Tire innerliner-based parameter estimation system and method

1. A tire inner liner-based system for estimating a vehicle parameter comprising:

at least one tire supporting a vehicle, the tire having tire sidewalls and a tire crown supporting a tire inner liner defining a tire air cavity;

at least one tire pressure sensor mounted to the one tire for detecting a measured tire air cavity pressure;

at least one vehicle speed sensor mounted to provide a measured vehicle speed;

at least one tire identification device mounted to the tire for providing a tire identification;

at least one tire inner liner deflection sensor mounted to provide a loaded inner liner radius measurement;

estimating means for calculating a vehicle parameter estimation estimated tire parameter from the measured tire air cavity pressure and the loaded inner liner radius measurement; and

wherein the at least one tire inner liner deflection sensor is a sensor taken from the sensor group laser distance sensor, eddy current sensor, magneto-inductive sensor, capacitive sensor.

2. A tire inner liner-based system for estimating a vehicle parameter comprising:

at least one tire supporting a vehicle, the tire having tire sidewalls and a tire crown supporting a tire inner liner defining a tire air cavity;

at least one tire pressure sensor mounted to the one tire for detecting a measured tire air cavity pressure;

at least one vehicle speed sensor mounted to provide a measured vehicle speed;

at least one tire identification device mounted to the tire for providing a tire identification;

at least one tire inner liner deflection sensor mounted to provide a loaded inner liner radius measurement;

estimating means for calculating a vehicle parameter estimation estimated tire parameter from the measured tire air cavity pressure and the loaded inner liner radius measurement; and

wherein the estimated vehicle parameter is one or more tire parameters taken from the group tire load; aggregate vehicle load, tire longitudinal force; vehicle road surface bank angle; vehicle road surface grade angle; vehicle sideslip angle.

3. A tire inner liner-based system for estimating a vehicle parameter comprising:

at least one tire supporting a vehicle, the tire having tire sidewalls and a tire crown supporting a tire inner liner defining a tire air cavity;

at least one tire pressure sensor mounted to the one tire for detecting a measured tire air cavity pressure;

at least one vehicle speed sensor mounted to provide a measured vehicle speed;

at least one tire identification device mounted to the tire for providing a tire identification;

at least one tire inner liner deflection sensor mounted to provide a loaded inner liner radius measurement;

estimating means for calculating a vehicle parameter estimation estimated tire parameter from the measured tire air cavity pressure and the loaded inner liner radius measurement; and

wherein the estimating means comprises an estimation recursive least squares algorithm receiving as inputs the tire identification, the measured tire air cavity pressure, the loaded inner liner radius measurement and the measured vehicle speed.

4. The inner liner-based system of claim 3 , wherein the least squares algorithm comprises a Kalman filter model.

5. The inner liner-based system of claim 2 , wherein the estimating means is operative to apply the recursive least squares algorithm iteratively at a preselected sampling frequency.

6. A method of estimating a vehicle parameter from an inner liner deflected radius comprising:

supporting a vehicle by at least one tire, the tire having tire sidewalls and a tire crown supporting a tire inner liner defining a tire air cavity;

measuring a tire air cavity pressure by at least one tire pressure sensor mounted to the one tire;

measuring a vehicle speed by at least one vehicle speed sensor;

measuring a loaded inner liner radius by at least one tire inner liner deflection sensor;

calculating an estimated vehicle parameter from the measured tire air cavity pressure and the loaded inner liner radius measurement; and

wherein further comprising employing an estimation recursive least squares algorithm in calculating the estimated vehicle parameter utilizing the tire identification, the measured tire air cavity pressure, the loaded inner liner radius measurement, and the measured vehicle speed as inputs.

7. The method of claim 6 , further comprising applying the recursive least squares algorithm iteratively at a preselected sampling frequency.