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Performance Optimization of Vehicle Handling and Stability Using Multiple Surrogate Models

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Indexed by : Article

Document Code : 000402374600005

First Author : 史天泽

Correspondence Author : Shuming Chen

Author : ,

Date of Publication : 2016-11-01

Journal : JOURNAL OF TESTING AND EVALUATION

Included Journals : SCI  

Affiliation of Author(s) : Jilin Univ

Place of Publication : PA 19428-2959 USA

Discipline : 工学

Funded by : State Key Laboratory of Automotive Lightweight;Jilin Provincial Natural Science Foundation ;National

Document Type : J

Volume : 44

Issue : 6

ISSN : 0090-3973

Key Words : vehicle handling; design optimization; multiple surrogate models

Teaching and Research Group : State Key Lab Automot Simulat & Control

Abstract : Handling and stability are key performances characteristics of vehicles. A vehicle with good handling performance can be controlled precisely by drivers and help avoid accidents. In this paper, the handling and stability optimization was conducted based on a multi-body dynamic vehicle model. Considering the large computational assumption numerical model calculation, surrogate modeling techniques were introduced in this study. The non-dominated sorting genetic algorithm version II (NSGA-II) method was applied in the optimization of each surrogate model. A comparison study on three different sur

First-Level Discipline : 机械工程

Translation or Not : no

Pre One : Interior High Frequency Noise Analysis of Heavy Vehicle Cab and Multi-Objective Optimization with Statistical Energy Analysis Method

Next One : Multi-objective optimization of the vehicle ride comfort based on Kriging approximate model and NSGA-II