Seamless Electromobility
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F17%3A00315695" target="_blank" >RIV/68407700:21230/17:00315695 - isvavai.cz</a>
Result on the web
<a href="https://dl.acm.org/citation.cfm?id=3078461" target="_blank" >https://dl.acm.org/citation.cfm?id=3078461</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1145/3077839.3078461" target="_blank" >10.1145/3077839.3078461</a>
Alternative languages
Result language
angličtina
Original language name
Seamless Electromobility
Original language description
The existing electromobility (EM) is still in its fledgling stage and multiple challenges have to be overcome to make Electric Vehicles (EVs) as convenient as combustion engine vehicles. Users and Electric Vehicle Fleet Operators (EFOs) want their EVs to be charged and ready for use at all times. This straightforward goal, however, is counteracted from various sides: The range of the EV depends on the status and depletion of the EV battery which is influenced by EV use and charging characteristics. Also, most convenient charging from the user's point of view, might unfortunately lead to problems in the power grid. As in the case of a power peak in the evening when EV users return from work and simultaneously plug in their EVs for charging. Last but not least, the mass of EV batteries are an untapped potential to store electricity from intermittent renewable energy sources. In this paper, we propose a novel approach to tackle this multi-layered problem from different perspectives. Using on-board EV data and grid prediction models, we build up an information model as a foundation for a back end service containing EFO and Charging Station Provider (CSP) logic as well as a central Advanced Drivers Assistant System (ADAS). These components connect to both battery management and user interfaces suggesting various routing and driving behaviour alternatives customized and incentivized for the current user profile optimizing above mentioned goals.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
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Continuities
R - Projekt Ramcoveho programu EK
Others
Publication year
2017
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
e-Energy 2017 - Proceedings of the 8th International Conference on Future Energy Systems
ISBN
978-1-4503-5036-5
ISSN
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e-ISSN
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Number of pages
6
Pages from-to
316-321
Publisher name
ACM
Place of publication
New York
Event location
Shatin
Event date
May 16, 2017
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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