• DocumentCode
    2276293
  • Title

    A novel PSO-based hybrid PV-FC-Diesel-Battery electric PID-controller drive system for electric vehicle traction

  • Author

    Sharaf, Adel M. ; El-Gammal, Adel A A

  • Author_Institution
    Centre for Energy Studies, Univ. of Trinidad & Tobago, Couva, Trinidad and Tobago
  • fYear
    2010
  • fDate
    25-27 Aug. 2010
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    This paper presents a novel PID self regulating tri loop controller for a hybrid PV-FC-Diesel-Battery powered all-wheel drive electric vehicle using four Permanent Magnet DC (PMDC) motors, which are modeled to include existing nonlinearities in motor plus load inertia (J) and viscous friction (B). A Tri Loop dynamic error driven scheme is based on Multi Objective Particle Swarm Optimization MOPSO and proposed to regulate motor current against high inrush currents and motor overloading conditions, in addition to motor speed dynamic reference tracking. The Proposed tri loop dynamic error driven PID self tuned controller is also used to ensure energy efficiency, control loop decoupling, stability and system efficient utilization while maintaining full speed tracking capability. The integrated scheme is fully stabilized using a novel FACTS based green filter compensators developed by First Author that ensures stabilized DC bus voltage, minimal inrush current conditions, and damped load excursions.
  • Keywords
    DC motor drives; diesel engines; electric current control; fuel cell vehicles; hybrid electric vehicles; machine control; particle swarm optimisation; photovoltaic cells; secondary cells; three-term control; traction; FACTS; PID self tuned controller; PSO; all wheel drive electric vehicle; control loop decoupling; electric vehicle traction; energy efficiency; full speed tracking; green filter compensator; hybrid PV-FC-diesel-battery electric PID-controller drive system; motor current regulation; motor speed dynamic reference tracking; multi objective particle swarm optimization; permanent magnet DC motor; system efficient utilization; triloop controller; triloop dynamic error; DC motors; Heuristic algorithms; Particle swarm optimization; Permanent magnet motors; Transient analysis; Vehicle dynamics; Voltage control; Backup Battery; Diesel-driven generator; E-V Electric Vehicles; Fuel Cell; Green Power Filter; Multi Objective Particle Swarm Optimization MOPSO; Photo Voltaic PV;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electric Power and Energy Conference (EPEC), 2010 IEEE
  • Conference_Location
    Halifax, NS
  • Print_ISBN
    978-1-4244-8186-6
  • Type

    conf

  • DOI
    10.1109/EPEC.2010.5697207
  • Filename
    5697207