与多物理场耦合的单流锌镍氧化还原电池建模与仿真

IF 4.6 4区 化学 Q2 ELECTROCHEMISTRY
Chunning Song, Kaixuan Zhang, Nanjun Li
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引用次数: 0

摘要

金属锌(Zn)具有环境友好、资源丰富、与水相容性高、毒性低、电化学电位低(-0.762 V 对 SHE)和成本效益高等特点,是传统电化学储能系统的理想替代品。虽然人们一直致力于增强锌离子电池材料的物理和化学性质,以提高电池效率和寿命,但为深入了解电池性能而进行的多物理场耦合建模研究仍然相对匮乏。在本研究中,我们利用 Nernst-Planck 和 Butler-Volmer 等理论,为单流锌镍氧化还原电池建立了一个全面的二维模型,以研究电极反应、电流电位行为和浓度分布。此外,我们还利用多孔介质中的布林克曼理论和自由流动通道中的纳维-斯托克斯方程探索了速度场的分布。实验数据为验证模型提供了依据,不仅让我们深入了解了电池的性能,还为推动单流锌镍电池技术的发展提供了宝贵的建议。我们的研究结果不仅为提高锌镍液流电池的设计和性能提供了前景广阔的途径,也适用于其他液流电池的设计。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Modeling and Simulation of Single Flow Zinc–Nickel Redox Battery Coupled with Multi-Physics Fields
Metallic zinc (Zn) presents a compelling alternative to conventional electrochemical energy storage systems due to its environmentally friendly nature, abundant availability, high water compatibility, low toxicity, low electrochemical potential (−0.762 V vs. SHE), and cost-effectiveness. While considerable efforts have been devoted to enhancing the physical and chemical properties of zinc-ion battery materials to improve battery efficiency and longevity, research on multi-physics coupled modeling for a deeper understanding of battery performance remains relatively scarce. In this study, we established a comprehensive two-dimensional model for single-flow zinc–nickel redox batteries to investigate electrode reactions, current-potential behaviors, and concentration distributions, leveraging theories such as Nernst–Planck and Butler–Volmer. Additionally, we explored the distribution of the velocity field using the Brinkman theory in porous media and the Navier–Stokes equations in free-flow channels. The validated model, informed by experimental data, not only provides insights into the performance of the battery, but also offers valuable recommendations for advancing single-flow zinc–nickel battery technology. Our findings offer promising avenues for enhancing the design and performance of not only zinc–nickel flow batteries, but also applicable for other flow battery designs.
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来源期刊
Batteries
Batteries Energy-Energy Engineering and Power Technology
CiteScore
4.00
自引率
15.00%
发文量
217
审稿时长
7 weeks
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