In this chapter, the nonlinear virtual prototype model of a heavy vehicle (DFL1250A9) is set up, and an orthogonal optimization program for the virtual heavy vehicle model is presented to analyze the effect of vehicle parameters on riding comfort and road friendliness according to the design of experiment (DOE) method. Through a reasonable choice for the best objects, factors, level and experiment combination, a best matching program of experiment factors could be obtained and the goal of riding comfort and road friendliness could be accomplished. Finally, two kinds of adjustable damper control system are established within MATLAB/Simulink environment. The ADAMS/Matlab cosimulation of the full vehicle system is completed to show that the MR (Magneto-rheological) damper under semiactive “on–off” control can minimize seat vertical acceleration, suspension deflection, and dynamic tire force compared with a passive suspension. The semiactive suspension can improve vehicle dynamical performance, weaken vehicle body vibration, and increase riding comfort.


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    Titel :

    Dynamic Analysis of a Heavy Vehicle Using Function Virtual Prototype


    Beteiligte:
    Yang, Shaopu (Autor:in) / Chen, Liqun (Autor:in) / Li, Shaohua (Autor:in)

    Erschienen in:

    Erscheinungsdatum :

    2015-04-30


    Format / Umfang :

    26 pages




    Medientyp :

    Aufsatz/Kapitel (Buch)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




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