DocumentCode :
1775647
Title :
A fuzzy logic-based model for Li-ion battery with SOC and temperature effect
Author :
Du Jiani ; Liu Zhitao ; Wang Youyi ; Wen Changyun
Author_Institution :
Sch. of Electr. & Electron. Eng., Nanyang Technol. Univ., Singapore, Singapore
fYear :
2014
fDate :
18-20 June 2014
Firstpage :
1333
Lastpage :
1338
Abstract :
In this paper, a fuzzy logic-based model for Li-ion battery considering SOC and temperature effect is proposed. So far, the equivalent circuit model for Li-ion battery is common-used for its simplicity and suitability for control and estimation. However, among existing equivalent circuit models, it is seldom to consider the temperature effect, which has significant influence on electric vehicles (EVs) performance. It is difficult to find the relationship between equivalent circuit parameters and state of charge (SOC) and temperature. In our paper, the methodology of fuzzy logic is applied to model Li-ion battery. By using fuzzy rules, SOC and temperature effect on parameters is described simultaneously with simplicity and clarity. Simulation and experiment results show that the fuzzy logic-based model has good accuracy at different temperatures.
Keywords :
electric vehicles; fuzzy logic; power engineering computing; secondary cells; EV; Li-ion battery; SOC; electric vehicles performance; equivalent circuit parameters; fuzzy logic-based model; state of charge; temperature effect; Batteries; Equivalent circuits; Integrated circuit modeling; Mathematical model; System-on-chip; Temperature distribution; battery modeling; equivalent circuit model; fuzzy logic;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Control & Automation (ICCA), 11th IEEE International Conference on
Conference_Location :
Taichung
Type :
conf
DOI :
10.1109/ICCA.2014.6871117
Filename :
6871117
Link To Document :
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