Novel analytic method of membrane electrode assembly parameters for fuel cell consistency evaluation by micro-current excitation

Consistency evaluation and degradation diagnosis of membrane electrode assemblies (MEAs) in a large-scale fuel cell stack remain critical problems despite the accelerated commercialization. In this paper, a novel analytic method of MEA parameters is proposed with high accuracy and stability, which does not require high sampling frequency and data filtering of voltage signals anymore. By means of micro-current excitation, regardless of whether it is galvanostatic or not, four key parameters of each MEA can be calculated simultaneously based on complete excitation model, including hydrogen crossover current density, electrochemical surface area (ECSA), double-layer capacitance, and short-circuit resistance. The universality of the method is demonstrated by the high consistency between galvanostatic and non-constant current excitation results. Effects of condition parameters, including operating temperature, relative humidity, and back pressure, on MEA parameters are further investigated. Low temperature, high relative humidity, and high back pressure make high ECSA. Elevated temperature and back pressure increase hydrogen crossover. Relative humidity is proved to determine the hydrogen crossover by affecting both anodic hydrogen partial pressure and membrane water content. Finally, the method is applied to evaluate the MEA consistency of a long-time-stored seven-cell stack and recognizes part of the membranes ineffective. This method shows a promising prospect in consistency-based MEA screening, aging evaluation of MEAs in a stack, and recombination of old and broken stacks.