Abstract
Accurate parameters are necessary to accomplish precise driving control of vehicle. Identification of vehicle parameters is important to get accurate parameters because vehicle control is affected by the vehicle parameters. An identification method is proposed using Dual Kalman filter algorithm and GPS sensor for the simultaneous estimation of vehicle parameters, i.e. yaw moment of inertia and cornering stiffness. Performance of the proposed identification method is evaluated through examination. Possibility of the proposed identification method is confirmed by examining the estimated results.
