An Accurate Simple Model for Vehicle Handling using Reduced-order Model Techniques 2001-01-2520

In this paper, an approach to obtain an accurate yet simple model for vehicle handling is proposed. The approach involves linearizing a full-car MBD model and dividing the large-order system states into two groups depending on their effect on ride quality and handling performance. Then, the singular perturbation method is used to reduce the model size and to compensate for the steady state relationship between the two state groups. Based on simulation using ADAMS, the results show an accurate matching between the reduced model and the original MBD model. The benefits of the approach are illustrated by comparing step responses with the conventional nominal model. Also, the reduced-order model obtained by the proposed approach resulted in improved performances under sliding mode control even with smaller switching gains than what are required for the conventional bicycle model.