• DocumentCode
    620383
  • Title

    A study on gear shifting schedule for 2-speed electric vehicle using dynamic programming

  • Author

    Yu Xiang ; Lulu Guo ; Bingzhao Gao ; Hong Chen

  • Author_Institution
    State Key Lab. of Automotive Simulation & Control, Jilin Univ., Changchun, China
  • fYear
    2013
  • fDate
    25-27 May 2013
  • Firstpage
    3805
  • Lastpage
    3809
  • Abstract
    For a novel electric vehicle equipped with 2-speed Automated Manual Transmission (AMT), an optimal gear shifting schedule is designed to improve the energy economy of the vehicle. Given a driving cycle, the global optimal transmission ratio control sequence can be derived from Dynamic Programming algorithm. Then the optimal gear shifting schedule is achieved from the map of the optimal gear operational points of multiple driving cycles. Compared with some other selected gear shifting schedules, it is shown that the optimal shifting schedule improves energy consumption economy by about 5.5%.
  • Keywords
    dynamic programming; electric vehicles; energy consumption; fuel economy; gears; power transmission (mechanical); scheduling; 2-speed automated manual transmission; 2-speed electric vehicle; driving cycle; dynamic programming algorithm; energy consumption economy; energy economy; global optimal transmission ratio control sequence; optimal gear operational points; optimal gear shifting schedule; Batteries; Electric vehicles; Energy consumption; Gears; Schedules; Traction motors; Dynamic Programming; Electric Vehicle; Energy Consumption Economy; Gear Shifting Schedule;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control and Decision Conference (CCDC), 2013 25th Chinese
  • Conference_Location
    Guiyang
  • Print_ISBN
    978-1-4673-5533-9
  • Type

    conf

  • DOI
    10.1109/CCDC.2013.6561612
  • Filename
    6561612