Multi Objective Optimization Method for Fuel Cell Resistance Under Different Cooling Water Inlet Temperatures
Proton exchange membrane fuel cells have unlimited potential in the field of energy and transportation due to their high efficiency and fast response.However,reliability and durability bottlenecks constrain its commercialization process.The internal resistance of fuel cells,as a key factor,profoundly affects the performance,reliability,and service life of fuel cells.This article uses AC impedance technology to establish internal resistance and equivalent circuit models of fuel cells,analyzes the dynamic characteristics of internal resistance of fuel cells under different cooling water temperatures,and uses multi-objective optimization methods to screen fuel cells with smaller current losses.The results indicate that using the impedance value multi-objective optimization method can screen for the optimal operating conditions that minimize the current loss of the fuel cell.When the power is 24 kW,40 kW,and 56 kW,multi-objective optimization analysis shows that the optimal cooling water inlet temperatures are 65℃,70℃,and 74.5℃,respectively.
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