A control strategy for parallel hybrid electric vehicles based on extremum seeking

dc.authorid Dincmen, Erkin/0000-0002-3234-281X
dc.authorscopusid 24450090100
dc.authorscopusid 7004242785
dc.authorwosid Dincmen, Erkin/B-3103-2018
dc.contributor.author Dincmen, Erkin
dc.contributor.author Guvenc, Bilin Aksun
dc.date.accessioned 2024-05-25T11:21:30Z
dc.date.available 2024-05-25T11:21:30Z
dc.date.issued 2012
dc.department Okan University en_US
dc.department-temp [Guvenc, Bilin Aksun] Okan Univ, Dept Mech Engn, Sch Engn & Architecture, Istanbul, Turkey; [Dincmen, Erkin] Istanbul Tech Univ, Dept Mech Engn, TR-80626 Istanbul, Turkey en_US
dc.description Dincmen, Erkin/0000-0002-3234-281X en_US
dc.description.abstract An energy management control strategy for a parallel hybrid electric vehicle based on the extremum-seeking method for splitting torque between the internal combustion engine and electric motor is proposed in this paper. The control strategy has two levels of operation: the upper and lower levels. The upper level decision-making controller chooses the vehicle operation mode such as the simultaneous use of the internal combustion engine and electric motor, use of only the electric motor, use of only the internal combustion engine, or regenerative braking. In the simultaneous use of the internal combustion engine and electric motor, the optimum energy distribution between these two sources of energy is determined via the extremum-seeking algorithm that searches for maximum drivetrain efficiency. A dynamic programming solution is also obtained and used to form a benchmark for performance evaluation of the proposed method based on extremum seeking. Detailed simulations using a realistic model are presented to illustrate the effectiveness of the methodology. en_US
dc.identifier.citationcount 38
dc.identifier.doi 10.1080/00423114.2011.577224
dc.identifier.endpage 227 en_US
dc.identifier.issn 0042-3114
dc.identifier.issue 2 en_US
dc.identifier.scopus 2-s2.0-84856255777
dc.identifier.scopusquality Q1
dc.identifier.startpage 199 en_US
dc.identifier.uri https://doi.org/10.1080/00423114.2011.577224
dc.identifier.uri https://hdl.handle.net/20.500.14517/580
dc.identifier.volume 50 en_US
dc.identifier.wos WOS:000302544600002
dc.identifier.wosquality Q2
dc.language.iso en
dc.publisher Taylor & Francis Ltd en_US
dc.relation.publicationcategory Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı en_US
dc.rights info:eu-repo/semantics/closedAccess en_US
dc.scopus.citedbyCount 40
dc.subject hybrid electric vehicle modelling and control en_US
dc.subject extremum-seeking algorithm en_US
dc.subject drivetrain efficiency en_US
dc.subject dynamic programming en_US
dc.subject fuel economy en_US
dc.title A control strategy for parallel hybrid electric vehicles based on extremum seeking en_US
dc.type Article en_US
dc.wos.citedbyCount 34

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