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Volumn , Issue , 2011, Pages 493-496

Battery state of charge estimation for electric vehicle based on neural network

Author keywords

Li ion battery; state of charge estimation; the method of neural network

Indexed keywords

BATTERY STATE OF CHARGE; CHARGE DISCHARGE PERFORMANCE; IRON PHOSPHATES; LI-ION BATTERIES; NEURAL NETWORK METHOD; PREDICTION MODEL; REMAINING CAPACITY; STATE-OF-CHARGE ESTIMATION; TEST DATA IN;

EID: 80053155023     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICCSN.2011.6013952     Document Type: Conference Paper
Times cited : (19)

References (8)
  • 3
    • 80053154984 scopus 로고    scopus 로고
    • Research on testing remaining capacity of battery based on fuzzy neural network prediction technology [J]
    • Li Jingzhao, Zhang Chongwei. Research on Testing Remaining Capacity of Battery Based on Fuzzy Neural Network Prediction Technology [J]. Coal Mine Machinery, 2002, 8(1): 21-24.
    • (2002) Coal Mine Machinery , vol.8 , Issue.1 , pp. 21-24
    • Li, J.1    Zhang, C.2
  • 4
    • 80053151453 scopus 로고    scopus 로고
    • Online measurement of remaining capacity of battery [J]
    • Gao Mingyu, Zhang Hongyan, Online measurement of Remaining Capacity of Battery [J]. Electrical Measurement & Instrumentation, 2000, 37(417): 28-32
    • (2000) Electrical Measurement & Instrumentation , vol.37 , Issue.417 , pp. 28-32
    • Gao, M.1    Zhang, H.2
  • 8
    • 29544446179 scopus 로고    scopus 로고
    • State of charge kalman filterestimator for automotive batteries
    • O Barbarisi, F. Vasca, and L Glielmo. State of charge kalman filterestimator for automotive batteries. Control Engineering Practice,14 267-275, 2006.
    • (2006) Control Engineering Practice , vol.14 , pp. 267-275
    • Barbarisi, O.1    Vasca, F.2    Glielmo, L.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.