Experimental data from heavy truck measurements establish parameter values in a multi-body model. Two vehicle configurations and several test cases are investigated, five reruns demonstrate repeatability. Measured and simulated signals are compared in the time domain. Identity in the time domain makes evaluated (filtered, averaged, PSD) signals identical, but the inverse is not necessarily true. Comparisons in the time domain are sensitive to phase shifts. The influence of corresponding test velocity variations is minimized using single obstacle experiments as parameter identification input. Numerical procedures find parameter values minimizing simulation-experiment discrepancy, model performance is evaluated by comparison with experimental variation.


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    Title :

    Parameter identification in heavy vehicle simulation


    Contributors:
    Forsen, A. (author)


    Publication date :

    2000


    Size :

    12 Seiten, 13 Quellen



    Type of media :

    Conference paper


    Type of material :

    Print


    Language :

    English




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