IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v15y2023i15p11545-d1202819.html
   My bibliography  Save this article

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
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/15/15/11545/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2071-1050/15/15/11545/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. 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.
    2. 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.
    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. 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.
    7. 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).
    8. 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.
    9. 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.
    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).
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Mariana de Morais Cavalcanti & Tatiane Costa & Alex C. Pereira & Eduardo B. Jatobá & José Bione de Melo Filho & Elisabete Barreto & Mohamed A. Mohamed & Adrian Ilinca & Manoel H. N. Marinho, 2023. "Case Studies for Supplying the Alternating Current Auxiliary Systems of Substations with a Voltage Equal to or Higher than 230 kV," Energies, MDPI, vol. 16(14), pages 1-25, July.
    2. Ren, Song & Sun, Jing, 2024. "Multi-fault diagnosis strategy based on a non-redundant interleaved measurement circuit and improved fuzzy entropy for the battery system," Energy, Elsevier, vol. 292(C).
    3. Yu, Quanqing & Dai, Lei & Xiong, Rui & Chen, Zeyu & Zhang, Xin & Shen, Weixiang, 2022. "Current sensor fault diagnosis method based on an improved equivalent circuit battery model," Applied Energy, Elsevier, vol. 310(C).
    4. Xianyang Cui & Yulong Liu & Ding Yuan & Tao Jin & Mohamed A. Mohamed, 2023. "A New Five-Port Energy Router Structure and Common Bus Voltage Stabilization Control Strategy," Sustainability, MDPI, vol. 15(4), pages 1-20, February.
    5. Antonio Venancio M. L. Filho & Andrea S. M. Vasconcelos & Washington de A. S. Junior & Nicolau K. L. Dantas & Ayrlw Maynyson C. Arcanjo & Amanda C. M. Souza & Amanda L. Fernandes & Kaihang Zhang & Kun, 2023. "Impact Analysis and Energy Quality of Photovoltaic, Electric Vehicle and BESS Lead-Carbon Recharge Station in Brazil," Energies, MDPI, vol. 16(5), pages 1-18, March.
    6. Ailton Gonçalves & Gustavo O. Cavalcanti & Marcílio A. F. Feitosa & Roberto F. Dias Filho & Alex C. Pereira & Eduardo B. Jatobá & José Bione de Melo Filho & Manoel H. N. Marinho & Attilio Converti & L, 2023. "Optimal Sizing of a Photovoltaic/Battery Energy Storage System to Supply Electric Substation Auxiliary Systems under Contingency," Energies, MDPI, vol. 16(13), pages 1-17, July.
    7. Diego Jose da Silva & Edmarcio Antonio Belati & Jesús M. López-Lezama, 2023. "A Mathematical Programming Approach for the Optimal Operation of Storage Systems, Photovoltaic and Wind Power Generation," Energies, MDPI, vol. 16(3), pages 1-24, January.
    8. Chang, Chun & Wu, Yutong & Jiang, Jiuchun & Jiang, Yan & Tian, Aina & Li, Taiyu & Gao, Yang, 2022. "Prognostics of the state of health for lithium-ion battery packs in energy storage applications," Energy, Elsevier, vol. 239(PB).
    9. Hu, Lin & Hu, Xiaosong & Che, Yunhong & Feng, Fei & Lin, Xianke & Zhang, Zhiyong, 2020. "Reliable state of charge estimation of battery packs using fuzzy adaptive federated filtering," Applied Energy, Elsevier, vol. 262(C).
    10. He, Xitian & Sun, Bingxiang & Zhang, Weige & Su, Xiaojia & Ma, Shichang & Li, Hao & Ruan, Haijun, 2023. "Inconsistency modeling of lithium-ion battery pack based on variational auto-encoder considering multi-parameter correlation," Energy, Elsevier, vol. 277(C).
    11. Xinwei Cong & Caiping Zhang & Jiuchun Jiang & Weige Zhang & Yan Jiang & Linjing Zhang, 2021. "A Comprehensive Signal-Based Fault Diagnosis Method for Lithium-Ion Batteries in Electric Vehicles," Energies, MDPI, vol. 14(5), pages 1-21, February.
    12. Balakumar Balasingam & Mostafa Ahmed & Krishna Pattipati, 2020. "Battery Management Systems—Challenges and Some Solutions," Energies, MDPI, vol. 13(11), pages 1-19, June.
    13. Wenshang Chen & Yang Liu & Ben Chen, 2022. "Numerical Simulation on Pressure Dynamic Response Characteristics of Hydrogen Systems for Fuel Cell Vehicles," Energies, MDPI, vol. 15(7), pages 1-18, March.
    14. José Manuel Andújar & Francisca Segura & Jesús Rey & Francisco José Vivas, 2022. "Batteries and Hydrogen Storage: Technical Analysis and Commercial Revision to Select the Best Option," Energies, MDPI, vol. 15(17), pages 1-32, August.
    15. Liu, Qiquan & Ma, Jian & Zhao, Xuan & Zhang, Kai & Meng, Dean, 2023. "Online diagnosis and prediction of power battery voltage comprehensive faults for electric vehicles based on multi-parameter characterization and improved K-means method," Energy, Elsevier, vol. 283(C).
    16. Ma, Chen & Chang, Long & Cui, Naxin & Duan, Bin & Zhang, Yulong & Yu, Zhihao, 2022. "Statistical relationships between numerous retired lithium-ion cells and packs with random sampling for echelon utilization," Energy, Elsevier, vol. 257(C).
    17. Shen, Dongxu & Wu, Lifeng & Kang, Guoqing & Guan, Yong & Peng, Zhen, 2021. "A novel online method for predicting the remaining useful life of lithium-ion batteries considering random variable discharge current," Energy, Elsevier, vol. 218(C).
    18. Kong, Jin-zhen & Yang, Fangfang & Zhang, Xi & Pan, Ershun & Peng, Zhike & Wang, Dong, 2021. "Voltage-temperature health feature extraction to improve prognostics and health management of lithium-ion batteries," Energy, Elsevier, vol. 223(C).
    19. Lyu, Guangzheng & Zhang, Heng & Miao, Qiang, 2023. "An interpretable state of health estimation method for lithium-ion batteries based on multi-category and multi-stage features," Energy, Elsevier, vol. 283(C).
    20. Xiong, Rui & Sun, Wanzhou & Yu, Quanqing & Sun, Fengchun, 2020. "Research progress, challenges and prospects of fault diagnosis on battery system of electric vehicles," Applied Energy, Elsevier, vol. 279(C).

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jsusta:v:15:y:2023:i:15:p:11545-:d:1202819. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.