Battery-electric trucks are locally CO2-free and all major manufacturers have announced series production models for the coming years. However, the transport profiles in long-distance operation with heavy trucks pose special challenges with regard to charging systems, energy supply and locations in order to be able to charge battery-electric trucks sufficiently quickly within the statutory break times of 45 minutes between two trips. In the present project, two high-performance charging points with the so-called Megawatt Charging Systems (MCS) will be set up, operated and used in real logistics operations at each of four locations. In a first step, two CCS charging points for trucks will be planned and built at each of the four locations along the A2 between Berlin and the Ruhr region, making maximum use of the specification limits. Two locations directly at the motorway will be used, as well as two locations in logistics hubs. These locations will be used for the early integration of electric trucks into logistics processes and as a test case for the novel fast charging of electric trucks as well as the collection of real usage experiences. At the end of the project, eight CCS charging points and eight MCS charging points will be available at four locations to support the real-life testing of this new system and form the basis for a nationwide expansion of this technology. The construction and operation of vehicles and infrastructure is accompanied by extensive research activities. The goal here is also to provide the blueprint for nationwide expansion.
ie³ in this context does research on generic modeling and simulation of such kind of charging sites and their effects on local distribution grid structures in early project phases. Therefore, means for automatic layouting of grid coupling points based on Open Data are developed at the same time as a Data Driven model to capture the timely behavior of such a charging site with local specificities.
Fraunhofer-Gesellschaft zur Förderung der angewandten Forschung e.V. | Bauhaus-Universität Weimar | Technische Universität Berlin | Daimler Trucks AG | Scania AB | Volvo Group Trucks Central Europe GmbH | MAN Truck & Bus SE | EnBW mobility+ AG | P3 automotive GmbH | Heliox | ABB AG | Siemens AG