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:
Oct. 01, 2024

Filed:

Aug. 20, 2020
Applicant:

International Business Machines Corporation, Armonk, NY (US);

Inventors:

Ronald J. Barber, San Jose, CA (US);

Chad Eric DeLuca, Morgan Hill, CA (US);

Rishabh Anup Nair, Pleasanton, CA (US);

Uche Uba, Hawaiian Gardens, CA (US);

Saisujit Madiraju, San Jose, CA (US);

Niranjan Abhijeet Mirashi, San Jose, CA (US);

Francisco Loya, Antioch, CA (US);

Emmanuel Shedu, Santa Clara, CA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
B60L 9/00 (2019.01); B60L 53/16 (2019.01); B60L 53/62 (2019.01); G06N 20/00 (2019.01); G08G 1/017 (2006.01); G08G 1/14 (2006.01); H02J 7/00 (2006.01);
U.S. Cl.
CPC ...
B60L 53/62 (2019.02); B60L 53/16 (2019.02); G06N 20/00 (2019.01); G08G 1/017 (2013.01); G08G 1/143 (2013.01); H02J 7/0047 (2013.01);
Abstract

A method for managing charging resources of a charging system for plug-in electric vehicles (PEVs), the charging system including a central recording center including a tracking database. The method including initiating a charging session to a first PEV based on detecting that the first PEV has been plugged into a charging station. The first PEV is associated with the charging session in the tracking database. The first PEV is associated, in the tracking database, to a first user and a first PEV profile. The first PEV is charged in accordance with information from the first PEV profile. Charging session data is monitored and stored in the tracking database during the charging session. A machine learning model is generated based on collective charging data. Charge completion time of the first PEV is predicted based on the machine learning model.


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