A real time simulation of battery conditions is an essential step in the development of energy harvesting devices. Since it is not possible to have a direct measurement, the battery information, such as the remaining charge, need to be estimated by means of model-based estimation algorithms. Most of the existing models describing battery behaviour, are suitable only for a constant discharge current. This paper proposes a study of the dependence of the equivalent circuit model parameters on different discharge conditions. The model presented provides a powerful tool to represent the batteries’ behaviour in energy harvesting systems, involving continuous charge and discharge cycles. The extraction of parameters was performed, starting from a set of reference curves generated in Matlab Simulink environment, referring to Li-ion technology batteries. The parameters were extracted by means of a cascade of global and local search identification algorithms. Finally, the relations describing parameters’ behaviours as functions of the discharge current are presented.

Improvement of an equivalent circuit model for li-ion batteries operating at variable discharge conditions / Lozito G.M.; Lucaferri V.; Fulginei F.R.; Salvini A.. - In: ELECTRONICS. - ISSN 2079-9292. - ELETTRONICO. - 9:(2020), pp. 0-0. [10.3390/electronics9010078]

Improvement of an equivalent circuit model for li-ion batteries operating at variable discharge conditions

Lozito G. M.;
2020

Abstract

A real time simulation of battery conditions is an essential step in the development of energy harvesting devices. Since it is not possible to have a direct measurement, the battery information, such as the remaining charge, need to be estimated by means of model-based estimation algorithms. Most of the existing models describing battery behaviour, are suitable only for a constant discharge current. This paper proposes a study of the dependence of the equivalent circuit model parameters on different discharge conditions. The model presented provides a powerful tool to represent the batteries’ behaviour in energy harvesting systems, involving continuous charge and discharge cycles. The extraction of parameters was performed, starting from a set of reference curves generated in Matlab Simulink environment, referring to Li-ion technology batteries. The parameters were extracted by means of a cascade of global and local search identification algorithms. Finally, the relations describing parameters’ behaviours as functions of the discharge current are presented.
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Lozito G.M.; Lucaferri V.; Fulginei F.R.; Salvini A.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/2158/1247578
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