一种预测Zn水系电池中的H离子负极覆盖度的方法

By constructing a multi-scale coupled model, combining density functional theory and micro-kinetic-electrochemical model, the problem of accurately predicting the coverage of H ions on the Zn anode surface was solved, improving the stability and energy conversion efficiency of zinc batteries and promoting their commercial application.

CN121096474BActive Publication Date: 2026-07-17HARBIN UNIV OF SCI & TECH

Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
HARBIN UNIV OF SCI & TECH
Filing Date
2025-08-27
Publication Date
2026-07-17

AI Technical Summary

Technical Problem

Existing technologies struggle to accurately predict the coverage of H ions on the Zn anode surface at multiple scales, and lack a holistic modeling method that can couple electronic structure, reaction kinetics, and macroscopic mass transfer processes. This results in severe instability issues in zinc anodes, affecting battery performance and safety.

Method used

A three-dimensional atomic structure model of H atoms and Zn electrode adsorption surface was constructed. Combining density functional theory and micro-kinetic-electrochemical model, a reaction potential energy surface was established. Multi-scale coupling was achieved through phase field rare matter transport model to realize micro-macro data interaction and quantitatively analyze H ion anode coverage behavior.

Benefits of technology

It significantly improves the theoretical analysis capability of the reaction process at active sites, enhances the dynamic response capability, accurately predicts the impact of electrolyte concentration changes on the reaction rate, improves the stability and energy conversion efficiency of the battery, and promotes the practical application of aqueous zinc batteries.

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Abstract

一种预测Zn水系电池中的H离子负极覆盖度的方法,涉及表面催化技术领域。为解决现有技术中存在难以在多尺度层面精确预测H离子在Zn负极表面的覆盖度的缺陷,本发明提供的技术方案包括:构建H原子与Zn电极吸附面的三维原子结构模型,计算H离子和水分子的形成能及吸附能,建立反应势能面;构建反应路径及电子转移行为,定义电势相关参数,输出反应速率、电流密度与覆盖度数据;建立包含温度、pH和压力参数的相场稀物质传递模型,完成物质迁移与电荷分布计算;将界面物理场参数反馈至微观动力学模型形成微观‑宏观双向数据交互并实现自洽收敛;输出耦合模型结果,得到多尺度预测数据。适用于电催化反应中活性位点识别与性能预测。
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