Vehicle Integrated Expected Tread-Life Indicator System

Patent metadata

Field	Value
Publication number	US-2019009618-A1
Application number	US-201716081122-A
Country	US
Kind code	A1
Filing date	Mar 9, 2017
Priority date	Mar 9, 2016
Publication date	Jan 10, 2019
Grant date	—

Abstract

Example aspects of the present disclosure provide a vehicle integrated expected tread-life indicator system and methods of operation thereof. One example computer-implemented method includes receiving data associated with one or more tread depth measurements. The one or more tread depth measurements were made by a measurement device external to a vehicle. The one or more tread depth measurements are descriptive of a tread depth of at least one tread of at least one tire of the vehicle. The method includes associating a respective distance value with each of the one or more tread depth measurements. The method includes accessing a model that correlates the one or more tread depth measurements to a projected tread depth. The method includes determining an estimated distance at which the projected tread depth is expected to equal or pass a tread depth threshold based at least in part on the model. The method includes providing the estimated distance to a notification system.

First claim

What is claimed is:

1 . A computer-implemented method for monitoring tire tread-life, the method comprising:
receiving, by one or more processors, data associated with one or more tread depth measurements, the one or more tread depth measurements made by a measurement device external to a vehicle, the one or more tread depth measurements descriptive of a tread depth of at least one tread of at least one tire of the vehicle; associating, by the one or more processors, a respective distance value with each of the one or more tread depth measurements; accessing, by the one or more processors, a model that correlates the one or more tread depth measurements to a projected tread depth; determining, by the one or more processors, an estimated distance or estimated time at which the projected tread depth is expected to equal or pass a tread depth threshold based at least in part on the model; and providing, by the one or more processors, the estimated distance or the estimated time to a notification system, the notifications system integrated into the vehicle.

2 . The computer-implemented method of claim 1 , further comprising:
receiving, by the one or more processors, sensor data from one or more sensors integrated into the vehicle; and adjusting, by the one or more processors, the estimated distance or the estimated time based at least in part on the sensor data received from the one or more sensors integrated into the vehicle.

3 . The computer-implemented method of claim 2 , wherein receiving, by the one or more processors, the sensor data comprises receiving, by the one or more computing devices, at least one of: lateral acceleration data; longitudinal acceleration data; speed data; weather data; geographic location data; steer angle data; vehicle yaw, pitch, and roll data; and tire inflation pressure data.

4 . The computer-implemented method of claim 2 , wherein adjusting, by the one or more processors, the estimated distance or the estimated time based at least in part on the sensor data comprises:
identifying, by the one or more processors, an abnormal change in the sensor data; and in response to identification of the abnormal change in the sensor data, adjusting, by the one or more processors, the estimated distance or the estimated time based at least in part the identified abnormal change in the sensor data.

5 . The computer-implemented method of claim 1 , wherein determining, by the one or more processors, the estimated distance or the estimated time at which the projected tread depth is expected to equal or pass the tread depth threshold comprises:
determining, by the one or more processors, a projection for the projected tread depth based at least in part on one or more tread depth measurements; and identifying, by the one or more processors, the estimated distance or the estimated time based at least in part on the projection and based at least in part on the tread depth threshold.

6 . The computer-implemented method of claim 1 , wherein:
receiving, by the one or more processors, data associated with one or more tread depth measurements comprises receiving, by the one or more computing devices, data associated with a plurality of tread depth measurements respectively for a plurality of tread grooves of the at least one tire; accessing, by the one or more processors, a model that correlates the one or more tread depth measurements to the projected tread depth comprises accessing, by the one or more processors, the model that correlates the plurality of tread depth measurements respectively to a plurality of projected tread depths respectively for the plurality of tread grooves of the at least one tire; and determining, by the one or more processors, the estimated distance or the estimated time at which the projected tread depth is expected to equal or pass the tread depth threshold comprises determining, by the one or more computing devices, the estimated distance or the estimated time at which a number of the plurality of projected tread depths respectively for the plurality of tread grooves is expected to equal or pass a respective tread depth threshold for such tread.

7 . The computer-implemented method of claim 1 , further comprising:
monitoring, by the notification system, a current distance of the vehicle; and providing, by the notification system, an alert to an operator of the vehicle when the current distance of the vehicle reaches or approaches the estimated distance or the estimated time at which the projected tread depth is expected to equal or pass the tread depth threshold.

8 . The computer-implemented method of claim 1 , wherein the one or more processors are integrated into the vehicle.

9 . A system for monitoring tire tread-life, the system comprising one or more computing devices that include at least one processor and at least one non-transitory computer-readable medium that stores instructions that, when executed by the at least one processor, cause the one or more computing devices to:
receive data associated with one or more tread depth measurements, wherein the one or more tread depth measurements were made by a measurement device external to a vehicle, and wherein the one or more tread depth measurements are descriptive of a tread depth of at least one tread of at least one tire of the vehicle; associate a respective distance value with each of the one or more tread depth measurements; access a model that correlates the one or more tread depth measurements to a projected tread depth; determine an estimated distance at which the projected tread depth is expected to equal or pass a tread depth threshold based at least in part on the model; and provide the estimated distance to a notification system integrated as part of the vehicle.

10 . The system of claim 9 , wherein execution of the instructions by the at least one processor further causes the one or more computing devices to:
receive sensor data from one or more sensors integrated into the vehicle, wherein the sensor data comprises at least one of: lateral acceleration data; longitudinal acceleration data; speed data; weather data; geographic location data; steer angle data; vehicle yaw, pitch, and roll data; and tire inflation pressure data; and adjust the estimated distance based at least in part on the sensor data received from the one or more sensors integrated into the vehicle.

11 . The system of claim 9 , wherein to determine the estimated distance at which the projected tread depth is expected to equal or pass the tread depth threshold, the one or more computing devices:
determine a linear projection for the projected tread depth based at least in part on one or more tread depth measurements; and identify the estimated distance based at least in part on the linear projection and based at least in part on the tread depth threshold.

12 . The system of claim 9 , wherein execution of the instructions by the at least one processor causes the one or more computing devices to:
receive data associated with a plurality of tread depth measurements respectively for a plurality of tread grooves of the at least one tire; access the model that correlates the plurality of tread depth measurements respectively to a plurality of projected tread depths respectively for the plurality of tread grooves of the at least one tire; and determine the estimated distance at which any of the plurality of projected tread depths respectively for the plurality of tread grooves is expected to equal or pass a respective tread depth threshold for such tread.

13 . The system of claim 9 , further comprising:
the notification system, the notific

Assignees

• Mcpillan Erin
• Pajtas Scott
• Michelin & Cie

Inventors

• Mcpillan Erin
• Pajtas Scott Robert

Classifications

• B60Q9/00

  Arrangement or adaptation of signal devices not provided for in one of main groups B60Q1/00 - B60Q7/00 {, e.g. haptic signalling} · CPC title

• B60C11/246 Primary

  Tread wear monitoring systems · CPC title

• G01M17/02

  Tyres · CPC title