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Investigation on Winter Tire Characteristics on Different Track Surfaces Using a Statistical Approach

Wassertheurer, Bernd; Gauterin, Frank ORCID iD icon

Abstract (englisch):

The availability of reliable tire simulation models is necessary for performing accurate vehicle-handling simulations. Parameterizing of tire models, such as the Magic Formula (MF) tire model, means extensive measurement and complex fitting procedures. In addition, a general problem is that parameterized MF models are not simply adaptable to other track surfaces (e.g., dry, wet, or snowy tracks), which is a problem, especially for winter tire modeling. To face this drawback, a research project in cooperation between BMW and the Karlsruhe Institute of Technology, Institute of Vehicle System Technology, has been initiated.

The institute's internal drum test bench provides the opportunity to perform measurements on different track surfaces and various operating conditions. To identify main effects on tire performance and tire characteristics, comprehensive measurements on snow, ice, wet asphalt, and dry Safety-Walk surfaces have been carried out using three different winter tires.

Experimental designs have been worked out using the method of design of experiments (DoE) to reduce the number of measurements and to decrease measuring expenditure, especially on snow track surfaces. ... mehr


Zugehörige Institution(en) am KIT Institut für Fahrzeugsystemtechnik (FAST)
Publikationstyp Vortrag
Publikationsjahr 2014
Sprache Englisch
Identifikator KITopen-ID: 1000046216
Veranstaltung 33rd Annual Meeting & Conference on Tire Science and Technology; 8.-10. September 2014; Akron (Ohio), USA
Externe Relationen Abstract/Volltext
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