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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Format: | Tagungsbericht |
Sprache: | eng |
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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. |
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ISSN: | 1062-922X 2577-1655 |
DOI: | 10.1109/ICSMC.2012.6377978 |