US 12,084,054 B2
System and method for predicting wear progression for vehicle tires
Thomas A. Sams, Alliance, OH (US); and Prashanta Gautam, Akron, OH (US)
Assigned to Bridgestone Americas Tire Operations, LLC, Nashville, TN (US)
Filed by Bridgestone Americas Tire Operations, LLC, Nashville, TN (US)
Filed on Sep. 27, 2021, as Appl. No. 17/486,515.
Application 17/486,515 is a continuation of application No. PCT/US2020/025658, filed on Mar. 20, 2020.
Claims priority of provisional application 62/911,496, filed on Oct. 7, 2019.
Claims priority of provisional application 62/889,684, filed on Aug. 21, 2019.
Claims priority of provisional application 62/883,252, filed on Aug. 6, 2019.
Claims priority of provisional application 62/843,863, filed on May 6, 2019.
Claims priority of provisional application 62/827,339, filed on Apr. 1, 2019.
Prior Publication US 2022/0016940 A1, Jan. 20, 2022
Int. Cl. B60W 30/14 (2006.01); B60C 11/24 (2006.01); B60C 23/06 (2006.01); B60C 99/00 (2006.01); B60T 7/12 (2006.01); B60T 8/171 (2006.01); B60W 30/16 (2020.01); G01M 17/02 (2006.01); G06N 7/01 (2023.01); G06Q 10/20 (2023.01); G08G 1/00 (2006.01); H04W 4/44 (2018.01); B60C 19/00 (2006.01)
CPC B60W 30/146 (2013.01) [B60C 11/246 (2013.01); B60C 23/062 (2013.01); B60C 99/006 (2013.01); B60T 7/12 (2013.01); B60T 8/171 (2013.01); B60W 30/162 (2013.01); G01M 17/02 (2013.01); G06N 7/01 (2023.01); G06Q 10/20 (2013.01); G08G 1/22 (2013.01); H04W 4/44 (2018.02); B60C 2019/004 (2013.01); B60T 2201/03 (2013.01); B60T 2210/30 (2013.01); B60T 2240/02 (2013.01); B60T 2240/03 (2013.01); B60W 2530/20 (2013.01); B60W 2555/00 (2020.02); B60W 2556/45 (2020.02)] 10 Claims
OG exemplary drawing
 
1. A method for estimating progression in vehicle tire wear, the method comprising:
developing over time, and storing in data storage, correlations based on historical measurements of changes in tire tread and shifts between corresponding modal frequencies associated with a given type of tire;
storing a tread depth at a first stage for a tire of the given type and associated with a vehicle;
responsive to a first modal analysis for the tire, sensing and storing a first set of one or more modal frequencies for the tire at the first stage;
responsive to a second modal analysis for the tire, at a subsequent second stage, sensing a second set of a corresponding one or more modal frequencies for the tire; and
estimating a tire wear status of the tire at the second stage based on a calculated frequency shift between at least one corresponding modal frequency from each of the first and second sets, wherein an estimated loss in tire tread is determined via a retrievable correlation between the calculated frequency shift and a change in tire tread for a given tire;
predicting one or more tire performance characteristics, based at least in part on the estimated tire wear status; and
selectively providing real-time feedback based on the predicted one or more tire performance characteristics and/or estimated tire wear status.