In this paper a method has been shown to evaluate lateral and combined dynamics handling of a vehicle on arbitrary tracks using open and closed loop manoeuvres. Vehicle models have been identified on measured data and have been used to interpolate and extrapolate the vehicles handling behaviour. The benefits of this process are: A significant reduction of tests and the option to obtain the data during subjective evaluations, hereby reducing costs for vehicle evaluation. An increased robustness of the results through the interpolation of the measurements by the model, thus eliminating freedom for the interpretation of the results. An increased insight into the understanding of the influence of components on the vehicles handling properties, which helps understanding whether front or rear axle, cornering stiffness or time delay has to be modified in order to arrive at desired characteristics hereby arriving at a higher level of quality of the results. Prerequisites for the application of the method are that the driving style is adapted for the measurement, in order to cover all necessary states; and that the frequency response manoeuvre is carried out in a prescribed way. Lap time calculations using closed loop controllers on complex vehicle models often lack robustness, since the results depend strongly on the interaction between controller and vehicle. Here the identified model can serve as an alternative since it can be extended for usage in robust steady state lap time simulations. In vehicle dynamics controllers the model provides potential benefits, since it can predict the vehicles change in balance due to longitudinal acceleration, hereby improving the controller's open loop contribution. The techniques described in this paper can also potentially be used to do an online identification of the controller parameters, making the controller more robust with respect to vehicle parameter changes.
Identification of vehicle models for a robust objective evaluation of vehicle dynamics up to the lateral and longitudinal limit of adhesion
2009
18 Seiten, 12 Bilder, 4 Quellen
Aufsatz (Konferenz)
Englisch
Robust estimation of road friction coefficient using lateral and longitudinal vehicle dynamics
Kraftfahrwesen | 2012
|Robust estimation of road friction coefficient using lateral and longitudinal vehicle dynamics
Online Contents | 2012
|Robust estimation of road friction coefficient using lateral and longitudinal vehicle dynamics
Taylor & Francis Verlag | 2012
|