A ripple reduction method for a two stages battery charger with multi-winding transformer using notch filter

Haimeng Wu, Volker Pickert, Simon Lambert, Peter Allanf, Xu Deng, Huaxia Zhan

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Citation (Scopus)
5 Downloads (Pure)

Abstract

This paper presents a two-stage battery charger consisting of a bridgeless Totem-pole power factor correction (TP-PFC) circuit and a full bridge converter with a multi-winding transformer. By using this transformer the cell equalizing operation can be achieved with no additional circuitry. In addition, a double-line frequency ripple reduction method is proposed to address the low frequency current ripples issues existing in both primary and secondary winding of the transformer which is caused by the voltage ripples across the intermediate DC link bus. Control and analysis of the converter at different operation modes is illustrated in detail and simulation results validate the effectiveness of the proposed converter and control algorithm.

Original languageEnglish
Title of host publication2017 IEEE 12th International Conference on Power Electronics and Drive Systems, PEDS 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1101-1106
Number of pages6
ISBN (Electronic)9781509023646
DOIs
Publication statusPublished - 12 Dec 2017
Externally publishedYes
Event12th IEEE International Conference on Power Electronics and Drive Systems, PEDS 2017 - Honolulu, United States
Duration: 12 Dec 201715 Dec 2017

Publication series

NameProceedings of the International Conference on Power Electronics and Drive Systems
Volume2017-December
ISSN (Print)2164-5256
ISSN (Electronic)2164-5264

Conference

Conference12th IEEE International Conference on Power Electronics and Drive Systems, PEDS 2017
CountryUnited States
CityHonolulu
Period12/12/1715/12/17

Fingerprint

Dive into the research topics of 'A ripple reduction method for a two stages battery charger with multi-winding transformer using notch filter'. Together they form a unique fingerprint.

Cite this