Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/64944
Full metadata record
DC FieldValueLanguage
dc.contributor.authorChen, Wanjing
dc.date.accessioned2015-06-09T07:45:21Z
dc.date.available2015-06-09T07:45:21Z
dc.date.copyright2014en_US
dc.date.issued2014
dc.identifier.urihttp://hdl.handle.net/10356/64944
dc.description.abstractIn order to ensure that the energy inside the battery is made good use for supplying the portable product and that the risk of damaging the batteries is minimized, the state-of-charge (SOC), which cannot be measured directly, of the battery needs to be accurate. In this thesis, two kinds of estimators, the EKF and the UKF, were introduced and tested in Matlab environment. First, an accurate battery model was quoted and several verified tests were conducted in order to introduce the model at length. The voltage, measured SOC and current data was also obtained in this process for the next estimation step. Then, the EKF and the UKF algorithms were introduced. Experiments were then conducted in order to verify the algorithms in different kinds of situations. The results showed that when the conditions were not ideal, the UKF could perform better than the EKF.en_US
dc.format.extent85 p.en_US
dc.language.isoenen_US
dc.subjectDRNTU::Engineering::Electrical and electronic engineeringen_US
dc.titleSOC estimation of rechargeable batteriesen_US
dc.typeThesis
dc.contributor.supervisorWang Youyien_US
dc.contributor.schoolSchool of Electrical and Electronic Engineeringen_US
dc.description.degreeMaster of Science (Power Engineering)en_US
item.fulltextWith Fulltext-
item.grantfulltextrestricted-
Appears in Collections:EEE Theses
Files in This Item:
File Description SizeFormat 
CHEN_WANJING_2014.pdf
  Restricted Access
6.61 MBAdobe PDFView/Open

Page view(s)

111
Updated on Jan 21, 2021

Download(s)

11
Updated on Jan 21, 2021

Google ScholarTM

Check

Items in DR-NTU are protected by copyright, with all rights reserved, unless otherwise indicated.