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Family of cascaded high-voltage-gain bidirectional switched-capacitor DC-DC converters

Research output: Chapters, Conference Papers, Creative and Literary WorksRGC 32 - Refereed conference paper (with host publication)peer-review

Abstract

High-voltage-gain step-up DC-DC converters are required for the applications of distributed energy resources (DERs). A family of bidirectional switched-capacitor (SC) converters with high gain ratio of any positive integer are proposed in this paper. These converters are of high efficiency, easy to control, and are with low output voltage ripple of less than 1%. The proposed converters are also capable of delivering bidirectional power, which is a key requirement for the applications with battery storage. A prototype of 9-time SC converter at 20 V input voltage, 100 W output, 75 kHz, is built and tested. Experiment results show that the maximum efficiency of the 9-time SC converter is over 98% without driver's loss and the efficiency over the entire load range between 25 W and 100 W is over 95.5% including the driver's loss. © 2015 IEEE.
Original languageEnglish
Title of host publication2015 IEEE Energy Conversion Congress and Exposition, ECCE 2015
PublisherIEEE
Pages6648-6654
ISBN (Print)9781467371506
DOIs
Publication statusPublished - 27 Oct 2015
Externally publishedYes
Event7th Annual IEEE Energy Conversion Congress and Exposition, ECCE 2015 - Montreal, Canada
Duration: 20 Sept 201524 Sept 2015

Publication series

Name2015 IEEE Energy Conversion Congress and Exposition, ECCE 2015

Conference

Conference7th Annual IEEE Energy Conversion Congress and Exposition, ECCE 2015
PlaceCanada
CityMontreal
Period20/09/1524/09/15

Bibliographical note

Publication details (e.g. title, author(s), publication statuses and dates) are captured on an “AS IS” and “AS AVAILABLE” basis at the time of record harvesting from the data source. Suggestions for further amendments or supplementary information can be sent to [email protected].

Funding

This work is fully supported by the Hong Kong Research Grant Council under GRF project 17207314.

RGC Funding Information

  • RGC-funded

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