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Modeling and state of charge estimation of a lithium ion battery using unscented Kalman filter in a nanosatellite

contributor authorHtet Aung
contributor authorKay Soon Low
contributor authorShu Ting Goh
date accessioned2020-03-12T21:15:14Z
date available2020-03-12T21:15:14Z
date issued2014
identifier other6931391.pdf
identifier urihttp://libsearch.um.ac.ir:80/fum/handle/fum/1042358?show=full
formatgeneral
languageEnglish
publisherIEEE
titleModeling and state of charge estimation of a lithium ion battery using unscented Kalman filter in a nanosatellite
typeConference Paper
contenttypeMetadata Only
identifier padid8170036
subject keywordsImage edge detection
subject keywordsContour detection
subject keywordsHigh Accuracy depth Map
subject keywordsKinect
subject keywordsedge distortion
identifier doi10.1109/ICACCI.2014.6968427
journal titlendustrial Electronics and Applications (ICIEA), 2014 IEEE 9th Conference on
filesize6411045
citations1


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