Online equivalent series resistance estimation method for condition monitoring of DC-link capacitors

In this paper, a cost-effective and reliable equivalent series resistance (ESR) estimation method for aluminium electrolytic capacitors used as DC-link capacitors in front-end rectifier fed inverters is proposed. The proposed method is based on the extraction of switching frequency components of DC-...

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Main Authors: Sundararajan Prasanth, Mohamed Halick Mohamed Sathik, Firman Sasongko, Tan, Chuan Seng, Mohd Tariq, Rejeki Simanjorang
Other Authors: School of Electrical and Electronic Engineering
Format: Conference or Workshop Item
Language:English
Published: 2018
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Online Access:https://hdl.handle.net/10356/88594
http://hdl.handle.net/10220/44698
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-885942020-03-07T13:24:45Z Online equivalent series resistance estimation method for condition monitoring of DC-link capacitors Sundararajan Prasanth Mohamed Halick Mohamed Sathik Firman Sasongko Tan, Chuan Seng Mohd Tariq Rejeki Simanjorang School of Electrical and Electronic Engineering 2017 IEEE Energy Conversion Congress and Exposition Rolls-Royce@NTU Corporate Lab Band-pass Filters ESR Estimation In this paper, a cost-effective and reliable equivalent series resistance (ESR) estimation method for aluminium electrolytic capacitors used as DC-link capacitors in front-end rectifier fed inverters is proposed. The proposed method is based on the extraction of switching frequency components of DC-link voltage and current using band-pass filters. A limiting value of switching frequency is identified, below which a new solution is proposed to achieve higher accuracy compared to the similar methods using band-pass filters. The proposed method is verified by both simulation and experimental results and it is shown that the estimation error is very low so that this method can be used for condition monitoring of DC-link capacitors. NRF (Natl Research Foundation, S’pore) Accepted version 2018-04-20T05:13:52Z 2019-12-06T17:06:50Z 2018-04-20T05:13:52Z 2019-12-06T17:06:50Z 2017-11-01 2017 Conference Paper Prasanth, S., Mohamed Sathik, M. H., Sasgonko, F., Tan, C. S., Mohd Tariq, & Simanjorang, R. (2017, October). Online equivalent series resistance estimation method for condition monitoring of DC-link capacitors. Paper presented at 2017 IEEE Energy Conversion Congress and Exposition, Cincinnati, OH, USA. https://hdl.handle.net/10356/88594 http://hdl.handle.net/10220/44698 10.1109/ECCE.2017.8096009 205869 en © 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. The published version is available at: [http://dx.doi.org/10.1109/ECCE.2017.8096009]. 8 p. application/pdf
institution Nanyang Technological University
building NTU Library
country Singapore
collection DR-NTU
language English
topic Band-pass Filters
ESR Estimation
spellingShingle Band-pass Filters
ESR Estimation
Sundararajan Prasanth
Mohamed Halick Mohamed Sathik
Firman Sasongko
Tan, Chuan Seng
Mohd Tariq
Rejeki Simanjorang
Online equivalent series resistance estimation method for condition monitoring of DC-link capacitors
description In this paper, a cost-effective and reliable equivalent series resistance (ESR) estimation method for aluminium electrolytic capacitors used as DC-link capacitors in front-end rectifier fed inverters is proposed. The proposed method is based on the extraction of switching frequency components of DC-link voltage and current using band-pass filters. A limiting value of switching frequency is identified, below which a new solution is proposed to achieve higher accuracy compared to the similar methods using band-pass filters. The proposed method is verified by both simulation and experimental results and it is shown that the estimation error is very low so that this method can be used for condition monitoring of DC-link capacitors.
author2 School of Electrical and Electronic Engineering
author_facet School of Electrical and Electronic Engineering
Sundararajan Prasanth
Mohamed Halick Mohamed Sathik
Firman Sasongko
Tan, Chuan Seng
Mohd Tariq
Rejeki Simanjorang
format Conference or Workshop Item
author Sundararajan Prasanth
Mohamed Halick Mohamed Sathik
Firman Sasongko
Tan, Chuan Seng
Mohd Tariq
Rejeki Simanjorang
author_sort Sundararajan Prasanth
title Online equivalent series resistance estimation method for condition monitoring of DC-link capacitors
title_short Online equivalent series resistance estimation method for condition monitoring of DC-link capacitors
title_full Online equivalent series resistance estimation method for condition monitoring of DC-link capacitors
title_fullStr Online equivalent series resistance estimation method for condition monitoring of DC-link capacitors
title_full_unstemmed Online equivalent series resistance estimation method for condition monitoring of DC-link capacitors
title_sort online equivalent series resistance estimation method for condition monitoring of dc-link capacitors
publishDate 2018
url https://hdl.handle.net/10356/88594
http://hdl.handle.net/10220/44698
_version_ 1681040659209781248