Journal of Engineering, Project, and Production Management, 2026, 16(5), 2025-229
Optimization of Automotive Aerodynamic Appearance Design Using an Improved EGO Algorithm
1 Professor,
School of Art and Design, Anhui Business and Technology College, Hefei,
230041, China,
E-mail: zhao.zh1982@outlook.com (corresponding author).
2 Associate Professor, School of
Art and Design, Anhui Business and Technology College, Hefei, 230041,
China
Project Management
Received October 14, 2025; revised December 29, 2025; accepted January 29, 2026
Available online June 17, 2026
Abstract: Traditional automotive aerodynamic exterior design relies on a large number of physical model tests, which are not only time-consuming and costly but also easily limited by experimental conditions and measurement accuracy. This research aims to improve the aerodynamic performance of automobiles by developing an efficient global optimization algorithm. The Kriging model is added to optimize the prediction performance, and the quasi Newton algorithm is integrated to seek the optimal appearance parameters that meet the requirements. Finally, the algorithm’s performance is verified through both virtual and actual operations. The research outcomes reveal that the new algorithm has a fast convergence speed, and the drag coefficient stabilizes at 0.364~0.357 when the number of iterations reaches 400. The optimized car’s drag coefficient decreases by an average of 36.89%. The new algorithm has high prediction accuracy, with a maximum prediction error of 2.1%. The new algorithm reduces resistance at the front of the vehicle by 1.65% and resistance at the sunroof by 44.56%. The fuel consumption per 100 kilometers of the car optimized by the new algorithm at 60 km/h is 8.96 L, which is 6.69% lower than that of the traditional efficient global optimization algorithm. From this, it can be seen that optimizing the aerodynamic appearance of automobiles through improved, efficient global optimization algorithms can significantly reduce the difficulty of vehicle exterior design, lower the vehicle’s resistance in all directions, and provide a new method for reducing automobile energy consumption.
Keywords: Aerodynamic optimization, efficient global optimization, kriging surrogate model, vehicle design, drag reduction.
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Citation: Zhao, Z. and Qiu, Z. (2026). Optimization of Automotive Aerodynamic Appearance Design Using an Improved EGO Algorithm. Journal of Engineering, Project, and Production Management, 16(5), 2025-229.
