Skip to main content
Fachgebiete
Automobil + Motoren Bauwesen + Immobilien Business IT + Informatik Elektrotechnik + Elektronik Energie + Nachhaltigkeit Finance + Banking Management + Führung Marketing + Vertrieb Maschinenbau + Werkstoffe Versicherung + Risiko
DE
EN
Bücher
Zeitschriften
Themenseiten
Organisationspsychologie Projektmanagement Marketing Smart Manufacturing
Weitere Formate
Podcasts Webinare Technik Webinare Wirtschaft Kongresse Veranstaltungskalender Awards
Jetzt Einzelzugang starten
Zugang für Unternehmen
Referenzkunden
SLX-Digitalkonferenz: Zukunftswerkstatt 2024

Mehr Umsatz mit Top-Kontakten

Am 7. Mai erfahren Sie, wie Vertriebsteams Leadgenerierung, Leadnurturing und Leadstrategien effizient steuern können.
Erweiterte Suche
Anmelden
nach oben
International Journal of Intelligent Transportation Systems Research
Erschienen in: International Journal of Intelligent Transportation Systems Research 3/2017

22.07.2016

Estimation of Required EVs Battery Capacity for Leveling Demand Energy Considering Parking Durations

verfasst von: Tomoya Imanishi, Hiroaki Nishi

Erschienen in: International Journal of Intelligent Transportation Systems Research | Ausgabe 3/2017

Einloggen

Aktivieren Sie unsere intelligente Suche, um passende Fachinhalte oder Patente zu finden.

search-config
loading …

Abstract

Vehicle-to-grid (V2G) is a key technology that is receiving significant attention as a method for achieving an efficient energy management system (EMS) by connecting electric vehicles (EVs) to an electric power grid. In this study, a fuzzy control method and an optimization control method were proposed as effective control methods for reducing the installation battery capacity and the electric charge in one day by leveling the electric load. As the result, the required battery capacity was 429 kWh for IEVBS model, and 480 kWh for MEVBS model using optimization control method. The control method could save at most $17.98 of an electric bill and achieve power leveling.
Vorheriger Artikel On Software-based Remote Vehicle Monitoring for Detection and Mapping of Slippery Road Sections
Nächster Artikel Safe and Environment-Friendly Forward Collision Warning Messages in the Advance Warning Area of a Construction Zone

Sie haben noch keine Lizenz? Dann Informieren Sie sich jetzt über unsere Produkte:

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

  • über 102.000 Bücher
  • über 537 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Maschinenbau + Werkstoffe
  • Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

Jetzt informieren

ATZelectronics worldwide

ATZlectronics worldwide is up-to-speed on new trends and developments in automotive electronics on a scientific level with a high depth of information. 

Order your 30-days-trial for free and without any commitment.

Jetzt informieren

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 390 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Maschinenbau + Werkstoffe




 

Jetzt Wissensvorsprung sichern!

Jetzt informieren
Weitere Produktempfehlungen anzeigen
Literatur
1.
Kawashima D., Ihara M., Shen T., Nishi H.: “Real-Time Simulation of Cooperative Demand Control Method with Batteries,”. In IECON 2012-38th Annual Conference on IEEE Industrial Electronics Society. 3588–3593
2.
Kempton W., Letendre S.: Electric Vehicles as a New Power Source for ElectSikai Huang and David Infield. “The Potential of Domestic Electric Vehicles to Contribute to Power System Operation through Vehicle to Grid Technology” In Proceedings of the 44th International Universities Power Engineering Conference (UPEC), pp. 1–5, 2009.ric Utilities. Transpn. Res.-D. 2(3), 157–175 (1997)CrossRef
3.
Huang S., Infield D.: “The Potential of Domestic Electric Vehicles to Contribute to Power System Operation through Vehicle to Grid Technology”. In Proceedings of the 44th International Universities Power Engineering Conference (UPEC). 1–5 (2009)
4.
P. Kadurek, C. Ioakimidis, and P. Ferrao, “Electric Vehicles and their Impact to the Electric Grid in Isolated Systems,” In Proceedings of IEEE POWERENG, 2009.
5.
Han S., Han S.: “Development of short-term reliability criterion for frequency regulation under high penetration of wind power with vehicle-to-grid support. Electr. Power Syst. Res. 107, 258–267 (2014)ElsevierCrossRef
6.
Ansari M., Al-Awami A.T., Abido M.A., Sortomme E.: “Optimal charging strategies for unidirectional vehicle-to-grid using fuzzy uncertainties,”. T&D Conference and Exposition. 1–5 (2014)
7.
J. R. Pillai and Bak-Jensen, “Integration of Vehicle-to-Grid in the Western Danish Power System,” IEEE Transactions on Sustainable Energy, Vol. 2, pp. 12–19, 2011.
8.
Singh M., Kumar P., Kar I.: “Implementation of Vehicle to Grid Infrastructure Using Fuzzy Logic Controller,”. IEEE Transactions on Smart Grid. 3, 565–577 (2012)CrossRef
9.
Krampe D., Wiestschel M.: “Vehicle-to-Grid Regulation Reserves Based on Dynamic Simulation of Mobility Behavior,”. IEEE Transactions on Smart Grid. 2, 302–313 (2011)CrossRef
10.
Hartmann N., Özdemir E.D.: Impact of Different Utilization Scenarios of Electric Vehicles on the German Grid in 2030. J. Power Sources. 196(Issue 4), 2311–2318 (2011)CrossRef
11.
M. Ihara, T. Shen, and H. Nishi, “A Simulation Study of Electric Power Leveling Using V2G Infrastructure,” In IECON 2011-37th, Annual Conference on IEEE Industrial Electronics Society, pp. 3224–3229.
12.
13.
] M. Kamachi, H. Miyamoto, and Y. Sano “Development of power management system for electric vehicle “i-MiEV”." In IPEC 2010, International Power Electronics Conference, IEEE, pp. 2949–2955.
14.
A. Wang, W. Yang, “Design of Energy Management Strategy in Hybrid Vehicles by Evolutionary Fuzzy System Part I: Fuzzy Logic Controller Development” The Sixth World Congress on Intelligent Control and Automation, 2006. WCICA 2006, pp. 8324 - 8328
15.
Metadaten
Titel
Estimation of Required EVs Battery Capacity for Leveling Demand Energy Considering Parking Durations
verfasst von
Tomoya Imanishi
Hiroaki Nishi
Publikationsdatum
22.07.2016
Verlag
Springer US
Erschienen in
International Journal of Intelligent Transportation Systems Research / Ausgabe 3/2017
Print ISSN: 1348-8503
Elektronische ISSN: 1868-8659
DOI
https://doi.org/10.1007/s13177-016-0129-8

Weitere Artikel der Ausgabe 3/2017

International Journal of Intelligent Transportation Systems Research 3/2017 Zur Ausgabe

OriginalPaper

Estimation of Scaling Factors for Traffic Counts Based on Stationary and Mobile Sources of Data

OriginalPaper

Analysis of Accident Risks from Driving Behaviors

OriginalPaper

On Software-based Remote Vehicle Monitoring for Detection and Mapping of Slippery Road Sections

OriginalPaper

Extension of Cellular Automata for Dynamic Vehicle Tracking

OriginalPaper

Safe and Environment-Friendly Forward Collision Warning Messages in the Advance Warning Area of a Construction Zone

Premium Partner

    Marktübersichten

    Die im Laufe eines Jahres in der „adhäsion“ veröffentlichten Marktübersichten helfen Anwendern verschiedenster Branchen, sich einen gezielten Überblick über Lieferantenangebote zu verschaffen. 

    Zur Marktübersicht
    Bildnachweise