Fast Determination of Vehicle Suspension Parameters via Continuous Time System Identification
Sprache des Vortragstitels:
Englisch
Original Kurzfassung:
Having accurate estimates for the parameter values of different vehicle components is crucial when it comes to the level of
virtual testing of vehicle dynamics. Since these values are often not directly available, they need to be obtained from measurements. The most straightforward, but also
most expensive way to obtain unknown values is by disassembling the car and by performing tests on the separate vehicle components. A solution that is often much cheaper
is to infer estimates of the parameter values from measurements obtained by performing different driving maneuvers with the car. In this paper we show how methods from
direct continuous time system identification (CT SysId) can be used to obtain accurate estimates for parameter values of the vehicle suspension system. The dynamic tests
consist in exciting the suspension system by driving over one or several small obstacles and by recording the dynamic response of the car. CT SysId is used to adapt the
unknown parameter values of a tentative car model in order to best match the measured data. Evaluation of the approach using a multibody simulation tool showed that the
identified parameter values match well with the ones of the simulated vehicle suspension system.