Polarization analysis of a micro direct methanol fuel cell stack based on Debye-Huckel ionic atmosphere theory

In this paper, a micro direct methanol fuel cell (mu DMFC) stack model is developed in order to analyze the polarization characteristics. The model employed the Debye-Huckel ionic atmosphere theory to describe the charge conductions and electrochemical kinetics during the polarization coupling. The simulated current-power profiles of the model are verified experimentally. Compared with the mu DMFC stack model based on conventional polarization theory, the error of the proposed mu DMFC stack model reduces by about 8% at average. For every 10 mol . m(-3) increase in cathodic oxygen concentration, the increase in polarization coupling efficiency alone can improve the output power by about 2% on average. The increase of operating temperature from 293 K to 333 K weakens the coupling forces within the mu DMFC stack. The analyzing results of dynamic operation show that the polarization coupling causes a voltage peak during unloading. High loading current and unloading speed raise the voltage peak. The energy loss caused by methanol crossover decreases during dynamic operating process. The dynamic energy conversion efficiency of the mu DMFC stack is relatively high. The proposed mu DMFC stack model solves the polarization coupling problem and makes it possible to analyze the polarization coupling between mu DMFC stack and modern microelectronic portable systems. (C) 2021 Published by Elsevier Ltd.

Automated summary

A micro direct methanol fuel cell (mu DMFC) stack model was developed in this paper using the Debye-Huckel ionic atmosphere theory, with verified experimental results showing a lower error compared to traditional models. Increasing cathodic oxygen concentration and temperature can improve output power and reduce coupling forces, leading to a voltage peak during unloading. Energy loss caused by methanol crossover decreases during dynamic operating process, indicating a relatively high dynamic energy conversion efficiency.