Quantifying the Resistive Losses of the Catalytic Layers in Anion-Exchange Membrane Fuel Cells

The existing gap in the ability to quantify the impacts of resistive losses on the performance of anion-exchange membrane fuel cells (AEMFCs) during the lifetime of their operation is a serious concern for the technology. In this paper, we analyzed the ohmic region of an operating AEMFC fed with pure oxygen followed by CO2-free air at various operating currents, using a combination of electrochemical impedance spectroscopy (EIS) and a novel technique called impedance spectroscopy genetic programming (ISGP). Presented here for the first time in this work, we isolated and quantified the individual effective resistance (Reff) values occurring in the AEMFC and their influence on performance as operating conditions change. We believe that this first work is vital to help distinguish the influence of the individual catalytic and mass-transfer processes in this technology thereby providing valuable data to the AEMFC community, with potentially wider applicability to other electrochemical devices where individual physical processes occur simultaneously and need to be sequestered for deeper understanding. An operando anion-exchange membrane fuel cell (AEMFC) was analyzed via artificial intelligence. Using impedance spectroscopy genetic programming (ISGP), we quantified the resistances of the various physical processes occurring in the system for the first time providing valuable information to the AEMFC community with wider applicability to other electrochemical process.+image

Automated summary

The paper analyzes an operando anion-exchange membrane fuel cell (AEMFC) using artificial intelligence. It quantifies the resistances of the various physical processes occurring in the system for the first time, providing valuable information to the AEMFC community and potentially other electrochemical processes.