IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v16y2023i5p2458-d1087914.html
   My bibliography  Save this article

Outlook of Lithium-Ion Battery Regulations and Procedures to Improve Cell Degradation Detection and Other Alternatives

Author

Listed:
  • Maria Cortada-Torbellino

    (Department of Electronics, Electrical Engineering and Automatic Control, Universitat Rovira i Virgili, 43007 Tarragona, Spain)

  • Abdelali El Aroudi

    (Department of Electronics, Electrical Engineering and Automatic Control, Universitat Rovira i Virgili, 43007 Tarragona, Spain)

  • Hugo Valderrama-Blavi

    (Department of Electronics, Electrical Engineering and Automatic Control, Universitat Rovira i Virgili, 43007 Tarragona, Spain)

Abstract

This article constitutes a relatively new perspective that has emerged from the need to reduce environmental pollution from internal combustion engine vehicles (ICEVs) by reinforcing the fleet of electric vehicles (EVs) on the road. Future requirements to exclusively use zero-emission vehicles have resulted in the necessity of enhancing the testing and monitoring process for EVs in order to release reliable devices. The unpredictable response of lithium-ion batteries (LIBS), future lack of raw materials, and inconsistencies in the present regulations must be reviewed and understood in order to develop enhanced batteries. This article aims to outline the future perspective of nonconventional vehicles monopolizing the roads by year 2035 in order to eradicate CO 2 emissions by year 2050.

Suggested Citation

  • Maria Cortada-Torbellino & Abdelali El Aroudi & Hugo Valderrama-Blavi, 2023. "Outlook of Lithium-Ion Battery Regulations and Procedures to Improve Cell Degradation Detection and Other Alternatives," Energies, MDPI, vol. 16(5), pages 1-13, March.
    • Handle: RePEc:gam:jeners:v:16:y:2023:i:5:p:2458-:d:1087914
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/16/5/2458/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1996-1073/16/5/2458/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. James Michael Hooper & James Marco & Gael Henri Chouchelamane & Christopher Lyness & James Taylor, 2016. "Vibration Durability Testing of Nickel Cobalt Aluminum Oxide (NCA) Lithium-Ion 18650 Battery Cells," Energies, MDPI, vol. 9(4), pages 1-18, April.
    2. Lingxi Kong & Diganta Das & Michael G. Pecht, 2022. "The Distribution and Detection Issues of Counterfeit Lithium-Ion Batteries," Energies, MDPI, vol. 15(10), pages 1-13, May.
    3. Sumukh Surya & Vidya Rao & Sheldon S. Williamson, 2021. "Comprehensive Review on Smart Techniques for Estimation of State of Health for Battery Management System Application," Energies, MDPI, vol. 14(15), pages 1-22, July.
    4. Shuqing Li & Chuankun Ju & Jianliang Li & Ri Fang & Zhifei Tao & Bo Li & Tingting Zhang, 2021. "State-of-Charge Estimation of Lithium-Ion Batteries in the Battery Degradation Process Based on Recurrent Neural Network," Energies, MDPI, vol. 14(2), pages 1-21, January.
    5. James Michael Hooper & James Marco & Gael Henri Chouchelamane & Christopher Lyness, 2016. "Vibration Durability Testing of Nickel Manganese Cobalt Oxide (NMC) Lithium-Ion 18,650 Battery Cells," Energies, MDPI, vol. 9(1), pages 1-27, January.
    6. Sohn, Suyeon & Byun, Ha-Eun & Lee, Jay H., 2022. "Two-stage deep learning for online prediction of knee-point in Li-ion battery capacity degradation," Applied Energy, Elsevier, vol. 328(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. Limhi Somerville & James Michael Hooper & James Marco & Andrew McGordon & Chris Lyness & Marc Walker & Paul Jennings, 2017. "Impact of Vibration on the Surface Film of Lithium-Ion Cells," Energies, MDPI, vol. 10(6), pages 1-12, May.
    2. Zhenhai Gao & Xiaoting Zhang & Yang Xiao & Hao Gao & Huiyuan Wang & Changhao Piao, 2019. "Influence of Low-Temperature Charge on the Mechanical Integrity Behavior of 18650 Lithium-Ion Battery Cells Subject to Lateral Compression," Energies, MDPI, vol. 12(5), pages 1-17, February.
    3. Hartmut Popp & Gregor Glanz & Karoline Alten & Irina Gocheva & Wernfried Berghold & Alexander Bergmann, 2018. "Mechanical Frequency Response Analysis of Lithium-Ion Batteries to Disclose Operational Parameters," Energies, MDPI, vol. 11(3), pages 1-13, March.
    4. Lijun Zhang & Zhongqiang Mu & Xiangyu Gao, 2018. "Coupling Analysis and Performance Study of Commercial 18650 Lithium-Ion Batteries under Conditions of Temperature and Vibration," Energies, MDPI, vol. 11(10), pages 1-27, October.
    5. Sandra Castano-Solis & Daniel Serrano-Jimenez & Lucia Gauchia & Javier Sanz, 2017. "The Influence of BMSs on the Characterization and Modeling of Series and Parallel Li-Ion Packs," Energies, MDPI, vol. 10(3), pages 1-13, February.
    6. James Michael Hooper & James Marco & Gael Henri Chouchelamane & Christopher Lyness & James Taylor, 2016. "Vibration Durability Testing of Nickel Cobalt Aluminum Oxide (NCA) Lithium-Ion 18650 Battery Cells," Energies, MDPI, vol. 9(4), pages 1-18, April.
    7. Cui, Zhenhua & Kang, Le & Li, Liwei & Wang, Licheng & Wang, Kai, 2022. "A hybrid neural network model with improved input for state of charge estimation of lithium-ion battery at low temperatures," Renewable Energy, Elsevier, vol. 198(C), pages 1328-1340.
    8. Fei, Zicheng & Yang, Fangfang & Tsui, Kwok-Leung & Li, Lishuai & Zhang, Zijun, 2021. "Early prediction of battery lifetime via a machine learning based framework," Energy, Elsevier, vol. 225(C).
    9. Yunfeng Jiang & Xin Zhao & Amir Valibeygi & Raymond A. De Callafon, 2016. "Dynamic Prediction of Power Storage and Delivery by Data-Based Fractional Differential Models of a Lithium Iron Phosphate Battery," Energies, MDPI, vol. 9(8), pages 1-17, July.
    10. Yirga Belay Muna & Cheng-Chien Kuo, 2022. "Feasibility and Techno-Economic Analysis of Electric Vehicle Charging of PV/Wind/Diesel/Battery Hybrid Energy System with Different Battery Technology," Energies, MDPI, vol. 15(12), pages 1-20, June.
    11. Thomas Bruen & James Michael Hooper & James Marco & Miguel Gama & Gael Henri Chouchelamane, 2016. "Analysis of a Battery Management System (BMS) Control Strategy for Vibration Aged Nickel Manganese Cobalt Oxide (NMC) Lithium-Ion 18650 Battery Cells," Energies, MDPI, vol. 9(4), pages 1-20, April.
    12. Siyi Tao & Bo Jiang & Xuezhe Wei & Haifeng Dai, 2023. "A Systematic and Comparative Study of Distinct Recurrent Neural Networks for Lithium-Ion Battery State-of-Charge Estimation in Electric Vehicles," Energies, MDPI, vol. 16(4), pages 1-17, February.
    13. Zeinab Teimoori & Abdulsalam Yassine, 2022. "A Review on Intelligent Energy Management Systems for Future Electric Vehicle Transportation," Sustainability, MDPI, vol. 14(21), pages 1-23, October.
    14. Ivana Semanjski & Sidharta Gautama, 2016. "Forecasting the State of Health of Electric Vehicle Batteries to Evaluate the Viability of Car Sharing Practices," Energies, MDPI, vol. 9(12), pages 1-17, December.
    15. Timur Yunusov & Maximilian J. Zangs & William Holderbaum, 2017. "Control of Energy Storage," Energies, MDPI, vol. 10(7), pages 1-5, July.
    16. Jikai Bi & Jae-Cheon Lee & Hao Liu, 2022. "Performance Comparison of Long Short-Term Memory and a Temporal Convolutional Network for State of Health Estimation of a Lithium-Ion Battery using Its Charging Characteristics," Energies, MDPI, vol. 15(7), pages 1-24, March.
    17. Yashraj Tripathy & Andrew McGordon & Chee Tong John Low, 2018. "A New Consideration for Validating Battery Performance at Low Ambient Temperatures," Energies, MDPI, vol. 11(9), pages 1-16, September.
    18. Giacomo Talluri & Gabriele Maria Lozito & Francesco Grasso & Carlos Iturrino Garcia & Antonio Luchetta, 2021. "Optimal Battery Energy Storage System Scheduling within Renewable Energy Communities," Energies, MDPI, vol. 14(24), pages 1-23, December.
    19. Seo, Minhwan & Song, Youngbin & Kim, Jake & Paek, Sung Wook & Kim, Gi-Heon & Kim, Sang Woo, 2021. "Innovative lumped-battery model for state of charge estimation of lithium-ion batteries under various ambient temperatures," Energy, Elsevier, vol. 226(C).
    20. Semeraro, Concetta & Caggiano, Mariateresa & Olabi, Abdul-Ghani & Dassisti, Michele, 2022. "Battery monitoring and prognostics optimization techniques: Challenges and opportunities," Energy, Elsevier, vol. 255(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:jeners:v:16:y:2023:i:5:p:2458-:d:1087914. 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.