Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/50044
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dc.contributor.authorKong, Cherlynn.
dc.date.accessioned2012-05-29T04:11:09Z
dc.date.available2012-05-29T04:11:09Z
dc.date.copyright2012en_US
dc.date.issued2012
dc.identifier.urihttp://hdl.handle.net/10356/50044
dc.description.abstractAn approach to determine the extent by which electric vehicle (EV) batteries in a typical battery swapping station can be charged through the photo-voltaic (PV) system is described. Using solar irradiation data from Singapore, a statistical approach is used to predict the amount of solar energy that can be captured at a battery swapping station. The energy level or state of charge (SOC) of the EV batteries is modelled using various statistical distribution models to analyse the energy needed to fully charge one EV battery at a specified confidence level. With solar and vehicular statistics, it is possible to estimate the extent of solar PV contribution and assess the grid power demand of a battery swapping station.en_US
dc.format.extent98 p.en_US
dc.language.isoenen_US
dc.rightsNanyang Technological University
dc.subjectDRNTU::Engineering::Electrical and electronic engineeringen_US
dc.titleA system-level assessment of solar power contribution to EVen_US
dc.typeFinal Year Project (FYP)en_US
dc.contributor.supervisorChoi San Shingen_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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