Fuel economy regression analyses for hybrid electric vehicle

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dc.contributor.authorMinh, Vu Trieu
dc.contributor.authorMoezzi, Reza
dc.contributor.authorOwe, Israel
dc.date.accessioned2019-09-13T09:07:27Z
dc.date.available2019-09-13T09:07:27Z
dc.date.issued2018-06-30
dc.description.abstractThis study analyses the modelling and simulation of different hybrid electric vehicles(HEV) from battery, DC to DC converter, electric motor and generator, operational modes, planetary gear, internal combustion engine, vehicle body, vehicle dynamics, and control system. Several HEVs are simulated based on different size on specific drive cycle, and fuel consumption is recorded for each. The optimized HEV is extracted from regression model calculated by MATLAB with different polynomial order.cs
dc.format.extent16 strancs
dc.identifier.WebofScienceResearcherIDX-9798-2018 Moezzi, Reza
dc.identifier.doi10.3166/EJEE.20.363-377
dc.identifier.orcid0000-0003-2131-8504 Moezzi, Reza
dc.identifier.urihttps://dspace.tul.cz/handle/15240/153566
dc.identifier.urihttp://www.iieta.org/journals/ejee/paper/10.3166/EJEE.20.363-377
dc.language.isocscs
dc.relation.ispartofEuropean Journal of Electrical Engineering
dc.subjectregression analysescs
dc.subjectfuel consumptioncs
dc.subjectoptimal modelcs
dc.subjecthybrid electric vehiclecs
dc.subjectdrive cyclecs
dc.titleFuel economy regression analyses for hybrid electric vehiclecs
local.accessOpen Access
local.citation.epage377
local.citation.spage363
local.relation.volume3/2018
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