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Including engine data for energy and pollutants assessment into the vehicle specific power methodology

2022-04-01Journal article Restricted access
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dc.contributor.authorMera, Zamir
dc.contributor.authorVarella, Roberto
dc.contributor.authorBaptista, Patrícia
dc.contributor.authorDuarte, Gonçalo
dc.contributor.authorRosero Obando, Fredy
dc.date.accessioned2023-05-22T08:00:51Z
dc.date.available2023-05-22T08:00:51Z
dc.date.issued2022-04-01
dc.description.abstractVehicle emission models are relevant for evaluating the performance of vehicle technologies and help in the definition of environmental policies. This paper presents an improved emissions modelling approach (named VSP+M) by combining the vehicle specific power (VSP) with load-regime engine maps for each VSP mode. The new modelling enabled to link tailpipe emissions to vehicle and engine operating conditions, obtained from real driving emission (RDE) tests and on-board diagnosis (OBD) data. The parameters for the sizing of engine maps were optimised by means of Pareto frontiers to solve the trade-off between the minimisation of RMSE and emission factor errors in urban sections and total RDE trips. The CO2 emission factors errors were reduced up to 63% and 45% for urban and RDE sections, respectively. The NOx emission factor errors were reduced up to 15%, maintaining the same RMSE levels. Optimal engine maps sizing was found for every tested vehicle and for each engine type to be applied in other vehicles. This study demonstrates the potential to address declinations of the conventional VSP model based on engine operation or proxies to those variables by using the proposed approach.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.citationMERA, Zamir; [et al] – Including engine data for energy and pollutants assessment into the vehicle specific power methodology. Applied Energy. ISSN 0306-2619. Vol. 311 (2022), pp. 1-18.pt_PT
dc.identifier.doi10.1016/j.apenergy.2022.118690pt_PT
dc.identifier.eissn1872-9118
dc.identifier.issn0306-2619
dc.identifier.urihttp://hdl.handle.net/10400.21/16088
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.publisherElsevierpt_PT
dc.relationPAC-LISBOA-01- 0247-FEDER-046095pt_PT
dc.relationLaboratory for Robotics and Engineering Systems
dc.relationNot Available
dc.relation.publisherversionhttps://www.sciencedirect.com/science/article/pii/S0306261922001556?via%3Dihubpt_PT
dc.subjectOn-board diagnostics (OBD)pt_PT
dc.subjectVehicle emission modelspt_PT
dc.subjectEmission mapspt_PT
dc.subjectVehicle specific powerpt_PT
dc.subjectPareto optimizationpt_PT
dc.subjectCO2 emissionspt_PT
dc.titleIncluding engine data for energy and pollutants assessment into the vehicle specific power methodologypt_PT
dc.typejournal article
dspace.entity.typePublication
oaire.awardTitleLaboratory for Robotics and Engineering Systems
oaire.awardTitleNot Available
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UID%2FEEA%2F50009%2F2019/PT
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/CEEC IND 2017/CEECIND%2F02589%2F2017%2FCP1461%2FCT0021/PT
oaire.citation.endPage18pt_PT
oaire.citation.startPage1pt_PT
oaire.citation.titleApplied Energypt_PT
oaire.citation.volume311pt_PT
oaire.fundingStream6817 - DCRRNI ID
oaire.fundingStreamCEEC IND 2017
person.familyNameMera
person.familyNameBaptista
person.familyNameDuarte
person.familyNameRosero Obando
person.givenNameZamir
person.givenNamePatricia
person.givenNameGonçalo
person.givenNameFredy
person.identifier.ciencia-id0D18-21FF-BD67
person.identifier.ciencia-id6918-836F-646D
person.identifier.orcid0000-0003-2897-8847
person.identifier.orcid0000-0003-1559-9151
person.identifier.orcid0000-0002-7216-611X
person.identifier.orcid0000-0003-0971-1944
person.identifier.ridF-2865-2019
person.identifier.ridA-5356-2012
person.identifier.ridI-1242-2014
person.identifier.scopus-author-id57201681146
person.identifier.scopus-author-id16202135300
person.identifier.scopus-author-id57189656488
person.identifier.scopus-author-id57212550470
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.nameFundação para a Ciência e a Tecnologia
project.funder.nameFundação para a Ciência e a Tecnologia
rcaap.rightsclosedAccesspt_PT
rcaap.typearticlept_PT
relation.isAuthorOfPublicatione3c0fe93-2d30-48d5-94b3-1a50bad97c55
relation.isAuthorOfPublication988ac929-a49e-4479-ae9d-3cf902ebb067
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