조명전기설비학회논문지 (Journal of the Korean Institute of Illuminating and Electrical Installation Engineers)

한국조명전기설비학회 (The Korean Institute of IIIuminating and Electrical Installation Engineers)
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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

  • 투고 : 2014.08.25
  • 심사 : 2014.09.29
  • 발행 : 2014.11.28
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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.

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참고문헌

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피인용 문헌

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