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
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;
Journal_Title :
Industrial Electronics, IEEE Transactions on
DOI :
10.1109/TIE.2005.855670