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

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

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

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.

Original languageEnglish
Title of host publicationProceedings of 2019 SICE International Symposium on Control Systems, SICE ISCS 2019
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages72-77
Number of pages6
ISBN (Electronic)9784907764623
DOIs
Publication statusPublished - 2019 Mar
Event2019 SICE International Symposium on Control Systems, SICE ISCS 2019 - Kumamoto, Japan
Duration: 2019 Mar 72019 Mar 9

Publication series

NameProceedings 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

Keywords

  • Finite-time estimation error convergence
  • Impulsive observer
  • State-of-charge estimation

ASJC Scopus subject areas

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

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    Hattaha, K., Ono, T., Sasaki, R., Osamura, K., & Adachi, S. (2019). State-of-Charge Estimation of Rechargeable Batteries guaranteed Finite-Time Estimation Error Convergence. In Proceedings of 2019 SICE International Symposium on Control Systems, SICE ISCS 2019 (pp. 72-77). [8758718] (Proceedings of 2019 SICE International Symposium on Control Systems, SICE ISCS 2019). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.23919/SICEISCS.2019.8758718