A valid model of a rechargeable battery is required in many applications, especially to determine its internal charge. Due to the variability of battery behavior, a large amount of data should accompany the model. The power of fuzzy neural approaches is commonly exploited to meet this requirement. However, also a strictly circuital approach is feasible as proposed in the present paper. We suggest to use the simple circuit model constituted by the series of a nonlinear capacitor and a memristor, whose different characteristics, experimentally determined, are compacted under the form of two small sets of vectors related to these components.
A Data Driven Circuit Model for Rechargeable Batteries / Panella, Massimo; Proietti, Andrea. - In: IEEE INTERNATIONAL SYMPOSIUM ON CIRCUITS AND SYSTEMS PROCEEDINGS. - ISSN 0271-4302. - STAMPA. - (2014), pp. 626-629. (Intervento presentato al convegno IEEE International Symposium on Circuits and Systems (ISCAS 2014) tenutosi a Melbourne; Australia nel 1-5 giugno 2014) [10.1109/ISCAS.2014.6865213].
A Data Driven Circuit Model for Rechargeable Batteries
PANELLA, Massimo;PROIETTI, ANDREA
2014
Abstract
A valid model of a rechargeable battery is required in many applications, especially to determine its internal charge. Due to the variability of battery behavior, a large amount of data should accompany the model. The power of fuzzy neural approaches is commonly exploited to meet this requirement. However, also a strictly circuital approach is feasible as proposed in the present paper. We suggest to use the simple circuit model constituted by the series of a nonlinear capacitor and a memristor, whose different characteristics, experimentally determined, are compacted under the form of two small sets of vectors related to these components.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
