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전류적산법과 OCV 방법을 결합한 Li-Ion 배터리의 충전상태 추정
State of Charge Estimation of Li-Ion Battery Based on CIM and OCV Using Extended Kalman Filter
- 박정호;
- 차왕철;
- 조욱래;
- 김재철
초록
The Estimation of State of Charge(SOC) for batteries is an important aspect of a Battery Management System(BMS). A method for estimating the SOC is proposed in order to overcome the individual disadvantages of the current integral and Open Circuit Voltage(OCV) estimation methods by combining them using Extended Kalman filter(EKF). The non-linear characteristics of the Li-Ion RC battery model used in this study is also solved through EKF. The proposed method is simulated in a Matlab environment with a Li-Ion Kokam battery (3.7V, 1,500mAh). Results showed that there is an improvement in the estimation error when using the proposed model compared to the conventional current integral method.
키워드
Li-Ion Battery; State of Charge; Open Circuit Voltage; Current Integral Method; Extended Kalman Filter; Parameter Tracking
- 제목
- 전류적산법과 OCV 방법을 결합한 Li-Ion 배터리의 충전상태 추정
- 제목 (타언어)
- State of Charge Estimation of Li-Ion Battery Based on CIM and OCV Using Extended Kalman Filter
- 저자
- 박정호; 차왕철; 조욱래; 김재철
- 발행일
- 2014-11
- 저널명
- 조명.전기설비학회논문지
- 권
- 28
- 호
- 11
- 페이지
- 77 ~ 83
- 언어
- KOR
- 출판사
- 한국조명.전기설비학회
- 발행국가
- 대한민국
- 분량
- 7 페이지
- ISSN
- P 1229-4691