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. 24, 2022

Filed:

Dec. 17, 2020
Applicant:

GM Global Technology Operations Llc, Detroit, MI (US);

Inventors:

Yubiao Zhang, Sterling Heights, MI (US);

SeyedAlireza Kasaiezadeh Mahabadi, Novi, MI (US);

Ehsan Asadi, North York, CA;

Naser Mehrabi, Richmond Hill, CA;

Hualin Tan, Novi, MI (US);

Assignee:
Attorney:
Primary Examiner:
Int. Cl.
CPC ...
B60W 30/02 (2012.01); B60W 30/18 (2012.01); B60W 10/10 (2012.01); B60W 10/06 (2006.01); B60W 10/08 (2006.01);
U.S. Cl.
CPC ...
B60W 30/02 (2013.01); B60W 30/18172 (2013.01); B60W 10/06 (2013.01); B60W 10/08 (2013.01); B60W 10/10 (2013.01); B60W 2520/26 (2013.01); B60W 2520/28 (2013.01);
Abstract

A traction control module includes a sensor/estimation module configured to output wheel stability data based on a plurality of wheel condition inputs and a wheel stability monitoring module configured to calculate a plurality of wheel stability predictors based on the wheel stability data. Each of the wheel stability predictors is independently indicative of a wheel slip condition. The traction control module further includes a wheel stability data fusion module configured to receive each of the plurality of wheel stability predictors, combine selected wheel stability predictors from the plurality of wheel stability predictors to generate combinations of the wheel stability predictors, and selectively output a torque reduction request based on the combinations of the wheel stability predictors.


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