Title :
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
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;
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
DOI :
10.1109/ICSMC.2012.6377978
