Autor: Tobias Sprodowski

The increasing market share of electric vehicles and the deployment of renewable energies gives rise to new challenges regarding both the energy network infrastructure as well as mobility. The solution of the arising problems allows for synergies among these fields. The batteries of electric vehicles can be used as distributed energy storage systems to retain the stability of the energy network. To ensure the availability of the latter in the network, the vehicles must stay connected for a certain time intervals. As the batteries may also be unloaded, this leads to a paradigm change in contrast to the available concepts. In a first step, existing charging stations could be used for this purpose. To access the battery as a storage continuously, inductive load systems could be installed in the streets. Here, deployment of the latter on motorways would simultaneously eliminate the problem of range of electric vehicles. A necessary requirement for such a combined traffic and energy system ...

The introduction of autonomous cars in street traffic creates the desire for self-organization of these cars regarding security, economic and ecologic aspects. To this regard, optimization based distributed control algorithms provide a solution approach for communicating autonomous cars. In this work we discuss a hierarchical model predictive control concept. On the operational level, individual goals of the drivers and security aspects are considered. Utilizing a planning layer, we show how overall goals like traffic flow maximization can be implemented. To this end, if a traffic event is triggered, a route for each individual car is computed centrally based on the current traffic conditions. The structure of the control also allows integrating cars, which are not actively taking part in the communication, via sensor fusion techniques.