Ziesche Ralf F, Hack Jennifer, Rasha Lara, Maier Maximilian, Tan Chun, Heenan Thomas M M, Markötter Henning, Kardjilov Nikolay, Manke Ingo, Kockelmann Winfried, Brett Dan J L, Shearing Paul R
Electrochemical Innovation Lab, Department of Chemical Engineering, UCL, London, WC1E 7JE, UK.
The Faraday Institution, Quad One, Harwell Science and Innovation Campus, Didcot, OX11 0RA, UK.
Nat Commun. 2022 Mar 25;13(1):1616. doi: 10.1038/s41467-022-29313-5.
In recent years, low-temperature polymer electrolyte fuel cells have become an increasingly important pillar in a zero-carbon strategy for curbing climate change, with their potential to power multiscale stationary and mobile applications. The performance improvement is a particular focus of research and engineering roadmaps, with water management being one of the major areas of interest for development. Appropriate characterisation tools for mapping the evolution, motion and removal of water are of high importance to tackle shortcomings. This article demonstrates the development of a 4D high-speed neutron imaging technique, which enables a quantitative analysis of the local water evolution. 4D visualisation allows the time-resolved studies of droplet formation in the flow fields and water quantification in various cell parts. Performance parameters for water management are identified that offer a method of cell classification, which will, in turn, support computer modelling and the engineering of next-generation flow field designs.
近年来，低温聚合物电解质燃料电池已成为遏制气候变化的零碳战略中日益重要的支柱，具有为多尺度固定和移动应用供电的潜力。性能提升是研究和工程路线图的特别重点，水管理是主要的研发领域之一。用于描绘水的演变、运动和去除的合适表征工具对于克服缺点至关重要。本文展示了一种4D高速中子成像技术的发展，该技术能够对局部水的演变进行定量分析。4D可视化允许对流场中液滴形成进行时间分辨研究以及对各种电池部件中的水进行定量分析。确定了水管理的性能参数，这些参数提供了一种电池分类方法，这反过来将支持计算机建模和下一代流场设计的工程。
