TIRE SERVICE LIFE MONITORING

• US 20160167446A1
• Filed: 12/10/2014
• Published: 06/16/2016
• Est. Priority Date: 12/10/2014
• Status: Abandoned Application

• Current Assignee: Goodyear Tire & Rubber Company
• Original Assignee: Goodyear Tire & Rubber Company
• Inventors: Rao, Madhu Sudhana Kirugulige, Xu, Su
• Application Number:
  US14/566,324
• Publication Number:
  US 20160167446A1
• Time in Patent Office: Days
• US Class Current: 1/1
• CPC Class Codes: B60C 11/246 Tread wear monitoring systems
• CPC Class Codes: B60C 23/0474 Measurement control, e.g. setting measurement rate or calibrating of sensors; Further processing of measured values, e.g. filtering, compensating or slope monitoring
• CPC Class Codes: B60C 23/0479 Communicating with external units being not part of the vehicle, e.g. tools for diagnostic, mobile phones, electronic keys or service stations
• CPC Class Codes: G06F 16/2291 User-Defined Types; Storage management thereof
• CPC Class Codes: G06F 16/2358 Change logging, detection, and notification replication G06F16/27

Abstract

A method, apparatus and program product to monitor tire service life for one or more vehicles based at least in part on collected tire data. Received tire data for a tire may be analyzed to determine whether a service life of the tire corresponds to an end of service life of a tire data model. Responsive to determining that the service life of the tire corresponds to the end of service life of the tire data model, an alarm may be generated for the tire.

Claims

1. A method for monitoring service life of a tire, the method comprising:

receiving tire data from a tire monitoring system for a particular tire of a vehicle;

analyzing the tire data with a tire data model to determine whether a service life of the particular tire corresponds to an end of service life of the tire data model; and

in response to determining that the service life of the particular tire corresponds to the end of service life of the tire data model, generating an alarm for the particular tire.

2. The method of claim 1, wherein the tire data includes temperature data and pressure data for the particular tire.

3. The method of claim 1, wherein analyzing the tire data with a tire data model to determine whether a service life of the particular tire corresponds to an end of service life of the tire data model comprises:

analyzing a plurality of data points of the tire data to determine whether the data points of the tire data correspond to the tire data model.

4. The method of claim 3, wherein analyzing the plurality of data points of the tire data to determine whether the data points of the tire data correspond to the data point model of the tire data model comprises:

comparing a pattern formed by the data points of the tire data to a modeled data pattern of the tire data model.

5. The method of claim 3, wherein each of the plurality of data points correspond to a temperature value for the particular tire, and analyzing the plurality of data points of the tire data to determine whether the data points of the tire data correspond to the tire data model comprises:

determining whether the temperature values of the plurality of data points correspond to an abnormal temperature spike model included in the tire data model.

6. The method of claim 3, wherein each of the plurality of data points correspond to a pressure value for the particular tire, and analyzing the plurality of data points of the tire data to determine whether the data points of the tire data correspond to the tire data model comprises:

determining whether the pressure values of the plurality of data points correspond to an abnormal pressure spike model included in the tire data model.

7. The method of claim 1, further comprising:

determining whether a system change occurred for the vehicle that corresponds to the particular tire, wherein generating the alarm is responsive to determining that a system change did not occur for the vehicle that corresponds to the particular tire.

8. The method of claim 7, further comprising:

updating the tire data model responsive to determining that a system change occurred for the vehicle that corresponds to the particular tire.

9. The method of claim 1, further comprising:

filtering the tire data based at least in part on odometer data.

10. The method of claim 1, wherein the tire data model corresponds to the vehicle and is based at least in part on historical tire data collected for the vehicle.

11. The method of claim 1, wherein the end of service life of the tire data model corresponds to a defined time period that precedes an expected tire disablement for which the tire data model is configured to model.

12. An apparatus, comprising:

at least one processor; and

program code configured upon execution by the at least one processor to cause the at least one processor to receive tire data from a tire monitoring system for a particular tire of a vehicle, analyze the tire data with a tire data model to determine whether a service life of the particular tire corresponds to an end of service life of the tire data model, and responsive to determining that the service life of the particular tire corresponds to the end of service life of the tire data model, generate an alarm for the particular tire.

13. The apparatus of claim 12, wherein the tire data includes temperature data and pressure data for the particular tire.

14. The apparatus of claim 12, wherein the program code is configured to analyze the tire data with a tire data model to determine whether a service life of the particular tire corresponds to an end of service life of the tire data model by:

analyzing a plurality of data points of the tire data to determine whether the data points of the tire data correspond to the tire data model.

15. The apparatus of claim 14, wherein the program code is configured to analyze the plurality of data points of the tire data to determine whether the data points of the tire data correspond to the data point model of the tire data model by:

comparing a pattern formed by the data points of the tire data to a modeled data pattern of the tire data model.

16. The apparatus of claim 14, wherein each of the plurality of data points correspond to a temperature value for the particular tire, and the program is configured to analyze the plurality of data points of the tire data to determine whether the data points of the tire data correspond to the tire data model by:

determining whether the temperature values of the plurality of data points correspond to a temperature spike model included in the tire data model.

17. The apparatus of claim 12, wherein the program code is further configured upon execution to cause the at least one processor to determine whether a system change occurred for the vehicle that corresponds to the particular tire, wherein generating the alarm is responsive to determining that a system change did not occur for the vehicle that corresponds to the particular tire.

18. The apparatus of claim 17, wherein the program code is further configured upon execution to cause the at least one processor to update the tire data model responsive to determining that a system change occurred for the vehicle that corresponds to the particular tire.

19. The apparatus of claim 12, wherein the program code is further configured upon execution to cause the at least one processor to filter the tire data based at least in part on odometer data.

20. A program product, comprising:

a non-transitory computer readable medium; and

program code stored on the computer readable medium and configured upon execution by at least one processor to cause the at least one processor to receive tire data from a tire monitoring system for a particular tire of a vehicle, analyze the tire data with a tire data model to determine whether a service life of the particular tire corresponds to an end of service life of the tire data model, and responsive to determining that the service life of the particular tire corresponds to the end of service life of the tire data model, generate an alarm for the particular tire.