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Studying Abuse Testing on Lithium-Ion Battery Packaging for Energy Storage Systems

Author

Listed:
  • Joelton Deonei Gotz

    (Graduate Program in Mechanical and Materials Engineering (PPGEM), Universidade Tecnológica Federal do Paraná (UTFPR), Curitiba 81280-340, PR, Brazil)

  • João Eustáquio Machado Neto

    (Graduate Program in Electrical Engineer (PPGEE), Universidade Tecnológica Federal do Paraná (UTFPR), Ponta Grossa 81217-220, PR, Brazil)

  • José Rodolfo Galvão

    (Graduate Program in Electrical Engineer (PPGEE), Universidade Tecnológica Federal do Paraná (UTFPR), Ponta Grossa 81217-220, PR, Brazil)

  • Taysa Millena Banik Marques

    (Graduate Program in Electrical Engineer (PPGEE), Universidade Tecnológica Federal do Paraná (UTFPR), Ponta Grossa 81217-220, PR, Brazil)

  • Hugo Valadares Siqueira

    (Graduate Program in Electrical Engineer (PPGEE), Universidade Tecnológica Federal do Paraná (UTFPR), Ponta Grossa 81217-220, PR, Brazil)

  • Emilson Ribeiro Viana

    (Physics Department, Universidade Tecnológica Federal do Paraná (UTFPR), Curitiba 80230-901, PR, Brazil)

  • Manoel H. N. Marinho

    (Escola Politécnica de Pernambuco, Universidade de Permambuco, Recife 50720-001, PE, Brazil)

  • Mohamed A. Mohamed

    (Department of Electrical Engineering, Faculty of Engineering, Minia University, Minia 61519, Egypt)

  • Adrian Ilinca

    (Department of Mechanical Engineering, École de Technologie Supérieure, 1100, Rue Notre-Dame Ouest, Montréal, QC H3C 1K3, Canada)

  • Fernanda Cristina Corrêa

    (Graduate Program in Electrical Engineer (PPGEE), Universidade Tecnológica Federal do Paraná (UTFPR), Ponta Grossa 81217-220, PR, Brazil)

  • Milton Borsato

    (Graduate Program in Mechanical and Materials Engineering (PPGEM), Universidade Tecnológica Federal do Paraná (UTFPR), Curitiba 81280-340, PR, Brazil)

Abstract

Recently, the increased adoption of electric vehicles (EVs) has significantly demanded new energy storage systems (ESS) technologies. In this way, Lithium-ion batteries (LIB) are the mainstream technology for this application. Lithium presents several advantages compared with other chemicals because it can provide delivery energy for a long time, a long lifetime, and high density and capacity. The LIB comprises several cells connected in different configurations, such as parallel, series, or combinations. This variety of designs makes the monitoring control process more complex, complicating diagnosing and prognosis of abuses and failures. To observe these difficulties, this paper presents sixteen experiments of a mini-packing of four cells under the main abuses found in the LIB. The time series data were collected during the abuses and saved in a CSV file. The results indicated that the current, temperature, and voltage should be used to identify the external short-circuit (ESC) failures in the packing of batteries. On the other side, only the voltage signature is able to determine the Over-Charging (OC), and finally, the combination of temperature and voltage should be used to identify and locate the Over-Discharging (OD) failures in different arrangements of packing. This study also provides ways to build mechanisms to protect the cells and avoid loss of performance and safety issues.

Suggested Citation

  • Joelton Deonei Gotz & João Eustáquio Machado Neto & José Rodolfo Galvão & Taysa Millena Banik Marques & Hugo Valadares Siqueira & Emilson Ribeiro Viana & Manoel H. N. Marinho & Mohamed A. Mohamed & Ad, 2023. "Studying Abuse Testing on Lithium-Ion Battery Packaging for Energy Storage Systems," Sustainability, MDPI, vol. 15(15), pages 1-18, July.
    • Handle: RePEc:gam:jsusta:v:15:y:2023:i:15:p:11545-:d:1202819
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    References listed on IDEAS

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    1. Mohammadmahdi Ghiji & Vasily Novozhilov & Khalid Moinuddin & Paul Joseph & Ian Burch & Brigitta Suendermann & Grant Gamble, 2020. "A Review of Lithium-Ion Battery Fire Suppression," Energies, MDPI, vol. 13(19), pages 1-30, October.
    2. Tatiane Costa & Ayrlw Arcanjo & Andrea Vasconcelos & Washington Silva & Claudia Azevedo & Alex Pereira & Eduardo Jatobá & José Bione Filho & Elisabete Barreto & Marcelo Gradella Villalva & Manoel Mari, 2023. "Development of a Method for Sizing a Hybrid Battery Energy Storage System for Application in AC Microgrid," Energies, MDPI, vol. 16(3), pages 1-24, January.
    3. Felipe Ramos & Aline Pinheiro & Rafaela Nascimento & Washington de Araujo Silva Junior & Mohamed A. Mohamed & Andres Annuk & Manoel H. N. Marinho, 2022. "Development of Operation Strategy for Battery Energy Storage System into Hybrid AC Microgrids," Sustainability, MDPI, vol. 14(21), pages 1-26, October.
    4. Mohamed Daowd & Mailier Antoine & Noshin Omar & Philippe Lataire & Peter Van Den Bossche & Joeri Van Mierlo, 2014. "Battery Management System—Balancing Modularization Based on a Single Switched Capacitor and Bi-Directional DC/DC Converter with the Auxiliary Battery," Energies, MDPI, vol. 7(5), pages 1-41, April.
    5. Rafaela Nascimento & Felipe Ramos & Aline Pinheiro & Washington de Araujo Silva Junior & Ayrlw M. C. Arcanjo & Roberto F. Dias Filho & Mohamed A. Mohamed & Manoel H. N. Marinho, 2022. "Case Study of Backup Application with Energy Storage in Microgrids," Energies, MDPI, vol. 15(24), pages 1-12, December.
    6. Yao Ahoutou & Adrian Ilinca & Mohamad Issa, 2022. "Electrochemical Cells and Storage Technologies to Increase Renewable Energy Share in Cold Climate Conditions—A Critical Assessment," Energies, MDPI, vol. 15(4), pages 1-30, February.
    7. Hugo Siqueira & Mariana Macedo & Yara de Souza Tadano & Thiago Antonini Alves & Sergio L. Stevan & Domingos S. Oliveira & Manoel H.N. Marinho & Paulo S.G. de Mattos Neto & João F. L. de Oliveira & Ive, 2020. "Selection of Temporal Lags for Predicting Riverflow Series from Hydroelectric Plants Using Variable Selection Methods," Energies, MDPI, vol. 13(16), pages 1-35, August.
    8. Zhang, Caiping & Jiang, Yan & Jiang, Jiuchun & Cheng, Gong & Diao, Weiping & Zhang, Weige, 2017. "Study on battery pack consistency evolutions and equilibrium diagnosis for serial- connected lithium-ion batteries," Applied Energy, Elsevier, vol. 207(C), pages 510-519.
    9. Zheng, Changwen & Chen, Ziqiang & Huang, Deyang, 2020. "Fault diagnosis of voltage sensor and current sensor for lithium-ion battery pack using hybrid system modeling and unscented particle filter," Energy, Elsevier, vol. 191(C).
    10. Kang, Yongzhe & Duan, Bin & Zhou, Zhongkai & Shang, Yunlong & Zhang, Chenghui, 2020. "Online multi-fault detection and diagnosis for battery packs in electric vehicles," Applied Energy, Elsevier, vol. 259(C).
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