University of California

Total Sa

Université Libre De Bruxelles

Total Se

Microgrid Labs Inc.

Scott Moura

Wente Zeng

Sebastien Benjamin

Narayanan Sankar

Bertrand Travacca

Carl Lenox

Sharabh Shukla

Preet Gill

Teng Zeng

Sangjae Bae

Arun Kumar

Dong Zhang

Luis Couto

Namit Singh

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.

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

A system for configuring an Electric Vehicle (EV) charging infrastructure, the apparatus comprising. The system receives user direction and inputs regarding a custom EV charging infrastructure, submits the data an optimal planning module which is configured for performing optimization based on objectives in view of a set of constraints; and generates a recommendation from the optimal planning module for a custom EV charging infrastructure based on charging needs and behavior of the consumers toward deferring upgrades in electric infrastructure without compromising energy required for electrical transportation. The system validates the results from the optimal planning module using discrete event-based simulator and generates charging schedules from the controlling module for custom EV charging based on information about EV data, distributed energy resource (DER), and the electric infrastructure without compromising energy required for electrical transportation and causing undue impact on the electrical infrastructure.

And control of electric vehicle charging infrastructure

An interval observer based on an equivalent circuit-thermal model for lithium-ion batteries is presented. State of charge-temperature-dependent parameters are considered as unknown but bounded uncertainties in a single cell model. A parallel and a series arrangement of five cells are used for observer design, where cell heterogeneity is accounted for through the uncertainty bounding functions.

Interval estimation for state-of-charge and temperature in battery packs with heterogeneous cells

Growing community of inventors

Berkeley, CA, United States of America

Scott Moura