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KI-LAN stands for “Artificial Intelligence - network-based charging management when parking under different usage scenarios” and deals with the questions of how it can be possible to satisfactorily cover the charging needs of electric vehicle users and how a charging infrastructure must be equipped so that a network operator is equipped in the event of an accident of bottlenecks that can control local charging management. Two usage scenarios are examined: in the first scenario, the focus is on parking in urban areas during working hours and at events; in the second scenario, parking during working hours in rural areas is taken into account. However, the solutions developed should be transferable to other applications and business models.
Specifically, the project participants, led by the IAT of the University of Stuttgart, are striving to develop know-how for sustainable operation in parking situations with a high number of modular charging points. To do this, they want to develop a forecast-based charging management system and algorithms that intelligently control charging processes. Artificial intelligence should be used to determine which performance is needed where, according to a message from the initiators. "By storing intelligence in the charging process, we manage to expand the charging infrastructure without expanding the power grid," explains project manager Marc Schmidt from IAT.
For the two usage scenarios, parking spaces are provided with charging stations on the Wizemann site in Stuttgart and at Marquardt GmbH in Rietheim-Weilheim. As the head of the consortium, the IAT mainly takes care of the technical conception of the overall system and the development of a central management platform that implements the forecast-based control of the charging infrastructure. This integrates the requirements of the distribution network operator and at the same time takes into account the needs of the users - "This is the only way to really speak of target-oriented AI", adds Dr. Daniel Stetter from the Fraunhofer Institute for Industrial Engineering IAO, which is also involved in the project.
The Baden-Württemberg Ministry for the Environment, Climate and Energy Economics is funding the project, which runs until spring 2021, with a total of around 500,000 euros. In addition to the actors mentioned above, the consortium includes Furtwangen University, Netze BW, Stadtwerke Stuttgart, Stuttgart Netze, BridgingIT, chargeIQ, the City of Stuttgart, the Institute for Sustainable Energy Technology and Mobility at Esslingen University of Applied Sciences and Schwenkrain Grundstücks GmbH and Co. KG .
iao.fraunhofer.de