| Summary: | 碩士 === 國立中正大學 === 機械工程系研究所 === 106 === The main contribution of this paper is to apply system identification to the field of electrochemistry, Especially the parameter identification of chronoamperometry. Since most of the physical & chemical reactions in the field of electrochemistry are distributed parameter systems, in this paper, we used the orthogonal collocation method to reduce the order and obtain the approximate ODEs, then used the system identified by this reduced-order approximation model to determine the parameters required in the electrochemical reaction, including the reaction dynamic constant and the diffusion coefficient.
In the paper, the simulation results of the COMSOL are taken as the output, the identification results show that the proposed orthogonal reduced-order model can achieve an error of less than 10% in the parameter identification of the chronoamperometry method, and confirms the feasibility of using the orthogonal reduced-order model to identify the parameters of the chronoamperometry.
After the correction of the appropriate PDE model, the scope of application of this study should include the application of most chronoamperometry methods, including the detection of oxygen in simple biological solutions, biochemical sensing by complex application of enzymes, such as Blood glucose sensing, etc.
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