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Automotive Aerodynamic Characteristics Optimization Based on Response Surface Model
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Yinlong Zha1, Yang Zhang2, Xuelong Liu2, Hai Liu1, Gang Wang1
Automobile Technology | 2023, (9) : 55 - 62
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Automobile Technology | 2023, (9): 55-62
Automotive Aerodynamic Characteristics Optimization Based on Response Surface Model
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Yinlong Zha1, Yang Zhang2, Xuelong Liu2, Hai Liu1, Gang Wang1
Affiliations
  • 1 Hebei University of Technology, Tianjin 300401
  • 2 CATARC (Tianjin) Automotive Engineering Research Institute Co., Ltd., Tianjin 300300
Published: 2023-09-24 doi: 10.19620/j.cnki.1000-3703.20220436
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In order to improve vehicle aerodynamic coefficients comprehensively, this paper proposed a shape optimization design scheme. Firstly, vehicle without crosswind was simulated numerically by using realizable k-ε turbulence model. The reliability of the simulation model was verified by wind tunnel tests. On this basis, the influence of different crosswind angles on the aerodynamic characteristics was studied, the aerodynamic coefficients of yaw angle of 12° were taken as the reference benchmark for optimization, samples were extracted by uniform Latin hypercube for flow field calculation, the response surface model was used to approximate the corresponding relationship between automobile modeling parameters and aerodynamic coefficients, the Pareto front solutions were obtained based on the genetic optimization algorithm. Finally, 4 optimization schemes were determined, which reduced the drag coefficient by 2.6%, the lateral force coefficient by 6.54%, and the lift coefficient tends to be negative, effectively improving the aerodynamic characteristics of the vehicle.

Aerodynamic characteristic  /  Wind tunnel test  /  Response surface model  /  Genetic algorithm
Yinlong Zha, Yang Zhang, Xuelong Liu, Hai Liu, Gang Wang. Automotive Aerodynamic Characteristics Optimization Based on Response Surface Model[J]. Automobile Technology, 2023 , (9) : 55 -62 . DOI: 10.19620/j.cnki.1000-3703.20220436
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Article Info
doi: 10.19620/j.cnki.1000-3703.20220436
  • Online Date：2025-12-07
  • Published：2023-09-24
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  • Revised：2022-06-26
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    1 Hebei University of Technology, Tianjin 300401
    2 CATARC (Tianjin) Automotive Engineering Research Institute Co., Ltd., Tianjin 300300
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表12种不同金属材料的力学参数
科
Family		 属数
Number of
genus		 种数
Number of
species		 占总种数比例
Percentage of
total species (%)		 属
Genus		 种数
Number of
species		 占总种数比例
Percentage of total
species (%)
鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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