Recursive vehicle mass identification based on Unscented Transformation
Ablamvi Ameyoe, Gaël P. Atheupe, Xavier Mouton · 2024
This study investigates a real time identification of a ground vehicle mass based on Unscented Kalman Filter (UKF). The observer is developed to estimate the mass of a vehicle in real-time, which is a critical parameter for controlling the vehicle's dynamics. The proposed approach employs a model-based method and incorporates measurements related to vehicle dynamics to estimate the vehicle mass recursively.