• DocumentCode
    696454
  • Title

    Feedforward control of a parallel hybrid launch clutch

  • Author

    Gasper, Rainer ; Beck, Ralf ; Drews, Peter ; Abel, Dirk

  • Author_Institution
    Inst. of Autom. Control, RWTH Aachen Univ., Aachen, Germany
  • fYear
    2009
  • fDate
    23-26 Aug. 2009
  • Firstpage
    4265
  • Lastpage
    4270
  • Abstract
    Hybrid Electrical Vehicles (HEV) are a very promising approach to save fuel and minimize exhaust emissions. The drive trains of HEV are equipped with at least one Electric Machine (EM) in addition to the Internal Combustion Engine (ICE). Therefore it is possible to operate the Internal Combustion Engine (ICE) in more efficient working points or to shut it down if the efficiency is too low. Despite of the fuel savings, the drivability can be increased by realizing gear shifts without an intermission in the wheel torque or a noticeable jerk. An important task for the HEV control is the start and the coupling of the ICE during electrical driving. This task has to also be done without an intermission in the wheel torque or a noticeable jerk to obtain a good drivability. In this paper we will describe a feedforward control for the launch clutch of a parallel HEV (pHEV) with an Automated Manual Transmission (AMT) and a dry clutch. The feedforward control is obtained using a simplified model of the drivetrain.
  • Keywords
    clutches; electric machines; feedforward; hybrid electric vehicles; internal combustion engines; AMT; EM; HEV control; ICE; automated manual transmission; drivetrain; dry clutch; electric machine; exhaust emission minimization; feedforward control; fuel savings; gear shifts; hybrid electrical vehicles; internal combustion engine; pHEV; parallel hybrid launch clutch; wheel torque; Angular velocity; Equations; Feedforward neural networks; Ice; Mathematical model; Torque; Vehicles;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control Conference (ECC), 2009 European
  • Conference_Location
    Budapest
  • Print_ISBN
    978-3-9524173-9-3
  • Type

    conf

  • Filename
    7075070