Scalable vehicle models for indoor tire testing

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 vehic...

Ausführliche Beschreibung

Gespeichert in:

Bibliographische Detailangaben
Hauptverfasser:	Stalnaker David O, Turner John L, Xie Ke Jun, Neugebauer Paul M, Knuth Erik F
Format:	Patent
Sprache:	eng
Schlagworte:	CALCULATING COMPUTING COUNTING DEVICES OR ARRANGEMENTS RELATED TO TYRES ELECTRIC DIGITAL DATA PROCESSING MEASURING MEASURING ANGLES MEASURING AREAS MEASURING IRREGULARITIES OF SURFACES OR CONTOURS MEASURING LENGTH, THICKNESS OR SIMILAR LINEARDIMENSIONS PERFORMING OPERATIONS PHYSICS REPAIRING, OR CONNECTING VALVES TO, INFLATABLE ELASTIC BODIESIN GENERAL TESTING TESTING STATIC OR DYNAMIC BALANCE OF MACHINES ORSTRUCTURES TESTING STRUCTURES OR APPARATUS NOT OTHERWISE PROVIDED FOR TRANSPORTING TYRE CHANGING OR REPAIRING TYRE INFLATION VEHICLE TYRES VEHICLES IN GENERAL
Online-Zugang:	Volltext bestellen
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!

Beschreibung
Zusammenfassung:	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.