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AssigneesTotal SA, The Regents of the University of California
InventorsScott MOURA, Teng ZENG, Sangjae BAE, Wente ZENG, Carl LENOX, Bertrand TRAVACCA
Estimating the term…
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.
A system for determining a pricing policy for charging electric vehicles, the pricing policy including overstay, comprising:
A method for determining a pricing policy for charging electric vehicles, the pricing policy including overstay, comprising:
A non-transitory computer readable medium having instructions stored therein that, when executed by one or more processors, cause the one or more processors to perform a method for determining a pricing policy for charging electric vehicles, the pricing policy including overstay, comprising:
Dependencies are inferred from the claim text.