The Optimization Research Of The Reation Rates Of Multi-layer Catalyst Of PEM Fuel Cell

As the shortage of the Coal, oil, natural gas, the development of sustainable and renewable energy is more and more pressing. As a kind of high efficiency, non-pollution renewable energy and it can meet the demand for energy in the future, fuel cells have become increasingly popular, particularly the polymer electrolyte membrane fuel cell(PEMFC). However, the high cost of PEMFC Restricts its development. To reduce the cost of the PEMFC has become the focus of social attention. The cost of catalyst layer accounts for most of the total cost of PEM fuel cell. Aiming at catalyst layers of PEM fuel cell, a program was proposed in the paper to optimize the PEM fuel cell and to improve the reaction rate of PEM fuel cell. In this way, the cost of PEM fuel cell will reduce.PEM fuel cell is a device that converting chemical energy directly to electrical energy. Catalyst layer is an important component of PEM fuel cell and it is the important place to the electrochemical reaction. For PEM fuel cell catalyst layer, choosing the two catalyst layer structures as the research target: double catalyst layer and three catalyst layer. Double catalyst layer: the potential difference is the objective function and the ratio of the ionic conductivity, the ratio of specific active area and the exchange current density, the ratio of the thickness in the two layers. Otherwise, the lumped variable ?U and the location variable l are the parameters to optimize. Using the specially designed toolbox bat algorithm to minimize the potential difference. Then, getting the best values of parameters to optimize. And discussing the influence of the overpotential difference across the optimal parameters. Three catalyst layer: the same as the double catalyst layer, the potential difference is the objective function. And the parameters to optimize include the ratio of the two of the ionic conductivity, the ratio of the two of specific active area and the exchange current density, the ratio of the two of the thickness in the three layers, the lumped variable ?U and the location variable l. Using the designed toolbox dolphin algorithm to minimize the potential difference. Then, getting the best values of parameters to optimize. And discussing the influence of the overpotential difference across the optimal parameters. Moreover, the ionic conductivity, specific active area and the exchange current density are the objective function and finding the relative parameters to optimize using the designed toolbox dolphin algorithm. The relative parameters are volume fraction of Nafionm?, tortuosity of the ionomer m?, relative humidity RH, temperature T, mass loading of platinum per unit area pm, mass loading of carbon per unit area cm, the thickness of catalyst ? and oxygen partial pressure 2OP. In this way, the best variables of the relative parameters can obtained.In order to describe the accuracy and efficiency of the bat algorithm and dolphin algorithm, the paper introduces two trend indices mm AP and mmSTD. The optimization results show that both algorithms are accuracy and efficiency. Therefor, intelligent optimization algorithms like them can be used for the optimal design of the PEM fuel cell.