Racing Car Technology Optimisation: Aerodynamic Refinement Through Wind Resistance Control and Downforce Enhancement

DOI

10.2991/978-94-6463-864-6_64How to use a DOI?

Keywords

Aerodynamic Optimisation; Downforce Optimisation; Cfd Simulation; Wind Tunnel Experiment; Ground Effect

Abstract

The ultimate pursuit of modern racing car performance relies on the optimisation of aerodynamics, the core of which lies in balancing the contradictory demands of reducing wind resistance and increasing downforce. Excessive resistance limits acceleration and top speed, while insufficient downforce leads to a decrease in grip, affecting handling safety. With the rise of electric racing cars (such as Formula E), aerodynamics still needs to be coordinated and optimised with battery cooling and energy recovery systems. Traditional wind tunnels and trial-and-error methods can no longer meet the demands. CFD simulation, AI-driven optimization, and hybrid methods have become key technologies, significantly enhancing the efficiency and accuracy of R&D. This article systematically explores the fundamental principles of car aerodynamics (such as Bernoulli’s law, turbulence and wake effects), the role of key components (front wing, tail wing, diffuser), and optimization methods (wind tunnels, CFD, AI models). The case studies include the DRS variable rear wing, the ERS energy recovery system, and the mass production vehicle design of the Xiaomi SU7 Ultra, demonstrating the integration of theory and practice. In the future, the synergy between computing innovation and track performance will further promote the development of aerodynamics.

Copyright

© 2025 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - Hongyi Luo
PY  - 2025
DA  - 2025/10/23
TI  - Racing Car Technology Optimisation: Aerodynamic Refinement Through Wind Resistance Control and Downforce Enhancement
BT  - Proceedings of the 2025 2nd International Conference on Electrical Engineering and Intelligent Control (EEIC 2025)
PB  - Atlantis Press
SP  - 754
EP  - 764
SN  - 2352-5401
UR  - https://doi.org/10.2991/978-94-6463-864-6_64
DO  - 10.2991/978-94-6463-864-6_64
ID  - Luo2025
ER  -