The rising number of electrically powered vehicles (EV) challenges the distribution grid. Analyses revealed that the uncoordinated, simultaneous charging of vehicle batteries results in heavy load, especially in the afternoon and evening hours. This load leads to further increase of the already existing load peaks and thus to an even greater strain on the distribution grid. There are high costs resulting from the necessary expansion of network infrastructure. These effects can be counteracted by a system for coordinated vehicle charging which was developed as part of this thesis. This coordinating system receives information about the current network situation and the status of the vehicles. In addition, it enables the vehicle owner to express his driving and charging preferences via various interfaces. These interfaces are implemented by smart phones or as web page. Based on the information provided by customers, network operators, and energy suppliers, an optimized schedule for EV-charging is created. The charging process of the vehicle is thereby planned and coordinated in order to keep the power quality high despite the increasing burden to the grid. In addition to that, the system is able to react on unforeseen events like sudden strong decentralized generation from alternative energy sources. The results of the use of the developed system is the integration of user requirements in the planning process with the help of the developed interfaces, as well as coordination of vehicle charging to avoid overloads and voltage deviations in the power grid. Due to the coordination of charging, the necessary charging power can be shifted from peak load times to times of lower grid load. It is possible to react to the rapidly fluctuating, decentralized generation of alternative energy sources and thus to use them more efficiently.
Because of the exemplary system operation, practical insights for future use of charging systems can be obtained. Due to the controllability of the charging process, it is possible to respond to the rapidly fluctuating generation of distributed alternative energy sources, such as wind energy and photovoltaic systems. Therefore, these sustainable energy sources can be used more efficiently which prepares the path for their future integration into the smart grid.