This thesis investigates the aerodynamics of the Tesla Cybertruck, with a focus on enhancing its overall efficiency. Objectives include a detailed analysis of airflow patterns and drag forces, employing advanced computational fluid dynamics (CFD) techniques. The study addresses existing gaps through a literature review, drawing insights from analogous geometries and drag reduction studies on pickup trucks.

Methodologically, precision mesh generation techniques such as double precision, local sizing, and curvature meshing are applied. The simulation setup is rigorously validated through sensitivity studies and comparisons with Numeric Systems GmbH, establishing the reliability of the methodology. Tasks encompass the examination of separation bubbles, sharp edges, wake dynamics, and vortex shedding patterns, contributing to a comprehensive understanding of Cybertruck aerodynamics.

The conclusion highlights key findings derived from the analysis. The identification of a separation bubble at the front of the hood and the impact of sharp edges on airflow dynamics provide valuable insights. The study reaffirms its credibility through comparisons with Numeric Systems GmbH, showcasing the robustness of the simulation methodology. The results contribute not only to academic knowledge but also hold practical implications for optimizing the Cybertruck's performance. The applicability of these findings extends to the broader discourse on electric vehicle design, offering insights for practical design strategies to enhance performance and efficiency.