An Adaptive Metamodel-Based Optimization Approach for Vehicle Suspension System Design

Qinwen Yang,Hamid Reza Karimi,Gang Wang,Jin Huang

doi:10.1155/2014/965157

Qinwen Yang, Hamid Reza Karimi + Show 2 more

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https://doi.org/10.1155/2014/965157

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Abstract

The performance index of a suspension system is a function of the maximum and minimum values over the parameter interval. Thus metamodel-based techniques can be used for designing suspension system hardpoints locations. In this study, an adaptive metamodel-based optimization approach is used to find the proper locations of the hardpoints, with the objectives considering the kinematic performance of the suspension. The adaptive optimization method helps to find the optimum locations of the hardpoints efficiently as it may be unachievable through manually adjusting. For each iteration in the process of adaptive optimization, prediction uncertainty is considered and the multiobjective optimization method is applied to optimize all the performance indexes simultaneously. It is shown that the proposed optimization method is effective while being applied in the kinematic performance optimization of a McPherson suspension system.

Highlights

The suspension K&C characteristics have directly effects on vehicle handling and riding performances and gain much effort and are of great importance in vehicle development
The design purpose of this study is to determine the locations of the hardpoints according to the system kinematic performances, without considering the elastic deformations of the rigid components except for compliance elements
The adaptive optimization performs better up to 81.11% for all the four output parameters

Summary

Introduction

The suspension K&C characteristics have directly effects on vehicle handling and riding performances and gain much effort and are of great importance in vehicle development. The performance index of a suspension system is a function of the maximum and minimum values over the parameter interval [6, 7]. It can be very difficult to evaluate the analytical design sensitivity of the hardpoints locations because the deviation is defined by using the maximum and minimum values over the parameter interval. Metamodeling techniques, which were initially developed as “surrogates” of the expensive simulation process for improving the overall computation efficiency and quality [8], are useful in such a field. The authors in [10] studied a mechanical analysis of a suspension optimal design for suspension system based on reliability analyses, taking into consideration tolerances and grafting a reliability analysis that applied the mean-value first order method with tolerance optimization.

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