• DocumentCode
    1794657
  • Title

    Toward On-Line Optimized Power Management for a Series Hybrid Hydraulic Powertrain

  • Author

    Karbaschian, Mohammad Ali ; Soffker, Dirk

  • Author_Institution
    Dept. of Dynamics & Control, Univ. of Duisburg-Essen, Duisburg, Germany
  • fYear
    2014
  • fDate
    27-30 Oct. 2014
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    In this contribution, an instantaneously optimized power management algorithm using a two-level controller is introduced. The adaptive controller is applied for realization of power demand for the power management. Moreover, a model predictive controller-based power management is developed to be compared with the first one. Finally, both power management algorithms are compared to a globally optimized power management serves as benchmark reference. The power management algorithms are applied to a series hybrid hydraulic powertrain system. Control variables are high pressure in hydraulic line as well as motor/pump displacement ratio. Advantages with respect to the improvement of vehicle performance as well as vehicle efficiency can be observed. Comparing both strategies, it can be stated that the introduced new instantaneously optimized power management algorithm has better performance than the MPC-based power management, while efficiency of them is the same.
  • Keywords
    adaptive control; electric vehicles; hydraulic systems; power transmission (mechanical); predictive control; MPC-based power management; adaptive controller; benchmark reference; control variables; globally-optimized power management; hydraulic line; instantaneously-optimized power management algorithm; model predictive controller-based power management; motor-pump displacement ratio; online optimized power management; power demand; series hybrid hydraulic powertrain system; two-level controller; vehicle efficiency; vehicle performance improvement; Engines; Fuels; Heuristic algorithms; Mechanical power transmission; Power distribution; Prediction algorithms; Vehicles;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Vehicle Power and Propulsion Conference (VPPC), 2014 IEEE
  • Conference_Location
    Coimbra
  • Type

    conf

  • DOI
    10.1109/VPPC.2014.7007145
  • Filename
    7007145