Welcome to Journal of Automotive Safety and Energy,
汽车安全与节能学报

Journal Of Automotive Safety And Energy ›› 2012, Vol. 3 ›› Issue (1): 64-70.DOI: 10.3969/j.issn.1674-8484.2012.01.010

• Automotive Energy Efficiency & Environment Protection • Previous Articles     Next Articles

Nonlinear Constrained Component Optimization for the Powertrain Configuration of a Plug-in Hybrid Electric Vehicle Powertrain

Emrah T. YILDIZ 1, Quazi FAROOQI 2, Sohel ANWAR2*, Yaobin CHEN 3, Afshin IZADIAN 4   

  1. 1. Cummins, Inc., Columbus, IN 47201, USA ；
    2. Department of Mechanical Engineering, Indiana University-Purdue University Indianapolis (IUPUI), Indianapolis, IN 46202, USA ；
    3. Department of Electrical and Computer Engineering, IUPUI, IN 46202, USA;
    4. Department of Engineering Technology, IUPUI, IN 46202, USA
  • Received:2012-02-08 Online:2012-03-25 Published:2012-03-28
  • Contact: SohelANWAR，Associate Professor and Graduate Chair. E-mail ：soanwar@iupui.edu E-mail:etolgayildiz@gmail.com
  • About author:Emrah T. YILDIZ (1984—), USA, Master’s Degree in Mechanical Engineering. E-mail: etolgayildiz@gmail.com
  • Supported by:

    Indiana Office of Energy and Defense Development (IOEDD) though a research grant number A302-8-EEC-002

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Abstract: Particle Swarm Optimization (PSO) approach was used to optimize the size of the vehicle
powertrain components (e.g. engine power, electric motor power, battery energy capacity) while meeting the
critical performance requirements, improving fuel efficiency, and obtaining cost effectiveness for a plug-in hybrid
electric vehicle (PHEV). Compared with conventional optimization methods, PSO isan efficient and precise
optimization method for nonlinear constrained optimization problems.The PHEV powertrain configuration with
the optimized components was used to form a new vehicle model using Powertrain System Analysis Toolkit
(PSAT). Simulation results show that the vehicle with optimized components using PSO have equivalent
operational performance and 30% improvement on fuel consumption.

Key words: plug-in hybrid electric vehicle (PHEV), powertrain, optimal component sizing, particle swarm optimization, powertrain system analysis toolkit (PSAT)

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