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Volumn , Issue , 2012, Pages 1318-1324

Adaptive voltage estimation for EV Li-ion cell based on artificial neural networks state-of-charge meter

Author keywords

[No Author keywords available]

Indexed keywords

ADAPTIVE VOLTAGE; BATTERY MODELS; BATTERY PACK; CELL MODELING; ENERGY APPLICATIONS; FORGETTING FACTORS; LI-ION CELLS; LITHIUM IONS; OPERATING RANGES; OPERATIONAL CONDITIONS; POLYMER BASED; RLS ALGORITHMS; STATE-OF-CHARGE; TERMINAL VOLTAGES; TIME-DEPENDENT; VEHICLE CONTROLLER;

EID: 84864858329     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ISIE.2012.6237281     Document Type: Conference Paper
Times cited : (41)

References (15)
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  • 2
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  • 4
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  • 5
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    • San Francisco, CA, USA
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    • (2011) 2011 American Control Conference , pp. 370-375
    • Li, Y.1    Anderson, R.D.2    Song, J.3    Phillips, A.M.4    Wang, X.5
  • 7
    • 79751538115 scopus 로고    scopus 로고
    • State-of-charge prediction of batteries and battery-supercapacitor hybrids using artificial neural networks
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  • 8
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    • Italie
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.