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Conference Paper: Comparison of chaotic PWM algorithms for electric vehicle motor drives

TitleComparison of chaotic PWM algorithms for electric vehicle motor drives
Authors
Zhang, ZChing, TWLiu, CLee, CHT
KeywordsChaotic frequency modulation
Electric vehicle motor drives
Motor drive
PWM algorithms
Sinusoidal pulse width modulation
Issue Date2012
PublisherIEEE. The Journal's web site is located at http://ieeexplore.ieee.org/xpl/conhome.jsp?punumber=1000352
Citation
The 38th Annual Conference on IEEE Industrial Electronics Society (IECON 2012), Montreal, QC., 25-28 October 2012. In Conference Proceedings, 2012, p. 4087-4092 How to Cite?
DOI: http://dx.doi.org/10.1109/IECON.2012.6389236
AbstractThis paper presents a comparison of two chaoized PWM algorithms for motor drives in the electric vehicle (EV), which are the chaotic sinusoidal pulse width modulation (SPWM) and the chaotic space-vector pulse width modulation (SVPWM). The SPWM scheme can be chaoized by three modulation methods, including the chaotically amplitude-modulated frequency modulation (CAFM), the chaotically position-modulated position modulation (CPPM), and the hybrid chaotic frequency modulation (HCFM), while the chaotic SVPWM can be fulfilled by the chaotically frequency-modulated frequency modulation (CFFM) and the CAFM methods. The performance indexes used in the comparative analysis are the electromagnetic interference (EMI) and the mechanical resonance (MR). The chaotic PWM algorithm is designed and implemented to increase the electromagnetic compatibility (EMC) and the mechanical performance for EV motor drives, and the aforementioned performance indexes are compared for the practical applicability. © 2012 IEEE.
Persistent Identifierhttp://hdl.handle.net/10722/191595
ISBN
978-1-4673-2421-2

 

DC FieldValueLanguage
dc.contributor.authorZhang, Zen_US
dc.contributor.authorChing, TWen_US
dc.contributor.authorLiu, Cen_US
dc.contributor.authorLee, CHTen_US
dc.date.accessioned2013-10-15T07:14:30Z-
dc.date.available2013-10-15T07:14:30Z-
dc.date.issued2012en_US
dc.identifier.citationThe 38th Annual Conference on IEEE Industrial Electronics Society (IECON 2012), Montreal, QC., 25-28 October 2012. In Conference Proceedings, 2012, p. 4087-4092en_US
dc.identifier.isbn978-1-4673-2421-2-
dc.identifier.urihttp://hdl.handle.net/10722/191595-
dc.description.abstractThis paper presents a comparison of two chaoized PWM algorithms for motor drives in the electric vehicle (EV), which are the chaotic sinusoidal pulse width modulation (SPWM) and the chaotic space-vector pulse width modulation (SVPWM). The SPWM scheme can be chaoized by three modulation methods, including the chaotically amplitude-modulated frequency modulation (CAFM), the chaotically position-modulated position modulation (CPPM), and the hybrid chaotic frequency modulation (HCFM), while the chaotic SVPWM can be fulfilled by the chaotically frequency-modulated frequency modulation (CFFM) and the CAFM methods. The performance indexes used in the comparative analysis are the electromagnetic interference (EMI) and the mechanical resonance (MR). The chaotic PWM algorithm is designed and implemented to increase the electromagnetic compatibility (EMC) and the mechanical performance for EV motor drives, and the aforementioned performance indexes are compared for the practical applicability. © 2012 IEEE.-
dc.languageengen_US
dc.publisherIEEE. The Journal's web site is located at http://ieeexplore.ieee.org/xpl/conhome.jsp?punumber=1000352-
dc.relation.ispartofAnnual Conference of Industrial Electronics Society Proceedingsen_US
dc.subjectChaotic frequency modulation-
dc.subjectElectric vehicle motor drives-
dc.subjectMotor drive-
dc.subjectPWM algorithms-
dc.subjectSinusoidal pulse width modulation-
dc.titleComparison of chaotic PWM algorithms for electric vehicle motor drivesen_US
dc.typeConference_Paperen_US
dc.identifier.emailZhang, Z: zhzhang@eee.hku.hken_US
dc.identifier.emailLiu, C: chhualiu@hku.hk-
dc.identifier.emailLee, CHT: lhtchris@hku.hk-
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1109/IECON.2012.6389236-
dc.identifier.scopuseid_2-s2.0-84872946438-
dc.identifier.hkuros225387en_US
dc.identifier.spage4087en_US
dc.identifier.epage4092en_US
dc.publisher.placeUnited Statesen_US
dc.customcontrol.immutablesml 131106-

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