Recently, energy efficiency and sustainable energy management have gained significant importance in the logistics sector. Consequently, the use of electric vehicles has been increasing day by day due to their operation with clean and renewable energy sources and their low carbon emissions. With the widespread adoption of electric vehicles, research on determining the appropriate energy consumption model has also increased. In this study, an energy consumption model for electric vehicles is used. This study analyzes the effect of velocity on energy consumption within the model. The analyses are conducted by transferring a real-life environment into the Simulation of Urban Mobility (SUMO) environment. This study offers a valuable contribution to the creation of energy consumption data on the graph, which is necessary for electric vehicle routing studies aimed at minimizing energy consumption. Additionally, it emphasizes the importance of accurate energy consumption predictions and efficient electric vehicle operations from the perspective of electric vehicle routing.