Enhancing Aerodynamic Efficiency of the Tesla Cybertruck: A CFD-Based Investigation on Flow Behavior and Design Optimization

Abstract

This study employs Computational Fluid Dynamics (CFD) simulations to analyze the aerodynamic performance of the Tesla Cybertruck, focusing on pressure distribution, drag coefficient (Cd), and flow behavior around the vehicle. Utilizing various turbulence models, the research simulates steady-state conditions to examine phenomena such as wake formation and flow separation specific to the Cybertruck's unique sharp-edged body design. The findings reveal a drag coefficient of approximately 0.32, slightly higher than the manufacturer's claim, indicating significant potential for aerodynamic optimization. Design modifications, including incorporating curved underbody diffusers, demonstrate improvements in aerodynamic efficiency, resulting in a potential drag reduction of around 12% and an increase in downforce by 25%. This research highlights the importance of CFD in optimizing the aerodynamic characteristics of unconventional electric vehicle designs and provides a pathway for future enhancements in energy efficiency for electric vehicles.