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首页> 外文会议>International Youth Conference on Radio Electronics, Electrical and Power Engineering >Extracting Model Parameters of Proton Exchange Membrane Fuel Cell Using Equilibrium Optimizer Algorithm
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Extracting Model Parameters of Proton Exchange Membrane Fuel Cell Using Equilibrium Optimizer Algorithm

机译：平衡优化算法提取质子交换膜燃料电池模型参数

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摘要

The accurate modelling of fuel cell (FC) plays an effective role in simulating its electrochemical performance. In this work, Proton Exchange Membrane Fuel Cell (PEMFC) mathematical model is presented. The optimization problem of extraction the best values of unknown parameters of PEMFC stacks has been solved based on a metaheuristic optimization technique, namely, Equilibrium Optimizer (EO). The developed EO is tested on different commercial PEMFCs stacks to appreciate its reliability compared with other well-known optimization techniques. Furthermore, statistical assessment has been performed to validate the reliability of developed technique in solving the studied optimization problem. Additionally, the superiority of optimized parameters is verified by studying the dynamic characteristics of PEMFCs under changing the cell temperature and reactants' pressures. Furthermore, the calculated results have been compared with those obtained by other recent optimization techniques and shown the superiority of developed EO in optimal PEMFC stack models parameters' extraction.
机译：燃料电池（FC）的精确建模在模拟其电化学性能方面起着有效的作用。在这项工作中，提出了质子交换膜燃料电池（PEMFC）的数学模型。基于元启发式优化技术，即均衡优化器（EO），解决了提取PEMFC堆栈未知参数的最佳值的优化问题。与其他知名的优化技术相比，已开发的EO在不同的商用PEMFC堆栈上进行了测试，以了解其可靠性。此外，已经进行了统计评估以验证所开发技术在解决所研究的优化问题中的可靠性。此外，通过研究在变化的电池温度和反应物压力下的PEMFC的动态特性，可以验证优化参数的优越性。此外，将计算结果与通过其他最新优化技术获得的结果进行了比较，并显示了开发的EO在最佳PEMFC堆栈模型参数提取中的优越性。

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