TY - GEN
T1 - State-of-Charge Estimation of Rechargeable Batteries guaranteed Finite-Time Estimation Error Convergence
AU - Hattaha, Kenichi
AU - Ono, Tetsuho
AU - Sasaki, Risako
AU - Osamura, Kensuke
AU - Adachi, Shuichi
N1 - Publisher Copyright:
© 2019 The Society of Instrument and Control Engineers - SICE.
PY - 2019/3
Y1 - 2019/3
N2 - 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.
AB - 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.
KW - Finite-time estimation error convergence
KW - Impulsive observer
KW - State-of-charge estimation
UR - http://www.scopus.com/inward/record.url?scp=85069792815&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85069792815&partnerID=8YFLogxK
U2 - 10.23919/SICEISCS.2019.8758718
DO - 10.23919/SICEISCS.2019.8758718
M3 - Conference contribution
AN - SCOPUS:85069792815
T3 - Proceedings of 2019 SICE International Symposium on Control Systems, SICE ISCS 2019
SP - 72
EP - 77
BT - Proceedings of 2019 SICE International Symposium on Control Systems, SICE ISCS 2019
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2019 SICE International Symposium on Control Systems, SICE ISCS 2019
Y2 - 7 March 2019 through 9 March 2019
ER -