In this paper the possibility to characterize a Lithium Polymer (LiPo) cell, starting from a small amount of measurements only, is investigated. Experimental results achieved by a deep measurement campaign performed on one of the lithium batteries capable of the highest power on the market are partially reported and described. Part of these results together with an analytical model and a data driven procedure based on a genetic algorithm are used to deduce different quantities believed to be important for the description of the cell behavior. Finally, deduced quantities are compared with the equivalent measured ones in order to evaluate the correctness of the proposed approach. ©2010 IEEE.

Estimation of lithium polymer cell characteristic parameters through genetic algorithms / Paschero, Maurizio; DI GIACOMO, Vito; DEL VESCOVO, Guido; Rizzi, Antonello; FRATTALE MASCIOLI, Fabio Massimo. - STAMPA. - (2010), pp. 1-6. ((Intervento presentato al convegno 19th International Conference on Electrical Machines, ICEM 2010 tenutosi a Rome; Italy nel 6 September 2010 through 8 September 2010 [10.1109/icelmach.2010.5608060].

Estimation of lithium polymer cell characteristic parameters through genetic algorithms

PASCHERO, Maurizio;DI GIACOMO, VITO;DEL VESCOVO, Guido;RIZZI, Antonello;FRATTALE MASCIOLI, Fabio Massimo
2010

Abstract

In this paper the possibility to characterize a Lithium Polymer (LiPo) cell, starting from a small amount of measurements only, is investigated. Experimental results achieved by a deep measurement campaign performed on one of the lithium batteries capable of the highest power on the market are partially reported and described. Part of these results together with an analytical model and a data driven procedure based on a genetic algorithm are used to deduce different quantities believed to be important for the description of the cell behavior. Finally, deduced quantities are compared with the equivalent measured ones in order to evaluate the correctness of the proposed approach. ©2010 IEEE.
19th International Conference on Electrical Machines, ICEM 2010
Analytical model; Cell behaviors; Characteristic parameter
04 Pubblicazione in atti di convegno::04b Atto di convegno in volume
Estimation of lithium polymer cell characteristic parameters through genetic algorithms / Paschero, Maurizio; DI GIACOMO, Vito; DEL VESCOVO, Guido; Rizzi, Antonello; FRATTALE MASCIOLI, Fabio Massimo. - STAMPA. - (2010), pp. 1-6. ((Intervento presentato al convegno 19th International Conference on Electrical Machines, ICEM 2010 tenutosi a Rome; Italy nel 6 September 2010 through 8 September 2010 [10.1109/icelmach.2010.5608060].
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11573/62815
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