Invention Grant
- Patent Title: Tire wear estimation using a hybrid machine learning system and method
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Application No.: US16022032Application Date: 2018-06-28
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Publication No.: US10960712B2Publication Date: 2021-03-30
- Inventor: Gian Luca Storti , Mumtaz Vauhkonen , Gregory D. Dibb
- Applicant: Nissan North America, Inc.
- Applicant Address: US TN Franklin
- Assignee: Nissan North America, Inc.
- Current Assignee: Nissan North America, Inc.
- Current Assignee Address: US TN Franklin
- Agency: Young Basile Hanlon & MacFarlane, P.C.
- Main IPC: B60C11/24
- IPC: B60C11/24 ; G07C5/08 ; G06N20/00

Abstract:
A tire tread wear system may include one or more vehicle sensors and a processor. The processor may include a control module, a geometrical model, a machine learning model, and a switch. The geometrical model may be configured to collect data from the vehicle sensors to determine a dynamic rolling radius of a tire. The geometrical model may be configured to output a tread wear estimation based on the dynamic rolling radius of the tire. The machine learning model may be configured to collect data from the vehicle sensors. The machine learning model may be configured to output a tread wear estimation based on a correlation of the tread wear estimation output from the geometrical model and one or more data instances with a tire tread state. The switch may be configured to activate the geometrical model, the machine learning model, or a combination thereof.
Public/Granted literature
- US20200001662A1 Tire Wear Estimation Using a Hybrid Machine Learning System and Method Public/Granted day:2020-01-02
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