Krachkovskiy Sergey, Trudeau Michel L, Zaghib Karim
Center of Excellence in Transportation, Electrification and Energy Storage, Hydo-Québec, 1806 Bd. Lionel-Boulet, Varennes, QC J3X 1S1, Canada.
Materials (Basel). 2020 Apr 4;13(7):1694. doi: 10.3390/ma13071694.
In situ magnetic resonance (MR) techniques, such as nuclear MR and MR imaging, have recently gained significant attention in the battery community because of their ability to provide real-time quantitative information regarding material chemistry, ion distribution, mass transport, and microstructure formation inside an operating electrochemical cell. MR techniques are non-invasive and non-destructive, and they can be applied to both liquid and solid (crystalline, disordered, or amorphous) samples. Additionally, MR equipment is available at most universities and research and development centers, making MR techniques easily accessible for scientists worldwide. In this review, we will discuss recent research results in the field of in situ MR for the characterization of Li-ion batteries with a particular focus on experimental setups, such as pulse sequence programming and cell design, for overcoming the complications associated with the heterogeneous nature of energy storage devices. A comprehensive approach combining proper hardware and software will allow researchers to collect reliable high-quality data meeting industrial standards.
原位磁共振(MR)技术,如核磁共振和磁共振成像,由于能够提供有关运行中的电化学电池内部材料化学、离子分布、质量传输和微观结构形成的实时定量信息,最近在电池领域受到了广泛关注。MR技术是非侵入性和非破坏性的,并且可以应用于液体和固体(晶体、无序或非晶)样品。此外,大多数大学和研发中心都配备了MR设备,这使得全球科学家都能够轻松使用MR技术。在这篇综述中,我们将讨论原位MR在锂离子电池表征领域的最新研究成果,特别关注用于克服与储能设备异质性相关的复杂性的实验装置,如脉冲序列编程和电池设计。结合适当硬件和软件的综合方法将使研究人员能够收集符合工业标准的可靠高质量数据。