The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Feb. 23, 2021

Filed:

Dec. 03, 2018
Applicants:

California Institute of Technology, Pasadena, CA (US);

Powerflex Systems, Inc., Los Altos, CA (US);

Inventors:

Ted Lee, San Marino, CA (US);

Zachary J. Lee, Pasadena, CA (US);

Steven H. Low, La Cañada, CA (US);

Daniel C. Chang, San Jose, CA (US);

Cheng Jin, Saratoga, CA (US);

Rand B. Lee, San Marino, CA (US);

George S. Lee, Pasadena, CA (US);

Assignees:

California Institute of Technology, Pasadena, CA (US);

Powerflex Systems, Inc., Los Altos, CA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
B60L 53/00 (2019.01); B60L 53/67 (2019.01); B60L 53/66 (2019.01); B60L 53/51 (2019.01); B60L 53/68 (2019.01); B60L 53/62 (2019.01);
U.S. Cl.
CPC ...
B60L 53/67 (2019.02); B60L 53/51 (2019.02); B60L 53/62 (2019.02); B60L 53/66 (2019.02); B60L 53/68 (2019.02);
Abstract

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.


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