Search for an optimal rapid charging pattern for lithium-lon batteries using Ant Colony System algorithm

被引:169
作者
Liu, YH
Teng, JH
Lin, YC
机构
[1] Chang Gung, Dept Elect Engn, Taoyuan, Taiwan
[2] I Shou Univ, Dept Elect Engn, Saga 840, Japan
[3] Ind Technol Res Inst, Electrotechnol Div, Energy Reource Labs, Power Elect Lab, Hsinchu 310, Taiwan
关键词
Ant Colony System (ACS); lithium-ion battery; rapid charging pattern;
D O I
10.1109/TIE.2005.855670
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
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.
引用
收藏
页码:1328 / 1336
页数:9
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