Despite advancements, dendrite growth at the anode continues to be a persistent roadblock in accelerating the widespread deployment of hybrid flow batteries as the next-generation energy storage solution, due to the significant impact of dendrites on cycling performance and the potential for battery failure. The ability to analyze energy storage systems at micro-to-macro levels offers unprecedented insights into their behavior and performance. Herein, we develop a multiscale model utilizing phase-field method to investigate dendrite formation, growth, and stripping under operational conditions. The Zn-I system is employed to unravel the intricacies of dendrite evolution and its mitigation through strategic utilization of critical battery parameters. Our findings not only uncover precise zinc morphologies but also provide valuable insights into battery performance toward developing a strategy for mitigating dendrite growth and enhancing battery efficiency at high current density. To our knowledge, this is the first work to comprehensively untangle electrodeposition dynamics at multiscale in the field of flow battery and related research. The findings revolutionize our understanding of deposition behavior, driving transformative advancements in hybrid flow battery design and development, with potential applicability to other battery systems.

中文翻译：

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解开混合动力液流电池中的枝晶生长动力学


尽管取得了进步，但由于枝晶对骑行性能的重大影响和电池故障的可能性，阳极的枝晶生长仍然是加速混合动力液流电池作为下一代储能解决方案广泛部署的持续障碍。在微观到宏层面分析储能系统的能力为了解其行为和性能提供了前所未有的洞察力。在此，我们开发了一个利用相场法的多尺度模型来研究操作条件下枝晶的形成、生长和剥离。Zn-I 系统用于揭示枝晶演变的复杂性，并通过战略性地利用关键电池参数来缓解枝晶演变。我们的研究结果不仅揭示了精确的锌形态，还为电池性能提供了有价值的见解，以制定一种减轻枝晶生长和提高高电流密度下电池效率的策略。据我们所知，这是液流电池和相关研究领域中首次全面解开多尺度电沉积动力学的工作。这些发现彻底改变了我们对沉积行为的理解，推动了混合动力液流电池设计和开发的变革性进步，并可能适用于其他电池系统。