Abstract: A tire wear state estimation system for a tire calculates tire effective radius during measured distance intervals travelled by the tire from vehicle speed and tire rotation counters. The system includes a filter for selecting slow-speed effective radius measuring intervals and an estimator for estimating the tire effective radius during only those intervals in which the vehicle is travelling below a threshold speed.

Abstract: A tire wear state estimation system for a tire calculates tire effective radius during measured distance intervals travelled by the tire from vehicle speed and tire rotation counters. The system includes a filter for selecting slow-speed effective radius measuring intervals and an estimator for estimating the tire effective radius during only those intervals in which the vehicle is travelling below a threshold speed.

Abstract: A tire wear state estimation system includes a tire pressure measuring device affixed to a vehicle tire for measuring tire inflation pressure and generating tire inflation pressure data; tire torsional mode measuring means for measuring tire torsional mode frequency and generating tire torsional mode frequency data; and tire identification means for generating tire-specific torsional mode coefficients using tire-specific identification data. A tire wear estimation is made based upon the tire inflation pressure data, the torsional mode frequency data, and the tire identification derived torsional mode coefficients.

Abstract: A tire wear state estimation system includes a tire pressure measuring device affixed to a vehicle tire for measuring tire inflation pressure and generating tire inflation pressure data; tire torsional mode measuring means for measuring tire torsional mode frequency and generating tire torsional mode frequency data; and tire identification means for generating tire-specific torsional mode coefficients using tire-specific identification data. A tire wear estimation is made based upon the tire inflation pressure data, the torsional mode frequency data, and the tire identification derived torsional mode coefficients.

Abstract: A system for predicting vibration or acoustic responses of a vehicle to a predetermined excitation of a candidate tire of the vehicle includes a first accelerometer for measuring tire responses at a test rig to the predetermined excitation of a reference tire mounted on the rig, a second accelerometer, microphone, or other vibration or acoustic sensor for measuring vibration and acoustic responses at a location on the vehicle to the predetermined excitation of the reference tire mounted on the vehicle, and a computer for calculating transfer functions as a ratio of the vibration or acoustic responses from the second accelerometer, microphone, or other vibration or acoustic sensor divided by the tire responses from the first accelerometer. The computer predicts candidate tire responses, similar to the tire responses of the first accelerometer, of the reference tire mounted on the test rig.

Abstract: The invention relates generally to vehicle ride evaluation and, more particularly, to a method of information sensing and transformation to assist a vehicle operator to make an informed evaluation for vehicular ride quality and a composite comprised of said vehicle and portable device secured to said vehicle for said information sensing and transformation.

Abstract: Method to identify and remove machine contributions from tire uniformity measurements made on a tire uniformity machine by synchronizing and averaging together multiple measurements of tire uniformity made on a single test tire that is re-mounted between measurements in a randomly determined orientation relative to a rim reference mark on the rim of the tire uniformity machine. A cross-correlation function is calculated for each measurement relative to the first measurement, and an angular shift is determined from each cross-correlation function. The angular shifts are used to synchronize the measurements so that they can be averaged together. The resulting average test tire uniformity data has both machine contribution and random measurement noise minimized. An average machine contribution data set is determined by synchronizing and subtracting the average test tire uniformity data from each test tire uniformity measurement data set, then averaging together the resulting data sets.

Abstract: Method to identify and remove machine contributions from tire uniformity measurements made on a tire uniformity machine by synchronizing and averaging together multiple measurements of tire uniformity made on a single test tire that is re-mounted between measurements in a randomly determined orientation relative to a rim reference mark on the rim of the tire uniformity machine. A cross-correlation function is calculated for each measurement relative to the first measurement, and an angular shift is determined from each cross-correlation function. The angular shifts are used to synchronize the measurements so that they can be averaged together. The resulting average test tire uniformity data has both machine contribution and random measurement noise minimized. An average machine contribution data set is determined by synchronizing and subtracting the average test tire uniformity data from each test tire uniformity measurement data set, then averaging together the resulting data sets.

Abstract: Method to identify and remove machine contributions from tire uniformity measurements made on a tire uniformity machine by averaging one or more measurements of tire uniformity from a single test tire to calculate an average machine contribution signal, and then subtracting the average machine contribution signal from a tire uniformity measurement signal for a production tire to provide a corrected tire uniformity measurement for the production tire.