Abstract
A technique using an exponential least squares fit to analyze the behaviour of measured nonsteady-state rolling resistance data and to compute the equilibrium rolling resistance force is discussed. Raw data are filtered analytically to reduce amplitude fluctuations prior to applying the technique. The method has been applied to rolling resistance tests conducted at the Calspan Tire Research Facility on tires in a free-rolling straight-ahead condition, under constant velocity and load. The use of the prediction technique is demonstrated for 12 passenger car tires that were tested under equilibrium conditions.