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
학술대회자료
저자정보
Nguyen Ngoc Nam (SeoulTech) Ngoc Duc Nguyen (SeoulTech) Young Il Lee (SeoulTech)
저널정보
제어로봇시스템학회 제어로봇시스템학회 국제학술대회 논문집 ICCAS 2024
발행연도
2024.10
수록면
344 - 349 (6page)

이용수

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

초록· 키워드

오류제보하기
This paper provides a method to obtain the optimal extended phase shift (EPS) modulation for a dual active bridge (DAB) DC/DC converter to achieve minimum backflow power and ensure zero-voltage switching (ZVS) conditions. Firstly, the formulation of the transmission power and backflow power equations for the DAB converter under EPS modulation is established. The backflow power, which significantly impacts the converter’s efficiency, is analyzed and minimized by adjusting the phase shift parameters. Subsequently, by defining the backflow power as the objective function, the Karush-Kuhn-Tucker (KKT) conditions are employed to derive optimal modulation parameters that minimize power losses and enhance efficiency. The main contribution of this work is the establishment of a set of conditions that not only minimize backflow power but also guarantee ZVS across a wide operating range. This dual optimization approach ensures that the converter operates efficiently and reliably, reducing power losses and improving overall performance. Finally, simulation results validate the theoretical findings, demonstrating significant reductions in backflow power and confirming the ZVS condition over various load and input voltage conditions. Comparisons with traditional phase shift modulation methods show the superiority of the proposed approach in achieving lower power losses and enhanced converter performance.

목차

Abstract
1. INTRODUCTION
2. LOW-FREQUENCY AVERAGE POWER DAB MODEL
3. ZVS CONDITION AND MINIMUM BACKFLOWPOWER
4. SIMULATION RESULTS
5. CONCLUSIONS
REFERENCES

참고문헌 (0)

참고문헌 신청

함께 읽어보면 좋을 논문

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

최근 본 자료

전체보기

댓글(0)

0