Modeling, identification and validation of an electric vehicle for model-based control design

It is common practise to develop the control algorithms for active safety and advanced driver assistance systems on the basis of available vehicle dynamic models. Therefore the model accuracy of representing the vehicle dynamic characteristics is of considerable importance. This work presents a methodology for parameter identification of a car model and its subsequent validation both in time and frequency domain. The identification activity is carried out on an 8 dof car model that is particularly suited for predicting the vehicle roll behavior. The subsequent validation step is illustrated for the roll dynamics only, thus enabling the final model to be used for the design of active roll motion control systems.