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Volumn , Issue , 2007, Pages 35-40

Estimation and control of hybrid electric vehicle using artificial neural networks

Author keywords

[No Author keywords available]

Indexed keywords

ADAPTIVE CONTROL SYSTEMS; COMPUTER SIMULATION; NEURAL NETWORKS; PARAMETER ESTIMATION; TORQUE CONTROL; UNCERTAINTY ANALYSIS;

EID: 35248894428     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICIEA.2007.4318365     Document Type: Conference Paper
Times cited : (10)

References (12)
  • 1
    • 0031072363 scopus 로고    scopus 로고
    • G. Mehrdad E., Propulsion system design of electric and hybrid vehicles, IEEE Trans. on Ind. Electron., 1997, 44(1): 19-27.
    • G. Mehrdad E., Propulsion system design of electric and hybrid vehicles, IEEE Trans. on Ind. Electron., 1997, 44(1): 19-27.
  • 2
    • 35248872552 scopus 로고    scopus 로고
    • H.A. Toliyat, Electric machines in electric and hybrid vehicle applications, Proc. 1995 Int. Conf. power electronics, Seoul, Korea.685-692.
    • H.A. Toliyat, Electric machines in electric and hybrid vehicle applications, Proc. 1995 Int. Conf. power electronics, Seoul, Korea.685-692.
  • 3
    • 0033338804 scopus 로고    scopus 로고
    • Modeling, performance analysis and control design of a hybrid sport-utility vehicle[J]
    • Hawaii,USA
    • Avra,B., Modeling, performance analysis and control design of a hybrid sport-utility vehicle[J], Proc. IEEE. 1999 Int. Conf. control applications, Hawaii,USA,448-453.
    • Proc. IEEE. 1999 Int. Conf. control applications , pp. 448-453
    • Avra, B.1
  • 4
    • 0032182957 scopus 로고    scopus 로고
    • Dynamic modeling and control of hybrid electric vehicle power-trains system
    • B.K.Powell, Dynamic modeling and control of hybrid electric vehicle power-trains system, IEEE Control System, 1998, 18(5):563-575.
    • (1998) IEEE Control System , vol.18 , Issue.5 , pp. 563-575
    • Powell, B.K.1
  • 5
    • 85072479111 scopus 로고    scopus 로고
    • Operation and control strategies for hybrid electric automobiles
    • Bradley G., Operation and control strategies for hybrid electric automobiles, SAE Journal, 2000/1537: 1662-1667.
    • (2000) SAE Journal , vol.1537 , pp. 1662-1667
    • Bradley, G.1
  • 6
    • 85072413714 scopus 로고    scopus 로고
    • Engine Control Strategy for a Series Hybrid Electric Vehicle Incorporating Load Leveling and Computer Controlled Energy Management
    • Hochgraf C.G., Engine Control Strategy for a Series Hybrid Electric Vehicle Incorporating Load Leveling and Computer Controlled Energy Management, SAE Journal 1996/1156,11-24.
    • (1996) SAE Journal , vol.1156 , pp. 11-24
    • Hochgraf, C.G.1
  • 8
    • 0035245365 scopus 로고    scopus 로고
    • Hybrid control using recurrent fuzzy neural work for linear-induction motor servo drive
    • Faajeng L., Rongjong W., Hybrid control using recurrent fuzzy neural work for linear-induction motor servo drive, IEEE Trans. on Fuzzy Systems, Vol.9, No.1, 2001.
    • (2001) IEEE Trans. on Fuzzy Systems , vol.9 , Issue.1
    • Faajeng, L.1    Rongjong, W.2
  • 9
    • 0029307855 scopus 로고
    • Neural network based estimation of feedback signals for a vector controlled induction motor drive, IEEE Trans
    • May/June
    • M .G. Simoes and B. K. Bose, Neural network based estimation of feedback signals for a vector controlled induction motor drive, IEEE Trans. Ind. Applical., vol. 31, No.3,pp. 620-629, May/June 1995.
    • (1995) Ind. Applical , vol.31 , Issue.3 , pp. 620-629
    • Simoes, M.G.1    Bose, B.K.2
  • 10
    • 0036950908 scopus 로고    scopus 로고
    • A neural-network-base adaptive estimator for speed-sensorless control of induction motor
    • June
    • Wang D.Z.,Gu S.S., A neural-network-base adaptive estimator for speed-sensorless control of induction motor, Proc. of the 4th WCICA, June 2002, pp. 2812-2816
    • (2002) Proc. of the 4th WCICA , pp. 2812-2816
    • Wang, D.Z.1    Gu, S.S.2
  • 12
    • 0034591539 scopus 로고    scopus 로고
    • An improved recursive prediction error algorithm for training recurrent neural networks
    • June
    • Li H. R., Wang X. Z. and Gu, S.S.,An improved recursive prediction error algorithm for training recurrent neural networks, Proc. of the 3rd WCICA, June 2000, pp. 1043-1046.
    • (2000) Proc. of the 3rd WCICA , pp. 1043-1046
    • Li, H.R.1    Wang, X.Z.2    Gu, S.S.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.