TY - GEN
T1 - State-of-charge estimation of rechargeable battery with hysteresis characteristics using robust gain-scheduled observer
AU - Hattaha, Kenichi
AU - Inoue, Masaki
AU - Kawaguchi, Takahiro
AU - Osamura, Kensuke
AU - Adachi, Shuichi
N1 - Publisher Copyright:
© 2017 IEEE.
PY - 2017/10/6
Y1 - 2017/10/6
N2 - In this paper, we consider model-based state-of-charge (SOC) estimation of a rechargeable battery with hysteresis characteristics. A standard approach is to describe the battery system as an approximated linear time-invariant model and to apply a linear estimator such as the robust observer or Kalman filter. However, this cannot achieve sufficient estimation accuracy due to the nonlinearity of the hysteresis characteristics. We propose to describe the battery system as a linear-parameter-varying (LPV) model, which does not require the approximation. Furthermore, parameter uncertainties are taken into account to derive robust gain-scheduled observer design. The effectiveness of the proposed method is illustrated through numerical experiments.
AB - In this paper, we consider model-based state-of-charge (SOC) estimation of a rechargeable battery with hysteresis characteristics. A standard approach is to describe the battery system as an approximated linear time-invariant model and to apply a linear estimator such as the robust observer or Kalman filter. However, this cannot achieve sufficient estimation accuracy due to the nonlinearity of the hysteresis characteristics. We propose to describe the battery system as a linear-parameter-varying (LPV) model, which does not require the approximation. Furthermore, parameter uncertainties are taken into account to derive robust gain-scheduled observer design. The effectiveness of the proposed method is illustrated through numerical experiments.
UR - http://www.scopus.com/inward/record.url?scp=85047606399&partnerID=8YFLogxK
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U2 - 10.1109/CCTA.2017.8062579
DO - 10.1109/CCTA.2017.8062579
M3 - Conference contribution
AN - SCOPUS:85047606399
T3 - 1st Annual IEEE Conference on Control Technology and Applications, CCTA 2017
SP - 933
EP - 938
BT - 1st Annual IEEE Conference on Control Technology and Applications, CCTA 2017
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 1st Annual IEEE Conference on Control Technology and Applications, CCTA 2017
Y2 - 27 August 2017 through 30 August 2017
ER -