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Modelling and Parameter Observation for Proton Exchange Membrane Fuel Cell

机译:质子交换膜燃料电池的建模与参数观察

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Proton-Exchange Membrane (PEM) plays a potential role in offering effective and sophisticated solutions to a wide range of real-world applications. It is seen as a suitable choice to fit the emission reduction schedules and to challenge other technologies in terms of efficiency and greenhouse gases production. In automotive systems, this technology offers the advantage of being able to operate at low temperature, consuming the oxygen from the air and having short automotive startup time. This makes it a challenging alternative to the traditional technologies used in automotive systems. The fuel cell consists of a membrane that separates two electrodes (cathode and anode). This work considers only the cathode which is divided into two chambers: the channel and the Gas Diffusion Layer (GDL). The hydrogen generated from the fuel processing system, is fed into the anode of the cell stack, while air is pumped into the cathode through an air compressor. Fuel cells produce water and heat by converting the chemical energy to electrical energy. As all chemical reactions, the fuel cell's optimal efficiency depends on the operating conditions: air flow, humidity, pressure, and temperature. For a good transportation of the reactant gases (hydrogen and air), the hydration of the membrane needs to be regulated. For this reason, this paper deals with the internal parameter identification of a PEM fuel cell system, especially the flooding phenomenon. This is performed by proposing a model-based observer, which is the core of an on-line monitoring method. The proposed procedure is simple: it consists of rebuilding the chosen internal parameters, which are the vapor and the oxygen partial pressures at the GDL, aiming to monitor the hydration parameter. This strategy is cost-effective and its approach can be extended to cover the whole stack.
机译:质子交换膜(PEM)在为广泛的现实应用程序提供有效和复杂的解决方案方面发挥着潜在的作用。它被视为适合放弃减排时间表的合适选择,并在效率和温室气体生产方面挑战其他技术。在汽车系统中,该技术提供了能够在低温下运行的优点,从空中消耗氧气并具有短汽车启动时间。这使得汽车系统中使用的传统技术挑战替代。燃料电池由膜组成,膜分离两个电极(阴极和阳极)。该工作仅考虑了分为两个腔室的阴极:通道和气体扩散层(GDL)。从燃料加工系统产生的氢气进入电池堆的阳极,而空气通过空气压缩机泵入阴极。燃料电池通过将化学能转化为电能而产生水和热量。作为所有化学反应,燃料电池的最佳效率取决于操作条件:气流,湿度,压力和温度。为了良好地运输反应气体(氢气和空气),需要调节膜的水合。因此,本文涉及PEM燃料电池系统的内部参数识别,尤其是洪水现象。这是通过提出基于模型的观察者来执行的,这是在线监测方法的核心。所提出的程序很简单:它包括重建所选择的内部参数,这些内部参数是GDL处的蒸气和氧气部分压力,旨在监测水合参数。该策略具有成本效益,其方法可以扩展以覆盖整个堆栈。

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