Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/60463
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dc.contributor.authorWang, Jingfeng
dc.date.accessioned2014-05-27T07:05:32Z
dc.date.available2014-05-27T07:05:32Z
dc.date.copyright2014en_US
dc.date.issued2014
dc.identifier.urihttp://hdl.handle.net/10356/60463
dc.description.abstractIn the Laboratory for Clean Energy Research (LaCER), a 5kVA bi-directional Lithium-ion energy storage battery system has been installed with the associated battery management software and a DC to three-phase 0.4kV inverter. The state of charge, abbreviated as “SOC”, is the essential battery parameter monitored in system to indicate the remained capacity of the battery pack. Especially in case of BMS (Battery Management System) implementation of balancing circuits, SOC will indicate when to charge or discharge the batteries connected in series. Therefore, an effective and accurate SOC estimating method would be very necessary to be proposed and developed. The objective of this project is to develop a suitable SOC estimating method that can integrate with the current BMS to enhance the accuracy of SOC measuring. With the new methodology developed, the author will be required to design and implement case studies on BMS, which can take advantage of electricity price differences throughout a day by buying electricity during the low tariff period and selling electricity during the high tariff period.en_US
dc.format.extent67 p.en_US
dc.language.isoenen_US
dc.rightsNanyang Technological University
dc.subjectDRNTU::Engineering::Electrical and electronic engineering::Electric power::Production, transmission and distributionen_US
dc.titleCase studies of online control of energy storage systemen_US
dc.typeFinal Year Project (FYP)en_US
dc.contributor.supervisorGooi Hoay Bengen_US
dc.contributor.schoolSchool of Electrical and Electronic Engineeringen_US
dc.description.degreeBachelor of Engineeringen_US
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Appears in Collections:EEE Student Reports (FYP/IA/PA/PI)
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