Tire temperature predictive system and method

• US 9,636,955 B2
• Filed: 06/11/2014
• Issued: 05/02/2017
• Est. Priority Date: 06/11/2014
• Status: Active Grant

• Current Assignee: Goodyear Tire & Rubber Company
• Original Assignee: Goodyear Tire & Rubber Company
• Inventors: Singh, Kanwar Bharat, Veppathur Sivaramakrishnan, Srikanth, Parsons, Anthony William
• Primary Examiner(s): Verbitsky, Gail Kaplan
• Application Number:
  US14/301,393
• Publication Number:
  US 20150360525A1
• Time in Patent Office: 1,056 Days
• Field of Search: 374141, 374142, 374143, 374153, 374137, 374 29, 374166, 374 44, 374154
• CPC Class Codes: B60C 23/20 Devices for measuring or signalling tyre temperature only
• CPC Class Codes: B60W 2520/105 Longitudinal acceleration
• CPC Class Codes: B60W 2520/14 Yaw
• CPC Class Codes: B60W 2520/26 Wheel slip
• CPC Class Codes: B60W 40/12 related to parameters of the vehicle itself , e.g. tyre models
• CPC Class Codes: G01K 13/08 in rotary movement

Abstract

A tire-based system and method for estimating a radially outward tire surface temperature of an identified tire supporting an identified vehicle includes a temperature sensor to measure a tire inner liner temperature. An algorithmic prediction model is empirically trained to correlate inner liner tire temperature to tire radially outward surface temperature for the tire/vehicle combination. The empirically trained algorithmic prediction model receives a steady state temperature-based model inputs including the tire inner liner temperature and an ambient temperature measurement and transient behavior vehicle-based inputs. Based upon the steady state inputs and the transient behavior inputs, a radially outward tire surface temperature estimation is made.

Claims

1. A tire-based system for real-time estimation of a temperature of a radially outward tire surface of an identified tire supporting an identified vehicle, the system comprising:

at least one tire inner liner temperature sensor mounted to the tire operative to measure a tire inner liner temperature, the inner liner temperature being a first steady state input;

at least one ambient air temperature sensor disposed on the vehicle operative to measure an ambient air temperature, the ambient air temperature being a second steady state input;

at least one vehicle-based sensor providing vehicle-based transient behavior measurements, the transient behavior measurements being used in the generation of transient behavior vehicle-based inputs;

an algorithmic prediction model correlating inner liner tire temperature to the temperature of the tire radially outward surface for the combination represented by the identified tire and the identified vehicle, the algorithmic prediction model operatively receiving the steady-state inputs and the transient behavior vehicle-based inputs and generating based upon the steady-state inputs and the transient behavior inputs a real-time estimation of the temperature of the radially outward surface of the vehicle tire during vehicle operation; and

at least one vehicle control system that operatively receives the real-time estimation of the temperature of the radially outward surface of the vehicle tire.

2. The system of claim 1, wherein the algorithmic model is empirically trained to correlate inner liner tire temperature to tire radially outward surface temperature for the combination represented by the identified tire and the identified vehicle by a specifically identified tire location on the vehicle.

3. The system of claim 1, wherein the system further comprises frictional energy calculating means for generating the transient behavior vehicle-based inputs to the algorithmic prediction model from the vehicle-based transient behavior measurements.

4. The system of claim 3, wherein the vehicle-based transient behavior measurements comprise at least vehicle acceleration, slip angle and yaw rate.

5. The system of claim 1, wherein the algorithmic prediction model combines frictional energy loss from travel of the tire over a surface, thermal surface conduction loss from the tire to the surface;

air convection thermal loss from the tire to the air surrounding the tire and internal conduction thermal loss within the tire.

6. A tire-based method for real-time estimation of a temperature of a radially outward tire surface of an identified tire supporting an identified vehicle, the method comprising:

identifying the tire supporting the vehicle;

identifying the vehicle;

mounting at least one temperature sensor to the tire operative to measure a tire inner liner temperature as a first steady state input;

measuring as a second steady state input an ambient air temperature with at least one ambient air temperature sensor disposed on the vehicle;

providing vehicle-based transient behavior measurements with at least one vehicle-based sensor, the vehicle-based transient behavior measurements being used to generate transient behavior vehicle-based inputs;

empirically training an algorithmic prediction model to correlate inner liner tire temperature to tire radially outward surface temperature for the combination represented by the identified tire and the identified vehicle;

inputting into the empirically trained algorithmic prediction model the steady-state inputs and the transient behavior vehicle-based inputs;

generating based upon the steady-state inputs and the transient behavior inputs a real-time estimation of the temperature of the radially outward surface of the vehicle tire during vehicle operation; and

using the real-time estimation of the temperature of the radially outward surface of the vehicle tire in at least one vehicle control system.

7. The method of claim 6, wherein the method further comprises empirically training the algorithmic model to correlate inner liner tire temperature to tire radially outward surface temperature for the combination represented by the identified tire and the identified vehicle by a specifically identified tire location on the vehicle.

8. The method of claim 6, wherein the method further comprises

calculating frictional energy as transient behavior vehicle-based inputs to the algorithmic prediction model from the vehicle-based transient behavior measurements.

9. The method of claim 8, wherein the vehicle-based transient behavior measurements comprise at least vehicle acceleration, slip angle, and yaw rate.

10. The method of claim 6, wherein the method further comprises combining within the algorithmic prediction model frictional energy loss from travel of the tire over a surface, thermal surface-conduction loss from the tire to the surface;

air-convection thermal loss from the tire to the air surrounding the tire; and

internal-conduction thermal loss within the tire.