• DocumentCode
    583643
  • Title

    Charging and discharging cycle design for performance evaluation of HV batteries

  • Author

    Komatsuzaki, Kouhei ; Shin, Seiichi ; Sawada, Kenji

  • Author_Institution
    Dept. of Mech. Eng. & Intell. Syst., Univ. of Electro-Commun., Chofu, Japan
  • fYear
    2012
  • fDate
    17-21 Oct. 2012
  • Firstpage
    224
  • Lastpage
    228
  • Abstract
    The battery greatly influences the performance of the Hybrid Vehicle (HV). So, automobile manufacturers need to evaluate the batteries of various manufacturers and select the most appropriate one. In this case, they need a charge-discharge cycle to evaluate batteries quantitatively. In this paper, we call such a cycle an evaluation pattern and propose a design method of the pattern to evaluate the HV battery quantitatively. HV employs two power sources, motor and engine. In a HV, the appropriate distribution of output torques between the motor and engine is determined based on the driving condition (vehicle speed, acceleration rate, SOC, and so on). That leads to the dependence of the charge-discharge cycle on the driving condition. Therefore, our method divides actual driving data of HV into four driving modes (stopping, acceleration, steady running and deceleration) and then selects a representative pattern for every driving mode effectively by using regression analysis. As a result, we can narrow down the actual driving data that to a few representative patterns. The evaluation pattern is designed by combining the representative patterns. In addition, the quantitative evaluation pattern can be designed in a short time.
  • Keywords
    hybrid electric vehicles; regression analysis; secondary cells; HV batteries; acceleration rate; automobile manufacturers; charge-discharge cycle; discharging cycle design; driving condition; driving modes; evaluation pattern; hybrid vehicle; performance evaluation; power sources; regression analysis; representative patterns; vehicle speed; Acceleration; Automobiles; Batteries; Engines; Regression analysis; Torque; Data mining; HV battery performance; Hybrid vehicle (HV); Regression analysis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control, Automation and Systems (ICCAS), 2012 12th International Conference on
  • Conference_Location
    JeJu Island
  • Print_ISBN
    978-1-4673-2247-8
  • Type

    conf

  • Filename
    6393436