Identification of vehicle parameters using modified least square method in ADAMS/Car

The chief purpose of this research is to identify the variable vehicle parameters considering the important role of these data in vehicle active safety systems. Generally, implementing sensors to measure these parameters could raise the cost of the product. Parameters of the reference sedan car we focus on are total mass of the car, yaw moment of inertia and distance between the vehicle centre of mass and its front axle as well as vehicle velocity using least square estimation with variable exponential forgetting factor. The estimator equations are derived based on the bicycle model of vehicle. The performance of designed estimator is evaluated by virtual simulations performed with the aim of the full vehicle model in ADAMS/Car in different maneuvers. The obtained results show the accurate, prompt and appropriate performance of the estimator in parameter estimation.