Tire sensor-based robust road surface roughness classification system and method

• US 9,840,118 B2
• Filed: 12/09/2015
• Issued: 12/12/2017
• Est. Priority Date: 12/09/2015
• Status: Active Grant

• Current Assignee: Goodyear Tire & Rubber Company
• Original Assignee: Goodyear Tire & Rubber Company
• Inventors: Singh, Kanwar Bharat
• Primary Examiner(s): ALLEN, ANDRE J
• Application Number:
  US14/964,029
• Publication Number:
  US 20170166019A1
• Time in Patent Office: 734 Days
• Field of Search: None
• CPC Class Codes: B60C 13/00 Tyre sidewalls; Protecting, decorating, marking, or the like, thereof B60C17/08 takes precedence; tyre shoulders B60C11/01; removable tyre sidewall trim rings B60B7/01
• CPC Class Codes: B60C 23/0408 transmitting the signals by non-mechanical means from the wheel or tyre to a vehicle body mounted receiver
• CPC Class Codes: B60C 23/0415 Automatically identifying wheel mounted units, e.g. after replacement or exchange of wheels
• 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: B60G 2400/821 Uneven, rough road sensing affecting vehicle body vibration
• CPC Class Codes: B60G 2800/162 Reducing road induced vibrations
• CPC Class Codes: B60T 2210/12 Friction
• CPC Class Codes: B60T 2210/14 Rough roads, bad roads, gravel roads
• CPC Class Codes: B60W 40/06 Road conditions
• CPC Class Codes: G01N 19/00 Investigating materials by mechanical methods G01N3/00 - G01N17/00 take precedence

Abstract

A road classification system for determining a road surface condition includes a model having as an input changes in the measured axle vertical acceleration of the vehicle. The model further uses a sensor-measured tire inflation pressure and a tire construction type ascertained from a tire-based identification tag.

Claims

1. A road classification system comprising:

at least one tire supporting a vehicle;

a pressure sensor mounted to the at least one tire and being operable to measure an inflation pressure of the at least one tire;

an identification tag mounted to the at least one tire and being operable to identify the at least one tire by an identification code;

a processor in electronic communication with the pressure sensor to receive the measurement of inflation pressure, and in electronic communication with the identification tag to receive the identification code;

a tire construction database in electronic communication with the processor and being operable for identifying a tire construction type for the at least one tire from the identification code;

a vehicle-mounted axle vertical acceleration sensor operable to measure a vertical acceleration of an axle of the vehicle; and

a road surface classification model in electronic communication with the processor and with the axle vertical acceleration sensor for concluding a road surface condition based on measured changes in an axle vertical acceleration as measured by the axle vertical acceleration sensor and a tire inflation pressure as measured by the pressure sensor and a tire construction type as identified by the identification tag and the tire construction database.

2. The system of claim 1, further comprising a vehicle-mounted speed sensor operable to measure a vehicle speed,

wherein the road surface classification model is in electronic communication with the speed sensor and makes the road surface conclusion based on an inclusive consideration of vehicle speed as measured by the speed sensor.

3. The system of claim 1, further comprising a vehicle-mounted sensor operable to indicate a suspension damper setting,

wherein the road surface classification model is in electronic communication with the suspension damper sensor and makes the road surface conclusion based on an inclusive consideration of a suspension damper setting as indicated by the suspension damper sensor.

4. The system of claim 1, wherein the tire inflation pressure as measured by the pressure sensor and the tire construction as identified by the identification tag and the tire construction database are employed in determining a tire sidewall stiffness.

5. The system of claim 1, wherein the road surface classification model makes the road surface condition conclusion based on changes in the axle vertical acceleration as measured by the axle vertical acceleration sensor, a damping of a main suspension of the vehicle as measured by a suspension damper sensor that is in electronic communication with the road surface classification model, and a vertical stiffness of the one tire.

6. The system of claim 5, wherein the vertical stiffness of the at least one tire is calculated based on the tire inflation pressure as measured by the pressure sensor for the tire construction type as identified by the identification tag and the tire construction database.

7. A road classification system comprising:

at least one tire supporting a vehicle;

a pressure sensor mounted to the at least one tire and being operable to measure an inflation pressure of the at least one tire;

an identification tag mounted to the at least one tire and being operable to identify the at least one tire by an identification code;

a processor in electronic communication with the pressure sensor to receive the measurement of inflation pressure, and in electronic communication with the identification tag to receive the identification code;

a tire construction database in electronic communication with the processor and being operable for identifying a tire construction type for the at least one tire from the identification code;

a vehicle-mounted axle vertical acceleration sensor operable to measure a vertical acceleration of an axle of the vehicle;

a vehicle-mounted speed sensor operable to measure a vehicle speed;

a vehicle-mounted sensor operable to indicate a suspension damper setting; and

a road surface classification model in electronic communication with the processor and with the axle vertical acceleration sensor, the speed sensor and the suspension damper sensor, for making a road surface condition conclusion based on changes in an axle vertical acceleration as measured by the axle vertical acceleration sensor, the tire inflation pressure as measured by the pressure sensor, a tire construction type as identified by the identification tag and the tire construction database, the vehicle speed as measured by the speed sensor and a suspension damper setting as indicated by the suspension damper sensor.

8. The system of claim 7, wherein the tire inflation pressure as measured by the pressure sensor and the tire construction as identified by the identification tag and the tire construction database are employed in determining a tire sidewall stiffness of the at least one tire.

9. The system of claim 8, wherein the road surface classification model makes the conclusion of road surface condition based on changes in an axle vertical acceleration as measured by the axle vertical acceleration sensor, a damping of a main suspension of the vehicle as indicated by the suspension damper sensor and the determined vertical stiffness of the at least one tire.

10. A method of road classification comprising the steps of:

mounting an air pressure measuring sensor to a tire supporting a vehicle, the sensor operable to measure a tire inflation pressure of the tire;

mounting an identification tag to the tire operable to identify the tire by an identification code;

receiving the measurement of tire inflation pressure and the identification code on a processor that is in electronic communication with the air pressure measuring sensor and the identification tag;

employing a tire construction database that is in electronic communication with the processor and which is operable to identify a tire construction type for the tire from the identification code;

mounting an axle vertical acceleration sensor to the vehicle operable to measure an axle a vertical acceleration of an axle of the vehicle;

employing a road surface classification model in electronic communication with the processor and with the axle vertical acceleration sensor for making a road surface condition conclusion based on changes in an axle vertical acceleration as measured by the axle vertical acceleration sensor, a tire inflation pressure as measured by the air pressure measuring sensor and a tire construction type as identified by the identification tag and the tire construction database.

11. The method of claim 10, further comprising the steps of:

mounting a speed sensor to the vehicle operable to measure a vehicle speed, wherein the speed sensor is in electronic communication with the road surface classification model; and

using the vehicle speed as measured by the speed sensor in the road surface classification model to make the road surface condition conclusion.

12. The method of claim 11, further comprising the steps of:

mounting a sensor to the vehicle operable to indicate a suspension damper setting, wherein the suspension damper sensor is in electronic communication with the road surface classification model; and

using the suspension damper setting as indicated by the suspension damper sensor to make the road surface condition conclusion.

13. The method of claim 12, wherein the tire inflation pressure as measured by the air pressure measuring sensor and the tire construction as identified by the identification tag and the tire construction database are employed in determining a tire sidewall stiffness.

14. The method of claim 13, further comprising the step of using the determined tire sidewall stiffness in the road surface classification model to make the road surface condition conclusion.