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:
May. 10, 2022

Filed:

Feb. 25, 2019
Applicant:

Toyota Research Institute, Inc., Los Altos, CA (US);

Inventors:

Muratahan Aykol, Santa Clara, CA (US);

Patrick K. Herring, Mountain View, CA (US);

Abraham Anapolsky, San Mateo, CA (US);

Assignee:

TOYOTA RESEARCH INSTITUTE, INC., Los Altos, CA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
B60L 58/12 (2019.01); B60L 58/10 (2019.01); B60L 53/30 (2019.01); G06N 20/00 (2019.01); B60L 50/60 (2019.01);
U.S. Cl.
CPC ...
B60L 58/12 (2019.02); B60L 50/60 (2019.02); B60L 53/30 (2019.02); B60L 58/10 (2019.02); G06N 20/00 (2019.01); B60L 2240/622 (2013.01); B60L 2240/64 (2013.01); B60L 2240/662 (2013.01);
Abstract

Systems, methods, and storage media for determining a target charging level of a battery pack for a drive route are disclosed. A method includes receiving data pertaining to cells within a battery pack installed in each vehicle of a fleet of vehicles, the data received from at least one of each vehicle in the fleet of vehicles, providing the data to a machine learning server, directing the machine learning server to generate a predictive model, the predictive model based on machine learning of the data, receiving a vehicle route request from the vehicle, the vehicle route request corresponding to the drive route, estimating travel conditions of the vehicle based on the route request, determining a temperature of the battery pack in the vehicle, determining a target battery charging level based on the predictive model, the travel conditions, and the temperature, and providing the target battery charging level to the vehicle.


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