This study focuses on vehicle simulation-based charging planning for battery electric bus (BEB) fleets. As urban transportation shifts towards sustainable energy solutions, the adoption of BEBs is increasing. The driving range of BEBs cannot guarantee that they can complete the specified tasks without charging for a complete day. Effective charging strategies are crucial to maximize vehicle utilization and minimize energy costs. This Master’s Thesis introduces a four-step charging plan optimization model that integrates traffic conditions, driving cycles, SOC of battery, time-of-use tariffs and passenger numbers considerations. MATLAB-SUMO co-simulation was used to create unique driving cycles for each bus line at predefined times, capturing dynamic driver behavior, accounting for traffic flows and traffic lights.