메뉴 건너뛰기
.. 내서재 .. 알림
소속 기관/학교 인증
인증하면 논문, 학술자료 등을  무료로 열람할 수 있어요.
한국대학교, 누리자동차, 시립도서관 등 나의 기관을 확인해보세요
(국내 대학 90% 이상 구독 중)
로그인 회원가입 고객센터 ENG
주제분류

추천
검색
질문

논문 기본 정보

자료유형
학술저널
저자정보
Hak-Yun Kim (Chungbuk National University) Myeong-Hak Lee (Silicon Works Co.) Young-Ho Shin (Silicon Works Co.) Jin-Won Kim (Chungbuk National University) Nam-Soo Kim (Chungbuk National University) Ho-Yong Choi (Chungbuk National University)
저널정보
대한전자공학회 JOURNAL OF SEMICONDUCTOR TECHNOLOGY AND SCIENCE Journal of Semiconductor Technology and Science Vol.18 No.4
발행연도
2018.8
수록면
423 - 432 (10page)
DOI
10.5573/JSTS.2018.18.4.423

이용수

표지
📌
연구주제
📖
연구배경
🔬
연구방법
🏆
연구결과
AI에게 요청하기
추천
검색
질문

초록· 키워드

오류제보하기
This paper proposes a dual-mode inverting buck-boost DC-DC converter using a set-time variable PWM (SPWM) method. To obtain high efficiency in all load ranges, this dual-mode converter operates in the PWM mode under heavy load, and in the SPWM method under light load in which the switching frequency of the set-time is modulated in proportion to the load current in the PWM mode. In this PWM-SPWM dual mode, it is possible to realize a small circuit by adding only the additional circuit using a voltage-controlled oscillator which varies the switching frequency under light load, based on the PWM mode. Also, the converter can vary output voltage by changing its reference voltages and has variable maximum and minimum switching frequencies for a number of applications. The converter was fabricated with 0.35 μm standard CMOS process technology and occupies an area of 0.93 mm ´ 0.90 mm. The experimental results show that when the input voltage range is 2.9 V ~ 4.2 V, the circuit produces an output voltage range of -1.0 V ~ - 0.7 V with a ripple voltage of 3 mV and has a power efficiency of 68% ~ 82.1% for a load current of 5 mA ~ 250 mA.

목차

Abstract
I. INTRODUCTION
II. PROPOSED DUAL-MODE INVERTING BUCKBOOST CONVERTER USING PWM-SPWM
III. DUAL-MODE VARIABLE CIRCUITS
IV. IMPLEMENTATION RESULTS
V. CONCLUSIONS
REFERENCES

참고문헌 (16)

참고문헌 신청

함께 읽어보면 좋을 논문

논문 유사도에 따라 DBpia 가 추천하는 논문입니다. 함께 보면 좋을 연관 논문을 확인해보세요!

이 논문의 저자 정보

이 논문과 함께 이용한 논문

최근 본 자료

전체보기

댓글(0)

0

UCI(KEPA) : I410-ECN-0101-2018-569-003336413