Modeling and state of charge estimation of a lithium ion battery using unscented Kalman filter in a nanosatellite
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Year
: 2014DOI: 10.1109/ICACCI.2014.6968427
Keyword(s): 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?locale-attribute=en | |
| 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 |