• DocumentCode
    1941305
  • Title

    Adaptive Battery Management Systems for the new generation of Electrical Vehicles

  • Author

    Danilov, D. ; Notten, P.H.L.

  • Author_Institution
    Dept. of Chem. Eng. & Chem., Eindhoven Univ. of Technol. (TU/e), Eindhoven, Netherlands
  • fYear
    2009
  • fDate
    7-10 Sept. 2009
  • Firstpage
    317
  • Lastpage
    320
  • Abstract
    Proper functioning of rechargeable batteries is of crucial importance for any electrical vehicle, especially for plug-in electrical vehicles (PEV). Modern battery management systems (BMS) provide a driver for a number of important indications, such as remaining operation time, remaining charge and power. Therefore, BMS is a key element of PEV. However, the performance of the batteries deteriorates during the cycle life, in particular the capacity fades and impedance grows, leading to a decrease in battery power. BMS may decrease these negative effects without creating inconvenience for the end-user. A number of advanced battery charging algorithms were developed in the recent decade. These algorithms can significantly improve the performance of PEV facilitating their mass production.
  • Keywords
    battery management systems; battery powered vehicles; secondary cells; PEV; adaptive battery management system; battery charging algorithm; cycle life; mass production; plug-in electrical vehicles; rechargeable batteries; Adaptive systems; Aging; Battery management systems; Battery powered vehicles; Chemical technology; Chemistry; Electric vehicles; Electrodes; Impedance; Voltage; BMS; adaptivity; ageing; state-of-charge indication; state-of-health determination;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Vehicle Power and Propulsion Conference, 2009. VPPC '09. IEEE
  • Conference_Location
    Dearborn, MI
  • Print_ISBN
    978-1-4244-2600-3
  • Electronic_ISBN
    978-1-4244-2601-0
  • Type

    conf

  • DOI
    10.1109/VPPC.2009.5289835
  • Filename
    5289835