Model-based parameter identification of a virtual vehicle model – time‑effective step-up for steering performance development

In the current paper a model-based approach for vehicle parameter identification will be proposed. In order to increase the quality of the simulated vehicle behaviour (responses like lateral acceleration, yaw rate and especially the steering rack force) the best fitting combination of the vehicle mass inertias, the metacentric height as well as some selected tire parameters (like cornering stiffness, pneumatic trail, etc. [4, 9, 10]) needs to be identified.