• DocumentCode
    1794578
  • Title

    Minimization of Energy Losses in the Traction Drive of HEV Using Optimized Adaptive Control

  • Author

    Alnajjar, Mohammed ; Gerling, Dieter

  • Author_Institution
    Univ. der Bundeswehr Munchen, Munich, Germany
  • fYear
    2014
  • fDate
    27-30 Oct. 2014
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    This paper proposes a simulation model of an adaptive optimal control strategy for the traction drive of the hybrid electric vehicle. The control unit has to ensure the stability of the power network at different operating conditions. Moreover, the optimal design of the controller is required for the power management in order to reduce the energy losses during acceleration and braking processes. The traction drive is a variable speed drive with a three-phase externally excited synchronous machine operating in both the motoring mode and the generation mode. A voltage source inverter is utilized in order to control the machine in the motoring operation and to obtain the DC power when the machine is operated as a generator during the regenerative braking. The control unit guarantees a robust operation at different rotor speeds and at different load conditions.
  • Keywords
    adaptive control; controllers; hybrid electric vehicles; machine control; optimal control; optimisation; regenerative braking; synchronous machines; traction motor drives; variable speed drives; adaptive optimal control strategy; energy losses; hybrid electric vehicle; minimization; optimized adaptive control; power management; regenerative braking; three-phase externally excited synchronous machine; traction drive; variable speed drive; voltage source inverter; Acceleration; Energy loss; Hybrid electric vehicles; Rotors; Torque; Transient analysis; Vectors;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Vehicle Power and Propulsion Conference (VPPC), 2014 IEEE
  • Conference_Location
    Coimbra
  • Type

    conf

  • DOI
    10.1109/VPPC.2014.7007099
  • Filename
    7007099