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Volumn , Issue , 2013, Pages 310-315

Size and parameter adjustment of a hybrid hydraulic powertrain using a global multi-objective optimization algorithm

Author keywords

[No Author keywords available]

Indexed keywords

ENGINES; HYDRAULIC ACCUMULATORS; MULTIOBJECTIVE OPTIMIZATION; POWERTRAINS; PROPULSION;

EID: 84893282861     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/VPPC.2013.6671710     Document Type: Conference Paper
Times cited : (10)

References (16)
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    • Kumar, R.1    Ivantysynova, M.2
  • 2
    • 77957813239 scopus 로고    scopus 로고
    • Optimal configuration design for hydraulic split hybrid vehicle
    • Baltimore, MD, USA, June 30-July 02
    • C. Li, H. Peng, Optimal Configuration Design for Hydraulic Split Hybrid Vehicle, American Control Conference, Baltimore, MD, USA, June 30-July 02, 2010.
    • (2010) American Control Conference
    • Li, C.1    Peng, H.2
  • 3
    • 79953147494 scopus 로고    scopus 로고
    • Optimal energy management for a hybrid energy storage system for electric vehicles based on stochastic dynamic programming
    • Lille, France, September 1-3
    • C. Romaus, K. Gathmann, J. Böcker, Optimal Energy Management for a Hybrid Energy Storage System for Electric Vehicles Based on Stochastic Dynamic Programming, 6th IEEE Vehicle Power and Propulsion Conference (VPPC), Lille, France, September 1-3, 2010.
    • (2010) 6th IEEE Vehicle Power and Propulsion Conference (VPPC)
    • Romaus, C.1    Gathmann, K.2    Böcker, J.3
  • 7
    • 33749235302 scopus 로고    scopus 로고
    • Optimization of power management in an hybrid electric vehicle using dynamic programming
    • L. V. Perez, G. R. Bossio, D. Moitre, G. O. Garcia, Optimization of power management in an hybrid electric vehicle using dynamic programming, Mathematics and Computers in Simulation, Volume 73, Issues 14, pp. 244-254.
    • Mathematics and Computers in Simulation , vol.73 , Issue.14 , pp. 244-254
    • Perez, L.V.1    Bossio, G.R.2    Moitre, D.3    Garcia, G.O.4
  • 8
    • 79951636769 scopus 로고    scopus 로고
    • Optimal drivetrain component sizing for a plug-in hybrid electric transit bus using multi-objective genetic algorithm
    • Halifax, NS, August 25-27
    • C. Desai, F. Berthold, S. S. Williamson, Optimal Drivetrain Component Sizing for a Plug-in Hybrid Electric Transit Bus Using Multi-Objective Genetic Algorithm, IEEE Electrical Power and Energy Conference, Halifax, NS, pp. 1-5, August 25-27, 2010.
    • (2010) IEEE Electrical Power and Energy Conference , pp. 1-5
    • Desai, C.1    Berthold, F.2    Williamson, S.S.3
  • 9
    • 72149095994 scopus 로고    scopus 로고
    • Genetic algorithm based optimal powertrain component sizing and control strategy design for a fuel cell hybrid electric bus
    • Dearborn, MI, April
    • C. Moser, L. Thiele, D. Brunelli, L. Benini, Genetic Algorithm Based Optimal Powertrain Component Sizing and Control Strategy Design for a Fuel Cell Hybrid Electric Bus, Vehicle Power and Propulsion Conference, Dearborn, MI, 2009, pp. 980-985, April 2010.
    • (2009) Vehicle Power and Propulsion Conference , vol.2010 , pp. 980-985
    • Moser, C.1    Thiele, L.2    Brunelli, D.3    Benini, L.4
  • 10
    • 79953151264 scopus 로고    scopus 로고
    • Optimization of control parameters in parallel hybrid electric vehicles using a hybrid genetic algorithm
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    • F. Hu, Z. Zhao, Optimization of control parameters in parallel hybrid electric vehicles using a hybrid genetic algorithm, Vehicle Power and Propulsion Conference (VPPC), IEEE, pp. 1-6, September 1-3, 2010.
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    • Hu, F.1    Zhao, Z.2
  • 11
    • 74649087099 scopus 로고    scopus 로고
    • Multi-objective optimization for hydraulic hybrid vehicle based on adaptive simulated annealing genetic algorithm
    • S. Hui, Multi-objective optimization for hydraulic hybrid vehicle based on adaptive simulated annealing genetic algorithm, Engineering Applications of Artificial Intelligence, Volume 23, Issue 1, pp. 27-33.
    • Engineering Applications of Artificial Intelligence , vol.23 , Issue.1 , pp. 27-33
    • Hui, S.1
  • 15
    • 84893221703 scopus 로고    scopus 로고
    • Multiobjective NSGA II-based control optimization of hydraulic and electric hybrid propulsion systems with respect to their dynamic behavior in time domain
    • Aachen, Germany, March 19-29
    • M. A. Karbaschian, M. Marx, B. Moulik, and D. Söffker, Multiobjective NSGA II-based control optimization of hydraulic and electric hybrid propulsion systems with respect to their dynamic behavior in time domain, Proceedings of 14nd Antriebstechnisches Kolloquium (ATK), Aachen, Germany, pp. 641-657, March 19-29, 2013.
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.