Modeling and state of charge estimation of a lithium ion battery using unscented Kalman filter in a nanosatellite
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سال
: 2014شناسه الکترونیک: 10.1109/ICACCI.2014.6968427
کلیدواژه(گان): Image edge detection,Contour detection,High Accuracy depth Map,Kinect,edge distortion
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Modeling and state of charge estimation of a lithium ion battery using unscented Kalman filter in a nanosatellite
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contributor author | Htet Aung | |
contributor author | Kay Soon Low | |
contributor author | Shu Ting Goh | |
date accessioned | 2020-03-12T21:15:14Z | |
date available | 2020-03-12T21:15:14Z | |
date issued | 2014 | |
identifier other | 6931391.pdf | |
identifier uri | http://libsearch.um.ac.ir:80/fum/handle/fum/1042358 | |
format | general | |
language | English | |
publisher | IEEE | |
title | Modeling and state of charge estimation of a lithium ion battery using unscented Kalman filter in a nanosatellite | |
type | Conference Paper | |
contenttype | Metadata Only | |
identifier padid | 8170036 | |
subject keywords | Image edge detection | |
subject keywords | Contour detection | |
subject keywords | High Accuracy depth Map | |
subject keywords | Kinect | |
subject keywords | edge distortion | |
identifier doi | 10.1109/ICACCI.2014.6968427 | |
journal title | ndustrial Electronics and Applications (ICIEA), 2014 IEEE 9th Conference on | |
filesize | 6411045 | |
citations | 1 |