State-of-charge estimation of rechargeable battery with hysteresis characteristics using robust gain-scheduled observer

Kenichi Hattaha, Masaki Inoue, Takahiro Kawaguchi, Kensuke Osamura, Shuichi Adachi

研究成果: Conference contribution

抄録

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.

本文言語English
ホスト出版物のタイトル1st Annual IEEE Conference on Control Technology and Applications, CCTA 2017
出版社Institute of Electrical and Electronics Engineers Inc.
ページ933-938
ページ数6
ISBN(電子版)9781509021826
DOI
出版ステータスPublished - 2017 10 6
イベント1st Annual IEEE Conference on Control Technology and Applications, CCTA 2017 - Kohala Coast, United States
継続期間: 2017 8 272017 8 30

出版物シリーズ

名前1st Annual IEEE Conference on Control Technology and Applications, CCTA 2017
2017-January

Other

Other1st Annual IEEE Conference on Control Technology and Applications, CCTA 2017
国/地域United States
CityKohala Coast
Period17/8/2717/8/30

ASJC Scopus subject areas

  • 理論的コンピュータサイエンス
  • ハードウェアとアーキテクチャ
  • ソフトウェア
  • 制御およびシステム工学

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