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Volumn , Issue , 2010, Pages

Optimization of control parameters in parallel hybrid electric vehicles using a hybrid genetic algorithm

Author keywords

Hybrid electric vehicle; Hybrid genetic algorithm; Optimization

Indexed keywords

CONTROL PARAMETERS; CONTROL STRATEGIES; HYBRID ELECTRIC VEHICLE; HYBRID GENETIC ALGORITHMS; OPTIMAL METHODS; OPTIMIZATION ALGORITHMS; PARALLEL HYBRID ELECTRIC VEHICLES; SIMULATION TOOL; VEHICLE SIMULATORS;

EID: 79953151264     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/VPPC.2010.5729049     Document Type: Conference Paper
Times cited : (7)

References (7)
  • 2
    • 33748062671 scopus 로고    scopus 로고
    • Application of genetic algorithm for optimization of control strategy in parallel hybrid electric vehicles
    • Morteza Montazeri-Gh, Amir Poursamad, Babak Ghalichi, "Application of genetic algorithm for optimization of control strategy in parallel hybrid electric vehicles", Journal of the Franklin Institute, pp.420-435, 343 (2006).
    • (2006) Journal of the Franklin Institute , vol.343 , pp. 420-435
    • Montazeri-Gh, M.1    Poursamad, A.2    Ghalichi, B.3
  • 4
    • 33748338136 scopus 로고    scopus 로고
    • Optimum design of series hybrid electric buses by genetic algorithm
    • June
    • A. Hasanzadeh, B. Asaei, A. Emadi, "Optimum design of series hybrid electric buses by genetic algorithm", IEEE ISIE 2005, Dubrovnik, Croatia, pp.1465-1470,June, 2005.
    • (2005) IEEE ISIE 2005, Dubrovnik, Croatia , pp. 1465-1470
    • Hasanzadeh, A.1    Asaei, B.2    Emadi, A.3
  • 5
    • 20244381438 scopus 로고    scopus 로고
    • (Version 2002): National Renewable Energy Laboratory, April
    • ADVISOR Documentation (Version 2002): National Renewable Energy Laboratory, April, 2002.
    • (2002) ADVISOR Documentation


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.