Micromobility vehicles such as e-bicycles, e-scooters, or e-mopeds are increasingly popular in urban areas. These vehicles are small, lightweight, and energy efficient and have great potential to be a perfect piece of the puzzle for sustainable mobility, especially for short trips in crowded cities. However, a crucial challenge is still the simulation of the vehicles’ SOC levels, especially within hilly and steep terrains as this topography has a significant impact on the vehicle’s battery. Knowing the SOC levels helps to plan battery swapping, charging, and reallocation operations of the vehicles. Thus, the focus of this paper is the determination of the SOC levels of a micromobility vehicle fleet based on a traffic simulation. We use an experimental feature of the microscopic traffic simulation environment SUMO to simulate micromobility trips in 3D. To appropriately model the influence of altitude differences on SOC levels, we also consider topological map information. The simulation is performed in the hilly terrain of Stuttgart, Germany and is validated with data from a local micromobility fleet provider. The presented improvements can further be utilized to assist in the development and optimization of micromobility fleet relocation strategies and charging point positioning algorithms.