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Volumn 239, Issue , 2013, Pages 253-264

Prognostics of lithium-ion batteries based on relevance vectors and a conditional three-parameter capacity degradation model

Author keywords

Battery capacity degradation model; Lithium ion batteries; Relevance vector machine; Remaining useful life; State of health

Indexed keywords

BATTERY CAPACITY; LITHIUM-ION BATTERY; RELEVANCE VECTOR MACHINE; REMAINING USEFUL LIVES; STATE OF HEALTH;

EID: 84876568884     PISSN: 03787753     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.jpowsour.2013.03.129     Document Type: Article
Times cited : (332)

References (25)
  • 22
    • 84876533032 scopus 로고    scopus 로고
    • University of Ioannina, Ioanni, Greece, Illinois Institute of Technology, Chicago, USA
    • D.G. Tzikas, L. Wei, A. Likas, Y. Yang, P. Galatsanos, University of Ioannina, Ioanni, Greece, Illinois Institute of Technology, Chicago, USA, 2006.
    • (2006)
    • Tzikas, D.G.1    Wei, L.2    Likas, A.3    Yang, Y.4    Galatsanos, P.5


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.