The fuzzy c-regression model for lithium battery

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 fu...

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Hauptverfasser: Chung-Chun Kung, Shuo-Chieh Chang, Ti-Hung Chen
Format: Tagungsbericht
Sprache:eng
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Beschreibung
Zusammenfassung: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.
ISSN:1062-922X
2577-1655
DOI:10.1109/ICSMC.2012.6377978