A review on FexOy-based materials for advanced lithium-ion batteries
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DOI: 10.1016/j.rser.2020.109884
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- P. Poizot & S. Laruelle & S. Grugeon & L. Dupont & J-M. Tarascon, 2000. "Nano-sized transition-metal oxides as negative-electrode materials for lithium-ion batteries," Nature, Nature, vol. 407(6803), pages 496-499, September.
- M. Armand & J.-M. Tarascon, 2008. "Building better batteries," Nature, Nature, vol. 451(7179), pages 652-657, February.
- Guangli Che & Brinda B. Lakshmi & Ellen R. Fisher & Charles R. Martin, 1998. "Carbon nanotubule membranes for electrochemical energy storage and production," Nature, Nature, vol. 393(6683), pages 346-349, May.
- Hu, Xiaosong & Feng, Fei & Liu, Kailong & Zhang, Lei & Xie, Jiale & Liu, Bo, 2019. "State estimation for advanced battery management: Key challenges and future trends," Renewable and Sustainable Energy Reviews, Elsevier, vol. 114(C), pages 1-1.
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Keywords
Lithium-ion batteries; Anodes; FexOy-based materials; Transition metal oxides; Electrochemical effects;All these keywords.
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