The integration of electric vehicles (EVs) into urban transportation systems presents significant challenges and opportunities for cities aiming to optimize energy usage and reduce emissions. This paper presents a simulation architecture to optimize EV charging in Dresden's Ostra District as part of the Mobilities for EU project. The proposed architecture leverages the Simulation of Urban Mobility (SUMO) to model traffic patterns and vehicle movements, while a custom energy management system facilitates smart and bidirectional charging capabilities. By incorporating the Amitran methodology to evaluate CO2 emissions, the architecture aims to provide insights into the sustainability impacts of various charging strategies. The simulation environment allows for the exploration of”what-if” scenarios, enabling city planners and fleet managers to assess the implications of different charging strategies on energy consumption and grid stability. Collaboration with the city of Dresden will be essential for validating the simulation with real data, enhancing model accuracy and supporting informed decision-making. Ultimately, this research aims to contribute to the growing body of knowledge on sustainable urban mobility and provide a valuable tool for optimizing EV integration in smart cities. Future work will focus on expanding the simulation framework to include additional variables such as renewable energy sources and user behavior patterns, further enhancing its applicability in real-world scenarios.