Battery Model Parameters Estimation Using Simulated Annealing

Marcia de Fatima Brondani, Airam Teresa Zago Romcy Sausen, Paulo Sérgio Sausen, Manuel Osório Binelo

Abstract


In this paper, a Simulated Annealing (SA) algorithm is proposed for the Battery model parametrization, which is used for the mathematical modeling of the Lithium Ion Polymer (LiPo) batteries lifetime. Experimental data obtained by a testbed were used for model parametrization and validation. The proposed SA algorithm is compared to the traditional parametrization methodology that consists in the visual analysis of discharge curves, and from the results obtained, it is possible to see the model efficacy in batteries lifetime prediction, and the proposed SA algorithm efficiency in the parameters estimation.

Keywords


Battery model; parameter estimation; simulated annealing

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References


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DOI: http://dx.doi.org/10.5540/tema.2017.018.01.0127

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TEMA - Trends in Applied and Computational Mathematics

A publication of the Brazilian Society of Applied and Computational Mathematics (SBMAC)
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