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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
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    References listed on IDEAS

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    2. 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.
    3. 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.
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    5. 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.
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