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Modeling and Simulation of a Commercial Lithium-Ion Battery with Charge Cycle Predictions

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Listed:
  • Mónica Camas-Náfate

    (Centro Universitario de Tonalá, Universidad de Guadalajara, Avenida Nuevo Periférico 555, Ejido San José Tatepozco, Tonalá 45425, Mexico)

  • Alberto Coronado-Mendoza

    (Centro Universitario de Tonalá, Universidad de Guadalajara, Avenida Nuevo Periférico 555, Ejido San José Tatepozco, Tonalá 45425, Mexico)

  • Carlos Jesahel Vega-Gómez

    (Centro Universitario de Tonalá, Universidad de Guadalajara, Avenida Nuevo Periférico 555, Ejido San José Tatepozco, Tonalá 45425, Mexico)

  • Francisco Espinosa-Moreno

    (Dirección de Investigación y Posgrado, Universidad Tecnológica de Tlaxcala, Carretera a El Carmen, Xalpatlahuaya, Huamantla 90500, Mexico)

Abstract

The analysis of the behavior of lithium-ion batteries has gained considerable interest in recent years. There are different alternatives for the analysis of this behavior; however, depending on the type of modeling, there are application and optimization restrictions. In this work, a hybrid model has been made that is capable of predicting the characteristics of a lithium-ion battery. As a novelty, the simplification, at the same time, facilitates the sampling of parameters for their prompt selection for optimization. A new model open to the user is proposed, which has proven to be efficient in simulation time. For example, one hour simulates it in 5 min, providing information detailing how these parameters, State of Health (SOH), Open Circuit Voltage (VOC), State of charge (SOC), and Number of charge and discharge cycles, in the face of temperature variations and charge and discharge cycles. Opening the possibility of optimizing the parameters with different techniques to estimate the performance and dynamics in the face of temperature change and charge and discharge cycles. A model based on linear regressions, manufacturer characteristics, and integrating equations in the electrical model of electrochemical phenomena is proposed.

Suggested Citation

  • Mónica Camas-Náfate & Alberto Coronado-Mendoza & Carlos Jesahel Vega-Gómez & Francisco Espinosa-Moreno, 2022. "Modeling and Simulation of a Commercial Lithium-Ion Battery with Charge Cycle Predictions," Sustainability, MDPI, vol. 14(21), pages 1-17, October.
    • Handle: RePEc:gam:jsusta:v:14:y:2022:i:21:p:14035-:d:955910
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    References listed on IDEAS

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