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Volumn 1, Issue , 2010, Pages 115-118

An improved model based on artificial neural networks and Thevenin model for nickel metal hydride power battery

Author keywords

Artificial neural networks; Nickel metal hydride power battery; State of charge; Thevenin model

Indexed keywords

ARTIFICIAL NEURAL NETWORK; AVERAGE ERRORS; IMPROVED MODELS; INITIAL STATE; NICKEL METAL HYDRIDE; POWER BATTERIES; PREDICTIVE VALUES; REAL TIME; STATE OF CHARGE; WEIGHTED AVERAGES;

EID: 77955099499     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/OPEE.2010.5508184     Document Type: Conference Paper
Times cited : (12)

References (9)
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    • Piller, S.1    Perrin, M.2    Jossen, A.3
  • 2
    • 4344663503 scopus 로고    scopus 로고
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    • ZHANG Hongmei, DENG Zhenglong. UKF-based attitude determination method for gyro less satellite. Journal of System Engineering and Electronics, 2004, 15(2):105-109.
    • (2004) Journal of System Engineering and Electronics , vol.15 , Issue.2 , pp. 105-109
    • Zhang, H.1    Deng, Z.2
  • 5
    • 0026835108 scopus 로고
    • A mathematical model for lead2acid batteries
    • SALAMEH M, CASACCA A. A mathematical model for lead2acid batteries. IEEE Trans Energy Conversion, 1992, 7(1):93-97.
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    • Salameh, M.1    Casacca, A.2
  • 6
    • 0032664638 scopus 로고    scopus 로고
    • Determination of state-of-charge and state-of-health of batteries by fuzzy logic methodology
    • A Salkind, C. Fennie, P. Singh, T. Atwater, D. Resiner, Determination of state-of-charge and state-of-health of batteries by fuzzy logic methodology, Journal of Power Sources, 1999, 80(2):293-300.
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  • 7
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    • SOC estimation for traction battery based on RC circuit
    • LI Guohong, WU Jingzhen, SOC estimation for traction battery based on RC circuit, Journal of Tianjin Univerity, 2007, 40(3):126-130
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    • Li, G.1    Wu, J.2
  • 9
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    • Battery performance models in ADVISOR
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    • Valerie, H.J.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.