• DocumentCode
    1178448
  • Title

    Search for an optimal rapid charging pattern for lithium-ion batteries using ant colony system algorithm

  • Author

    Liu, Yi-Hwa ; Teng, Jen-Hao ; Lin, Yu-Chung

  • Author_Institution
    Dept. of Electr. Eng., Chang-Gung Univ., Taoyuan, Taiwan
  • Volume
    52
  • Issue
    5
  • fYear
    2005
  • Firstpage
    1328
  • Lastpage
    1336
  • Abstract
    Commercial lithium-ion batteries are playing important roles as supplies for mobile phones, laptop computers, and other electronics. In order to maximize the performance of lithium-ion batteries, an advanced rapid charging pattern is required. In this paper, an Ant-Colony-System (ACS)-based algorithm is presented. The proposed ACS-based algorithm can be integrated into a commercially available battery tester to search for the optimal rapid charging pattern. Experimental results show that the obtained rapid charging pattern is capable of charging the lithium-ion batteries to 70% capacity in 30 min. The obtained pattern also provides 25% more cycle life than the conventional constant current-constant voltage method.
  • Keywords
    battery testers; laptop computers; mobile handsets; optimisation; secondary cells; Li; ant colony system; battery tester; current-constant voltage method; laptop computers; lithium-ion battery; mobile phones; optimal rapid charging; Batteries; Chemistry; Costs; Laboratories; Manufacturing; Mobile handsets; Portable computers; Telecommunication computing; Testing; Voltage; Ant Colony System (ACS); lithium–ion battery; rapid charging pattern;
  • fLanguage
    English
  • Journal_Title
    Industrial Electronics, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0278-0046
  • Type

    jour

  • DOI
    10.1109/TIE.2005.855670
  • Filename
    1512464