Powerflex Systems, Inc.

California Institute of Technology

Zachary J Lee

Steven H Low

George S Lee

Ted G Lee

Cheng Jin

Daniel C Chang

Rajat Sethi

Rand B Lee

Justin D Roethle

Jeffrey William Wright

Tongxin Li

Sunash B Sharma

Robin Guarnotta

Certain aspects of the present disclosure provide techniques for electric vehicle charging management. In one example, a method includes: building a graph representing an electrical topology of the electric vehicle charging facility and producing an updated graph by updating a state of the one or more network nodes based on electric current or power flow through the one or more passive electric components and updating a state of the one or more component nodes based on electric current or power produced or consumed by the one or more active electric components. The method further includes receiving a selected control strategy for the electric vehicle charging facility and adjusting an electric current or a power draw of an electric vehicle charging station in the electric vehicle charging facility based on the updated graph and the selected control strategy.

Electric vehicle charging facility multi-asset optimization

Certain aspects of the present disclosure provide techniques electric vehicle charging management. In one example, a method includes: detecting a connection between an electric vehicle supply equipment and an electric vehicle; receiving image data depicting an electric vehicle charging scene; determining one or more candidate vehicles in the image data; for each respective candidate vehicle of the one or more candidate vehicles in the image data, determining one or more vehicle characteristics associated with the respective candidate vehicle; associating one candidate vehicle of the one or more candidate vehicles with the electric vehicle based on one or more vehicle characteristics associated with the one candidate vehicle; determining if a user account is associated with the one candidate vehicle associated with the electric vehicle; and determining a charging authorization decision for the electric vehicle.

Vehicle recognition for automatic charge management

Systems and methods in accordance with embodiments of the invention impalement adaptive electric vehicle (EV) charging. One embodiment includes one or more electric vehicle supply equipment (EVSE); an adaptive EV charging platform, including a processor; a memory containing: an adaptive EV charging application; a plurality of EV charging parameters. In addition, the processor is configured by the adaptive EV charging application to: collect the plurality of EV charging parameters from one or more EVSEs, simulate EV charging control routines and push out updated EV charging control routines to the one or more EVSEs. Additionally, the adaptive EV charging platform is configured to control charging of EVs based upon the plurality of EV charging parameters collected from at least one EVSE.

Systems and methods for adaptive EV charging

Adaptive charging networks in accordance with embodiments of the invention enable the optimization of electric design of charging networks for electric vehicles. One embodiment includes an electric vehicle charging network, including one or more centralized computing systems, a communications network, several, electric vehicle node controllers for charging several electric vehicles (EVs), where the one or more centralized computing systems is configured to: receive the electric vehicle node parameters from several electric vehicle node controllers, calculate a charging rates for the electric vehicle node controllers using quadratic programming (QP), where the quadratic programming computes the charging rates based on the electric vehicle node parameters, adaptive charging parameters and a quadratic cost function, and distributes the charging rates to the electric vehicle node controllers.

Optimization framework and methods for adaptive EV charging

Growing community of inventors

Pasadena, CA, United States of America

Zachary J Lee