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An optimization tool is presented which allows to compute an ideal driving line on a given race track. The ideal line is determined from a number of possible lines by an iterative selection procedure. The lines are varied in each iteration step by applying a combination of several optimization techniques. The simulated lap time for each line is used as a criterion for the quality of the results in each iteration step. The dependence of the simulated ideal line on several physical and vehicle parameters is also investigated. It can be shown that different types of cars respectively sets of parameters require significantly different trajectories to follow.

The extended steady state lap time simulation combines a quasi steady state approach with a transient vehicle model. The transient states are treated as distance dependent parameters during the calculation of the optimal lap by the quasi steady state method. The quasi steady state result is used afterwards to calculate a new dynamic behavior, which induces in turn a different quasi steady state solution. This iteration between the two parts is repeated until the dynamic states have settled. An implementation of the extended quasi steady state simulation is built up to determine the capabilities of the approach. In addition to pure steady state simulation abilities, the method is able to judge the influence of the transient or time variant vehicle states on lap time. Sensitivity studies are generated to analyze the influence of basic parameters like mass, but also the influence of parameters with transient interaction like vertical damping or tire temperature.