This paper introduces emobpy, an open-source Python-based tool that generates battery-electric vehicle (BEV) profiles based on empirical mobility statistics and customizable assumptions. The tool creates time series data for BEV mobility, driving electricity consumption, grid availability, and grid electricity demand, which are crucial inputs for various energy models. The authors illustrate its application by generating 200 vehicle profiles for Germany, revealing a median grid availability of 5-7 GW for a million-vehicle fleet due to significant parking time. Different charging strategies demonstrate the smoothing effect on grid electricity demand.

Carlos Gaete-Morales, Hendrik Kramer, Wolf-Peter Schill, Alexander Zerrahn