Black box identification of vehicle lateral dynamics using an automotive simulator

Abstract

This article proposes a black box identification of vehicle lateral dynamics using the automotive simulation software VI-CarRealTime (VI-CRT). The model uses standard steering angle maneuvers commonly employed on test tracks, including Fishhook, Step Steer, Double Lane Change, Sweep Steer, and Sine, with Dwell as input data. Models were developed for two key variables in lateral dynamics analysis: the side-slip angle and yaw rate. The reference model used for correlation was derived from a parameterized VI-CRT automotive simulator based on post-processed experimental measurements from a real vehicle provided by the manufacturer Stellantis. The results demonstrated a significant correlation between linear models represented as transfer functions and the reference from the VI-CRT simulator.