Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/81592
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dc.contributor.authorAung, Hteten
dc.contributor.authorLow, Kay Soonen
dc.date.accessioned2016-01-05T02:45:14Zen
dc.date.accessioned2019-12-06T14:34:30Z-
dc.date.available2016-01-05T02:45:14Zen
dc.date.available2019-12-06T14:34:30Z-
dc.date.issued2015en
dc.identifier.citationAung, H., & Low, K. S. (2015). Temperature dependent state-of-charge estimation of lithium ion battery using dual spherical unscented Kalman filter. IET Power Electronics, 8(10), 2026-2033.en
dc.identifier.issn1755-4535en
dc.identifier.urihttps://hdl.handle.net/10356/81592-
dc.description.abstractAccurate and reliable state-of-charge (SOC) estimation is an important task for battery management system in a satellite. Ambient temperature is one of the significant factors that affect SOC estimation. Since satellite operates at different temperatures throughout the orbit, it must be taken care of accordingly to safeguard the battery performance and reliability. Moreover, SOC estimation depends on battery model accuracy as well. The battery parameters are affected by temperature, SOC, charging and discharging rates. Hence, the parameters need to be updated accordingly to improve the battery model and the SOC estimation accuracy. In this study, a SOC estimation method and online parameter updating using a dual square root unscented Kalman filter based on unit spherical unscented transform is proposed. The proposed method has been validated experimentally and the results are compared with extended Kalman filter and unscented Kalman filter based on unit spherical unscented transform. Experimental results have shown that the proposed method has better performance in terms of lower root mean square error and absolute maximum error.en
dc.format.extent9 p.en
dc.language.isoenen
dc.relation.ispartofseriesIET Power Electronicsen
dc.rights© 2015 Institution of Engineering and Technology (IET). This is the author created version of a work that has been peer reviewed and accepted for publication by IET Power Electronics, Institution of Engineering and Technology (IET). It incorporates referee’s comments but changes resulting from the publishing process, such as copyediting, structural formatting, may not be reflected in this document. The published version is available at: [http://dx.doi.org/10.1049/iet-pel.2014.0863].en
dc.subjectBattery management sytemsen
dc.titleTemperature dependent state-of-charge estimation of lithium ion battery using dual spherical unscented Kalman filteren
dc.typeJournal Articleen
dc.contributor.schoolSchool of Electrical and Electronic Engineeringen
dc.identifier.doi10.1049/iet-pel.2014.0863en
dc.description.versionAccepted versionen
item.fulltextWith Fulltext-
item.grantfulltextopen-
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