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Volumn 392, Issue , 2013, Pages 272-276

Neural network approach to gain scheduling for traction control of electrical vehicles

Author keywords

Electric vehicle (EV); Neural network; Slip ratio; Traction force control

Indexed keywords

CONSTANT GAIN; ELECTRICAL VEHICLES; GAIN SCHEDULING; INVERSE PROPORTIONS; RBF NEURAL NETWORK; ROAD CONDITION; SLIP RATIO; TRACTION FORCES;

EID: 84886294449     PISSN: 16609336     EISSN: 16627482     Source Type: Book Series    
DOI: 10.4028/www.scientific.net/AMM.392.272     Document Type: Conference Paper
Times cited : (5)

References (9)
  • 1
    • 0032164136 scopus 로고    scopus 로고
    • Traction control of electric vehicle: Basic experimental results using the test EV UOT electric march
    • Y. Hori, Y. Toyoda, and Y. Tsuruoka, "Traction control of electric vehicle: basic experimental results using the test EV UOT electric march," IEEE Transactions on Industry Applications, vol. 34, pp. 1131-1138, 1998.
    • (1998) IEEE Transactions On Industry Applications , vol.34 , pp. 1131-1138
    • Hori, Y.1    Toyoda, Y.2    Tsuruoka, Y.3
  • 3
    • 5544320410 scopus 로고    scopus 로고
    • Future vehicle driven by electricity and control - Research on four-wheel-motored UOT Electric March II
    • Y. Hori, "Future vehicle driven by electricity and control - Research on four-wheel-motored "UOT Electric March II"," IEEE Transactions on Industrial Electronics, vol. 51, pp. 954-962, 2004.
    • (2004) IEEE Transactions On Industrial Electronics , vol.51 , pp. 954-962
    • Hori, Y.1
  • 4
  • 7
    • 46449093991 scopus 로고    scopus 로고
    • ABS composite control based on optimal slip ratio
    • New York City, USA
    • H. Lv, Y. Jia, J. Du, and Q. Du, "ABS composite control based on optimal slip ratio," in Proceedings of American Control Conference, New York City, USA, 2007, pp. 5748-5752
    • (2007) Proceedings of American Control Conference , pp. 5748-5752
    • Lv, H.1    Jia, Y.2    Du, J.3    Du, Q.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.