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

Yi Hwa Liu*, Jen Hao Teng, Yu Chung Lin

*Corresponding author for this work

Research output: Contribution to journalJournal Article peer-review

191 Scopus citations

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.

Original languageEnglish
Pages (from-to)1328-1336
Number of pages9
JournalIEEE Transactions on Industrial Electronics
Volume52
Issue number5
DOIs
StatePublished - 10 2005

Keywords

  • Ant Colony System (ACS)
  • Lithium-ion battery
  • Rapid charging pattern

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