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.
Patent No.:
Date of Patent:
Jul. 28, 2026
Filed:
Dec. 22, 2023
Applicant:
Strong Force Tp Portfolio 2022, Llc, Fort Lauderdale, FL (US);
Inventor:
Charles Howard Cella, Pembroke, MA (US);
Assignee:
STRONG FORCE TP PORTFOLIO 2022, LLC, Fort Lauderdale, FL (US);
Primary Examiner:
Int. Cl.
CPC ...
G06N 20/00 (2019.01); A61B 5/00 (2006.01); A61B 5/16 (2006.01); B60W 40/08 (2012.01); G01C 21/34 (2006.01); G01C 21/36 (2006.01); G05B 13/02 (2006.01); G05D 1/00 (2024.01); G05D 1/20 (2024.01); G05D 1/224 (2024.01); G05D 1/225 (2024.01); G05D 1/226 (2024.01); G05D 1/227 (2024.01); G05D 1/228 (2024.01); G05D 1/229 (2024.01); G05D 1/24 (2024.01); G05D 1/43 (2024.01); G05D 1/646 (2024.01); G05D 1/69 (2024.01); G05D 1/692 (2024.01); G05D 1/81 (2024.01); G06F 18/2413 (2023.01); G06F 40/40 (2020.01); G06N 3/04 (2023.01); G06N 3/044 (2023.01); G06N 3/045 (2023.01); G06N 3/08 (2023.01); G06N 3/086 (2023.01); G06N 3/126 (2023.01); G06Q 30/0208 (2023.01); G06Q 30/0251 (2023.01); G06Q 50/18 (2012.01); G06Q 50/40 (2024.01); G06V 10/764 (2022.01); G06V 10/82 (2022.01); G06V 20/56 (2022.01); G06V 20/59 (2022.01); G06V 20/64 (2022.01); G07C 5/00 (2006.01); G07C 5/02 (2006.01); G07C 5/08 (2006.01); G10L 15/16 (2006.01); G10L 25/63 (2013.01); A61B 5/0533 (2021.01); A61B 5/1171 (2016.01); A61B 5/369 (2021.01); G05D 101/10 (2024.01); G06N 3/02 (2006.01); G06N 3/048 (2023.01); G06Q 10/40 (2026.01); G06Q 30/02 (2023.01); G08G 1/00 (2006.01); G08G 1/0968 (2006.01);
U.S. Cl.
CPC ...
G06N 20/00 (2019.01); A61B 5/165 (2013.01); A61B 5/6893 (2013.01); A61B 5/7264 (2013.01); B60W 40/08 (2013.01); G01C 21/3438 (2013.01); G01C 21/3461 (2013.01); G01C 21/3469 (2013.01); G01C 21/3617 (2013.01); G05B 13/027 (2013.01); G05D 1/0022 (2013.01); G05D 1/0088 (2013.01); G05D 1/0212 (2013.01); G05D 1/0287 (2013.01); G05D 1/20 (2024.01); G05D 1/224 (2024.01); G05D 1/225 (2024.01); G05D 1/226 (2024.01); G05D 1/227 (2024.01); G05D 1/228 (2024.01); G05D 1/229 (2024.01); G05D 1/24 (2024.01); G05D 1/43 (2024.01); G05D 1/646 (2024.01); G05D 1/69 (2024.01); G05D 1/692 (2024.01); G05D 1/81 (2024.01); G06F 18/2414 (2023.01); G06F 40/40 (2020.01); G06N 3/0418 (2013.01); G06N 3/044 (2023.01); G06N 3/045 (2023.01); G06N 3/08 (2013.01); G06N 3/086 (2013.01); G06N 3/126 (2013.01); G06Q 30/0208 (2013.01); G06Q 30/0265 (2013.01); G06Q 50/188 (2013.01); G06Q 50/40 (2024.01); G06V 10/764 (2022.01); G06V 10/82 (2022.01); G06V 20/56 (2022.01); G06V 20/59 (2022.01); G06V 20/597 (2022.01); G06V 20/64 (2022.01); G07C 5/006 (2013.01); G07C 5/008 (2013.01); G07C 5/02 (2013.01); G07C 5/08 (2013.01); G07C 5/0808 (2013.01); G07C 5/0816 (2013.01); G07C 5/0866 (2013.01); G07C 5/0891 (2013.01); G10L 15/16 (2013.01); G10L 25/63 (2013.01); A61B 5/0059 (2013.01); A61B 5/0533 (2013.01); A61B 5/1176 (2013.01); A61B 5/163 (2017.08); A61B 5/369 (2021.01); A61B 2503/22 (2013.01); A61B 2562/0219 (2013.01); A61B 2562/0223 (2013.01); B60W 2040/0881 (2013.01); G01C 21/3484 (2013.01); G05D 2101/10 (2024.01); G06N 3/02 (2013.01); G06N 3/048 (2023.01); G06Q 10/40 (2026.01); G06Q 30/0281 (2013.01); G08G 1/0968 (2013.01); G08G 1/20 (2013.01); Y02T 10/70 (2013.01); Y02T 10/7072 (2013.01); Y02T 90/12 (2013.01);
Abstract
A method of executing a charging plan for at least one vehicle in a transportation system includes: receiving, at a charging infrastructure control system, operational state and energy consumption information for a plurality of network-enabled vehicles; predicting a geolocation of one or more vehicles of the plurality of network-enabled vehicles in a geographic region; allocating the one or more vehicles of the plurality of network-enabled vehicles to charging infrastructure in the geographic region; and optimizing, at an artificial intelligence system, a parameter of the charging plan based on the prediction of the geolocation of the one or more vehicles in the geographic region.