High power density DC-DC converter for home energy management systems

Wilmar Martinez, Shota Kimura, Jun Imaoka, Masayoshi Yamamoto, Kazuhiro Umetani, Seikoh Arimura, Tetsuo Hirano

Research output: Chapter in Book/Report/Conference proceedingConference contribution

11 Citations (Scopus)

Abstract

Environmental issues related to global warming and resources dryness, increase the global concern for reducing the energy consumption using high efficiency and high power density systems. Therefore, home energy management systems (HEMS) deal with these problems by monitoring and controlling the power consumption of home electronics. However, expanding of human living space increases intense requirements to downsize electronic systems. In order to enhance HEMS and optimize the household living space, this paper shows the design and power loss analysis of a high power density DC-DC converter capable to achieve high efficiency with low weight and low volume components. This converter, developed for home electronics and electric vehicles, uses a novel magnetic coupling technique capable to reduce the size of magnetic components and of the converter itself. As a result, a 1 kW interleaved boost converter with integrated winding coupled inductors (IWCI) was designed and experimentally validated obtaining a volumetric power density of 145 cc/kW.

Original languageEnglish
Title of host publicationProceedings of 2014 International Conference on Intelligent Green Building and Smart Grid, IGBSG 2014
PublisherIEEE Computer Society
ISBN (Print)9781467361231
DOIs
Publication statusPublished - 2014
Event1st International Conference on Intelligent Green Building and Smart Grid, IGBSG 2014 - Taipei, Taiwan, Province of China
Duration: Apr 23 2014Apr 25 2014

Publication series

NameProceedings of 2014 International Conference on Intelligent Green Building and Smart Grid, IGBSG 2014

Other

Other1st International Conference on Intelligent Green Building and Smart Grid, IGBSG 2014
CountryTaiwan, Province of China
CityTaipei
Period4/23/144/25/14

All Science Journal Classification (ASJC) codes

  • Artificial Intelligence
  • Architecture

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