The present application belongs to the field of fuel
cell catalyst layer design, and specifically discloses a fuel
cell gradient
cathode catalyst layer and a design and optimization method thereof. The method obtains local functional requirements of the
cathode catalyst layer through regional
sensitivity analysis, and guides targeted
platinum and
ionomer content gradient distribution strategies. Through parameter
sensitivity analysis and
platinum and
ionomer gradient interaction analysis, the key parameters of the distribution strategy, the influence mechanism and the refined value range are determined. Based on the key parameters and their ranges, a
data set is generated, a proxy model is constructed, a candidate solution set is obtained, an optimal solution is screened and verified. Based on the method, the gradient
cathode catalyst layer is designed, which can reduce the dependence on experience and
trial and error, convert the complex component distribution into a low-dimensional parameter
optimization problem with clear physical meaning, fully play the synergistic effect of
platinum and
ionomer distribution, take into account the requirements of
proton conduction,
oxygen transmission and catalytic reaction, improve the net output power of the fuel
cell and improve the reaction uniformity of the
cathode catalyst layer.