IoT battery health meter

Keywords: Battery, State of Charge SoC, State of Health SoH, Internet of Things, Reuse

Abstract

Estimating basic battery metrics, such as State of Charge (SoC) and State of Health (SoH), is crucial in determining whether a battery can recover and thus extend its life. This is particularly important in the context of their use in laptop computers, cell phones, among others, since the disposal of these batteries can lead to environmental contamination due to their toxic materials. To evaluate SoC and SoH, monitoring of voltage, current, and temperature during charge and discharge cycles are employed. If a battery shows a low SoH, it indicates significant degradation, it may not be suitable for further use. if the SoH is still relatively high, it might be possible to recover the battery. Battery recovery systems may involve processes such as deep cycling (discharging and recharging the battery multiple times), battery balancing (ensuring all cells have the same charge capacity), or applying specific charging algorithms to reactivate or improve battery performance.

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References

Banguero Palacios, E. (2020). Modelado, estudio y validación experimental de la influencia de los parámetros internos en el rendimiento de sistemas de almacenamiento de energía basados en baterías. Aplicación al caso del Departamento del Chocó (Colombia) (Doctoral dissertation, Universitat Politècnica de València).

Bio (2023) Battery states: State of charge (SoC), State of Health (SoH). Electrochemistry basics series. www.biologic.net/topics/battery-states-state-of-charge-soc-state-of-health-soh/ t

Conde Velasco, A. (2020). Estudio, análisis y desarrollo de un modelo genérico de envejecimiento para baterías de ion-litio. aplicación a LFP y NMC (Doctoral dissertation, Industriales).

Gao, Y., Zhang, X., Yang, J., & Guo, B. (2018). Estimation of state-of-charge and state-of-health for lithium-ion degraded battery considering side reactions. Journal of the electrochemical society, 165(16), A4018.

Hu, X., Yuan, H., Zou, C., Li, Z., & Zhang, L. (2018). Co-estimation of state of charge and state of health for lithium-ion batteries based on fractional-order calculus. IEEE Transactions on Vehicular Technology, 67(11), 10319-10329.

Liu, B., Tang, X., & Gao, F. (2020). Joint estimation of battery state-of-charge and state-of-health based on a simplified pseudo-two-dimensional model. Electrochimica Acta, 344, 136098.

Millán Quintero, J. A., & Gracia Gallón, J. A. A. Modelo de logística inversa para la recuperación y aprovechamiento de residuos de baterias fuera de uso en el Norte del Valle del Cauca [recurso electrónico] (Doctoral dissertation).

Núñez Sánchez, S. D., & Ortiz Lemache, A. S. (2021). Diseño y construcción de un banco para diagnóstico de baterías utilizadas en vehículos híbridos y eléctricos, para el taller “Electromecánica Gamboa”.

Peyré, F. R. (2020). 632. Aprovechamiento del litio en la Argentina–Realidades, desafíos y perspectivas en un mundo globalizado. Scripta Nova. Revista Electrónica de Geografía y Ciencias Sociales, 24.

Quintero, V. (2021). Baterías de Ion Litio: características y aplicaciones. I+ D Tecnológico, 17(1), 14-22. http://portal.amelica.org/ameli/jatsRepo/339/3392002003/html/index.html

Tong, S., Klein, M. P., & Park, J. W. (2015). On-line optimization of battery open circuit voltage for improved state-of-charge and state-of-health estimation. Journal of Power Sources, 293, 416-428.

Villasol López, A., Díaz Santos, R., & Castro Fernández, M. (2023). Análisis de las potencialidades de un laboratorio para pruebas y homologación de baterías para vehículos eléctricos. Ingeniería Energética, 44(1), 132-142.

Published
2023-11-30
How to Cite
Verdín-Tavares, A. L., Bravo-Valtierra, E. M., Cárdenas-Valdez, J. R., & Calvillo-Téllez, Ándres. (2023). IoT battery health meter. Pädi Boletín Científico De Ciencias Básicas E Ingenierías Del ICBI, 11(Especial4), 62-66. https://doi.org/10.29057/icbi.v11iEspecial4.11430

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