Methods and systems for optimal pricing and charging control of a plug-in electric vehicle charging station

US11845353B2 · kind B2 · utility

Assignees

• TOTAL SE · FR
• The Regents of the University of California · US

Inventors

• Scott MOURA · Berkeley, US
• Teng ZENG · Berkeley, US
• Sangjae Bae · San Jose, US
• Wente Zeng · Cary, US
• Carl J. S. Lenox · Oakland, US
• Bertrand TRAVACCA · Oakland, US

Key dates

• Filing date: Dec 4, 2020
• Grant date: Dec 19, 2023
• Expiry date: Jun 18, 2042

Classification

• Technology area (CPC Y): Emerging Cross-Sectional Technologies
• CPC primary: Y04S30/12
• WIPO field: Transport
• WIPO sector: Mechanical engineering

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.