Low-Cost Adaptive Lebesgue Sampling Particle Filtering Approach for Real-Time Li-Ion Battery Diagnosis and Prognosis
سال
: 2017شناسه الکترونیک: 10.1109/TASE.2017.2666202
کالکشن
:
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آمار بازدید
Low-Cost Adaptive Lebesgue Sampling Particle Filtering Approach for Real-Time Li-Ion Battery Diagnosis and Prognosis
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| contributor author | Wuzhao Yan | |
| contributor author | Bin Zhang | |
| contributor author | Wanchun Dou | |
| contributor author | Datong Liu | |
| contributor author | Yu Peng | |
| date accessioned | 2020-03-15T10:20:39Z | |
| date available | 2020-03-15T10:20:39Z | |
| date issued | 2017 | |
| identifier other | s9CALVAf11x1pNZkLY72b_GAv1aCOrp0y44p7oeHmaC4FjVfae.pdf | |
| identifier uri | http://libsearch.um.ac.ir:80/fum/handle/fum/1918460 | |
| format | general | |
| language | English | |
| title | Low-Cost Adaptive Lebesgue Sampling Particle Filtering Approach for Real-Time Li-Ion Battery Diagnosis and Prognosis | |
| type | Journal Paper | |
| contenttype | Fulltext | |
| contenttype | Fulltext | |
| identifier padid | 13415121 | |
| identifier doi | 10.1109/TASE.2017.2666202 | |
| journal title | IEEE Transactions on Automation Science and Engineering | |
| coverage | Academic | |
| pages | 1-11 | |
| filesize | 2684928 | |
| citations | 2 |