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Please use this identifier to cite or link to this item: http://hdl.handle.net/11375/26144
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DC FieldValueLanguage
dc.contributor.advisorEmadi, Ali-
dc.contributor.authorOstadian Bidgoli, Reihaneh-
dc.date.accessioned2021-01-13T15:46:48Z-
dc.date.available2021-01-13T15:46:48Z-
dc.date.issued2021-
dc.identifier.urihttp://hdl.handle.net/11375/26144-
dc.description.abstractThis thesis proposes a novel framework for solving the energy management problem of Hybrid Electric Vehicles (HEVs). We aim to establish a practical and effective approach targeting an optimal Energy Management Strategy (EMS). A situation-specific Equivalent Consumption Minimization Strategy (ECMS) is developed to minimize fuel consumption and improve battery charge sustainability while maintaining an acceptable drive quality. The investigated methodology will be broadly applicable to all HEV applications; however, it will be well-suited for hybrid electric delivery applications.en_US
dc.language.isoenen_US
dc.subjectenergy management strategyen_US
dc.subjectelectrified vehiclesen_US
dc.subjectoptimization methodsen_US
dc.subjectintelligent controlen_US
dc.titleAn Intelligent Energy Management Strategy Framework for Hybrid Electric Vehiclesen_US
dc.typeThesisen_US
dc.contributor.departmentElectrical and Computer Engineeringen_US
dc.description.degreetypeThesisen_US
dc.description.degreeMaster of Applied Science (MASc)en_US
Appears in Collections:Open Access Dissertations and Theses

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