Comparative Study on Front-End Parameter Identification Methods for Wireless Power Transfer Without Wireless Communication Systems

Sinan Li; S. Y. Ron Hui

Comparative Study on Front-End Parameter Identification Methods for Wireless Power Transfer Without Wireless Communication Systems

Sinan Li
, S. Y. Ron Hui

Department of Electronic & Electrical Engineering

University of Hong Kong

Research output: Chapter or section in a book/report/conference proceeding › Chapter in a published conference proceeding

12 Citations (SciVal)

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.

Original language	English
Title of host publication	2018 International Power Electronics Conference
Publisher	IEEE
Pages	2552-2557
Number of pages	6
ISBN (Electronic)	978-4-88686-403-1
Publication status	E-pub ahead of print - 25 Oct 2018

Cite this

@inproceedings{6797ab24e5124262b85a7c62f260acbb,

title = "Comparative Study on Front-End Parameter Identification Methods for Wireless Power Transfer Without Wireless Communication Systems",

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.",

author = "Sinan Li and Hui, \{S. Y. Ron\}",

year = "2018",

month = oct,

day = "25",

language = "English",

pages = "2552--2557",

booktitle = "2018 International Power Electronics Conference",

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TY - GEN

T1 - Comparative Study on Front-End Parameter Identification Methods for Wireless Power Transfer Without Wireless Communication Systems

AU - Li, Sinan

AU - Hui, S. Y. Ron

PY - 2018/10/25

Y1 - 2018/10/25

N2 - 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.

AB - 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.

UR - https://ieeexplore.ieee.org/abstract/document/8507669/

M3 - Chapter in a published conference proceeding

SP - 2552

EP - 2557

BT - 2018 International Power Electronics Conference

PB - IEEE

ER -

Comparative Study on Front-End Parameter Identification Methods for Wireless Power Transfer Without Wireless Communication Systems

Abstract

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