جهت دسترسی به کاربرگه ی زیر، از این لینک استفاده کنید. http://dl.pgu.ac.ir/handle/Hannan/71892
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dc.creatorShabbir, W-
dc.creatorEvangelou, S-
dc.date.accessioned2017-05-17T09:36:30Z-
dc.date.available2017-05-17T09:36:30Z-
dc.date.issued2016-02-11-
dc.date.issued2016-02-11-
dc.date.issued2015-12-26-
dc.identifier1558-0865-
dc.identifierhttp://hdl.handle.net/10044/1/28832-
dc.identifierhttps://dx.doi.org/10.1109/TCST.2016.2520904-
dc.descriptionSupervisory control systems (SCSs) are used to manage the powertrain of hybrid electric vehicles (HEV). This paper presents a novel SCS called Exclusive operation strategy (XOS) that applies simple rules based on the idea that batteries are efficient at lower loads while engines and generators are efficient at higher loads. The XOS is developed based on insights gained from three conventional SCSs for series HEVs: Thermostat control strategy (TCS), Power follower control strategy (PFCS) and Global equivalent consumption minimization strategy (GECMS). Also, recent technological developments have been considered to make the XOS more suited to modern HEVs than conventional SCSs. The resulting control decisions are shown to emulate the operation of approximate global optimal solutions and thus achieve significant improvement in fuel economy as compared to TCS and PFCS. In addition, the generally linear relationship between required power and engine power for the XOS provides auditory cues to the driver that are comparable to conventional vehicles, thus reducing barriers to adopting HEVs. The simplicity and effectiveness of the XOS makes it a practical SCS.-
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)-
dc.relationIEEE Transactions on Control Systems Technology-
dc.rights© 2016 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.-
dc.source2198-
dc.source2190-
dc.subjectScience & Technology-
dc.subjectTechnology-
dc.subjectAutomation & Control Systems-
dc.subjectEngineering, Electrical & Electronic-
dc.subjectEngineering-
dc.subjectAutomotive control-
dc.subjectbenchmark-
dc.subjectenergy management-
dc.subjectheuristic control-
dc.subjecthybrid electric vehicle (HEV)-
dc.subjectsupervisory control-
dc.subjectPONTRYAGINS MINIMUM PRINCIPLE-
dc.subjectMANAGEMENT STRATEGY-
dc.subjectENERGY MANAGEMENT-
dc.subjectCONSUMPTION-
dc.subjectPOWERTRAINS-
dc.subjectEFFICIENCY-
dc.subjectECMS-
dc.subjectIndustrial Engineering & Automation-
dc.subject Electrical And Electronic Engineering-
dc.subject0102 Applied Mathematics-
dc.titleExclusive Operation Strategy for the Supervisory Control of Series Hybrid Electric Vehicles-
dc.typeOther-
Appears in Collections:Faculty of Engineering

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