DocumentCode :
1922458
Title :
Design of Lithium-Ion Battery Charging System Enhanced with Wolf Pack Algorithm
Author :
Hung, Te-Chun ; Huang, Shyh-Jier ; Pai, Fu-Sheng ; Ku, Chen-Wei
Author_Institution :
Dept. of Electr. Eng., Nat. Cheng Kung Univ., Tainan, Taiwan
fYear :
2012
fDate :
26-28 Sept. 2012
Firstpage :
195
Lastpage :
200
Abstract :
This paper proposes a charging control strategy for lithium-ion batteries. The method applies the post-charged steady-state battery voltage to justify the characteristics of durability for the lithium-ion battery, while the possibility of over-charging and under-charging conditions can be better avoided. In the method, the charging capacity, the charging security, and battery durability are all taken into consideration. Moreover, a wolf pack algorithm is applied to the charging process and searching for the optimal charging current. With the aid of this bio-inspired algorithm, the redundant energy in the charging can be saved, while the charge process can be more effectively controlled to reduce the time and cost. The method has been implemented on the laboratory prototype. Test results are compared with published techniques.
Keywords :
durability; lithium; secondary cells; Li; battery durability; bio-inspired algorithm; charging capacity; charging control strategy; charging process; charging security; durability characteristics; lithium-ion battery charging system design; optimal charging current; over-charging condition; post-charged steady-state battery voltage; under-charging condition; wolf pack algorithm; Algorithm design and analysis; Batteries; Gain; Inductors; Resistors; Steady-state; Voltage control; Lithium-Ion Batteries; Optimal Charging; Wolf Pack Algorithm;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Innovations in Bio-Inspired Computing and Applications (IBICA), 2012 Third International Conference on
Conference_Location :
Kaohsiung
Print_ISBN :
978-1-4673-2838-8
Type :
conf
DOI :
10.1109/IBICA.2012.63
Filename :
6337663
Link To Document :
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