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On the Mobile Communication Requirements for the Demand-Side Management of Electric Vehicles

Author

Listed:
  • Stefano Rinaldi

    (Department of Information Engineering, University of Brescia, Via Branze 38, 25123 Brescia, Italy)

  • Marco Pasetti

    (Department of Information Engineering, University of Brescia, Via Branze 38, 25123 Brescia, Italy)

  • Emiliano Sisinni

    (Department of Information Engineering, University of Brescia, Via Branze 38, 25123 Brescia, Italy)

  • Federico Bonafini

    (Department of Information Engineering, University of Brescia, Via Branze 38, 25123 Brescia, Italy)

  • Paolo Ferrari

    (Department of Information Engineering, University of Brescia, Via Branze 38, 25123 Brescia, Italy)

  • Mattia Rizzi

    (Department of Information Engineering, University of Brescia, Via Branze 38, 25123 Brescia, Italy)

  • Alessandra Flammini

    (Department of Information Engineering, University of Brescia, Via Branze 38, 25123 Brescia, Italy)

Abstract

The rising concerns about global warming and environmental pollution are increasingly pushing towards the replacement of road vehicles powered by Internal Combustion Engines (ICEs). Electric Vehicles (EVs) are generally considered the best candidates for this transition, however, existing power grids and EV management systems are not yet ready for a large penetration of EVs, and the current opinion of the scientific community is that further research must be done in this field. The so-called Vehicle-to-Grid (V2G) concept plays a relevant role in this scenario by providing the communication capabilities required by advanced control and Demand-Side Management (DSM) strategies. Following this research trend, in this paper the communication requirements for the DSM of EVs in urban environments are discussed, by focusing on the mobile communication among EVs and smart grids. A specific system architecture for the DSM of EVs moving inside urban areas is proposed and discussed in terms of the required data throughput. In addition, the use of a Low-Power Wide-Area Network (LPWAN) solution—the Long-Range Wide Area Network (LoRaWAN) technology—is proposed as a possible alternative to cellular-like solutions, by testing an experimental communication infrastructure in a real environment. The results show that the proposed LPWAN technology is capable to handle an adequate amount of information for the considered application, and that one LoRa base station is able to serve up to 438 EVs per cell, and 1408 EV charging points.

Suggested Citation

  • Stefano Rinaldi & Marco Pasetti & Emiliano Sisinni & Federico Bonafini & Paolo Ferrari & Mattia Rizzi & Alessandra Flammini, 2018. "On the Mobile Communication Requirements for the Demand-Side Management of Electric Vehicles," Energies, MDPI, vol. 11(5), pages 1-27, May.
    • Handle: RePEc:gam:jeners:v:11:y:2018:i:5:p:1220-:d:145599
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    References listed on IDEAS

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    Cited by:

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    5. Mariusz Nowak & Piotr Derbis & Krzysztof Kurowski & Rafał Różycki & Grzegorz Waligóra, 2021. "LPWAN Networks for Energy Meters Reading and Monitoring Power Supply Network in Intelligent Buildings," Energies, MDPI, vol. 14(23), pages 1-14, November.
    6. Marco Pasetti & Stefano Rinaldi & Alessandra Flammini & Michela Longo & Federica Foiadelli, 2019. "Assessment of Electric Vehicle Charging Costs in Presence of Distributed Photovoltaic Generation and Variable Electricity Tariffs," Energies, MDPI, vol. 12(3), pages 1-20, February.
    7. Giovanni Artale & Giuseppe Caravello & Antonio Cataliotti & Valentina Cosentino & Dario Di Cara & Salvatore Guaiana & Ninh Nguyen Quang & Marco Palmeri & Nicola Panzavecchia & Giovanni Tinè, 2020. "A Virtual Tool for Load Flow Analysis in a Micro-Grid," Energies, MDPI, vol. 13(12), pages 1-26, June.
    8. Nusrat Chowdhury & Chowdhury Akram Hossain & Michela Longo & Wahiba Yaïci, 2020. "Feasibility and Cost Analysis of Photovoltaic-Biomass Hybrid Energy System in Off-Grid Areas of Bangladesh," Sustainability, MDPI, vol. 12(4), pages 1-15, February.
    9. Giovanni Artale & Antonio Cataliotti & Valentina Cosentino & Dario Di Cara & Riccardo Fiorelli & Salvatore Guaiana & Nicola Panzavecchia & Giovanni Tinè, 2019. "A New Coupling Solution for G3-PLC Employment in MV Smart Grids," Energies, MDPI, vol. 12(13), pages 1-23, June.

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