State Estimation Method for Electric Vehicle Semi-Active Suspensions Considering Time-Varying Parameters and Non-Gaussian Noise
An Adaptive-Parameter Maximum Correntropy Kalman Filter (APMCKF) algorithm is proposed to address state estimation degradation in semi-active suspensions caused by non-linear coupling between time-varying physical parameters and non-Gaussian noise. First, a time-varying dynamic model with non-linear damping is establis...