The fuzzy c-regression model for lithium battery

Author

Kung, Chung-Chun ; Chang, Shuo-Chieh ; Chen, Ti-Hung

Author_Institution

Dept. of Electr. Eng., Tatung Univ., Taipei, Taiwan

fYear

2012

fDate

14-17 Oct. 2012

Firstpage

1675

Lastpage

1680

Abstract

In this paper, the fuzzy c-regression model of the lithium battery and its application to the estimation of the state of charge (SOC) is proposed. We apply the fuzzy c-regression models (FCRM) to formulate the parameters in the equivalent circuit model (ECM) of the lithium battery. Based on these fuzzy c-regression models, we can estimate the SOC of the given lithium battery. The direct current internal resistance (DCIR) test method under the room temperature is applied to determine the parameters of the ECM. Simulation results demonstrate the effectiveness of the proposed approach.

Keywords

equivalent circuits; fuzzy set theory; regression analysis; secondary cells; DCIR test method; ECM; FCRM; Li; SOC; direct current internal resistance; equivalent circuit model; fuzzy c-regression model; lithium battery; state of charge estimation; Batteries; Capacitance; Electronic countermeasures; Integrated circuit modeling; Lithium; Resistance; System-on-a-chip; direct current internal resistance; fuzzy c-regression model; state of charge;

fLanguage

English

Publisher

ieee

Conference_Titel

Systems, Man, and Cybernetics (SMC), 2012 IEEE International Conference on

Conference_Location

Seoul

Print_ISBN

978-1-4673-1713-9

Electronic_ISBN

978-1-4673-1712-2

Type

conf

DOI

10.1109/ICSMC.2012.6377978

Filename

6377978