Modelling, control and application of dynamic programming to a series-parallel hybrid electric vehicle

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dc.contributor.authorTRINDADE, I. M.
dc.contributor.authorFLEURY, A. T.
dc.date.accessioned2023-08-26T23:48:31Z
dc.date.available2023-08-26T23:48:31Z
dc.date.issued2015-09-21
dc.description.abstract© 2015 Dime universita di genova, dimeg university of calabria. All rights reserved.Hybrid Electric Vehicles (HEVs) present a wide range of powertrain configurations, degrees of hybridization and added costs when compared to conventional powertrains. From the point of view of control system, the major problem is the reduction of fuel consumption and pollutant emission. A method for determining the strategy that best suits this problem relies on minimization methods that find the optimal control variables depending on the system states and cost functions. This paper presents the modelling of the powertrain of a series-parallel HEV and control strategies with focus on fuel consumption reduction. As energy management strategy, a rule based (sub optimal) and dynamic programming (optimal) methods were implemented. Results obtained with both models are compared with real dynamometer test.
dc.description.firstpage71
dc.description.lastpage78
dc.identifier.citationTRINDADE, I. M.; FLEURY, A. T. Modelling, control and application of dynamic programming to a series-parallel hybrid electric vehicle. International Conference on Integrated Modeling and Analysis in Applied Control and Automation, sept. 2015.
dc.identifier.issn2305-2139
dc.identifier.urihttps://repositorio.fei.edu.br/handle/FEI/4916
dc.relation.ispartofInternational Conference on Integrated Modeling and Analysis in Applied Control and Automation
dc.rightsAcesso Restrito
dc.subject.otherlanguageDynamic programming
dc.subject.otherlanguageFuel consumption
dc.subject.otherlanguageHybrid electric vehicle
dc.subject.otherlanguageOptimization
dc.titleModelling, control and application of dynamic programming to a series-parallel hybrid electric vehicle
dc.typeArtigo de evento
fei.scopus.citations3
fei.scopus.eid2-s2.0-84960858170
fei.scopus.subjectControl strategies
fei.scopus.subjectEnergy management strategies
fei.scopus.subjectFuel consumption reduction
fei.scopus.subjectHybrid electric vehicles (HEVs)
fei.scopus.subjectMinimization methods
fei.scopus.subjectOptimal controls
fei.scopus.subjectPollutant emission
fei.scopus.subjectPowertrain configuration
fei.scopus.updated2024-07-01
fei.scopus.urlhttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84960858170&origin=inward
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