关键词: 悬架硬点；灵敏度分析；定位参数；响应面法；NCGA；多目标优化

Abstract: In order to effectively and quickly select parameters of suspension hard points coordinate for improving vehicle handling stability, in this paper, response surface method and neighborhood cultivation genetic algorithm (NCGA) are adopted to optimize and design for a certain suspension system. Firstly, the dynamics simulation model of a certain mini-van Macpherson suspension system is established, and the sensitivity of suspension hard points coordinates is analyzed to find out the greater sensitivity of coordinate parameters; Then an approximate mathematical model based on response surface method, which expressed the relationship between the wheel alignment parameters and the selected coordinate parameters is established, and the corresponding precision verification is carried out, and the wheel alignment parameters are reasonably grouped and a unified objective function is established by direct weighing method; At last, the established objective function is optimized and designed combined with NCGA algorithm. The results show that after optimization the variation of each alignment parameters is discordantly finished and the vehicle handling stability when driving is further improved, verifying that the method has proper effectiveness.

Key words: Suspension hard points; Sensitivity analysis; Alignment parameters; Response surface method; NCGA; Multi-objective optimization