The validation of vehicle mathematical models is a key part of the virtual acceptance process since it is essential to ensure a precise representation of the reality. The model validation procedure should include validation of stationary but also dynamic tests. However, parameter identification from on-track tests is a challenging task due to the non-controlled excitation and the great variability of the test results. Thus, an alternative solution by means of a vehicle modal analysis is proposed, developing a parameter identification methodology for dynamic vehicle model parameters. This methodology calculates estimated values of the vehicle model parameters that have an influence on the excited vehicle vibration modes. Moreover, a new criterion for taking into account the effect of the measurement uncertainties on the selection process of the vehicle parameters is developed. Finally, experimental results show that not only estimations of the suspension stiffness parameters can be obtained, but damping values and structural frequencies from the vehicle bodies can also be estimated.
A new parameter identification methodology for a modal analysis test of a rail vehicle
Vehicle System Dynamics ; 52 , 9 ; 1139-1152
2014
14 Seiten, 4 Bilder, 5 Tabellen, 14 Quellen
Article (Journal)
English
A new parameter identification methodology for a modal analysis test of a rail vehicle
Automotive engineering | 2014
|A new parameter identification methodology for a modal analysis test of a rail vehicle
Taylor & Francis Verlag | 2014
|A new parameter identification methodology for a modal analysis test of a rail vehicle
Online Contents | 2014
|SAGE Publications | 2016
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