Modelagem matemática do tempo de vida de baterias de Lítio Íon Polímero utilizando modelos elétricos combinados e genéricos

Authors

  • Marcia de Fatima Brondani Binelo Universidade Regional do Noroeste do Estado do Rio Grande do Sul - Unijuí
  • Airam Teresa Zago Romcy Sausen Universidade Regional do Noroeste do Estado do Rio Grande do Sul - Unijuí
  • Paulo Sérgio Sausen Universidade Regional do Noroeste do Estado do Rio Grande do Sul - Unijuí

DOI:

https://doi.org/10.5335/rbca.v10i3.8063

Keywords:

Battery lifetime, combined model, electrical models, generic model, parameter estimation

Abstract

The optimization of mobile devices use time depends on the correct prediction of the battery lifetime. This paper presents the performance evaluation of two electrical models, namely, the Chen and Rincón-Mora combined model, and the Battery generic model. These models are employed for the mathematical modeling of Lithium-ion Polymer batteries lifetime prediction. The models are submitted to the same simulation scenario, and the same methodology is used for the estimation of their empirical parameters, which is based on the visual analysis of experimentally obtained discharge curves. For the models validation, the same data set, composed of variable and constant discharge profiles, is used. The experiments are performed in a testbed, and the models are implemented using the Matlab/Simulink (Student Suite) tool. The comparison between the batteries lifetimes obtained by the models and those obtained experimentally show that the models are accurate, presenting mean errors below $2$\%. However, the Battery model presents a better mean performance, and its parametrization process is simpler, when compared to the Chen and Rincón-Mora model parametrization.

Downloads

Download data is not yet available.

Published

2018-11-14

Issue

Section

Original Paper

How to Cite

[1]
2018. Modelagem matemática do tempo de vida de baterias de Lítio Íon Polímero utilizando modelos elétricos combinados e genéricos. Brazilian Journal of Applied Computing. 10, 3 (Nov. 2018), 44–54. DOI:https://doi.org/10.5335/rbca.v10i3.8063.