scispace - formally typeset
S

Sang Hee Kang

Researcher at University of Colorado Boulder

Publications -  4
Citations -  146

Sang Hee Kang is an academic researcher from University of Colorado Boulder. The author has contributed to research in topics: Flyback converter & Flyback transformer. The author has an hindex of 4, co-authored 4 publications receiving 136 citations.

Papers
More filters
Journal ArticleDOI

Efficiency Optimization in Digitally Controlled Flyback DC–DC Converters Over Wide Ranges of Operating Conditions

TL;DR: In this article, a lookup table-based digital controller is applied to achieve on-line efficiency optimization by programming switching frequencies and operating modes based on the efficiency optimization processes, which is verified by experimental results on a low cost 65 W flyback dc-dc prototype.
Proceedings ArticleDOI

Efficiency characterization and optimization in flyback DC-DC converters

TL;DR: In this article, the authors present efficiency characterization and optimization in conventional flyback DC-DC converters over wide ranges of operating conditions based on power loss modeling and multi-variable nonlinear constrained optimization over design parameters and controller parameters.
Proceedings ArticleDOI

On-line efficiency optimization in flyback dc-dc converters over wide ranges of operating conditions

TL;DR: In this article, a look-up table based digital control approach to on-line efficiency optimization over wide ranges of operating conditions is presented, where a flyback dc-dc converter adopts valley switching in discontinuous conduction mode (DCM) to reduce the MOSFET turn-on switching loss.
Proceedings ArticleDOI

Simplified sensing and A/D conversion for digitally controlled flyback DC-DC converters with on-line efficiency optimization

TL;DR: In this paper, simplified sensing and analog-to-digital (A/D) conversion techniques are presented for low-cost, low-pin-count controller implementation for digitally controlled flyback DC-DC converters with on-line efficiency optimization.