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:
Apr. 07, 2026

Filed:

Sep. 30, 2022
Applicant:

Ford Global Technologies, Llc, Dearborn, MI (US);

Inventors:

Jonathan Hair, Northville, MI (US);

Michael Alan Mcnees, Flat Rock, MI (US);

Brendan Diamond, Grosse Pointe, MI (US);

Andrew Denis Lewandowski, Sterling Heights, MI (US);

Lars Niklas Pettersson, Novi, MI (US);

Assignee:

FORD GLOBAL TECHNOLOGIES, LLC, Dearborn, MI (US);

Attorneys:
Primary Examiner:
Int. Cl.
CPC ...
H02J 7/00 (2006.01); B60L 53/00 (2019.01); B60L 53/51 (2019.01); B60L 53/63 (2019.01); B60L 53/64 (2019.01); B60L 53/68 (2019.01); B60L 55/00 (2019.01); G06Q 10/0631 (2023.01); B60L 50/60 (2019.01); B60L 53/50 (2019.01); B60L 53/52 (2019.01);
U.S. Cl.
CPC ...
B60L 53/63 (2019.02); B60L 53/00 (2019.02); B60L 53/51 (2019.02); B60L 53/64 (2019.02); B60L 53/68 (2019.02); B60L 55/00 (2019.02); G06Q 10/0631 (2013.01); H02J 7/0071 (2020.01); B60L 50/60 (2019.02); B60L 53/50 (2019.02); B60L 53/52 (2019.02);
Abstract

Systems and methods are disclosed for prioritizing vehicle charging using energy from renewable/low carbon emission energy sources over non-renewable/high carbon emission energy sources. The proposed systems and methods allow users to identify when to charge their vehicles and/or when to provide energy from their vehicles to other structures based on a currently available energy source mixture and in a manner that minimizes the impact to the environment. In-vehicle connectivity may be utilized to obtain real-time grid information, and a charging schedule may then be created that intelligently prioritizes charging during times when an energy mixture percentage available from renewable/low carbon emission sources exceeds a predefine threshold or when a real-time emissions level is below a predefined threshold.


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