Abstract

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).

Highlights

  • The heavy vehicles are required to enhance the ride comfort and required the improvement of the road friendliness

  • For heavy trucks are supported by various suspensions of the vehicle, cab, and seat; it can be more efficient if the optimization of their dynamic parameters and control of a vehicle or cab suspension system

  • The aim of this study is the optimization of the vehicle dynamic parameters to improve vehicle ride comfort

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Summary

Introduction

The heavy vehicles are required to enhance the ride comfort and required the improvement of the road friendliness. The published studies is shown that the semi-active suspension systems can improve the vehicle’s ride better than its optimized suspension parameters [1, 12, 13]. For heavy trucks, the vehicle is often used by with three suspension systems with the different damping and stiffness parameters for the vehicle, cab, and driver’s seat. Previous studies were only concerned with controlling the vehicle suspension system [5, 7, 12] or the suspension system of the cab and seat [11, 14] to improve the ride comfort. For heavy trucks are supported by various suspensions of the vehicle, cab, and seat; it can be more efficient if the optimization of their dynamic parameters and control of a vehicle or cab suspension system. Multi-objective optimization of the parameters of heavy truck suspension systems is a complex problem, and it has not yet fully paid attention [12, 13]

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