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. 20, 2026

Filed:

Dec. 19, 2024
Applicant:

Canoo Technologies Inc., Torrance, CA (US);

Inventor:

Nandanshri Bagadi, Fort Worth, TX (US);

Assignee:

WHS ENERGY SOLUTIONS, LLC, Argyle, TX (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
B60L 15/20 (2006.01);
U.S. Cl.
CPC ...
B60L 15/2036 (2013.01);
Abstract

A method includes receiving, by a processing device of a vehicle, a plurality of real-time measurements related to at least one current vehicle condition. The method also includes providing, by the processing device, the plurality of real-time measurements to a long short-term memory (LSTM) machine learning model. The method also includes predicting, by the processing device and using the LSTM machine learning model, a longitudinal speed of the vehicle based on the plurality of real-time measurements. The method also includes determining, by the processing device, a longitudinal slip ratio of each axle or of each wheel. The method also includes initiating, by the processing device based on the determination of the slip ratio, one or more vehicle actions to compensate for the slip ratio.


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Bagadi, Nandanshri. (2026). Lstm neural network based longitudinal vehicle speed prediction for slip detection (U.S. Patent No. 12766978). U.S. Patent and Trademark Office. https://idiyas.com/patent/badge/12766978

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