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The vehicle handling dynamics stands in the central place of the automotive developing processes. The accurately parameterized vehicle handling models play an important and useful role at different vehicle developing phases. At the early phase of vehicle development, they can be used to set the desired target by comparing the handling characteristics of competitors' vehicles. For the further developments of active systems, the right parameterized models are the basis to design the control systems in a virtual simulative environment. Therefore, there are the strong needs to develop a systematic methodology to parametrize the vehicle handling models, whose qualities should also be assured by the validation of field tests. The kinematics and compliance (KnC) behavior of the suspension is in the focus of this study. Compared with parameterization methods of other chassis subsystems, sensitivity analyses of suspension KnC testing conditions were very few in literatures published.

This paper describes a new hybrid algorithm for multibody dynamics in vehicle system dynamics which combines the advantages of both embedding technique algorithm and augmented formulation algorithm. An approach to vehicle dynamics modeling based on the hybrid algorithm is presented. Embedding technique algorithm has relatively small number of equations of motion. With help of this technique, an enhanced parametric vehicle dynamics model can be built, representing characteristic curves of suspension comprised in kinematic and compliance. Small number of equations enables the vehicle dynamics model to be simulated very efficiently. In comparison to embedding technique algorithm, the main benefit of augmented formulation algorithm is relatively simple for computer programming. With help of augmented formulation algorithm, the structure of the vehicle dynamic model can be easily extended.