Abstract: A tire wear state estimation system estimates forces and sliding velocity generated in a tire contact patch, determines frictional energy from the tire force and sliding velocity, and generates an estimate of tire wear state based upon the frictional work done by the tire. A tire wear estimate, pursuant to the system and methodology, is made by determining the amount of frictional work performed by the tire through the integrated use of tire-mounted, GPS sourced, and vehicle-mounted sensor information.

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.

Abstract: A tire wear state estimation system includes a vehicle-based sensor for measuring wheel speed of a tire-supporting and first and second features extracted from the wheel speed signal. A data classifier conducts a classification of the first extraction feature data relative to the second extraction feature data by a statistical analysis of the wheel speed signal to estimate the wear state of the tire.

Abstract: A system for predicting tire lift-off propensity of a vehicle tire includes a vehicle tire-affixed tire-identification device for providing a tire-specific identification, multiple tire-affixed sensors mounted to the tire measuring tire-specific parameters and generating tire-specific parameter information, one or more vehicle-affixed sensor(s) mounted to the vehicle to measure vehicle speed and a lift-off propensity estimator generating a lift-off propensity for the vehicle tire from a database containing experimentally-derived, tire-ID specific, lift-off propensities correlated with measured tire-specific parameter information and vehicle speeds.

Abstract: A tire-based system and method for estimating road surface friction includes a model-based longitudinal stiffness estimation generator using tire-based parameter inputs and vehicle-based parameter inputs; an actual longitudinal stiffness estimation generator using real-time vehicle-based parameter inputs; and a tire road friction estimation generator for deriving a tire road friction estimation from a comparative analysis between the actual longitudinal stiffness estimation and the model-based longitudinal stiffness estimation. A road surface classifier algorithm is employed to generate a road surface type analysis from the road friction estimation, an ambient air temperature measurement, and an ambient air moisture measurement.

Abstract: A tire state estimation system is provided for estimating normal force, lateral force and longitudinal forces based on CAN-bus accessible sensor inputs; the normal force estimator generating the normal force estimation from a summation of longitudinal load transfer, lateral load transfer and static normal force using as inputs lateral acceleration, longitudinal acceleration and roll angle derived from the input sensor data; the lateral force estimator estimating lateral force using as inputs measured lateral acceleration, longitudinal acceleration and yaw rate; and the longitudinal force estimator estimating the longitudinal force using as inputs wheel angular speed and drive/brake torque derived from the input sensor data.

Abstract: An assembly determines operating parameters of a tire. The assembly includes a tripod sensor mounted within an inner cavity of the tire underneath a crown portion and an innerliner on which the tripod sensor is mounted. The tripod sensor includes a tri-axial accelerometer for creating a circumferential signal for determining slip ratio, a lateral signal for determining a slip angle, and a radial signal for determining load on the tire.

Abstract: A tire cornering stiffness estimation system and method includes multiple tire-affixed sensors mounted to a supportive vehicle tire for operably measuring tire-specific parameters and generating tire-specific information relating tire pressure, temperature, wear state, tire identification and tire loading. One or more accelerometer(s) are mounted to the hub supporting the tire to generate a hub accelerometer signal. A model-based tire cornering stiffness estimator is included to generate a model-derived tire cornering stiffness estimation based upon the hub accelerometer signal adapted by the tire-specific information.

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.

Abstract: A tire state estimation method is provided for estimating normal force, lateral force and longitudinal forces based on CAN-bus accessible sensor inputs, including deploying a normal force estimator generating the normal force estimation from a summation of longitudinal load transfer, lateral load transfer and static normal force using as inputs lateral acceleration, longitudinal acceleration and roll angle derived from the input sensor data; deploying a lateral force estimator estimating lateral force using as inputs measured lateral acceleration, longitudinal acceleration and yaw rate; and deploying a longitudinal force estimator estimating the longitudinal force using as inputs wheel angular speed and drive/brake torque derived from the input sensor data.

Abstract: An optimal tire slip ratio estimation system and method affixes a tire-identification device to a vehicle tire to provide a tire-specific identification and one or more sensors affixed to the tire for measuring one or more tire-specific parameters. A model-based optimal slip ratio estimator generates a model-derived optimal tire slip ratio estimation based upon an assessment of sensor-derived tire-specific parameter information based on the tire-specific identification.

Abstract: A tire tracking system and method for tracking travel mileage experienced by a vehicle tire includes multiple tire-based sensors affixed to the tire generating identified tire-specific operating condition measurements. The tire-specific operating condition measurements include tire temperature, tire air inflation pressure, a tire wear state measurement and a tire load measurement. A rolling radius estimation model generates a tire rolling radius estimation compensated by the tire-specific operating condition measurements and a vehicle speed estimator generates a vehicle speed estimation based on the compensated tire rolling radius.

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.

Abstract: A method for estimating a tire state, such as tire wear state, includes utilizing a vehicle-based sensor for measuring a wheel speed of the tire and generating a wheel speed signal, extracting through statistical analysis a first extracted feature such as slip-ratio rate from the wheel speed signal, extracting through statistical analysis a second extracted feature such as median slip-ratio from the wheel speed signal, classifying data from the first extracted feature and data from the second extracted feature using a support vector data classification algorithm and applying the algorithm to estimate the tire state.

Abstract: A tire wear state estimation system estimates forces and sliding velocity generated in a tire contact patch, determines frictional energy from the tire force and sliding velocity, and generates an estimate of tire wear state based upon the frictional work done by the tire. A tire wear estimate, pursuant to the system and methodology, is made by determining the amount of frictional work performed by the tire through the integrated use of tire-mounted, GPS sourced, and vehicle-mounted sensor information.

Abstract: A tire wear state estimation system includes a vehicle-based sensor for measuring wheel speed of a tire-supporting and first and second features extracted from the wheel speed signal. A data classifier conducts a classification of the first extraction feature data relative to the second extraction feature data by a statistical analysis of the wheel speed signal to estimate the wear state of the tire.

Abstract: A tire state estimation method is provided for estimating normal force, lateral force and longitudinal forces based on CAN-bus accessible sensor inputs, including deploying a normal force estimator generating the normal force estimation from a summation of longitudinal load transfer, lateral load transfer and static normal force using as inputs lateral acceleration, longitudinal acceleration and roll angle derived from the input sensor data; deploying a lateral force estimator estimating lateral force using as inputs measured lateral acceleration, longitudinal acceleration and yaw rate; and deploying a longitudinal force estimator estimating the longitudinal force using as inputs wheel angular speed and drive/brake torque derived from the input sensor data.

Abstract: A tire state estimation system is provided for estimating normal force, lateral force and longitudinal forces based on CAN-bus accessible sensor inputs; the normal force estimator generating the normal force estimation from a summation of longitudinal load transfer, lateral load transfer and static normal force using as inputs lateral acceleration, longitudinal acceleration and roll angle derived from the input sensor data; the lateral force estimator estimating lateral force using as inputs measured lateral acceleration, longitudinal acceleration and yaw rate; and the longitudinal force estimator estimating the longitudinal force using as inputs wheel angular speed and drive/brake torque derived from the input sensor data.

Abstract: A method for estimating a tire state, such as tire wear state, includes utilizing a vehicle-based sensor for measuring a wheel speed of the tire and generating a wheel speed signal, extracting through statistical analysis a first extracted feature such as slip-ratio rate from the wheel speed signal, extracting through statistical analysis a second extracted feature such as median slip-ratio from the wheel speed signal, classifying data from the first extracted feature and data from the second extracted feature using a support vector data classification algorithm and applying the algorithm to estimate the tire state.

Abstract: A vehicle state estimation system and method uses an observer model to make cornering stiffness estimates from tire-based sensor data and vehicle-based sensor data throughout transient and non-transient operational maneuvers of a vehicle. A cornering stiffness identifier extracts transient-state cornering stiffness estimates from the cornering stiffness estimates made by the observer model and extracts from the transient-state cornering stiffness estimates an optimal transient-state cornering stiffness estimate having a substantially highest confidence measure for use by a vehicle control system.