TY - JOUR
T1 - Modeling and state-of-charge estimation of supercapacitor considering leakage effect
AU - Saha, Pankaj
AU - Dey, Satadru
AU - Khanra, Munmun
N1 - Funding Information:
Manuscript received April 4, 2018; revised September 11, 2018 and November 28, 2018; accepted January 12, 2019. Date of publication February 11, 2019; date of current version August 30, 2019. This work was supported in part by the Department of Science and Technology (Science for Equity Empowerment and Development Division), India, under Scheme for Young Scientists & Technologists (Ref. SP/YO/054/2016). (Corresponding author: Pankaj Saha.) P. Saha and M. Khanra are with the Department of Electronics and Instrumentation Engineering, National Institute of Technology Silchar, Silchar 788010, India (e-mail:, [email protected]; [email protected]).
Publisher Copyright:
© 1982-2012 IEEE.
PY - 2020
Y1 - 2020
N2 - Supercapacitors are receiving significant interest in wireless sensor network applications due to their high power density and longer lifespan. In such applications, consideration of the leakage effect is crucial for online control and management of supercapacitors. Motivated by this fact, in this paper we propose an online scheme to estimate the state-of-charge (SOC) of supercapacitors, taking the leakage effect into account. First, we propose a completely observable equivalent circuit model (ECM) of a supercapacitor, which captures the leakage effect. Then, we design an unscented-Kalman-filter-based SOC estimator on the proposed ECM. To illustrate the proposed scheme, we consider a commercially available 5 F supercapacitor (Maxwell BCAP0005) and conduct experimental studies to identify the ECM parameters. We also perform simulation and experimental studies to test the effectiveness of the proposed estimation scheme, in this paper. Finally, we evaluate the robustness of the proposed scheme under parametric and measurement uncertainties.
AB - Supercapacitors are receiving significant interest in wireless sensor network applications due to their high power density and longer lifespan. In such applications, consideration of the leakage effect is crucial for online control and management of supercapacitors. Motivated by this fact, in this paper we propose an online scheme to estimate the state-of-charge (SOC) of supercapacitors, taking the leakage effect into account. First, we propose a completely observable equivalent circuit model (ECM) of a supercapacitor, which captures the leakage effect. Then, we design an unscented-Kalman-filter-based SOC estimator on the proposed ECM. To illustrate the proposed scheme, we consider a commercially available 5 F supercapacitor (Maxwell BCAP0005) and conduct experimental studies to identify the ECM parameters. We also perform simulation and experimental studies to test the effectiveness of the proposed estimation scheme, in this paper. Finally, we evaluate the robustness of the proposed scheme under parametric and measurement uncertainties.
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U2 - 10.1109/TIE.2019.2897506
DO - 10.1109/TIE.2019.2897506
M3 - Article
AN - SCOPUS:85067259558
SN - 0278-0046
VL - 67
SP - 350
EP - 357
JO - IEEE Transactions on Industrial Electronics
JF - IEEE Transactions on Industrial Electronics
IS - 1
M1 - 8638851
ER -