State-of-Charge Estimation of Rechargeable Batteries guaranteed Finite-Time Estimation Error Convergence

Kenichi Hattaha, Tetsuho Ono, Risako Sasaki, Kensuke Osamura, Shuichi Adachi

研究成果: Conference contribution

抄録

We propose a model-based state-of-charge (SOC) estimation method for rechargeable batteries which guarantees finite-time estimation error convergence. One of the most common approaches for the SOC estimation based on equivalent circuit model is to utilize the Kalman filter. The method has an asymptotic convergence property. From the practical standpoint, however, an estimation method that guarantees a finite-time estimation error convergence is desired. To this end, we employ the impulsive observer which achieves the finite-time estimation error convergence with the exact model. Furthermore, we analize the bounds of estimation errors in the case that the model used in the impulsive observer has errors. Finally, 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Proceedings of 2019 SICE International Symposium on Control Systems, SICE ISCS 2019
出版社Institute of Electrical and Electronics Engineers Inc.
ページ72-77
ページ数6
ISBN(電子版)9784907764623
DOI
出版ステータスPublished - 2019 3
イベント2019 SICE International Symposium on Control Systems, SICE ISCS 2019 - Kumamoto, Japan
継続期間: 2019 3 72019 3 9

出版物シリーズ

名前Proceedings of 2019 SICE International Symposium on Control Systems, SICE ISCS 2019

Conference

Conference2019 SICE International Symposium on Control Systems, SICE ISCS 2019
CountryJapan
CityKumamoto
Period19/3/719/3/9

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Electrical and Electronic Engineering
  • Mechanical Engineering
  • Control and Optimization

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