  There is substantial research interest in how future fleets of
battery-electric vehicles will interact with the power sector. To this end,
various types of energy models depend on meaningful input parameters, in
particular time series of vehicle mobility, driving electricity consumption,
grid availability, or grid electricity demand. As the availability of such data
is highly limited, we introduce the open-source tool emobpy. Based on mobility
statistics, physical properties of vehicles, and other customizable
assumptions, it derives time series data that can readily be used in a wide
range of model applications. For an illustration, we create and characterize
200 battery-electric vehicle profiles for Germany. Depending on the hour of the
day, a fleet of one million vehicles has a median grid availability between 5
and 7 gigawatts, as vehicles are parking most of the time. Four exemplary grid
electricity demand time series illustrate the smoothing effect of balanced
charging strategies.
