parking duration, charging-asap, which charges the electric vehicle immediately and continuously until the vehicle departs, the battery is fully charged, or a desired level of charge has been reached, and leaving, which is an opportunity cost to the charging station.

Abstract: A station-level framework to operate one or multiple plug-in electric vehicle (PEV) charging stations with optimal pricing policy and charge scheduling, which incorporates human behavior to capture the driver charging decision process. The user is presented with menu of price-differentiated charging services, which differ in per-unit price and the energy delivery schedule. Involving human in the loop dynamics, the operation model results in the alleviation of the overstay issue may occur when a charging session has completed. A multi-block convex transformation is used to reformulate the resulting non-convex problem via the Fenchel-Young Inequality and a Block Coordinate Descent algorithm is applied to solve the overall problem with an efficiency which enables real-time implementation. The pricing control policy realizes benefits in three aspects: (i) net profits gain, (ii) overstay reduction, and (iii) increased quality-of-service.

Abstract: Systems and methods for including overstay and human behavior in the pricing structure of a plug-in electric vehicle (PEV) charging station, in order to maximize operating revenue, and manage overstay duration. A mathematical framework with discrete choice models (DCM) is incorporated to operate a PEV charging station with an optimal pricing policy and charge control. The framework determines the probability of a PEV driver selecting various charging options, including overstay price. The pricing options are charging-flexibility, which allows a controller to manage charging costs over a parking duration, charging-asap, which charges the electric vehicle immediately and continuously until the vehicle departs, the battery is fully charged, or a desired level of charge has been reached, and leaving, which is an opportunity cost to the charging station.