ID | 61016 |
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Author |
Campéon, Benoît Denis Louis
Graduate School of Natural Science and Technology, Okayama University
Yoshikawa, Yumi
Graduate School of Natural Science and Technology, Okayama University
Teranishi, Takashi
Graduate School of Natural Science and Technology, Okayama University
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Nishina, Yuta
Graduate School of Natural Science and Technology, Okayama University
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Abstract | For the application to portable devices and storage of renewable energies, high-performance lithium-ion batteries are in great demand. To this end, the development of high-performance electrode materials has been actively investigated. However, even if new materials exhibit high performance in a simple evaluation, namely half-cell tests, it is often impossible to obtain satisfactory performance with an actual battery (full cell). In this study, the structure of graphene analogs is modified in various ways to change crystallinity, disorder, oxygen content, electrical conductivity, and specific surface area. These graphene analogs are evaluated as negative electrodes for lithium-ion batteries, and we found reduced graphene oxide prepared by combination of chemical reduction and thermal treatment was the optimum. In addition, a full cell is fabricated by combining it with LiCoO2 modified with BaTiO3, which is applicable to high-speed charge–discharge cathode material developed in our previous research. In general, pre-lithiation is performed for the anode when assembling full cells. In this study, we optimized a "direct pre-lithiation" method in which the electrode and lithium foil were in direct contact before assembling a full cell, and created a lithium-ion battery with an output of 293 Wh kg−1 at 8,658 W kg−1.
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Keywords | Graphene
Lithium-ion battery
Full-cell
LiCoO2
High-rate
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Note | This fulltext is available in Oct. 2022.
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Published Date | 2020-12-10
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Publication Title |
Electrochimica Acta
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Volume | volume363
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Publisher | Elsevier
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Start Page | 137257
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ISSN | 0013-4686
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NCID | AA00633261
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Content Type |
Journal Article
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language |
English
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OAI-PMH Set |
岡山大学
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File Version | author
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DOI | |
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Related Url | isVersionOf https://doi.org/10.1016/j.electacta.2020.137257
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License | https://creativecommons.org/licenses/by-nc-nd/4.0/
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