지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
초록· 키워드
오류제보하기
This paper presents a new state of charge(SOC) estimation of large capacity of Li-ion battery (LIB) based on the multiple model adaptive estimation(MMAE) method. We first introduce an equivalent circuit model of LIB. The relationship between the terminal voltage and the open circuit voltage(OCV) is nonlinear and may vary depending on the changes of temperature and C-rate. In this paper, such behaviors are described as a set of multiple linear time invariant impedance models. Each model is identified at a temperature and a C-rate. These model set must be obtained a priori for a given LIB. It is shown that most of impedances can be modeled by first-order and second-order transfer functions. For the real time estimation, we transform the continuous time models into difference equations. Subsequently, we construct the model banks in the manner that each bank consists of four adjacent models. When an operating point of cell temperature and current is given, the corresponding model bank is directly determined so that it is included in the interval generated by four operating points of the model bank. The MMAE of SOC at an arbitrary operating point (T ℃, I<SUB>bat</SUB>[A]) is performed by calculating a linear combination of voltage drops, which are obtained by four models of the selected model bank. The demonstration of the proposed method is shown through simulations using DUALFOIL.
목차
Abstract
1. 서론
2. 다중모델적응추정기법을 이용한 SOC 추정
3. 시뮬레이션
4. 결론
감사의 글
참고문헌
부록
저자소개
참고문헌 (9)
참고문헌 신청
C.C.Chan / 2002 / The state of the art of electric and hybrid vehicles / Proc. of the IEEE 90:247~275
P. Albertus / Introduction to Dualfoil 5.0
V. Pop / 2008 / Battery Management Systems / Springer
G.L.Plett / 2004 / Extended Kalman filtering for battery management systems of LiPB-based HEV battery packs Part 2.Modeling and identification / J. of Power Sources 134:262~276
P. Rong / 2006 / An Analytical Model for Predicting the Remaining Battery Capacity of Lithium-Ion Batterries / IEEE Trans .VLSI Systems 14(5):441~451
P. Albertus / Introduction to Dualfoil 5.0
V. Pop / 2008 / Battery Management Systems / Springer
G.L.Plett / 2004 / Extended Kalman filtering for battery management systems of LiPB-based HEV battery packs Part 2.Modeling and identification / J. of Power Sources 134:262~276
P. Rong / 2006 / An Analytical Model for Predicting the Remaining Battery Capacity of Lithium-Ion Batterries / IEEE Trans .VLSI Systems 14(5):441~451
이 논문의 저자 정보
이 논문과 함께 이용한 논문
리튬이온전지의 SOH 추정을 위한 임피던스 특성 해석
김민수
,
김영철
정보 및 제어 논문집
2012
.10
SPKF를 이용한 리튬 폴리머 배터리(LiPB)의 충전 상태(SOC) 관측
서보환
,
이동춘
,
이교범
외 1명
전력전자학회 학술대회 논문집
2011
.07
LabVIEW를 이용한 배터리 SOC 추정을 위한 칼만 필터링 연구
장기욱
,
정교범
한국조명·전기설비학회 학술대회논문집
2010
.09
다중 모델을 이용한 리튬이온 배터리의 실시간 잔존용량 추정
정해봉
,
김영철
,
이용상
대한전기학회 학술대회 논문집
2010
.07
스크리닝에 기반한 배터리 팩의 SOC 추정연구
김종훈
,
신종원
,
전창윤
외 1명
전력전자학회 학술대회 논문집
2010
.07
최근 본 자료
댓글(0)
0
UCI(KEPA) : I410-ECN-0101-2012-560-003795559