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Assessment of wireless charging impacts based on real-world driving patterns: Case study in Lisbon, Portugal

dc.contributor.authorDuarte, Gonçalo
dc.contributor.authorSilva, André
dc.contributor.authorBaptista, Patrícia
dc.date.accessioned2021-06-29T11:09:44Z
dc.date.available2021-06-29T11:09:44Z
dc.date.issued2021-08
dc.description.abstractIn the current transition to a smarter and more efficient transportation system, battery electric vehicle mileage and the time required for charging are still two main constraints that need to be overcome to enable a larger penetration of electric vehicles. Moreover, the few charging stations available are a consequence of the "supply and demand" problem. Consequently, wireless dynamic recharging can be a complementary solution to address the problems of light-duty electric mobility and an added-value towards autonomous vehicles. Consequently, this paper presents an innovative approach based on real world mobility patterns collected for a sample in the city of Lisbon, Portugal, to assess users' electric vehicle feasibility by assessing different recharging scenarios, comparing stationary and dynamic recharging scenarios. The results indicate that at least 15 % more drivers would be eligible to own an electric vehicle if wireless charging was available. Moreover, wireless charging reduces the range of battery used, with stationary charging requiring circa 3.2 times more battery range. The developed approach confirms that wireless dynamic recharging can significantly change the framework of current electric mobility limitations, reducing range anxiety issues, contributing to redesign electric vehicle battery capacity and overcome barriers in stationary charging deployment and availability.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.citationDUARTE, Gonçalo; SILVA, André; BAPTISTA, Patrícia – Assessment of wireless charging impacts based on real-world driving patterns: Case study in Lisbon, Portugal. Sustainable Cities and Society. ISSN 2210-6707. Vol. 71 (2021), pp. 1-8pt_PT
dc.identifier.doi10.1016/j.scs.2021.102952pt_PT
dc.identifier.eissn2210-6715
dc.identifier.issn2210-6707
dc.identifier.urihttp://hdl.handle.net/10400.21/13502
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.publisherElsevierpt_PT
dc.relationUID/EEA/50009/2019 - FCT European Commissionpt_PT
dc.relationCEECIND/02589/2017 - FCT European Commissionpt_PT
dc.relationLISBOA-01-0247-FEDER-046109 - European Commissionpt_PT
dc.relationLIS-BOA-01-0247-FEDER-046095 - European Commissionpt_PT
dc.relationLISBOA-01-0247-FEDER-045919 - European Commissionpt_PT
dc.relation.publisherversionhttps://reader.elsevier.com/reader/sd/pii/S2210670721002377?token=1612683774561BF3F4480F39F41E03C3FB2727B309C896A5137896D9F2A5435984A67F1EB9D3CF99E919721F94947165&originRegion=eu-west-1&originCreation=20210629105825pt_PT
dc.subjectNaturalistic driving datapt_PT
dc.subjectElectric vehiclespt_PT
dc.subjectEnergy consumptionpt_PT
dc.subjectDynamic rechargingpt_PT
dc.subjectBattery capacitypt_PT
dc.titleAssessment of wireless charging impacts based on real-world driving patterns: Case study in Lisbon, Portugalpt_PT
dc.typejournal article
dspace.entity.typePublication
oaire.citation.endPage8pt_PT
oaire.citation.startPage1pt_PT
oaire.citation.titleSustainable Cities and Societypt_PT
oaire.citation.volume71pt_PT
person.familyNameDuarte
person.familyNameSilva
person.familyNameBaptista
person.givenNameGonçalo
person.givenNameAndré
person.givenNamePatricia
person.identifier.ciencia-id6918-836F-646D
person.identifier.ciencia-id0D18-21FF-BD67
person.identifier.orcid0000-0002-7216-611X
person.identifier.orcid0000-0002-5220-2689
person.identifier.orcid0000-0003-1559-9151
person.identifier.ridI-1242-2014
person.identifier.ridA-5356-2012
person.identifier.scopus-author-id57189656488
person.identifier.scopus-author-id16202135300
rcaap.rightsclosedAccesspt_PT
rcaap.typearticlept_PT
relation.isAuthorOfPublication060bb526-9d2c-4717-91dc-2f91262667c7
relation.isAuthorOfPublication2c3fc126-88d4-4f5f-a6e5-d3e1c7001e0e
relation.isAuthorOfPublication988ac929-a49e-4479-ae9d-3cf902ebb067
relation.isAuthorOfPublication.latestForDiscovery060bb526-9d2c-4717-91dc-2f91262667c7

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