Abstract
Due to the fact that electric vehicles have not broadly entered the vehicle market there are many attempts to convince producers to integrate technologies that utilise embedded batteries for purposes different from driving. The vehicle-to-grid technology, for instance, literally turns electric vehicles into a mobile battery, enabling new areas of applications (e.g., to provide regulatory energy, to do grid-load balancing, or to buffer surpluses of energy) and business perspectives. Utilising a vehicle’s battery, however is not without a price—in this case: the driver’s mobility. Given this dependency, it is interesting that most available works consider the application of electric vehicles for energy and grid-related problems in isolation, that is, detached from mobility-related issues. The distributed artificial intelligence laboratory, or DAI-Lab, is a third-party funded research lab at Technische Universität Berlin and integrates the chair for agent technologies in business applications and telecommunication. The DAI-Lab has engaged in a large number of both, past and upcoming projects concerned with two aspects of managing electric vehicles, namely: energy and mobility. This article aims to summarise experiences that were collected during the last years and to present developed solutions which consider energy and mobility-related problems jointly.
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Notes
It is important to mention that some of the services that are discussed and used in this paper are not yet available. Today, for instance, it is not possible to ‘book’ charging stations by using public-available services. The ever-increasing advance of technology, however, indicates that such services will be available in the near future. In fact, it is already possible to make reservations for parking lots via internet.
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Several projects, presented in this work, were (and are) partially funded by German federal ministries, under the following funding reference numbers: 03EM0101C, 16SBB011B, 16SBB005C, 16SBB014A, 16SBB018B, 16SBB016E, 16SBB007A, 01IS12049B, 01MG13002A-E, O3F016004D, and 03FO16003A.
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Lützenberger, M., Masuch, N., Küster, T. et al. A common approach to intelligent energy and mobility services in a smart city environment. J Ambient Intell Human Comput 6, 337–350 (2015). https://doi.org/10.1007/s12652-015-0263-1
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DOI: https://doi.org/10.1007/s12652-015-0263-1