The Transactions of the Korean Institute of Power Electronics (전력전자학회논문지)

The Korean Institute of Power Electronics (전력전자학회)
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A SOC Estimation using Kalman Filter for Lithium-Polymer Battery

칼만 필터를 이용한 리튬-폴리머 배터리의 SOC 추정

  • Received : 2012.01.26
  • Accepted : 2012.05.13
  • Published : 2012.06.20
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Abstract

The SOC estimation method based on Kalman Filter(KF) requires the accurate battery model to express the electrical characteristics of the battery. However, the performance of KF SOC estimator can hardly be improved because of the nonlinear characteristic of the battery. This paper proposes the new KF SOC estimator of Lithium-Polymer Battery(LiPB), which considers the variation of parameters based on the hysteresis effect, the magnitude of SOC, the charging/discharging mode and the on/off load conditions. The proposed SOC estimation method is verified with the PSIM simulation combined the experimental data of the LiPB.

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References

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  1. Robust High-Gain Observer Based SOC Estimator for Uncertain RC Model of Li-Ion Batteries vol.23, pp.3, 2013, https://doi.org/10.5391/JKIIS.2013.23.3.214
  2. SOC Observer based on Piecewise Linear Modeling for Lithium-Polymer Battery vol.20, pp.4, 2015, https://doi.org/10.6113/TKPE.2015.20.4.344