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
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