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The Role of Industry 4.0 Technologies in the Energy Transition: Conceptual Design of Intelligent Battery Management System Based on Electrochemical Impedance Spectroscopy Analysis

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Innovation and Competitiveness in Industry 4.0 Based on Intelligent Systems

Part of the book series: EAI/Springer Innovations in Communication and Computing ((EAISICC))

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Abstract

Electric mobile vehicles are promising technologies intended to accelerate the clean energy transition. In this regard, the battery management system will be critical in deploying this revolution since it might help with cost reduction, life cycling, and battery improvements. Herein, the authors investigated the use of Industry 4.0 (I4.0) technologies by adopting a machine learning approach to develop a tool to assess its versatility in estimating the lifetime of batteries. For this purpose, the authors propose a framework that employs electrochemical impedance spectroscopy (EIS) technique to unveil the batteries’ electrical parameters in real-time or off-line mode and then predict their state of health (SoH) and lifetime. Finally, this chapter proposes a genetic algorithm to solve mathematical equations for the proposed electrical circuit model, which fits the experimental EIS curve under two different stages.

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Abbreviations

BMS:

battery management system

EIS:

electrochemical impedance spectroscopy

ESD:

energy storage devices

ESS:

energy storage systems

EV:

electric vehicle

DC:

direct current

GA:

genetic algorithm

IoT:

Internet of Things

I4.0:

fourth industrial revolution

LIB:

lithium-ion battery

ResNet:

residual neural network

RUL:

remaining useful life

SEM:

scanning electronic microscopy

SoC:

state of charge

SoH:

state of health

TCN:

temporal convolutional neural

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Acknowledgments

We gratefully acknowledge the time and infrastructure the Polytechnic University of Victoria provided.

Conflict of Interest

The authors declare no competing interest.

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Authors and Affiliations

  1. Universidad Politécnica de Victoria, Departamento de maestría en Ingeniería, Parque Científico y Tecnológico de Tamaulipas, Ciudad Victoria, Tamaulipas, Mexico

    W. J. Pech-Rodríguez, Enrique Rocha-Rangel, Eddie N. Armendáriz-Mireles & Gladis G. Suarez-Velázquez

  2. Centro de Investigación Científica de Yucatán, Unidad de Energía Renovable, Yucatán, Mexico

    L. C. Ordóñez

Authors
  1. W. J. Pech-Rodríguez
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  2. Enrique Rocha-Rangel
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  3. Eddie N. Armendáriz-Mireles
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  4. Gladis G. Suarez-Velázquez
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  5. L. C. Ordóñez
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Corresponding author

Correspondence to W. J. Pech-Rodríguez .

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Editors and Affiliations

  1. Industrial Engineering and Manufacturing, Universidad Autónoma de Ciudad Juárez, Ciudad Juárez, Chihuahua, Mexico

    Luis Carlos Méndez-González

  2. Industrial Engineering and Manufacturing, Universidad Autónoma de Ciudad Juárez, Ciudad Juárez, Chihuahua, Mexico

    Luis Alberto Rodríguez-Picón

  3. Industrial Engineering and Manufacturing, Universidad Autónoma de Ciudad Juárez, Ciudad Juárez, Chihuahua, Mexico

    Iván Juan Carlos Pérez Olguín

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Pech-Rodríguez, W.J., Rocha-Rangel, E., Armendáriz-Mireles, E.N., Suarez-Velázquez, G.G., Ordóñez, L.C. (2023). The Role of Industry 4.0 Technologies in the Energy Transition: Conceptual Design of Intelligent Battery Management System Based on Electrochemical Impedance Spectroscopy Analysis. In: Méndez-González, L.C., Rodríguez-Picón, L.A., Pérez Olguín, I.J.C. (eds) Innovation and Competitiveness in Industry 4.0 Based on Intelligent Systems. EAI/Springer Innovations in Communication and Computing. Springer, Cham. https://doi.org/10.1007/978-3-031-29775-5_8

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  • DOI: https://doi.org/10.1007/978-3-031-29775-5_8

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