Parameter Identification in Cyclic Voltammetry of Alkaline Methanol Oxidation
Parameter Identification in Cyclic Voltammetry of Alkaline Methanol Oxidation
复制标题
碱性甲醇氧化循环伏安法参数辨识
DOI：
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发表时间：
2018
期刊：
影响因子：
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通讯作者：
T. Haisch
中科院分区：
文献类型：
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作者：
T. Clees;I. Nikitin;L. Nikitina;S. Pott;U. Krewer;T. Haisch
碱性甲醇氧化是一个电化学过程，是设计高效高能量密度燃料电池的前景。该过程涉及大量的基元反应，形成复杂的反应图，并且由高阶非线性微分方程系统描述。参数识别的目的是在现有的实验数据的基础上重建该模型中的反应常数。循环伏安法是一种测量电池动态电流-电压特性的方法，特别适用于电化学动力学分析。本文介绍了甲醇碱性氧化循环伏安法参数辨识的几种方法。借助全局优化方法和交互参数研究，我们在参数空间中找到了四个岛的解决方案，对应于不同的化学机制的过程。讨论了溶液的主要特征，并给出了重构的反应常数。
Alkaline methanol oxidation is an electrochemical process, perspective for the design of efficient high energy density fuel cells. The process involves a large number of elementary reactions, forming a complex reaction graph, and it is described by a system of non-linear differential equations of high order. The purpose of parameter identification is a reconstruction of reaction constants in this model on the basis of available experimental data. Cyclic voltammetry, a measurement of dynamical current-voltage characteristic of the cell, is especially suitable for analysis of electrochemical kinetics. In this paper we present several approaches for parameter identification in cyclic voltammetry of alkaline methanol oxidation. With the aid of global optimization methods and interactive parameter study we find four islands of solutions in parameter space, corresponding to different chemical mechanisms of the process. The main features of solutions are discussed and the reconstructed reaction constants are presented.