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Hybrid Model to Calculate the State of Charge of a Battery

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Hybrid Artificial Intelligent Systems (HAIS 2021)

Abstract

Batteries are one of the most important component in an energy storage system; they are used mainly in electric mobility, consumer electronic and some other devices. Nowadays the common battery type is the liquid electrolyte solution, but it is expected that in some year, the solid state batteries increase the energy density. Despite the type of batteries, it is very important that the user knows the energy that remains inside the battery. The most used ways to calculate the capacity, or State Of Charge (SOC), is the percentage representation that takes into account energy that can be stored, and the remained energy. This research is based on a Lithium Iron Phosphate (LiFePO4) power cell, because it is commonly used in several applications. This paper develops a hybrid model that calculate the SOC taking into account the voltage of the battery and the current to, or from, it. Moreover, there has been checked two different clustering algorithms to achieve the best accurate of the model, that finally has a Mean Absolute Error of 0.225.

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Change history

  • 15 September 2021

    In an older version of this paper, the “s” was missing from the first name of Francisco Zayas-Gato. This has been corrected.

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Acknowledgement

CITIC, as a Research Center of the University System of Galicia, is funded by Consellería de Educación, Universidade e Formación Profesional of the Xunta de Galicia through the European Regional Development Fund (ERDF) and the Secretaría Xeral de Universidades (Ref. ED431G 2019/01).

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Correspondence to Héctor Alaiz-Moretón .

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Ordás, M.T.G. et al. (2021). Hybrid Model to Calculate the State of Charge of a Battery. In: Sanjurjo González, H., Pastor López, I., García Bringas, P., Quintián, H., Corchado, E. (eds) Hybrid Artificial Intelligent Systems. HAIS 2021. Lecture Notes in Computer Science(), vol 12886. Springer, Cham. https://doi.org/10.1007/978-3-030-86271-8_32

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  • DOI: https://doi.org/10.1007/978-3-030-86271-8_32

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