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硫基电池的机理洞察与技术挑战:一个综合监测工具箱

Mechanistic Insights and Technical Challenges in Sulfur-Based Batteries: A Comprehensive / Monitoring Toolbox.

作者信息

Yu Jing, Pinto-Huguet Ivan, Zhang Chao Yue, Zhou Yingtang, Xu Yaolin, Vizintin Alen, Velasco-Vélez Juan-Jesús, Qi Xueqiang, Pan Xiaobo, Oney Gozde, Olgo Annabel, Märker Katharina, M Da Silva Leonardo, Luo Yufeng, Lu Yan, Huang Chen, Härk Eneli, Fleming Joe, Chenevier Pascale, Cabot Andreu, Bai Yunfei, Botifoll Marc, Black Ashley P, An Qi, Amietszajew Tazdin, Arbiol Jordi

机构信息

Catalan Institute of Nanoscience and Nanotechnology (ICN2), CSIC and BIST, Barcelona 08193, Spain.

Catalonia Institute for Energy Research (IREC), Barcelona 08930, Spain.

出版信息

ACS Energy Lett. 2024 Dec 4;9(12):6178-6214. doi: 10.1021/acsenergylett.4c02703. eCollection 2024 Dec 13.

Abstract

Batteries based on sulfur cathodes offer a promising energy storage solution due to their potential for high performance, cost-effectiveness, and sustainability. However, commercial viability is challenged by issues such as polysulfide migration, volume changes, uneven phase nucleation, limited ion transport, and sluggish sulfur redox kinetics. Addressing these challenges requires insights into the structural, morphological, and chemical evolution of phases, the associated volume changes and internal stresses, and ion and polysulfide diffusion within the battery. Such insights can only be obtained through real-time reaction monitoring within the battery's operational environment, supported by molecular dynamics simulations and advanced artificial intelligence-driven data analysis. This review provides an overview of techniques for real-time tracking of these processes in sulfur-based batteries and explores the integration of simulations with experimental data to provide a holistic understanding of the critical challenges, enabling advancements in their development and commercial adoption.

摘要

基于硫阴极的电池因其具有高性能、成本效益和可持续性的潜力,提供了一种很有前景的储能解决方案。然而,多硫化物迁移、体积变化、不均匀相形核、有限的离子传输以及缓慢的硫氧化还原动力学等问题对其商业可行性构成了挑战。应对这些挑战需要深入了解相的结构、形态和化学演变、相关的体积变化和内部应力,以及电池内离子和多硫化物的扩散。只有通过在电池运行环境中进行实时反应监测,并辅以分子动力学模拟和先进的人工智能驱动数据分析,才能获得这些见解。本文综述了硫基电池中实时跟踪这些过程的技术,并探讨了模拟与实验数据的整合,以全面理解关键挑战,推动其发展和商业应用。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c6d2/11650778/b5511e5d766b/nz4c02703_0001.jpg

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