Parameter Identification for Area-Specific Resistance of Direct Methanol Fuel Cell Using Cuckoo Search Algorithm

In order to improve the accuracy of the area-specific resistance model for direct methanol fuel cell, a heuristic algorithm named cuckoo search is employed. In this work, the optimal modeling strategy is designed to identify the parameters of the area-specific resistance model and minimize the error between the simulation and real experimental data. In experimental evaluation, the proposed algorithm is compared with four heuristic algorithms. The experimental results show the model based on cuckoo search offering better approximation effect and stronger robustness comparing with four other heuristic algorithms.

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