Comparative study between High gain observer and Extended Kalman filter for supercapacitor state of health estimation

被引：4

作者：

Hammou, Abdelilah ^{[1
]}

Gualous, Hamid ^{[1
]}

机构：

[1] Univ Caen Normandy, LUSAC Lab, St Lo, France

来源：

2021 9TH INTERNATIONAL CONFERENCE ON SYSTEMS AND CONTROL (ICSC'21) | 2021年

关键词：

Supercpacitors; Observer; State of health; High gain observer; Extended Kalman filter; electrical vehicle; BATTERIES; DIAGNOSIS; DESIGN;

D O I：

10.1109/ICSC50472.2021.9666742

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

The state of health of electrical double layer capacitors (EDLCs) has an important role on the determination of the performance and the safety of an electrical vehicle. The degradation of these components is usually correlated with the evolution of their internal resistance, and their capacitance. Therefore, the estimation of these two parameters is necessary to predict the state of health (SoH) of supercapacitors and to ensure their operational safety in vehicular application. This paper presents a comparative study of supercapacitor parameters estimation between High Gain Observer (HGO) and Extended Kalman Filter (EKF). The performance of each algorithm is evaluated based on the accuracy of solution and convergence speed through simulation and experimental results.

引用

页码：332 / 337

页数：6

共 50 条

[1] A Comparative Study of Extended Kalman Filter and an Optimal Nonlinear Observer for State Estimation
Valibeygi, Amir
Balaghi, M. Hadi, I
Vijayaraghavan, Krishna
[J]. 2017 AMERICAN CONTROL CONFERENCE (ACC), 2017, : 5211 - 5216
[2] Comparative Performance Analysis of Extended Kalman Filter and Neural Observer for State Estimation of Continuous Stirred Tank Reactor
Geetha, M.
Jerome, Jovitha
Kumar, Arun P.
Anadhan, Karthik
[J]. 2013 FOURTH INTERNATIONAL CONFERENCE ON COMPUTING, COMMUNICATIONS AND NETWORKING TECHNOLOGIES (ICCCNT), 2013,
[3] Extended high gain observer design for state and parameter estimation
Farza, M.
Menard, T.
Ltaief, A.
Maatoug, T.
M'Saadl, M.
Koubaa, Y.
[J]. 2015 4TH INTERNATIONAL CONFERENCE ON SYSTEMS AND CONTROL (ICSC), 2015, : 345 - 350
[4] A Comparison between State of Charge Estimation Methods: Extended Kalman Filter and Unscented Kalman Filter
Ilies, Adelina Ioana
Chindris, Gabriel
Pitica, Dan
[J]. 2020 IEEE 26TH INTERNATIONAL SYMPOSIUM FOR DESIGN AND TECHNOLOGY IN ELECTRONIC PACKAGING (SIITME 2020), 2020, : 376 - 381
[5] Kalman filter, particle filter, and extended state observer for linear state estimation under perturbation (or noise) of MHTGR
Hui, Jiuwu
Yuan, Jingqi
[J]. Progress in Nuclear Energy, 2022, 148
[6] Kalman filter, particle filter, and extended state observer for linear state estimation under perturbation (or noise) of MHTGR
Hui, Jiuwu
Yuan, Jingqi
[J]. PROGRESS IN NUCLEAR ENERGY, 2022, 148
[7] A Comparative Study of Extended Kalman Filter and H∞ Filtering For State Estimation of Stewart Platform Manipulator
Maged, Shady A.
Abouelsoud, A. A.
El Bab, Ahmed M. R. Fath
Namerikawa, Toru
[J]. 2016 55TH ANNUAL CONFERENCE OF THE SOCIETY OF INSTRUMENT AND CONTROL ENGINEERS OF JAPAN (SICE), 2016, : 1727 - 1732
[8] EXTENDED KALMAN FILTER FOR MMS STATE ESTIMATION
Thienel, Julie K.
Markley, F. Landis
Harman, Richard R.
[J]. SPACEFLIGHT MECHANICS 2009, VOL 134, PTS I-III, 2009, 134 : 1513 - +
[9] High-Speed Induction Motor State Observer Based on an Extended Kalman Filter
Kolpakhchyan, Pavel G.
Kochin, Alexander E.
Lobov, Boris N.
Podbereznaya, Margarita S.
Shaikhiev, Alexey R.
[J]. PROCEEDINGS OF THE FOURTH INTERNATIONAL SCIENTIFIC CONFERENCE INTELLIGENT INFORMATION TECHNOLOGIES FOR INDUSTRY (IITI'19), 2020, 1156 : 633 - 644
[10] A Performance Comparison Between Extended Kalman Filter and Unscented Kalman Filter in Power System Dynamic State Estimation
Khazraj, Hesam
da Silva, F. Faria
Bak, Claus Leth
[J]. 2016 51ST INTERNATIONAL UNIVERSITIES POWER ENGINEERING CONFERENCE (UPEC), 2016,

← 1 2 3 4 5 →