Suche nach „[Bodenschatz] [Nicki]“ hat 7 Publikationen gefunden
Suchergebnis als PDF
    DigitalMobilAngewandte InformatikTC Plattling MoMo

    Beitrag (Sammelband oder Tagungsband)

    Nicki Bodenschatz, Markus Eider, Andreas Berl

    Mixed-Integer-Linear-Programming model for the charging scheduling of electric vehicle fleets

    [Accepted for publication]

    Proceedings of the 2020 10th International Conference on Advanced Computer Information Technologies (ACIT) [September 6-8, 2020; Deggendorf]


    MobilAngewandte Informatik

    Beitrag (Sammelband oder Tagungsband)

    Nicki Bodenschatz, Andreas Berl

    Viability and Optimality of Electric Vehicle Fleet Schedules

    2019 9th International Conference on Advanced Computer Information Technologies (ACIT'2019) [Ceske Budejovice, Czech Republic, June 5-7, 2019]


    ISBN: 978-1-7281-0449-2

    Abstract anzeigen

    The number of electric vehicles is steadily growing and commercial fleet owners follow this trend. However, the charging of fleets has a major impact on the already stressed power grid. To prevent negative impact on the grid, it is necessary to schedule charging processes. This charging scheduling should not only utilize the existing charging infrastructure and the available resources, but it should furthermore allow an optimized charging schedule, e.g. in terms of cost reduction. This scheduling problem is complex and it needs significant information about infrastructure and fleet in order to create a viable charging schedule. However, not all of the relevant information is always available. For this reason, this paper analysis the possibilities to create a charging schedule with missing information. To achieve this, the paper provides a detailed description of the charging scheduling problem for a day ahead planning and the necessary input parameters. It clarifies the influence of the input parameters on the viability and optimality of a charging schedule. On this base, the paper establishes data sets with different degrees of scheduling possibilities. Further, the paper analyses the affectation of missing input parameters on the scheduling and it provides possible solutions to approximate the missing parameters under the proposition to guarantee the viability of a charging schedule.

    MobilElektrotechnik und MedientechnikTC Freyung


    Nicki Bodenschatz

    Electric Vehicle Fleet Charging

    Vortrag und Posterpräsentation

    6. Tag der Forschung, Deggendorf


    MobilElektrotechnik und Medientechnik


    Diana Schramm, Nicki Bodenschatz, Andreas Berl

    Usage Profiling in Electric Vehicles

    Bavarian Journal of Applied Sciences, vol. 4, no. 1, pp. 342-353


    DOI: 10.25929/bjas.v4i1.52

    Abstract anzeigen

    In the overall effort of reducing CO2 emissions, the significance of alternative drive engines is growing. The transition from combustion engine vehicles to electric vehicles is high on the political agendas, with governments providing extensive funding to promote electric mobility. However, there are still challenges that hamper the dissemination of electric vehicles. One of those challenges is the limited range and the resulting range anxiety. Displayed vehicle range data contribute to this, as they are relatively inaccurate and might vary quite strongly during individual trips. This problem could be addressed by personalizing the range display according to the driving style of the current driver. Driver assistance services, like distance control, are becoming increasingly personalized nowadays, however, they are predominantly designed for internal combustion engine vehicles. In this paper, relevant input parameters for classifying the driving styles of electric vehicle users are identified. Furthermore, a system based on real-life driving data is developed to determine the driving style. Real-life driving data were collected in experiments and used to profile the driving style by means of fuzzy logic. Based on the results, an approach for a realistic classification of driving styles of electric vehicle users is discussed.

    MobilTC Freyung


    Nicki Bodenschatz, Markus Eider, Diana Schramm, Andreas Berl

    Optimierte Ladeplanung von Elektrofahrzeugflotten


    5. Tag der Forschung, Deggendorf


    MobilTC Freyung

    Beitrag (Sammelband oder Tagungsband)

    Nicki Bodenschatz, Diana Schramm, Markus Eider, Andreas Berl

    Classification of Electric Vehicle Fleets Considering the Complexity of Fleet Charging Schedules

    [Status: Presented]

    ACM e-Energy '18: Proceedings of the Ninth ACM International Conference on Future Energy Systems (June 12-15, 2018; Karlsruhe, Germany), New York, NY


    ISBN: 978-1-4503-5767-8

    DigitalTC Freyung

    Beitrag (Sammelband oder Tagungsband)

    Markus Eider, Diana Schramm, Nicki Bodenschatz, Andreas Berl, P. Danner, H. Meer

    A Novel Approach on Battery Health Monitoring

    Proceedings of the 7th Conference on Future Automotive Technology (CoFAT) [May 8th-9th, 2018; Fürstenfeldbruck]