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Porous cathode optimization for lithium cells: Ionic and electronic conductivity, capacity, and selection of materials

机译:锂电池的多孔阴极优化:离子和电子导电性,容量和材料选择

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摘要

Narrowing the gap between theoretical and actual capacity in key Li-based battery systems can be achieved through improvements in both electronic and ionic conductivities of materials, via addition of conductive species. Additives do, however, penalize both volumetric and gravimetric properties, and also limit liquid transport and high rate performance. In this work, we developed a technique to design and optimize cathode system based directly on the relationships among ionic and electronic conductivities and specific energy, for a range of commercially viable cathode electrochemistries and additives. Our results quantify trade-offs among ionic and electronic conductivity, and conductivity and specific energy. We also provide quantitative relationships for improved utilization and specific power, with higher specific energy. Finally, we provide quantitative guidance for the design of high energy density Li(Ni_(1/3)Co_(1/3)Mn_(1/3))O_2 cells using conductive additives, and also provide guidelines for the design of cathode systems, based directly on solid and liquid phase transport limitations. Future work will focus on higher rates of performance, and will be based on analyses here.
机译:可以通过添加导电物质来改善材料的电子和离子电导率,从而缩小主要的锂基电池系统的理论容量与实际容量之间的差距。但是,添加剂的确会对体积和重量特性造成不利影响,并且还会限制液体传输和高速率性能。在这项工作中,我们开发了一种技术,可直接根据离子和电子电导率与比能之间的关系设计和优化阴极系统,用于一系列商业上可行的阴极电化学和添加剂。我们的结果量化了离子和电子电导率,电导率和比能之间的权衡。我们还提供定量关系,以提高利用率和比功率,并提高比能量。最后,我们为使用导电添加剂的高能量密度Li(Ni_(1 / 3_Co_(1/3)Mn_(1/3))O_2电池的设计提供了定量指导,并为阴极系统的设计提供了指导,直接基于固相和液相传输限制。未来的工作将重点放在更高的性能上,并将基于此处的分析。

著录项

  • 来源
    《Journal of power sources》 |2010年第9期|2851-2862|共12页
  • 作者单位

    Department of Mechanical Engineering, University of Michigan, Ann Arbor, MI 48109-2125, USA;

    rnDepartment of Mechanical Engineering, University of Michigan, Ann Arbor, MI 48109-2125, USA;

    rnDepartment of Mechanical Engineering, University of Michigan, Ann Arbor, MI 48109-2125, USA;

    rnDepartment of Mechanical Engineering, University of Michigan, Ann Arbor, MI 48109-2125, USA Department of Biomedical Engineering, University of Michigan, Ann Arbor, MI 48109-2125, USA Department of Material Science and Engineering, University of Michigan, Ann Arbor, MI 48109-2125, USA;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);美国《生物学医学文摘》(MEDLINE);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Li-ion battery; battery design and optimization; battery modeling; electronic and ionic conductivity;

    机译:锂离子电池;电池设计与优化;电池建模;电子和离子电导率;

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