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Aerodynamic optimization of mixed platoon Ahmed body vehicles based on response surface method

Jianbin Luo (School of Mechanical and Automotive Engineering, Guangxi University of Science and Technology, Liuzhou, China)
Yuanhao Tie (School of Mechanical and Automotive Engineering, Guangxi University of Science and Technology, Liuzhou, China)
Ke Mi (School of Mechanical and Automotive Engineering, Guangxi University of Science and Technology, Liuzhou, China)
Yajuan Pan (School of Mechanical Engineering, Liuzhou Institute of Technology, Liuzhou, China)
Lifei Tang (Liuzhou Wuling New Energy Automobile Co., Ltd., Liuzhou, China)
Yuan Li (Liuzhou Wuling New Energy Automobile Co., Ltd., Liuzhou, China)
Hongxiang Xu (School of Mechanical and Automotive Engineering, Guangxi University of Science and Technology, Liuzhou, China)
Zhonghang Liu (School of Mechanical and Automotive Engineering, Guangxi University of Science and Technology, Liuzhou, China)
Mingsen Li (School of Mechanical and Automotive Engineering, Guangxi University of Science and Technology, Liuzhou, China)
Chunmei Jiang (School of Mechanical and Automotive Engineering, Guangxi University of Science and Technology, Liuzhou, China)

International Journal of Numerical Methods for Heat & Fluid Flow

ISSN: 0961-5539

Article publication date: 9 November 2023

Issue publication date: 2 January 2024

139

Abstract

Purpose

The purpose of this paper is to investigate the optimal average drag coefficient of the Ahmed body for mixed platoon driving under crosswind and no crosswind conditions using the response surface optimization method. This study has extraordinary implications for the planning of future intelligent transportation.

Design/methodology/approach

First, the single vehicle and vehicle platoon models are validated. Second, the configuration with the lowest average drag coefficient under the two conditions is obtained by response surface optimization. At the same time, the aerodynamic characteristics of the mixed platoon driving under different conditions are also analyzed.

Findings

The configuration with the lowest average drag coefficient under no crosswind conditions is 0.3 L for longitudinal spacing and 0.8 W for lateral spacing, with an average drag coefficient of 0.1931. The configuration with the lowest average drag coefficient under crosswind conditions is 10° for yaw angle, 0.25 L for longitudinal spacing, and 0.8 W for lateral spacing, with an average drag coefficient of 0.2251. Compared to the single vehicle, the average drag coefficients for the two conditions are reduced by 25.1% and 41.3%, respectively.

Originality/value

This paper investigates the lowest average drag coefficient for mixed platoon driving under no crosswind and crosswind conditions using a response surface optimization method. The computational fluid dynamics (CFD) results of single vehicle and vehicle platoon are compared and verified with the experimental results to ensure the reliability of this study. The research results provide theoretical reference and guidance for the planning of intelligent transportation.

Keywords

Acknowledgements

This work is funded by the National Nature Science Foundation of China under the research grant of No. 22262005. This research is also funded by the Guangxi University of Science and Technology Doctoral Fund under the research grant of 13Z10.

Since submission of this article, the following author has updated their affiliations: Yuan Li is at the Liuzhou Wuling Automobile Industry Co., Ltd, Liuzhou, China. Chunmei Jiang is at the Institute of the New Energy and Energy-saving & Emission-reduction, Guangxi University of Science and Technology, Liuzhou, China.

Citation

Luo, J., Tie, Y., Mi, K., Pan, Y., Tang, L., Li, Y., Xu, H., Liu, Z., Li, M. and Jiang, C. (2024), "Aerodynamic optimization of mixed platoon Ahmed body vehicles based on response surface method", International Journal of Numerical Methods for Heat & Fluid Flow, Vol. 34 No. 1, pp. 309-333. https://doi.org/10.1108/HFF-04-2023-0214

Publisher

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Emerald Publishing Limited

Copyright © 2023, Emerald Publishing Limited

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