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Design of Data Management Service Platform for Intelligent Electric Vehicle Charging Controller Multi-charger Model

2022-08Journal article Open access
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dc.contributor.authorBaptista, Pedro
dc.contributor.authorCardoso, Filipe
dc.contributor.authorRosado, Jose
dc.contributor.authorCaldeira, Filipe
dc.date.accessioned2024-01-11T11:32:00Z
dc.date.available2024-01-11T11:32:00Z
dc.date.issued2022-08
dc.description.abstractThe electric charging solutions for the residential market imply, in many situations, an increase in the contracted power in order to allow to perform an efficient charging cycle that starts when the charger is connected and ends when the VE battery is fully charged. However, the increase in contracted power is not always the best solution for faster and more efficient charging. With a focus on the residential market, the presented architecture is suitable for single-use and shared connection points, which are becoming common in apartment buildings without a closed garage, allowing for sharing the available electrical connections to the grid. The multi-charger architecture allows using one or several common charging points by applying a mesh network of intelligent chargers orchestrated by a residential gateway. Managing the generated data load involves enabling data flow between several independent data producers and consumers. The data stream ingestion system must be scalable, resilient, and extendable.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.citationBaptista, P., Rosado, J., Caldeira, F. & Cardoso, F. (2022). Design of data management service platform for intelligent electric vehicle charging controller multi‑charger model. Energy Inform 2022, 5 (3) 21-25. https://doi.org/10.1186/s42162-022-00219-2pt_PT
dc.identifier.doihttps://doi.org/10.1186/s42162-022-00219-2pt_PT
dc.identifier.urihttp://hdl.handle.net/10400.15/4696
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.publisherSpringerOpenpt_PT
dc.relation.publisherversionhttps://energyinformatics.springeropen.com/articles/10.1186/s42162-022-00219-2pt_PT
dc.subjectEVSEpt_PT
dc.subjectElectric Vehiclespt_PT
dc.subjectIntelligent Chargingpt_PT
dc.subjectLoad Managementpt_PT
dc.subjectMobilitypt_PT
dc.subjectMeshpt_PT
dc.subjectData Managementpt_PT
dc.subjectFog Computingpt_PT
dc.titleDesign of Data Management Service Platform for Intelligent Electric Vehicle Charging Controller Multi-charger Modelpt_PT
dc.typejournal article
dspace.entity.typePublication
oaire.citation.conferencePlaceVejle, Denmarkpt_PT
oaire.citation.endPage25pt_PT
oaire.citation.startPage21pt_PT
oaire.citation.titleEnergy Informatics.Academy Conference 2022pt_PT
person.familyNameGonçalves Cardoso
person.givenNameFilipe
person.identifier19-AQJEAAAAJ
person.identifier.ciencia-id8219-19E8-C070
person.identifier.orcid0000-0002-3916-5182
person.identifier.scopus-author-id57486516500
rcaap.rightsopenAccesspt_PT
rcaap.typearticlept_PT
relation.isAuthorOfPublicationf108cbea-41e4-459d-86e3-3225c293e4a6
relation.isAuthorOfPublication.latestForDiscoveryf108cbea-41e4-459d-86e3-3225c293e4a6

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