Skip to main content
SpringerLink
Log in

A Generic Model for Coordinating the Individual Energy Demand of Electric Vehicles: Optimizing the Coordination Problem Between Electric Vehicles and Charging Points with the Implementation of a Genetic Algorithm

  • Chapter
  • First Online:
Digital Marketplaces Unleashed

  • 6208 Accesses

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 69.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 89.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 119.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Similar content being viewed by others

References

  1. Bundesregierung, “Regierungsprogramm Elektromobilität,” 01 05 2011. [Online]. Available: https://www.bmbf.de/files/programm_elektromobilitaet.pdf. [Accessed 11 01 2016].

    Google Scholar 

  2. Clean Energy Ministerial, “Global EV Outlook,” OECD/IEA, OECD/IEA, Paris, France, 2013.

    Google Scholar 

  3. Daimler AG, “Premiere: Apple “CarPlay” in der neuen C-Klasse: Mercedes-Benz bleibt Trendsetter bei Smartphone-Integration,” Stuttgart, Germany, 2014.

    Google Scholar 

  4. Volkswagen AG, “VOLKSWAGEN CAR-NET - APPS UND DIENSTE IM ÜBERBLICK,” Wolfsburg, Germany, 2015.

    Google Scholar 

  5. Audi AG, “Audi connect & Mobilität,” Ingolstadt, Germany, 2015.

    Google Scholar 

  6. BMW AG, “Rede Harald Krüger, Vorsitzender des Vorstands der BMW AG,” Munich, Germany, 2015.

    Google Scholar 

  7. M. Zuch, “Effizienz im elektromobilen Massenmarkt,” Lecture Notes in Informatics, Gesellschaft für Informatik, Cottbus, 2015.

    Google Scholar 

  8. Muhammad Ismail, Ehab F. El-Saadany, Weihua Zhuang, Mostafa F. Shaaban, Real-Time PEV Charging-Discharging Coordination in Smart Distribution Systems, Waterloo, Canada: IEEE Transactions on Smart Grid (Volume: 5 , Issue: 4), 2014.

    Google Scholar 

  9. Rutger Claes, Stijn Vandael, Niels Leemput, Tom Holvoet, Geert Deconinck, Kristof Coninx, Anticipatory Coordination of Electric Vehicle Allocation to Fast Charging Infrastructure, Leuven, Belgium: EnergyVille, Department of Electrical Engineering, 2014.

    Google Scholar 

  10. R. Waraich, Agent-based simulation of electric vehicles: design and implementation of a framework, Zürich, Switzerland: ETH-Zürich, 2013.

    Google Scholar 

  11. Y. Han, Y. Chen, F. Han and K. J. Ray Liu, “An optimal dynamic pricing and schedule approach in V2G,” IEEE, Maryland, USA, 2012.

    Google Scholar 

  12. V. Larsson, Route Optimized Energy Management of Plug-in Hybrid Electric Vehicles, Göteborg, Sweden: Department of Signals and Systems - Chalmers University of Technology, 2014.

    Google Scholar 

  13. M. N. Mariyasagayam and Y. Kobayashi, “Electric Vehicle Route Assistance Using Forecast on Charging Station,” in ENERGY 2013, The Third International Conference on Smart Grids, Green Communications and IT Energy-aware Technologies, Lisbon, Portugal, 2013.

    Google Scholar 

  14. M. Hirzel, “Partition and Compose: Parallel Complex Event Processing,” DEBS ’12 Proceedings of the 6th ACM International Conference on Distributed Event-Based Systems, New York, USA, 2012.

    Google Scholar 

  15. openstreetmap.de, “OpenStreetMap - Deutschland,” 11 10 2016. [Online]. Available: www.openstreetmap.de. [Accessed 11 10 2016].

  16. Technische Universität Berlin, Swiss Federal Institute of Technology Zurich, Senozon AG, “The Multi-Agent Transport Simulation,” 11 10 2016. [Online]. Available: http://matsim.org. [Accessed 11 10 2016].

    Google Scholar 

  17. The MathWorks GmbH, “How the Genetic Algorithm Works,” 20 08 2016. [Online]. Available: https://de.mathworks.com/help/gads/how-the-genetic-algorithm-works.html. [Accessed 20 08 2016].

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. University of Applied Sciences and Arts in Hanover, Hanover, Germany

    Malte Zuch, Arne Koschel & Andreas Hausotter

Authors
  1. Malte Zuch
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Arne Koschel
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Andreas Hausotter
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Malte Zuch .

Editor information

Editors and Affiliations

  1. Institut für Informatik, LMU München, Munich, Bayern, Germany

    Claudia Linnhoff-Popien

  2. Allianz SE, Munich, Bayern, Germany

    Ralf Schneider

  3. Munich Airport, Munich, Bayern, Germany

    Michael Zaddach

Rights and permissions

Reprints and permissions

Copyright information

© 2018 Springer-Verlag GmbH Germany

About this chapter

Cite this chapter

Zuch, M., Koschel, A., Hausotter, A. (2018). A Generic Model for Coordinating the Individual Energy Demand of Electric Vehicles: Optimizing the Coordination Problem Between Electric Vehicles and Charging Points with the Implementation of a Genetic Algorithm. In: Linnhoff-Popien, C., Schneider, R., Zaddach, M. (eds) Digital Marketplaces Unleashed. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-49275-8_68

Download citation

  • DOI: https://doi.org/10.1007/978-3-662-49275-8_68

  • Published:

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-662-49274-1

  • Online ISBN: 978-3-662-49275-8

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics

Search

Navigation