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Parameters determination of proton exchange membrane fuel cell stack electrical model by employing the hybrid water cycle moth‐flame optimization algorithm
International Journal of Energy Research ( IF 4.3 ) Pub Date : 2020-12-03 , DOI: 10.1002/er.6065 Ramzi Ben Messaoud 1
International Journal of Energy Research ( IF 4.3 ) Pub Date : 2020-12-03 , DOI: 10.1002/er.6065 Ramzi Ben Messaoud 1
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In order to properly control the operation of a fuel cell (FC), it is essential to have a precise model of the FC. In this paper, we merged the hybrid water cycle moth‐flame optimization (WCMFO) algorithm and the notion of measurement uncertainty to extract the parameters of the proton exchange membrane fuel cell (PEMFC) by using current‐voltage characteristics (I‐V). The integration of the notion of uncertainty made the proposed approach more robust to disturbance. Consequently, a curve (I‐V) of the model estimated more precise and very similar to the real curve. To validate the performance of our approach, three commercial PEMFCs with their empirical data (I‐V) are examined as Ballard, NedSstack PS6, and BCS 500‐W. The problem of PEMFC models with seven parameters was investigated. The performance analysis is carried out by applying the sum of the squared error (SSE) and the root mean squared error (RMSE) to compare the calculated and empirical data, our approach is affirmed by its large superiority (SSE and RMSE are in the order of 10−29 and 10−15, respectively) compared to other methods recently published in Literature (SSE and RMSE are in the order of 10−2 and 10−2, respectively).
中文翻译：
混合水循环飞蛾-火焰优化算法确定质子交换膜燃料电池堆电模型参数
为了适当地控制燃料电池（FC）的运行，必须具有精确的FC模型。在本文中，我们将混合水循环蛾-火焰优化（WCMFO）算法和测量不确定度的概念进行了合并，以利用电流-电压特性（IV）提取质子交换膜燃料电池（PEMFC）的参数。不确定性概念的整合使所提出的方法对干扰更加鲁棒。因此，模型的曲线（IV）估计更精确，与真实曲线非常相似。为了验证我们的方法的性能，我们对三种具有经验数据（IV）的商用PEMFC进行了检查，分别是Ballard，NedSstack PS6和BCS 500-W。研究了具有七个参数的PEMFC模型的问题。-29和10 -15，分别地）相比，最近发表在文献（SSE和RMSE的其他方法是在10顺序-2和10 -2分别）。
更新日期：2021-02-01
中文翻译：
混合水循环飞蛾-火焰优化算法确定质子交换膜燃料电池堆电模型参数
为了适当地控制燃料电池（FC）的运行，必须具有精确的FC模型。在本文中，我们将混合水循环蛾-火焰优化（WCMFO）算法和测量不确定度的概念进行了合并，以利用电流-电压特性（IV）提取质子交换膜燃料电池（PEMFC）的参数。不确定性概念的整合使所提出的方法对干扰更加鲁棒。因此，模型的曲线（IV）估计更精确，与真实曲线非常相似。为了验证我们的方法的性能，我们对三种具有经验数据（IV）的商用PEMFC进行了检查，分别是Ballard，NedSstack PS6和BCS 500-W。研究了具有七个参数的PEMFC模型的问题。-29和10 -15，分别地）相比，最近发表在文献（SSE和RMSE的其他方法是在10顺序-2和10 -2分别）。
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