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Volumn , Issue , 2010, Pages

Mathematical modeling of aging factors for Li-ion battery cells

Author keywords

Battery cells aging; Linear and non linear regression; Lithium ion; Modeling

Indexed keywords

AGING FACTORS; BATTERY CELLS; BLACK BOXES; CRUCIAL PARAMETERS; EXPERIMENTAL DATA; FUNCTION OF TIME; INTERNAL RESISTANCE; LI-ION BATTERIES; LITHIUM-ION; MATHEMATICAL MODELING; MODELING; MODELING APPROACH; MULTIPLE LINEAR REGRESSIONS; NON-LINEAR REGRESSION; NONLINEAR TECHNIQUES; OCV MODEL; PEAK POWER; RESIDUAL CAPACITY;

EID: 79953159506     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/VPPC.2010.5729124     Document Type: Conference Paper
Times cited : (11)

References (7)
  • 3
    • 79953146199 scopus 로고    scopus 로고
    • Premier pas en régression linéaire avec SAS
    • J. Confais, M. Le Guen, Premier pas en régression linéaire avec SAS, Revue Modulad, numéro 35, 2006
    • (2006) Revue Modulad , Issue.35
    • Confais, J.1    Le Guen, M.2
  • 4
    • 24944440826 scopus 로고    scopus 로고
    • RBF kernel based support vector machine with universal approximation and its application
    • Dalian, China: Springer, August
    • Junping W, Quanshi C, Yong C. RBF kernel based support vector machine with universal approximation and its application. In: Proceedings of the international symposium on neural networks. Dalian, China: Springer, August 2004. p. 512-7.
    • (2004) Proceedings of the International Symposium on Neural Networks , pp. 512-517
    • Junping, W.1    Quanshi, C.2    Yong, C.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.