Aggregator to electric vehicle LoRaWAN based communication analysis in vehicle-to-grid systems in smart cities

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dc.contributor.authorKlaina, Hicham
dc.contributor.authorPicallo Guembe, Imanol
dc.contributor.authorLópez Iturri, Peio
dc.contributor.authorAstrain Escola, José Javier
dc.contributor.authorAzpilicueta Fernández de las Heras, Leyre
dc.contributor.authorFalcone Lanas, Francisco
dc.contributor.departmentIngeniaritza Elektrikoa, Elektronikoaren eta Telekomunikazio Ingeniaritzareneu
dc.contributor.departmentEstatistika, Informatika eta Matematikaeu
dc.contributor.departmentInstitute of Smart Cities - ISCen
dc.contributor.departmentIngeniería Eléctrica, Electrónica y de Comunicaciónes_ES
dc.contributor.departmentEstadística, Informática y Matemáticases_ES
dc.date.accessioned2021-01-27T12:17:56Z
dc.date.available2021-01-27T12:17:56Z
dc.date.issued2020
dc.description.abstractRecently, there has been growing attention to the power grid management due to the increasing concerns on global warming. With the advancement in electric vehicles (EV) industry and the evolution in batteries, EVs become an important contributor to the grid with capability of bidirectional power exchange with the grid. In this context, Vehicle-to-Grid (V2G) systems enable multiple functionalities between EVs and the corresponding aggregator. Thus, reliable, long-range communication capabilities between aggregator and EVs is compulsory. In this paper, wireless channel analysis for aggregator and electrical vehicle communication using Long-Range Wide Area Network (LoRaWAN) technology in V2G is presented, in order to test a low-cost solution with large coverage and reduced power consumption profile. Wireless channel and system-level measurements have been performed in a real urban scenario between EV's charging station in Pamplona (Spain) and a vehicle in motion using LoRaWAN 868 MHz devices. Wireless channel characterization is performed by implementing a full 3D urban scenario model, including elements such as buildings, vehicles, users and urban infrastructure such as lamp posts and benches. By means of in-house developed 3D Ray Launching algorithm with hybrid simulation capabilities, estimations of received power levels, signal to noise ratio and time domain parameters have been obtained, for the complete volume of the scenario under test in dense urban conditions. V2G end to end communication has been validated by implementing an intra-vehicle Controller Area Network-BUS (CAN BUS) data gathering system connected to the vehicle LoRaWAN transceiver and subsequently, to a cloud-based web service. The results show that the accurate deterministic based radio channel analysis enables to optimize the network design of LoRaWAN networks in a vehicular environment, considering inter-vehicular and infrastructure links, enabling scalable, low cost end to end data exchange for the deployment of ancillary V2G services.en
dc.description.sponsorshipThis work was supported in part by the 2017 Predoctoral Research Grant through the Xunta de Galicia and the Research Projects funded by the Ministerio de Ciencia, Innovación y Universidades, Gobierno de España through Ministerio de Ciencia, Innovación y Universidades (MCIU)/Agencia Estatal de Investigación (AEI)/Fondo Europeo de Desarrollo Regional (FEDER)/Unión Europea (UE) under Grant TEC2017-85529-C03-3R and Grant RTI2018-095499-B-C31, and in part by the European Union’s Horizon 2020 Research and Innovation Program (Stardust-Holistic and Integrated Urban Model for Smart Cities) under Grant N◦774094.en
dc.format.extent14 p.
dc.format.mimetypeapplication/pdfen
dc.identifier.citationH. Klaina et al., 'Aggregator to Electric Vehicle LoRaWAN Based Communication Analysis in Vehicle-to-Grid Systems in Smart Cities,' in IEEE Access, vol. 8, pp. 124688-124701, 2020, doi: 10.1109/ACCESS.2020.3007597.en
dc.identifier.doi10.1109/ACCESS.2020.3007597
dc.identifier.issn2169-3536 (Electronic)
dc.identifier.urihttps://academica-e.unavarra.es/handle/2454/39087
dc.language.isoengen
dc.publisherIEEEen
dc.relation.ispartofIEEE Access, 2020, 8, 124688-124701en
dc.relation.projectIDinfo:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2013-2016/TEC2017-85529-C3-2-R/ES/
dc.relation.projectIDinfo:eu-repo/grantAgreement/European Commission/Horizon 2020 Framework Programme/774094/
dc.relation.publisherversionhttps://doi.org/10.1109/ACCESS.2020.3007597
dc.rightsThis work is licensed under a Creative Commons Attribution 4.0 License.en
dc.rights.accessRightsinfo:eu-repo/semantics/openAccess
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.subjectVehicle to grid (V2G)en
dc.subjectSmart citiesen
dc.subjectLoRaWANen
dc.subject3D ray launching (3D-RL)en
dc.subjectRadiofrequency characterizationen
dc.titleAggregator to electric vehicle LoRaWAN based communication analysis in vehicle-to-grid systems in smart citiesen
dc.typeinfo:eu-repo/semantics/article
dc.type.versioninfo:eu-repo/semantics/publishedVersion
dspace.entity.typePublication
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relation.isAuthorOfPublication674cf14a-2752-42aa-8968-c7a8ff24dc1f
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relation.isAuthorOfPublication.latestForDiscovery86f29e0a-60c5-4c5c-acb6-ac8b33f67893

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