Clean Technologies and Environmental Policy

, Volume 18, Issue 4, pp 1189–1202 | Cite as

Multi-objective component sizing of plug-in hybrid electric vehicle for optimal energy management

  • Vahid Madanipour
  • Morteza Montazeri-Gh
  • Mehdi Mahmoodi-k
Original Paper


This paper presents a methodology for component sizing optimization of a parallel plug-in hybrid electric vehicle by considering it as a multi-objective optimization problem. In this approach, two objective functions are defined to minimize the drivetrain cost, fuel consumption, and exhaust emissions simultaneously. Also, the driving performance requirements are considered as constraints. In addition, fuzzy logic controller including blended control strategy is developed for the PHEV. Finally, by means of multi-objective particle swarm optimization algorithm, the best choices of components are selected for 32 miles of the both TEH-CAR and UDDS driving cycles. Simulation results demonstrate the effectiveness and practicality of the approach, which prepare different optimal component sizes with various drivetrain costs, equivalent fuel consumption, and exhaust emissions.


Component sizing optimization Plug-in hybrid electric vehicle Fuzzy logic controller Blended control strategy Multi-objective particle swarm optimization 


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Copyright information

© Springer-Verlag Berlin Heidelberg 2016

Authors and Affiliations

  • Vahid Madanipour
    • 1
  • Morteza Montazeri-Gh
    • 2
  • Mehdi Mahmoodi-k
    • 2
  1. 1.Young Researchers and Elite Club, Hashtgerd BranchIslamic Azad UniversityAlborzIran
  2. 2.Systems Simulation and Control Laboratory, School of Mechanical EngineeringIran University of Science and TechnologyTehranIran

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