• DocumentCode
    3113888
  • Title

    Optimal short driving mission control for a diesel-electric powertrain

  • Author

    Sivertsson, Martin ; Eriksson, Lars

  • Author_Institution
    Dept. of Electr. Eng., Linkoping Univ., Linkoping, Sweden
  • fYear
    2012
  • fDate
    9-12 Oct. 2012
  • Firstpage
    413
  • Lastpage
    418
  • Abstract
    Time and fuel optimal control for a diesel-electric powertrain in transient operation is studied using a four state, three controls non-linear mean value engine model. In the studied transients the engine starts at idle and stops when the generated energy fulfills the driving mission requirement. During the driving mission both the engine speed and output power are allowed to vary, but with a constraint on power. Two strategies are then developed and evaluated. One where the driving mission is optimized with the generator power considered a free variable, and a second strategy where the accelerating phase of the transient is first optimized and then the optimal controls for a fixed generator power are used. The time optimal control is shown to be almost as fuel efficient as the fuel optimal control even though the gain in time is large. The time optimal control also has the advantage of using constant power output, making it simple and easily implementable, whilst the fuel optimal control is more complex and changes with the length of the driving mission.
  • Keywords
    diesel engines; diesel-electric generators; fuel optimal control; machine control; nonlinear control systems; optimisation; power transmission (mechanical); time optimal control; transient analysis; diesel electric powertrain; electric generator; fuel optimal control; nonlinear control mean value engine model; optimal short driving mission control; optimization; time optimal control; transient analysis; Discrete wavelet transforms; Positron emission tomography; Software;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Vehicle Power and Propulsion Conference (VPPC), 2012 IEEE
  • Conference_Location
    Seoul
  • Print_ISBN
    978-1-4673-0953-0
  • Type

    conf

  • DOI
    10.1109/VPPC.2012.6422673
  • Filename
    6422673