Range extended engine management system for electric vehicles: Control design process

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dc.cclicenceN/Aen
dc.contributor.authorPaluszczyszyn, D.en
dc.contributor.authorAl-Doori, M.en
dc.contributor.authorManning, W.en
dc.contributor.authorElizondo, Daviden
dc.contributor.authorGoodyer, E.en
dc.date.accessioned2017-03-17T11:49:05Z
dc.date.available2017-03-17T11:49:05Z
dc.date.issued2014
dc.description.abstractIn this work a research is presented aimed to improve the mechanical performance models used to establish a range-extension methodology, and to introduce the use of computational intelligence to operate a real-time range extension engine management system to replace the current algorithmic approach. This paper describes the initial stage in design of the control strategy, taking into account a number of environmental factors in order to increase the range of series hybrid electric vehicles.en
dc.funderiNET/ERDFen
dc.identifier.citationPaluszczyszyn, D., Al-Doori, M., Manning, W., Elizondo, D. and Goodyer, E. (2014) Range extended engine management system for electric vehicles: control design process. Proceedings of the 12th international symposium on advanced vehicle control (AVEC2014), pp. 468-473en
dc.identifier.urihttp://hdl.handle.net/2086/13713
dc.peerreviewedYesen
dc.projectidREEMSen
dc.researchgroupDIGITSen
dc.researchinstituteInstitute of Artificial Intelligence (IAI)en
dc.subjectengine managementen
dc.subjecthybrid electric vehicleen
dc.subjectrange-extenderen
dc.titleRange extended engine management system for electric vehicles: Control design processen
dc.typeConferenceen

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