Bridgestone Americas Tire Operations, LLC

Ke Jun Xie

John L Turner

David O Stalnaker

Erik F Knuth

Paul M Neugebauer

A method includes obtaining simulated tire data for a simulated tire, simulated vehicle data for a simulated vehicle, and simulated test course data. The simulated tire data includes data to build a basic tire model. The simulated vehicle data includes data to build a basic vehicle model. The simulated test course data includes position-based course data in a horizontal plane and position-based course data in a vertical direction. The method further includes generating a tire load history from the basic tire model, the basic vehicle model, and the simulated test course data.

Method of generating tire load histories and testing tires

A method for reducing vehicle bias when testing a tire for use with a market segment of vehicles by creating a vehicle model that is scalable by vehicle weight. A market segment of vehicles is defined, at least one of a vehicle model parameter is defined, data is collected for the at least one vehicle model parameter from at least one vehicle in the market segment, the at least one vehicle model parameter is characterized through regression analysis as a function of total weight of a scalable vehicle model, the scalable vehicle model parameter is applied to a multibody vehicle dynamics simulation, at least one maneuver is applied to the scalable vehicle model, and the tire load histories generated by the multibody vehicle dynamics simulation are provided to a tire test machine to obtain tire wear data representative of the vehicles in the market segment.

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Copley, OH, United States of America

Ke Jun Xie