锂在固态电池材料中的输运机制研究进展

IF 16.8 2区 化学 Q1 CHEMISTRY, MULTIDISCIPLINARY
Zhong-Heng Fu, Xiang Chen, Qiang Zhang
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引用次数: 9

摘要

缓解气候变化和环境恶化的需求日益增长,刺激了可充电锂电池技术的快速发展。电池材料中的快速锂输运对于保证电池优异的锂动力稳定性和倍率性能具有重要意义。本文综述了锂离子在固态电池材料中的输运机制。阐述了固体电解质中的集体扩散机制,从晶格动力学、晶体结构和电子结构等多个角度进一步理解了集体扩散机制。随着计算机性能的指数级提高,原子模拟在揭示和理解ssbm中的Li输运方面发挥着越来越重要的作用,弥合了实验现象和理论模型之间的差距。讨论了Li输运的理论和实验表征方法。对快速锂离子运输的设计策略进行了分类。最后,对探测Li输运的成就和挑战进行了展望。本文分类如下:
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Review on the lithium transport mechanism in solid-state battery materials

Review on the lithium transport mechanism in solid-state battery materials

The growing demands to mitigate climate change and environmental degradation stimulate the rapid developments of rechargeable lithium (Li) battery technologies. Fast Li transports in battery materials are of essential significance to ensure superior Li dynamical stability and rate performance of batteries. Herein, the Li transport mechanisms in solid-state battery materials (SSBMs) are comprehensively summarized. The collective diffusion mechanisms in solid electrolytes are elaborated, which are further understood from multiple perspectives including lattice dynamics, crystalline structure, and electronic structure. With the exponentially improving performance of computers, atomistic simulations have been playing an increasingly important role in revealing and understanding the Li transport in SSBMs, bridging the gap between experimental phenomena and theoretical models. Theoretical and experimental characterization methods for Li transports are discussed. The design strategies toward fast Li transports are classified. Finally, a perspective on the achievements and challenges of probing Li transports is provided.

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来源期刊
Wiley Interdisciplinary Reviews: Computational Molecular Science
Wiley Interdisciplinary Reviews: Computational Molecular Science CHEMISTRY, MULTIDISCIPLINARY-MATHEMATICAL & COMPUTATIONAL BIOLOGY
CiteScore
28.90
自引率
1.80%
发文量
52
审稿时长
6-12 weeks
期刊介绍: Computational molecular sciences harness the power of rigorous chemical and physical theories, employing computer-based modeling, specialized hardware, software development, algorithm design, and database management to explore and illuminate every facet of molecular sciences. These interdisciplinary approaches form a bridge between chemistry, biology, and materials sciences, establishing connections with adjacent application-driven fields in both chemistry and biology. WIREs Computational Molecular Science stands as a platform to comprehensively review and spotlight research from these dynamic and interconnected fields.
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