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A reflection on lithium-ion battery cathode chemistry

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  • Arumugam Manthiram

    (University of Texas at Austin)

Abstract

Lithium-ion batteries have aided the portable electronics revolution for nearly three decades. They are now enabling vehicle electrification and beginning to enter the utility industry. The emergence and dominance of lithium-ion batteries are due to their higher energy density compared to other rechargeable battery systems, enabled by the design and development of high-energy density electrode materials. Basic science research, involving solid-state chemistry and physics, has been at the center of this endeavor, particularly during the 1970s and 1980s. With the award of the 2019 Nobel Prize in Chemistry to the development of lithium-ion batteries, it is enlightening to look back at the evolution of the cathode chemistry that made the modern lithium-ion technology feasible. This review article provides a reflection on how fundamental studies have facilitated the discovery, optimization, and rational design of three major categories of oxide cathodes for lithium-ion batteries, and a personal perspective on the future of this important area.

Suggested Citation

  • Arumugam Manthiram, 2020. "A reflection on lithium-ion battery cathode chemistry," Nature Communications, Nature, vol. 11(1), pages 1-9, December.
  • Handle: RePEc:nat:natcom:v:11:y:2020:i:1:d:10.1038_s41467-020-15355-0
    DOI: 10.1038/s41467-020-15355-0
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    Cited by:

    1. Ye, Yiming & Wang, Hanchen & Xu, Bin & Zhang, Jiangfeng, 2023. "An imitation learning-based energy management strategy for electric vehicles considering battery aging," Energy, Elsevier, vol. 283(C).
    2. Yang, Yang & Xing, Kai & Yan, Minyue & Zhu, Xun & Ye, Dingding & Chen, Rong & Liao, Qiang, 2023. "A potential flexible fuel cell with dual-functional hydrogel based on multi-component crosslinked hybrid polyvinyl alcohol," Energy, Elsevier, vol. 265(C).
    3. Hyeona Kim & Sung-Beom Kim & Deok-Hye Park & Kyung-Won Park, 2020. "Fluorine-Doped LiNi 0.8 Mn 0.1 Co 0.1 O 2 Cathode for High-Performance Lithium-Ion Batteries," Energies, MDPI, vol. 13(18), pages 1-10, September.
    4. Helton Rogger Regatieri & Oswaldo Hideo Ando Junior & José Ricardo Cezar Salgado, 2022. "Systematic Review of Lithium-Ion Battery Recycling Literature Using ProKnow-C and Methodi Ordinatio," Energies, MDPI, vol. 15(4), pages 1-23, February.
    5. Daems, K. & Yadav, P. & Dermenci, K.B. & Van Mierlo, J. & Berecibar, M., 2024. "Advances in inorganic, polymer and composite electrolytes: Mechanisms of Lithium-ion transport and pathways to enhanced performance," Renewable and Sustainable Energy Reviews, Elsevier, vol. 191(C).
    6. Mi Tian & Yanchunxiao Qi & Eun-Suok Oh, 2021. "Application of a Polyacrylate Latex to a Lithium Iron Phosphate Cathode as a Binder Material," Energies, MDPI, vol. 14(7), pages 1-10, March.
    7. Da-Won Lee & Achmad Yanuar Maulana & Chaeeun Lee & Jungwook Song & Cybelle M. Futalan & Jongsik Kim, 2021. "Enhanced Electrochemical Performances of Hollow-Structured N-Doped Carbon Derived from a Zeolitic Imidazole Framework (ZIF-8) Coated by Polydopamine as an Anode for Lithium-Ion Batteries," Energies, MDPI, vol. 14(9), pages 1-12, April.
    8. G. Calcagno & M. Agostini & S. Xiong & A. Matic & A. E. C. Palmqvist & C. Cavallo, 2020. "Effect of Nitrogen Doping on the Performance of Mesoporous CMK-8 Carbon Anodes for Li-Ion Batteries," Energies, MDPI, vol. 13(19), pages 1-13, September.
    9. Xu, Bin & Shi, Junzhe & Li, Sixu & Li, Huayi & Wang, Zhe, 2021. "Energy consumption and battery aging minimization using a Q-learning strategy for a battery/ultracapacitor electric vehicle," Energy, Elsevier, vol. 229(C).
    10. Román-Ramírez, L.A. & Marco, J., 2022. "Design of experiments applied to lithium-ion batteries: A literature review," Applied Energy, Elsevier, vol. 320(C).
    11. Justyna E. Frąckiewicz & Tomasz K. Pietrzak & Maciej Boczar & Dominika A. Buchberger & Marek Wasiucionek & Andrzej Czerwiński & Jerzy E. Garbarczyk, 2021. "Electrochemical Properties of Pristine and Vanadium Doped LiFePO 4 Nanocrystallized Glasses," Energies, MDPI, vol. 14(23), pages 1-10, December.
    12. Ghorbani, Yousef & Zhang, Steven E. & Bourdeau, Julie E. & Chipangamate, Nelson S. & Rose, Derek H. & Valodia, Imraan & Nwaila, Glen T., 2024. "The strategic role of lithium in the green energy transition: Towards an OPEC-style framework for green energy-mineral exporting countries (GEMEC)," Resources Policy, Elsevier, vol. 90(C).
    13. Pitchai Ragupathy & Santoshkumar Dattatray Bhat & Nallathamby Kalaiselvi, 2023. "Electrochemical energy storage and conversion: An overview," Wiley Interdisciplinary Reviews: Energy and Environment, Wiley Blackwell, vol. 12(2), March.
    14. Kang, Jihyeon & Atwair, Mohamed & Nam, Inho & Lee, Chul-Jin, 2023. "Experimental and numerical investigation on effects of thickness of NCM622 cathode in Li-ion batteries for high energy and power density," Energy, Elsevier, vol. 263(PE).
    15. Badreah Ali Al Jahdaly & Mohamed Farouk Elsadek & Badreldin Mohamed Ahmed & Mohamed Fawzy Farahat & Mohamed M. Taher & Ahmed M. Khalil, 2021. "Outstanding Graphene Quantum Dots from Carbon Source for Biomedical and Corrosion Inhibition Applications: A Review," Sustainability, MDPI, vol. 13(4), pages 1-33, February.
    16. Du, Yufan & Li, Jie & Xu, Yuan, 2024. "Will carbon neutrality alleviate China's energy security concerns? – The strategic importance of critical metals in batteries," Resources Policy, Elsevier, vol. 93(C).
    17. Seongjae Ko & Xiao Han & Tatau Shimada & Norio Takenaka & Yuki Yamada & Atsuo Yamada, 2023. "Electrolyte design for lithium-ion batteries with a cobalt-free cathode and silicon oxide anode," Nature Sustainability, Nature, vol. 6(12), pages 1705-1714, December.
    18. Yanamandra, Kaushik & Pinisetty, Dinesh & Gupta, Nikhil, 2023. "Impact of carbon additives on lead-acid battery electrodes: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 173(C).
    19. Bockrath, Steffen & Lorentz, Vincent & Pruckner, Marco, 2023. "State of health estimation of lithium-ion batteries with a temporal convolutional neural network using partial load profiles," Applied Energy, Elsevier, vol. 329(C).

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