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

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3 Author(s)
Yi-Hwa Liu ; Dept. of Electr. Eng., Chang-Gung Univ., Taoyuan, Taiwan ; Jen-Hao Teng ; Yu-Chung Lin

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.

Published in:

IEEE Transactions on Industrial Electronics  (Volume:52 ,  Issue: 5 )