Summary
It is of vital importance to utilize diagnostic tools that are capable of quickly identifying faulty conditions during cell operation. Electrochemical impedance spectroscopy (EIS) is a popular technique for monitoring proton‐exchange membrane fuel cell (PEMFC) performance and physics‐based models are a sophisticated tool for predicting cell behavior and interpreting the data achieved by EIS. In this study, a transient, one‐dimensional, two‐phase model for PEMFC membrane electrode assembly (MEA) was developed. By coding in MATLAB, the system of equations was solved and EIS spectra were obtained over the frequency range of 0.1 Hz to 100 kHz. The effects of Pt loss and ionomer distribution on EIS spectrum were investigated. The results indicate that the low‐frequency intercept of the impedance spectrum with the real axis, also known as the low‐frequency resistance (LFR), is an ideal indicator of Pt degradation and if not mitigated in the early stages, Pt degradation can significantly deteriorate cell electrochemical performance (up to 27% increase in LFR for the cases studied). The impact of heterogeneous ionomer distribution in cathode catalyst layer (CCL) on the high‐frequency portion of the impedance spectrum, also known as the “straight line” in the literature, is investigated. The results show that the length and the slope of the straight line are great indicators of ionomer degradation as the slope of the straight line deviated up to 16° from the ideal 45° (in case of a uniform distribution of ionomer in CCL) and the length of the straight line decreased about 44% for the cases studied.
Highlights
A transient, one‐dimensional, two‐phase model of proton‐exchange membrane fuel cell suitable for diagnostic applications is developed.
Effects of cathode catalyst layer microstructure degradation on cell electrochemical impedance spectrum are investigated.
The low‐frequency resistance is an ideal indicator of Pt degradation.
The shape of the high‐frequency portion of the impedance spectrum could be utilized for ionomer degradation monitoring.