Determining the magic tire model parameters using self-organizing map method and assessment the road condition on the parameters

As the forces and moments for controlling the vehicle are generated between the tire and road, Therefore the tire model is very important in the vehicle dynamic. The Pacejka’s Magic Formula (MF) has become the most popular model. This model for describing the tire properties needs a set of parameters. In this paper the identifying of tire model coefficients discussed. Self-organizing maps (SOMs) was used for determining the parameters on the different road condition form high dry surface to low wet surface. The tests were taken with a vehicle that was used to conduct the real test at different road conditions. It was designed by Malaga mechanical research group. The effect of surface condition on the parameter of model discussed. A good Slip-Force ratio with the data that was not used in the network training was produced by the neural network so this method is feasible and easily obtain the parameter of each experiment on different experimental tests.