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Dynamic Modeling and Validation of PEM Fuel Cell via System Identification Approach
Journal of Electrical Engineering & Technology ( IF 1.9 ) Pub Date : 2021-04-12 , DOI: 10.1007/s42835-021-00736-2
Arun Kumar Pinagapani , Geetha Mani , K. R. Chandran , Karthik Pandian , Eshwar Sawantmorye , Purvil Vaghela

The key issues with non-renewable energy resources are the harmful pollutants they produce. They also pose serious threat to human life and lead to severe atmospheric devastation. Hence, they become non-viable for future generations. With the innovation of fuel cell technology, these difficulties are wiped out. Fuel Cell technology is considered as the most efficient and environmental friendly type of energy production. Among the different types of fuel cells, Proton-Exchange Membrane Fuel Cell (PEMFC) is the most distributed type and are widespread in the market, because of its lower operating temperature, reliable performance to frequent load changes, higher efficiency and good power density. This work primarily focuses on the dynamic modeling and simulation of PEMFC. A voltage model for PEMFC is developed based on experimental data. Estimation of the system model is done by using system identification toolbox in MATLAB. Validation of the estimated model is performed by comparing the estimated model response with first principle nonlinear PEMFC model and with a different real time data.



中文翻译:

通过系统识别方法对PEM燃料电池进行动态建模和验证

不可再生能源的关键问题是它们产生的有害污染物。它们还对人类生命构成严重威胁,并导致严重的大气破坏。因此,它们对于子孙后代变得不可行。随着燃料电池技术的创新,这些困难被消除了。燃料电池技术被认为是最高效,最环保的能源生产方式。在不同类型的燃料电池中,质子交换膜燃料电池(PEMFC)是分布最广泛的类型,并且由于其较低的工作温度,对频繁的负载变化具有可靠的性能,较高的效率和良好的功率密度而在市场上得到了广泛应用。这项工作主要集中在PEMFC的动态建模和仿真上。根据实验数据建立了PEMFC的电压模型。系统模型的估计是通过使用MATLAB中的系统识别工具箱来完成的。通过将估计的模型响应与第一原理非线性PEMFC模型以及不同的实时数据进行比较,可以对估计的模型进行验证。

更新日期:2021-04-12
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