MobilNachhaltigS: TC Plattling MoMoZeitschriftenartikel
E. dos Santos Sardinha, Michael Sternad, H. Wilkening, H. Martin, G. Wittstock
Nascent SEI-Surface Films on Single Crystalline Silicon Investigated by Scanning Electrochemical Microscopy
ACS Applied Energy Materials, vol. 2, no. 2, pp. 1388-1392
2019
DOI: 10.1021/acsaem.8b01967
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Silicon is a promising high-capacity host material for negative electrodes in lithium-ion batteries with low potential for the lithiation/delithiation reaction that is outside the stability window of organic carbonate electrolytes. Thus, the use of such electrodes critically depends on the formation of a protective solid electrolyte interphase (SEI) from the decomposition products of electrolyte components. Due to the large volume change upon charging, exposure of the electrode material to the electrolyte must be expected, and facile reformation of SEI is a scope for improving the stabilities of such electrodes. Here, we report the formation of incipient SEI layers on monocrystalline silicon by in situ imaging of their passivating properties using scanning electrochemical microscopy after potentiodynamic charging to different final potentials. The images show a local initiation of the SEI growth at potentials of around 1.0 V vs Li/Li+ in 1 M LiClO4 in propylene carbonate.
MobilF: Angewandte InformatikBeitrag (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]
2019
ISBN: 978-1-7281-0449-2
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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.
MobilF: Europan Campus Rottal-InnZeitschriftenartikel
Katerina Volchek, A. Liu, H. Song, D. Buhalis
Forecasting tourist arrivals at attractions: Search engine empowered methodologies
Tourism Economics, vol. 25, no. 3, pp. 425-447
2019
DOI: 10.1177/1354816618811558
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Tourist decision to visit attractions is a complex process influenced by multiple factors of individual context. This study investigates how the accuracy of tourism demand forecasting can be improved at the micro level. The number of visits to five London museums is forecast and the predictive powers of Naïve I, seasonal Naïve, seasonal autoregressive moving average, seasonal autoregressive moving average with explanatory variables, SARMAX-mixed frequency data sampling and artificial neural network models are compared. The empirical findings extend understanding of different types of data and forecasting algorithms to the level of specific attractions. Introducing the Google Trends index on pure time-series models enhances the forecasts of the volume of arrivals to attractions. However, none of the applied models outperforms the others in all situations. Different models’ forecasting accuracy varies for short- and long-term demand predictions. The application of higher frequency search query data allows for the generation of weekly predictions, which are essential for attraction- and destination-level planning.
MobilF: Europan Campus Rottal-InnZeitschriftenartikel
Katerina Volchek, R. Law, D. Buhalis, H. Song
The Good, the bad, and the ugly: Tourist perceptions on interactions with personalised content
e-Review of Tourism Research, vol. 16, no. 2-3, pp. 62-67
2019
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Personalisation is a critical factor in superior customer experience and retention. It is also observed to be acause ofuserfrustration. This paper challenges the assumption that accurate content personalisation always positively affects tourist perceptions on the usefulness and ease of use of the information systems. The study integrates the logic of technology acceptance and the process of human motivation to explain personalised recommender system acceptance. In-depthsemi-structuredinterviews with tourists, industry practitioners, and academic experts were used in research. The findings illustrate that the characteristics of personalised content have double and, sometimes, ambivalent influence on tourist perceptions on system performance. A comprehensive strategy is required to optimise the potential of personalisation. This study expands the understanding of tourist interactions with personalised content and calls for further exploration of the effects of information system components on user experience.
MobilNachhaltigF: Angewandte InformatikS: TC FreyungBeitrag (Sammelband oder Tagungsband)
Jane Wuth, Wolfgang Dorner
Modell zur Übertragbarkeit der Ergebnisse aus der Feldstudie auf größere Regionen
Berücksichtigung aktueller technischer und organisatorischer Rahmenbedingungen beim Einsatz autonomer Shuttlebusse
Autonome Shuttlebusse im ÖPNV, Berlin, Heidelberg
2019
ISBN: 978-3-662-59405-6
Abstract anzeigen
Heutzutage sind automatisierte Shuttlebusse noch eher selten im öffentlichen Straßenverkehr zu finden. Feldstudien sind daher unumgänglich, um eine Analyse der existierenden Möglichkeiten und nötigen technischen Maßnahmen zur Integration dieser Fahrzeuge in den öffentlichen Personennahverkehr (ÖPNV) zu erproben. Da es sowohl technisch als auch rechtlich noch Einschränkungen der Nutzung automatisierter Fahrzeuge gibt, stellt sich die Frage, ob potenzielle Routen, die diesen Rahmenbedingungen gerecht werden, automatisiert ermittelt werden können. Allerdings ist die Erstellung eines Modells zur Identifikation von Strecken für automatisierte Fahrzeuge unter den gegebenen rechtlichen Randbedingungen noch nicht näher betrachtet worden. Die hier verwendeten Parameter sind auf Grundlage der Ergebnisse einer Studie in Bad Birnbach, Bayern entstanden. Im Vergleichsraum Bayern wurden ca. 100 Strecken identifiziert, auf welchen man einen automatisierten Shuttlebus im derzeitigen technisch-rechtlichen Rahmen weiter testen könnte. Die sich stetig weiterentwickelnde Technologie und die teils unvollständige Attribuierung der verwendeten Daten (offizielle Verkehrsdaten ATKIS, OpenStreetMap aus dem Jahr 2018) erfordern eine Überprüfung der Ergebnisse vor Ort sowie eine laufende Fortschreibung des Modells.
DigitalMobilF: Angewandte InformatikS: TC FreyungBeitrag (Sammelband oder Tagungsband)
M. K. Vichrová, P. Hájek, M. Kepka, Laura Fiegler, Wolfgang Dorner, Mariann Juha
Peregrinus Silva Bohemica. A Digital Travel Guide for Navigation Assistance
Proceedings of the 2019 9th International Conference on Advanced Computer Information Technologies (ACIT) [June 5-7, 2019; České Budějovice, Czech Republic]
2019
DOI: 10.1109/ACITT.2019.8779883
Abstract anzeigen
How can historical cultural assets be made accessible and experienced with the help of digital media? Scientists in the Bavarian-Bohemian border region are dealing with this question in the context of the Peregrinus Silva Bohemica project. Historic sites and buildings are made available for all devices. Interesting facts about the monuments are digitally reworked, interpreted and made clear, for example with the help of specially constructed 3D representations or augmented reality (AR).
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