![]() But in this case only for one turn direction. The tire is tested at a multiple slip ratios and slip angles. OptimumTire will still fit a model to it, but we cannot be confident in the model around the peak for positive slip angles (around slip angle 5°). ![]() In this example, where the slip angle is swept from -10° to 2°, it is difficult to know what the peak characteristics look like. In the case of slip angle, it is easier to create a tire model which is representative of the real tire’s characteristics if we know its behavior for both slip angle directions. ![]() If the data is to be used to fit semi-empirical tire models such as Pacejka/Magic Formula, it is beneficial to have data for as many tire states as possible. The reason for limiting the test conditions like this can be many, for example: time/cost, tire wear, machine limitations or very specific test goals. The data set itself is not really the issue, but it can complicate the process of fitting tire models using OptimumTire.Īn asymmetric tire data set is tire data collected on a tire testing machine (or vehicle) where parameters such as slip angle are not swept symmetrically around zero. ![]() One issue our customers come across every now and then is an asymmetric tire data set.
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