Advanced control and driving assistance systems play a major role in modern vehicles, ensuring higher standards of safety and performance. Their correct operation extensively depends on the knowledge of tyre forces and vehicle drift. However, these quantities are hard to measure directly, due to cost or technological reasons. One possible alternative that is attracting much attention in the last few years is represented by virtual sensing where the quantities of interest can be inferred using a physical model that maps the relationship between these quantities and other available direct measurements, like accelerations, velocities and rate-of-turns. In this research, model-based observation is adopted to predict tyre forces and slip angles. In contrast to existing systems, ours relies on direct causality equations without the need of any explicit tyre model. Different observers are developed that are grounded, respectively, in the Cubature Kalman and Particle filtering, and they are contrasted against the standard Extended Kalman filter (EKF). Results are presented to quantitatively assess the performance of the observers using a 14 Degrees Of Freedom (DOFs) full vehicle model that has been simulated in standard manoeuvres including constant radius cornering, increasing and swept-sine steering, and sine-dwell manoeuvring. Although all three embodiments allow model nonlinearities and measurement noise to be appropriately tackled, the two Kalman filters outperform the PF in terms of estimation accuracy, especially for tyre force prediction. In addition, the novel Cubature Kalman filter shows comparable accuracy and robustness, but higher stability when compared to the EKF.
Model-based observers for vehicle dynamics and tyre force prediction
Vehicle System Dynamics ; 60 , 8 ; 2845-2870
2022-08-03
26 pages
Aufsatz (Zeitschrift)
Elektronische Ressource
Englisch
Observers for vehicle tyre/road forces estimation: experimental validation
Online Contents | 2010
|Observers for vehicle tyre/road forces estimation: experimental validation
Taylor & Francis Verlag | 2010
|Observers for vehicle tyre/road forces estimation: experimental validation
Kraftfahrwesen | 2010
|Observers for vehicle tyre/road forces estimation: Experimental validation
Tema Archiv | 2010
|Cascaded observers to improve lateral vehicle state and tyre parameter estimates
Kraftfahrwesen | 2007
|