Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/139328
Title: Online monitoring of state of charge and capacity loss for vanadium redox flow battery based on autoregressive exogenous modeling
Authors: Wei, Zhongbao
Xiong, Rui
Lim, Tuti Mariana
Meng, Shujuan
Skyllas-Kazacos, Maria
Keywords: Engineering::Civil engineering
Issue Date: 2018
Source: Wei, Z., Xiong, R., Lim, T. M., Meng, S., & Skyllas-Kazacos, M. (2018). Online monitoring of state of charge and capacity loss for vanadium redox flow battery based on autoregressive exogenous modeling. Journal of Power Sources, 402, 252-262. doi:10.1016/j.jpowsour.2018.09.028
Journal: Journal of Power Sources
Abstract: Accurate monitoring of state of charge (SOC) and capacity loss is critical for the management of vanadium redox flow battery (VRB) system. This paper proposes a novel autoregressive exogenous model for the vanadium redox flow battery, based on which the model-based monitoring of state of charge and capacity loss is investigated. The offline parameterization based on genetic algorithm and the online parameterization based on recursive least squares are investigated for the proposed model to compare the model accuracy and robustness. Leveraging the parameterized model, an H-infinity observer is exploited to estimate the battery state of charge and capacity in real time. Experimental results suggest that the proposed autoregressive exogenous model can accurately simulate the dynamic behavior of vanadium redox flow battery. Compared with the offline model based method, the observer based on online adaptive model is superior in terms of the accuracy of modeling, state of charge estimation and capacity loss monitoring. The proposed method is also verified with high robustness to the uncertain algorithmic initialization, electrolyte imbalance, and the change of system design and work conditions.
URI: https://hdl.handle.net/10356/139328
ISSN: 0378-7753
DOI: 10.1016/j.jpowsour.2018.09.028
Rights: © 2018 Elsevier B.V. All rights reserved.
Fulltext Permission: none
Fulltext Availability: No Fulltext
Appears in Collections:ERI@N Journal Articles

SCOPUSTM   
Citations 50

10
checked on Aug 31, 2020

WEB OF SCIENCETM
Citations 50

10
checked on Sep 28, 2020

Page view(s) 50

17
checked on Sep 30, 2020

Google ScholarTM

Check

Altmetric


Plumx

Items in DR-NTU are protected by copyright, with all rights reserved, unless otherwise indicated.