Algebraic foundation of self adjusting switched capacitors converters

Sam Ben-Yaakov, Alexander Kushnerov

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

64 Scopus citations

Abstract

An algebraic model that describes the operation of binary Switched-Capacitor Converters (SCC) was developed and generalized to any radix case. The proposed approach reduces the power loss by increasing the number of target voltages. In the binary case, the flying capacitors are automatically kept charged to binary weighted voltages and consequently, the resolution of the possible target voltages is binary. The paper presents the underlining theory of the proposed SCC and two new control methods to regulate the output voltage. It is shown that the theoretical formulation of the new number systems can describe many SCC circuits on the market and can help design new SCC with a larger number of target voltages. The theoretical results were verified for the binary case by simulation and experimentally. Excellent agreement was found between the theory and experimental results. The down side of the proposed SCC schemes is the relatively large number of switches which makes the approach more suitable for low power applications.

Original languageEnglish
Title of host publication2009 IEEE Energy Conversion Congress and Exposition, ECCE 2009
Pages1582-1589
Number of pages8
DOIs
StatePublished - 28 Dec 2009
Event2009 IEEE Energy Conversion Congress and Exposition, ECCE 2009 - San Jose, CA, United States
Duration: 20 Sep 200924 Sep 2009

Publication series

Name2009 IEEE Energy Conversion Congress and Exposition, ECCE 2009

Conference

Conference2009 IEEE Energy Conversion Congress and Exposition, ECCE 2009
Country/TerritoryUnited States
CitySan Jose, CA
Period20/09/0924/09/09

Keywords

  • Binary arithmetic
  • Binary sequences
  • DC-DC power conversion
  • Redundant number systems
  • Resolution
  • Switched capacitor
  • Switched mode power supplies

ASJC Scopus subject areas

  • Energy Engineering and Power Technology
  • Electrical and Electronic Engineering

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