• DocumentCode
    3481931
  • Title

    An energy management strategy for a hydraulic hybrid vehicle

  • Author

    Deppen, T.O. ; Alleyne, Andrew G. ; Stelson, K. ; Meyer, Jorg

  • Author_Institution
    Mech. Sci. & Eng. Dept., Univ. of Illinois at Urbana-Champaign, Urbana, IL, USA
  • fYear
    2012
  • fDate
    27-29 June 2012
  • Firstpage
    1335
  • Lastpage
    1341
  • Abstract
    In this study we present a procedure for the design and implementation of a control strategy to optimize energy use within a light weight hydraulic hybrid passenger vehicle. The hydraulic hybrid utilizes a high pressure accumulator for energy storage which has superior power density than conventional battery technology. This makes fluid power attractive for urban driving applications in which there are frequent starts and stops and large startup power demands. The proposed design method improves the powertrain´s operational efficiency by finding the best balance between optimizing individual component efficiencies. The optimization problem was implemented using the model predictive control framework because it requires no future information about the drive cycle in its design. Hardware-in-the-loop experiments using an electro-hydraulic powertrain testbed were then used to validate the dynamic model and control performance.
  • Keywords
    electrohydraulic control equipment; energy management systems; energy storage; hybrid electric vehicles; hydraulic systems; power transmission (mechanical); predictive control; control performance validation; control strategy; design method; drive cycle; dynamic model validation; electro-hydraulic powertrain testbed; energy management strategy; energy storage; energy usage optimization; fluid power; hardware-in-the-loop experiment; high pressure accumulator; hydraulic hybrid vehicle; light weight hydraulic hybrid passenger vehicle; model predictive control framework; powertrain operational efficiency; urban driving application; Engines; Load modeling; Mechanical power transmission; Predictive models; Torque; Valves; Vehicles;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    American Control Conference (ACC), 2012
  • Conference_Location
    Montreal, QC
  • ISSN
    0743-1619
  • Print_ISBN
    978-1-4577-1095-7
  • Electronic_ISBN
    0743-1619
  • Type

    conf

  • DOI
    10.1109/ACC.2012.6315396
  • Filename
    6315396