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    TREAD WEAR MONITORING SYSTEM AND METHOD
    2.
    发明申请
    TREAD WEAR MONITORING SYSTEM AND METHOD 有权

    公开(公告)号：US20210245554A1

    公开(公告)日：2021-08-12

    申请号：US17252015

    申请日：2019-06-11

    Applicant: Bridgestone Europe NV/SA [BE/BE]

    Inventor： Vincenzo Ciaravola ,  Alessandro Boldrini ,  Lorenzo Alleva ,  Alfredo Corollaro ,  Marco Andrea Maggi ,  Marco Pascucci

    IPC: B60C11/24 ,  G01M17/02

    Abstract: The invention concerns a tread wear monitoring method comprising a tread wear model calibration step (1) and a tread wear monitoring step (2), wherein the tread wear model calibration step (1) includes determining (13) a calibrated tread wear model based on tread-wear-related quantities and first frictional-energy-related quantities. The tread wear monitoring step (2) includes: acquiring (21), from a vehicle bus (40) of a motor vehicle (4) equipped with two or more wheels fitted, each, with a tire, driving-related quantities related to driving of the motor vehicle (4); computing (22) second frictional-energy-related quantities related to frictional energy experienced, during driving, by a given tire of the motor vehicle (4) by providing a predefined vehicle dynamics model that mathematically relates the acquired driving-related quantities to the second frictional-energy-related quantities, and computing the second frictional-energy-related quantities by inputting the acquired driving-related quantities into the predefined vehicle dynamics model; and performing a tread wear estimation (23) and a remaining tread material prediction (24) based on the second frictional-energy-related quantities computed and the calibrated tread wear model. The tread wear model calibration step (1) further includes: performing (11) tread wear tests on one or more tires; and measuring (12) tread-wear-related quantities indicative of tread depth reductions resulting from the performed tread wear tests, and first frictional-energy-related quantities related to frictional energy which the tested tire(s) is/are subject to during the performed tread wear tests. Determining (13) a calibrated tread wear model includes: providing a predefined reference tread wear model that mathematically relates frictional energy experienced by a tire along a driving route to tread wear caused by said frictional energy through given parameters; computing calibration values of the given parameters by inputting the measured tread-wear-related and first frictional-energy-related quantities into the predefined reference tread wear model; and determining the calibrated tread wear model by applying the computed calibration values in the predefined reference tread wear model.

    Tread wear monitoring system and method
    3.
    发明授权
    Tread wear monitoring system and method 有权

    公开(公告)号：US11458776B2

    公开(公告)日：2022-10-04

    申请号：US17252015

    申请日：2019-06-11

    Applicant: Bridgestone Europe NV/SA [BE/BE]

    Inventor： Vincenzo Ciaravola ,  Alessandro Boldrini ,  Lorenzo Alleva ,  Alfredo Corollaro ,  Marco Andrea Maggi ,  Marco Pascucci

    IPC: B60C11/24 ,  G01M17/02 ,  B60C23/04 ,  G01S19/24

    Abstract: The invention concerns a tread wear monitoring method comprising a tread wear model calibration step (1) and a tread wear monitoring step (2), wherein the tread wear model calibration step (1) includes determining (13) a calibrated tread wear model based on tread-wear-related quantities and first frictional-energy-related quantities. The tread wear monitoring step (2) includes: acquiring (21), from a vehicle bus (40) of a motor vehicle (4) equipped with two or more wheels fitted, each, with a tire, driving-related quantities related to driving of the motor vehicle (4); computing (22) second frictional-energy-related quantities related to frictional energy experienced, during driving, by a given tire of the motor vehicle (4) by providing a predefined vehicle dynamics model that mathematically relates the acquired driving-related quantities to the second frictional-energy-related quantities, and computing the second frictional-energy-related quantities by inputting the acquired driving-related quantities into the predefined vehicle dynamics model; and performing a tread wear estimation (23) and a remaining tread material prediction (24) based on the second frictional-energy-related quantities computed and the calibrated tread wear model. The tread wear model calibration step (1) further includes: performing (11) tread wear tests on one or more tires; and measuring (12) tread-wear-related quantities indicative of tread depth reductions resulting from the performed tread wear tests, and first frictional-energy-related quantities related to frictional energy which the tested tire(s) is/are subject to during the performed tread wear tests. Determining (13) a calibrated tread wear model includes: providing a predefined reference tread wear model that mathematically relates frictional energy experienced by a tire along a driving route to tread wear caused by said frictional energy through given parameters; computing calibration values of the given parameters by inputting the measured tread-wear-related and first frictional-energy-related quantities into the predefined reference tread wear model; and determining the calibrated tread wear model by applying the computed calibration values in the predefined reference tread wear model.

    INTERNATIONAL ROUGHNESS INDEX ESTIMATION METHOD AND SYSTEM
    5.
    发明公开
    INTERNATIONAL ROUGHNESS INDEX ESTIMATION METHOD AND SYSTEM 审中-公开

    公开(公告)号：US20240185646A1

    公开(公告)日：2024-06-06

    申请号：US18284947

    申请日：2022-03-30

    Applicant: Bridgestone Europe NV/SA [BE/BE]

    Inventor： Lorenzo Alleva ,  Alessandro Boldrini ,  Vittorio Nicolosi ,  Emiliano Ascenzi

    IPC: G07C5/02 ,  G07C5/00

    CPC classification number: G07C5/02 ,  G07C5/008

    Abstract: The invention concerns an International Roughness Index (IRI) estimation method comprising a preliminary step (10) and an IRI estimation step (20), wherein the preliminary step (10) includes: collecting (11) first vehicle vertical acceleration values measured on one or more motor vehicles (40) driven at one or more given constant speeds on one or more roads or road segments associated with known IRI values or known road profiles, first vehicle geo-referencing data of the measured first vertical acceleration values, and first vehicle speed data indicative of the given constant speed(s) associated with the measured first vertical acceleration values; computing (12) first root mean square values of the first vehicle vertical acceleration values: and determining (13), based on the known IRI values/road profiles, on the first vehicle geo-referencing and speed data and on the first root mean square values, one or more vehicle transfer functions mathematically relating vehicle vertical acceleration root mean square values and IRI values at the given constant speed(s). The IRI estimation step (20) includes: acquiring (21) second vehicle vertical acceleration values measured on a given motor vehicle (40) driven at a driving speed on a given road or road segment: computing (22) second root mean square values of the second vehicle vertical acceleration values: and estimating (23) an IRI value for the given road or road segment based on one or more vehicle transfer functions determined in the preliminary step (10) and on the second root mean square values and the driving speed of the given motor vehicle (40).

    Tread wear monitoring system and method
    6.
    发明授权
    Tread wear monitoring system and method 有权

    公开(公告)号：US11458777B2

    公开(公告)日：2022-10-04

    申请号：US17262847

    申请日：2019-07-30

    Applicant: Bridgestone Europe NV/SA [BE/BE]

    Inventor： Vincenzo Ciaravola ,  Marco Andrea Maggi ,  Alfredo Corollaro ,  Lorenzo Alleva ,  Alessandro Boldrini ,  Valerio Bortolotto ,  Rufini Flavia

    IPC: B60C11/24 ,  G01M17/02

    Abstract: The invention concerns a tread wear monitoring method comprising a preliminary step (6) and a tread wear monitoring step (7). The preliminary step (6) includes: performing tread wear tests on one or more tires; measuring tread-wear-related quantities and first frictional-energy-related quantities, wherein the tread wear-related quantities are indicative of tread wear resulting from the performed tread wear tests, and the first frictional-energy-related quantities are related to frictional energy which the tested tire(s) is/are subject to during the performed tread wear tests; and determining a calibrated tread wear model based on the measured tread-wear-related and first frictional-energy-related quantities. The tread wear monitoring step (7) includes: acquiring, from a vehicle bus (40) of a motor vehicle (4) equipped with two or more wheels fitted, each, with a tire, driving-related quantities related to driving of the motor vehicle (4); computing, based on the acquired driving-related quantities and a predefined vehicle dynamics model related to the motor vehicle (4), second frictional-energy-related quantities related to frictional energy experienced, during driving, by at least one tire of the motor vehicle (4); estimating, based on the second frictional-energy-related quantities and the calibrated tread wear model, tread wear experienced by said at least one tire of the motor vehicle (4) during driving; and estimating a current average remaining tread material amount of said at least one tire of the motor vehicle (4) based on the estimated tread wear. Additionally, the preliminary step (6) further includes: determining, based on one or more of the measured tread-wear-related quantities, a first correction factor related to irregular tread wear due to tire features; and training an artificial neural network to provide second correction factors related to irregular tread wear due to tire usage. Finally, the tread wear monitoring step (7) further includes: providing a second correction factor by means of the trained artificial neural network based on one or more of the acquired driving-related quantities; and computing a corrected remaining tread material amount based on the current average remaining tread material amount, the first correction factor and the second correction factor provided by the trained artificial neural network based on the one or more acquired driving-related quantities.

    Tread Wear Monitoring System and Method
    8.
    发明申请
    Tread Wear Monitoring System and Method 有权

    公开(公告)号：US20210188017A1

    公开(公告)日：2021-06-24

    申请号：US17262847

    申请日：2019-07-30

    Applicant: Bridgestone Europe NV/SA [BE/BE]

    Inventor： Vincenzo Ciaravola ,  Marco Andrea Maggi ,  Alfredo Corollaro ,  Lorenzo Alleva ,  Alessandro Boldrini ,  Valerio Bortolotto ,  Rufini Flavia

    IPC: B60C11/24 ,  G01M17/02

    Abstract: The invention concerns a tread wear monitoring method comprising a preliminary step (6) and a tread wear monitoring step (7). The preliminary step (6) includes: performing tread wear tests on one or more tires; measuring tread-wear-related quantities and first frictional-energy-related quantities, wherein the tread wear-related quantities are indicative of tread wear resulting from the performed tread wear tests, and the first frictional-energy-related quantities are related to frictional energy which the tested tire(s) is/are subject to during the performed tread wear tests; and determining a calibrated tread wear model based on the measured tread-wear-related and first frictional-energy-related quantities. The tread wear monitoring step (7) includes: acquiring, from a vehicle bus (40) of a motor vehicle (4) equipped with two or more wheels fitted, each, with a tire, driving-related quantities related to driving of the motor vehicle (4); computing, based on the acquired driving-related quantities and a predefined vehicle dynamics model related to the motor vehicle (4), second frictional-energy-related quantities related to frictional energy experienced, during driving, by at least one tire of the motor vehicle (4); estimating, based on the second frictional-energy-related quantities and the calibrated tread wear model, tread wear experienced by said at least one tire of the motor vehicle (4) during driving; and estimating a current average remaining tread material amount of said at least one tire of the motor vehicle (4) based on the estimated tread wear. Additionally, the preliminary step (6) further includes: determining, based on one or more of the measured tread-wear-related quantities, a first correction factor related to irregular tread wear due to tire features; and training an artificial neural network to provide second correction factors related to irregular tread wear due to tire usage. Finally, the tread wear monitoring step (7) further includes: providing a second correction factor by means of the trained artificial neural network based on one or more of the acquired driving-related quantities; and computing a corrected remaining tread material amount based on the current average remaining tread material amount, the first correction factor and the second correction factor provided by the trained artificial neural network based on the one or more acquired driving-related quantities.

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