In order to enhance the ride comfort, stability, and safety of heavy trucks. Based on the dynamic characteristics of the parameters of heavy trucks and its dynamic model, a multi-objective genetic algorithm are developed in the MATLAB environment and applied to optimize the dynamic parameters of vehicles. The weighted root-mean-square (RMS) accelerations of the cab and driver seat vibrations are chosen as the study goals to evaluate the results under different vehicle conditions. The obtained results show that the optimal parameters of vehicles are significantly enhanced the vehicle ride comfort under different operation conditions. Particularly, the weighted RMS accelerations of the awz and awφc are significantly reduced by 26.3 % and 35.3 % under the ISO level B of the road surface, and a vehicle speed region from 17.5 m/s to 20 m/s (63 km/h to 72 km/h).


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    Titel :

    Vibration research of heavy trucks. Part 2: Optimization of vehicle dynamic parameters


    Beteiligte:
    Yong Ye (Autor:in) / Vanliem Nguyen (Autor:in) / Yongzhu Hu (Autor:in)


    Erscheinungsdatum :

    2020




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Unbekannt




    Vibration research of heavy trucks. Part 2: Optimization of vehicle dynamic parameters

    Yong Ye / Vanliem Nguyen / Yongzhu Hu | DOAJ | 2020

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