Application of Multi-Objective Optimization Methods to Geometric Design of Suspension

Journal of South China University of Technology (Natural Science Edition) ›› 2009, Vol. 37 ›› Issue (7): 85-89.

• Automotive Engineering • Previous Articles Next Articles

Application of Multi-Objective Optimization Methods to Geometric Design of Suspension

Yang Rong-shan¹ Huang Xiang-dong² Yuan Zhong-rong³ Zhao Ke-gang¹

1. School of Mechanical and Automotive Engineering, South China University of Technology, GSuangzhou 510640, Cuangdong, China; 2. Automobile Engineering Institute, Guangzhou Automobile Group Co., Ltd., Guangzhou 510640, Guangdong, China; 3. Guangzhou Automobile Group Co. , Ltd. , Guangzhou 510045, Guangdong, China

Received:2008-05-12 Revised:2008-12-15 Online:2009-07-25 Published:2009-07-25
Contact: 杨荣山（1979-），男，博士生，主要从事车辆设计方法与系统动力学、CAD／CAE等的研究 E-mail:yrongshan@126．com
About author:杨荣山（1979-），男，博士生，主要从事车辆设计方法与系统动力学、CAD／CAE等的研究．
Supported by:
高等学校博士学科点专项科研基金资助项目（20070561020）

Abstract

Abstract:

Based on the theory of multi-body system dynamics, the front McPherson suspension of a car is modeled with the dynamics software of mechanical systems, and the structure of the suspension is optimized with genetic algorithm in a multi-objective/multi-parameter optimization environment, which results in an optimal layout of the suspension hardpoints under the engineering constraint conditions for improving the suspension performance. Test results of the optimized suspension on a test rig show that the optimization is correct, and that the proposed muhiobjective/multi-parameter optimization method is effective in improving the suspension performance of a vehicle.

Key words: vehicle suspension, multi-objective optimization, genetic algorithm, geometric design

Yang Rong-shan Huang Xiang-dong Yuan Zhong-rong Zhao Ke-gang. Application of Multi-Objective Optimization Methods to Geometric Design of Suspension[J]. Journal of South China University of Technology (Natural Science Edition), 2009, 37(7): 85-89.

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Application of Multi-Objective Optimization Methods to Geometric Design of Suspension

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