dc.contributor.authorChaudhari, Kalpesh
dc.contributor.authorKandasamy, Nandha Kumar
dc.contributor.authorKanamarlapudi, Ravi Kishore
dc.contributor.authorGooi, Hoay Beng
dc.contributor.authorUkil, Abhisek
dc.date.accessioned2018-02-05T02:30:55Z
dc.date.available2018-02-05T02:30:55Z
dc.date.issued2017
dc.identifier.citationChaudhari, K. Kandasamy, N. K., Kanamarlapudi, R. K., Gooi, H. B., & Ukil, A. (2017). Modeling of charging profiles for stationary battery systems using curve fitting approach. 43rd Annual Conference of the IEEE Industrial Electronics Society (IECON 2017), 2777-2781.en_US
dc.identifier.urihttp://hdl.handle.net/10220/44391
dc.description.abstractStationary Battery Systems (SBS) are becoming a critical component in power distribution network across the world. Penetration of renewable energy sources which are intermittent in nature is a huge influence on the requirement of SBS. Furthermore, SBS are used in other applications such as peak load management, load-shifting, voltage regulation and power quality improvement. With increase in penetration on SBS, the requirement for modeling charging characteristics considering capacity loss is also increasing drastically. Minimal resource requirement and capability to leverage on smart meter data are the important parameters that are to be focused while developing any model for such applications. In this paper, an analysis on different curve fitting approaches that can be used for predicting the charging profiles of SBS based on lithium iron phosphate batteries is presented.en_US
dc.description.sponsorshipNRF (Natl Research Foundation, S’pore)en_US
dc.description.sponsorshipEDB (Economic Devt. Board, S’pore)en_US
dc.language.isoenen_US
dc.rights© 2017 IEEE.en_US
dc.subjectStationary Battery Systemen_US
dc.subjectCurve Fittingen_US
dc.titleModeling of charging profiles for stationary battery systems using curve fitting approachen_US
dc.typeConference Paper
dc.contributor.conference43rd Annual Conference of the IEEE Industrial Electronics Society (IECON 2017)en_US
dc.contributor.researchEnergy Research Institute @NTUen_US
dc.contributor.schoolSchool of Electrical and Electronic Engineeringen_US
dc.identifier.doihttp://dx.doi.org/10.1109/IECON.2017.8216468


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