TIRE WEAR ESTIMATION USING A HYBRID MACHINE LEARNING SYSTEM AND METHOD

    公开(公告)号:WO2020005346A1

    公开(公告)日:2020-01-02

    申请号:PCT/US2019/022919

    申请日:2019-03-19

    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.

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