Representative On-Road Aerodynamic Yaw Angle Distribution in China for Vehicle Development

Xiao, Ling; Wang, Qingyang; Zhu, Xijia; Bu, Han; Huang, Tao; Yuan, Xiayi; Gan, Lian; Sims-Williams, David B.

Abstract

Aerodynamic drag for road vehicles is most often assessed based on zero yaw conditions. The rise of electric vehicles in recent years put greater demand on how the vehicles perform in real-world conditions. Specifically, the aerodynamic drag performance at non-zero yaw angles has received increased attention. Various methods to calculate wind-averaged drag have been proposed. However, there have not been any studies done for the yaw distribution in China; this is important, given its diverse geographic and climatic conditions and growing number of vehicles. This study presents a methodology using probes integrated with a production vehicle to collect representative on-road data. A survey of on-road conditions in China is presented including coastal and inland provinces, different road types, and a range of traffic conditions. Using high temporal and special resolution meteorological data, the correlation between yaw angle distribution and natural wind is derived. Further extrapolation is performed to establish a long-term, nationwide yaw distribution.

Citation

Xiao, L., Wang, Q., Zhu, X., Bu, H., Huang, T., Yuan, X., …Sims-Williams, D. B. (2022). Representative On-Road Aerodynamic Yaw Angle Distribution in China for Vehicle Development. SAE International Journal of Passenger Vehicle Systems, 16(2), https://doi.org/10.4271/15-16-02-0008

• Journal Article Type: Article
• Acceptance Date: Oct 17, 2022
• Online Publication Date: Dec 5, 2022
• Publication Date: Dec 5, 2022
• Deposit Date: Feb 28, 2024
• Journal: SAE International Journal of Passenger Vehicle Systems
• Print ISSN: 2770-3460
• Peer Reviewed: Peer Reviewed
• Volume: 16
• Issue: 2
• DOI: https://doi.org/10.4271/15-16-02-0008
• Keywords: Modeling and Simulation; Safety, Risk, Reliability and Quality; Mechanical Engineering; Automotive Engineering
• Public URL: https://durham-repository.worktribe.com/output/1757033