循环伏安法
无量纲量
超级电容器
电容
水平扫描速率
材料科学
堆栈(抽象数据类型)
电极
等效电路
放松(心理学)
多孔性
物理
分析化学(期刊)
电化学
热力学
复合材料
化学
色谱法
物理化学
电压
社会心理学
心理学
量子力学
计算机科学
程序设计语言
作者
Yiting Lin,Cheng Lian,Mikel Unibaso Berrueta,Honglai Liu,René van Roij
标识
DOI:10.1103/physrevlett.128.206001
摘要
Cyclic voltammetry (CV) is a widespread experimental technique for characterizing electrochemical devices such as supercapacitors. Despite its wide use, a quantitative relation between CV and microscopic properties of supercapacitors is still lacking. In this Letter, we use both the microscopic "stack-electrode" model and its equivalent circuit for predicting the cyclic voltammetry of electric double-layer formation in porous electrodes. We find that the dimensionless combination ωτ_{n}, with ω the scan frequency of the time-dependent potential and τ_{n} the relaxation timescale of the stack-electrode model, governs the CV curves and capacitance: the capacitance is scan-rate independent for ωτ_{n}≪1 and scan-rate dependent for ωτ_{n}≫1. With a single fit parameter and all other model parameters dictated by experiments, our model reproduces experimental CV curves over a wide range of ω. Meanwhile, the influence of the pore size distribution on the charging dynamics is investigated to explain the experimental data.
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