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- Publisher Website: 10.23919/IPEC.2018.8507669
- Scopus: eid_2-s2.0-85057340430
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Conference Paper: Comparative Study on Front-End Parameter Identification Methods for Wireless Power Transfer Without Wireless Communication Systems
Title | Comparative Study on Front-End Parameter Identification Methods for Wireless Power Transfer Without Wireless Communication Systems |
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Authors | |
Keywords | Front-end parameter identification static and dynamic charging wireless power transfer |
Issue Date | 2018 |
Publisher | IEEE. The Proceedings' web site is located at https://ieeexplore.ieee.org/xpl/mostRecentIssue.jsp?punumber=8476150 |
Citation | Proceedings of the 2018 International Power Electronics Conference - IEEE Energy Conversion Congress and Exposition Asia (IPEC-Niigata 2018 –ECCE Asia), Niigata, Japan, 20-24 May 2018, p. 2552 - 2557 How to Cite? |
Abstract | In this paper, five front-end parameter identification methods are compared for wireless power transfer applications by considering estimation accuracy, valid frequency range, the maximum number of identifiable parameters, execution time, scalability, and minimum sampling rate. The front-end parameter identification methods are shown to be time efficient, accurate and powerful and demonstrate huge potentials as compared to methods with wireless commutation systems. It is envisaged that front-end parameter identification techniques can be used as a powerful tool in future WPT applications. |
Description | Oral Session (Organized) 23K2 Static Wireless EV Charging - Invited Paper no. 23K2-1 |
Persistent Identifier | http://hdl.handle.net/10722/260695 |
DC Field | Value | Language |
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dc.contributor.author | Li, S | - |
dc.contributor.author | Hui, SYR | - |
dc.date.accessioned | 2018-09-14T08:45:51Z | - |
dc.date.available | 2018-09-14T08:45:51Z | - |
dc.date.issued | 2018 | - |
dc.identifier.citation | Proceedings of the 2018 International Power Electronics Conference - IEEE Energy Conversion Congress and Exposition Asia (IPEC-Niigata 2018 –ECCE Asia), Niigata, Japan, 20-24 May 2018, p. 2552 - 2557 | - |
dc.identifier.uri | http://hdl.handle.net/10722/260695 | - |
dc.description | Oral Session (Organized) 23K2 Static Wireless EV Charging - Invited Paper no. 23K2-1 | - |
dc.description.abstract | In this paper, five front-end parameter identification methods are compared for wireless power transfer applications by considering estimation accuracy, valid frequency range, the maximum number of identifiable parameters, execution time, scalability, and minimum sampling rate. The front-end parameter identification methods are shown to be time efficient, accurate and powerful and demonstrate huge potentials as compared to methods with wireless commutation systems. It is envisaged that front-end parameter identification techniques can be used as a powerful tool in future WPT applications. | - |
dc.language | eng | - |
dc.publisher | IEEE. The Proceedings' web site is located at https://ieeexplore.ieee.org/xpl/mostRecentIssue.jsp?punumber=8476150 | - |
dc.relation.ispartof | International Power Electronics Congress (IPEC) - IEEE Energy Conversion Congress and Exposition Asia (ECCE-Asia) | - |
dc.rights | International Power Electronics Congress (IPEC) - IEEE Energy Conversion Congress and Exposition Asia (ECCE-Asia). Copyright © IEEE. | - |
dc.rights | ©2018 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.subject | Front-end | - |
dc.subject | parameter identification | - |
dc.subject | static and dynamic charging | - |
dc.subject | wireless power transfer | - |
dc.title | Comparative Study on Front-End Parameter Identification Methods for Wireless Power Transfer Without Wireless Communication Systems | - |
dc.type | Conference_Paper | - |
dc.identifier.email | Li, S: snli@eee.hku.hk | - |
dc.identifier.email | Hui, SYR: ronhui@eee.hku.hk | - |
dc.identifier.authority | Hui, SYR=rp01510 | - |
dc.description.nature | link_to_subscribed_fulltext | - |
dc.identifier.doi | 10.23919/IPEC.2018.8507669 | - |
dc.identifier.scopus | eid_2-s2.0-85057340430 | - |
dc.identifier.hkuros | 290420 | - |
dc.identifier.spage | 2552 | - |
dc.identifier.epage | 2557 | - |
dc.publisher.place | United States | - |