Please use this identifier to cite or link to this item:
http://hdl.handle.net/10397/73937
DC Field | Value | Language |
---|---|---|
dc.contributor | Department of Electrical Engineering | en_US |
dc.creator | Wang, Y | en_US |
dc.creator | Niu, S | en_US |
dc.creator | Fu, W | en_US |
dc.date.accessioned | 2018-03-29T07:15:41Z | - |
dc.date.available | 2018-03-29T07:15:41Z | - |
dc.identifier.issn | 0278-0046 | en_US |
dc.identifier.uri | http://hdl.handle.net/10397/73937 | - |
dc.language.iso | en | en_US |
dc.publisher | Institute of Electrical and Electronics Engineers | en_US |
dc.rights | ©2017 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. | en_US |
dc.rights | The following publication Y. Wang, S. Niu and W. Fu, "Sensitivity Analysis and Optimal Design of a Dual Mechanical Port Bidirectional Flux-Modulated Machine," in IEEE Transactions on Industrial Electronics, vol. 65, no. 1, pp. 211-220, Jan. 2018 is available at https://doi.org/10.1109/TIE.2017.2719620 | en_US |
dc.subject | Dual mechanical port | en_US |
dc.subject | Electric continuously variable transmission (E-CVT) | en_US |
dc.subject | Finite element method (FEM) | en_US |
dc.subject | Flux modulation | en_US |
dc.subject | Hybrid electrical vehicles (HEVs) | en_US |
dc.subject | Optimal design | en_US |
dc.title | Sensitivity analysis and optimal design of a dual mechanical port bidirectional flux-modulated machine | en_US |
dc.type | Journal/Magazine Article | en_US |
dc.identifier.spage | 211 | en_US |
dc.identifier.epage | 220 | en_US |
dc.identifier.volume | 65 | en_US |
dc.identifier.issue | 1 | en_US |
dc.identifier.doi | 10.1109/TIE.2017.2719620 | en_US |
dcterms.abstract | This paper presents an optimal design methodology of a dual-mechanical-port bidirectional flux-modulated machine for electric continuously variable transmission (E-CVT) in hybrid electrical vehicles (HEV). The key is to utilize bidirectional flux modulation effect to combine two rotors and one stator together, aiming to realize electrical and mechanical power flexible split and combination. Due to the complexity of the machine structure, conventional optimization methods using analytical model are inapplicable. Therefore, an effective and practical method which combines the genetic algorithm and finite element method (GA-FEM) is proposed to optimize the performance of the machine in this paper. Since the computational cost increases exponentially with the increasing of parameter numbers, to reduce the computational cost in the optimization, the design parameters are divided into two levels basing on a sensitivity analysis. And then the sensitive parameters are optimized using the GA-FEM coupled method. Finally, a prototype is fabricated to verify the effectiveness of the optimal design. | en_US |
dcterms.accessRights | open access | en_US |
dcterms.bibliographicCitation | IEEE transactions on industrial electronics, Jan. 2018, v. 65, no. 1, p. 211-220 | en_US |
dcterms.isPartOf | IEEE transactions on industrial electronics | en_US |
dcterms.issued | 2018-01 | - |
dc.identifier.scopus | 2-s2.0-85021836800 | - |
dc.identifier.eissn | 1557-9948 | en_US |
dc.identifier.rosgroupid | 2017003004 | - |
dc.description.ros | 2017-2018 > Academic research: refereed > Publication in refereed journal | en_US |
dc.description.validate | 201802 bcrc | en_US |
dc.description.oa | Accepted Manuscript | en_US |
dc.identifier.FolderNumber | EE-0431 | - |
dc.description.fundingSource | RGC | en_US |
dc.description.pubStatus | Published | en_US |
dc.identifier.OPUS | 6758372 | - |
Appears in Collections: | Journal/Magazine Article |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
Wang_Sensitivity_Analysis_Optimal.pdf | Pre-Published version | 2.92 MB | Adobe PDF | View/Open |
Page views
105
Last Week
0
0
Last month
Citations as of Apr 14, 2024
Downloads
95
Citations as of Apr 14, 2024
SCOPUSTM
Citations
55
Last Week
0
0
Last month
Citations as of Apr 12, 2024
WEB OF SCIENCETM
Citations
45
Last Week
0
0
Last month
Citations as of Apr 18, 2024
Google ScholarTM
Check
Altmetric
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.