Aerodynamic drag reduction in a vehicle based on efficient global optimisation

The Journal of Engineering

Liangsheng Deng¹  Qingyu Wang¹  Chengping Yan¹  Bo Hu¹  Chenguang Lai¹ 

[1] School of Automobile Engineering, Chongqing University of Technology;

关键词: search problems;    data mining;    design engineering;    numerical analysis;    aerodynamics;    drag reduction;    optimisation;    computational fluid dynamics;    vehicle dynamics;    statistical analysis;    vehicle aerodynamic shape optimisation;    computationally expensive black box problem;    global optimisation process;    low efficiency;    four-dimensional aerodynamic drag reduction design;    computational fluid dynamics numerical simulation technology;    data mining technologies;    design variables;    global optimum;    minimum function evaluations;    original vehicle;    global optimisation algorithm;    EGO algorithm;    vehicle drag reduction method;    engine hood inclination;    tail upturn angle;   

DOI  :  10.1049/joe.2018.8954

来源: DOAJ

【 摘 要 】

Vehicle aerodynamic shape optimisation is a typical non-linear and computationally expensive black box problem, which is severely limited by time and cost of the objective function evaluations during the global optimisation process. To solve the shortcomings of low efficiency and high cost of the existing vehicle drag reduction method, an improved efficient global optimisation (EGO) algorithm is used to optimise a four-dimensional aerodynamic drag reduction design of a vehicle combined with computational fluid dynamics numerical simulation technology. Moreover, data mining technologies are used to reveal the influence mechanisms of design variables on aerodynamic drag and to analyse the relationship between the variables. It is demonstrated that the improved EGO algorithm, based on the kriging response surface and expected improvement function, can achieve the global optimum with minimum function evaluations. The aerodynamic drag of the optimal design is 1.56% lower than that of the original vehicle. The data mining results showed that the engine hood inclination and the tail upturn angle play a leading role in the vehicle's aerodynamic drag, and the hood inclination has the greatest impact.

【 授权许可】

Unknown