Fogging and icing of windshields are general problems that affect driving safety and energy consumption. The aim of this study is to improve the truck windshield defogging system and reduce energy consumption. Firstly, we investigated the effects of vent position and width relative to the glass. In the first stage, we performed analysis on the truck xz plane (2D). We preferred this method to quickly see the effect of vent changes. In the second stage, we applied the modification parameters to the 3D duct model. In both studies, we determined that the independent variables had a statistically significant effect on the dependent variable and determined the parameters with the highest desirability value by using the Analysis of Variance method. Secondly, we added various separators to the duct model. We investigated the total mass flow rate coming to the driver's side with total pressure drop. In this thesis, we used the Eulerian Wall Film (EWF) Model to model the defogging phenomenon on windshields. In the EWF model, the wall film is treated as a separate fluid phase, and the conservation equations for mass, momentum, and energy are solved separately for each fluid phase. As a result, we applied the obtained data to the current design. Windshield defogging performance has improved in the optimization model. The average film thickness in region A decreased by 8.2% compared to the current model, while the average film thickness in region B decreased by 48.1%.