Estimation of power generation current distribution in Polymer electrolyte fuel cell using multiple magnetic field sensors

The nondestructive inspection of power generation current distribution in polymer electrolyte fuel cells (PEFCs) is a crucial task in order to increase the power generation efficiency of PEFCs. In this research, the estimation of power generation current distribution in a membrane electrode assembly (MEA) in PEFCs using multiple magnetic field sensors by inverse problem analysis is proposed. In this inverse problem analysis method, CMA-ES (Covariance Matrix Adaptation Evolution Strategy) is applied. This method enables the estimation of the power generation current distribution near the center of the MEA in the fuel cell, which is said to be difficult to estimate.