动态松弛:一种新的PEM燃料电池分析优化方法

Shirin Espiari, M. Aleyaasin
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引用次数: 0

摘要

在PEM燃料电池中,膜电导的可持续性是一个重要的问题,它决定了电池的性能。在此,相关的数值分析被优化过程所取代。目标函数为能量平衡方程,等式约束为物理模型的控制方程。本文提出了一种动态松弛方法,该方法为燃料电池提供了一个虚拟的非线性动态系统模型。然后,假设适当的初始条件,就可以得到稳态解。对于任意电流密度,确定了相应的阴极和阳极温度、电池输出电压和堆温。结果表明,通过改变初始条件和积分方法,可以保证收敛到相同的稳态值。结果表明,动态松弛法是固体力学中著名的方法,也是研究燃料电池平衡的一种有效的优化方法。并对该方法与其他技术相比的优点进行了讨论和评价。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Dynamic relaxation: A new optimization method for PEM fuel cell analysis
Sustainability of the membrane conductance in PEM fuel cells is an important issue and determines the performance of the cell. Herein, the relevant numerical analysis is replaced with an optimization procedure. The objective function is energy balance equation and the equality constraints are governing equations of the physical model. In this paper a dynamic relaxation method is proposed which provides a fictitious nonlinear dynamic system model for the fuel cell. Thereafter, by assuming appropriate initial conditions, the steady state solution can be obtained. For any current density, the corresponding temperature in cathode and anode, output voltage of the cell and stack temperature are determined. It is shown that by changing the initial conditions and also the integration method, the convergence into the same steady state values can be guaranteed. It is concluded that dynamic relaxation method which is well known technique in solid mechanics can also be a powerful optimization method for studying the equilibrium in fuel cells. The advantages of this method compared with other techniques are discussed and commented upon.
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