Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/139328
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dc.contributor.authorWei, Zhongbaoen_US
dc.contributor.authorXiong, Ruien_US
dc.contributor.authorLim, Tuti Marianaen_US
dc.contributor.authorMeng, Shujuanen_US
dc.contributor.authorSkyllas-Kazacos, Mariaen_US
dc.date.accessioned2020-05-19T01:59:05Z-
dc.date.available2020-05-19T01:59:05Z-
dc.date.issued2018-
dc.identifier.citationWei, 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.2018.09.028en_US
dc.identifier.issn0378-7753en_US
dc.identifier.urihttps://hdl.handle.net/10356/139328-
dc.description.abstractAccurate 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.en_US
dc.language.isoenen_US
dc.relation.ispartofJournal of Power Sourcesen_US
dc.rights© 2018 Elsevier B.V. All rights reserved.en_US
dc.subjectEngineering::Civil engineeringen_US
dc.titleOnline monitoring of state of charge and capacity loss for vanadium redox flow battery based on autoregressive exogenous modelingen_US
dc.typeJournal Articleen
dc.contributor.schoolSchool of Civil and Environmental Engineeringen_US
dc.contributor.researchEnergy Research Institute @ NTU (ERI@N)en_US
dc.identifier.doi10.1016/j.jpowsour.2018.09.028-
dc.identifier.scopus2-s2.0-85053564103-
dc.identifier.volume402en_US
dc.identifier.spage252en_US
dc.identifier.epage262en_US
dc.subject.keywordsVanadium Redox Flow Batteryen_US
dc.subject.keywordsState of Chargeen_US
item.fulltextNo Fulltext-
item.grantfulltextnone-
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