吉林大学学报(工学版) ›› 2014, Vol. 44 ›› Issue (6): 1578-1582.doi: 10.13229/j.cnki.jdxbgxb201406007

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Aerodynamic optimization method for car body based on process costing genetic algorithm

WEI Gan, YANG Zhi-gang, LI Qi-liang   

  1. Shanghai Automotive Wind Tunnel Center, Tongji University, Shanghai 201804,China
  • Received:2013-09-17 Online:2014-11-01 Published:2014-11-01

Abstract: In this paper, the process of aerodynamic optimization for car body is divided into three steps. The first step is the two-dimensional body optimization aiming at global search; the second and third steps are three-dimensional body optimization without wheels and with wheels, respectively, aiming at local approximation and fine-tuning. Finally the corresponding evolution strategies of each step are developed according to the difference between the two- and three-dimensional cases. As the existence of wheels may change the aerodynamic behavior of the car body, so wheels in fixed position is taken as one of the constraint conditions, which may improve the effect of the optimization. Optimization results show that the drag coefficients of the vehicle with wheels are as low as 0.129 in cheese head style and 0.124 in socket head style. The dependability of this method is validated by the scaled model test in wind tunnel.

Key words: fluid mechanics, genetic algorithm, aerodynamic optimization, low drag body, wind tunnel test

CLC Number: 

  • U467.1
[1] Gardner B A, Selig M S. Airfoil design using a genetic algorithm and an inverse method[C]∥AIAA Paper, 2003-0043.
[2] Doorly D J, Peiro J. Supervised parallel genetic algorithms in aerodynamic optimisation[C]∥Artificial Neural Nets and Genetic Algorithms, Vienna, 1998: 229-233.
[3] Skea A F, Bullen P R, Qiao J, et al. CFD simulations and experimental measurements of the flow over a rotating wheel in a wheel arch[J]. SAE Technical Paper, 2001-01-0487.
[4] Elofsson P, Bannister M. Drag reduction mechanisms due to moving ground and wheel rotation in passenger cars[J]. SAE Technical Paper, 2002-01-0531.
[5] 何忆斌,谷正气 ,李伟平,等. 汽车理想气动形体数字化模型构建及气动性能试验[J]. 航空动力学报,2011, 25(6): 1031-1035. He Yi-bin, Gu Zheng-qi, Li Wei-ping, et al. Design of aerodynamic optimization shape digital model for car and it' s wind tunnel test[J]. Journal of Aerospace Power, 2011, 25(6): 1031-1035.
[6] Buchheim R, Deutenbach K R, Lückoff H J. Necessity and premises for reducing the aerodynamic drag of future passenger cars[C]∥SAE Paper, 810185, 1981.
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