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An Online Self Cold Startup Methodology for PEM Fuel Cells in Vehicular Applications

机译:车辆应用中PEM燃料电池的在线自冷启动方法

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摘要

This paper puts forward an adaptive cold start strategy for a proton exchange membrane fuel cell (PEMFC) based on maximum power mode. The proposed strategy consists of a water evacuation process after PEMFC shutdown and a self-heating process at PEMFC cold startup. To maximize the performance of the suggested strategy, an optimal operating condition for the cold start procedure is sought first. In this respect, an experimental parametric study is performed to explore the impact of fan velocity, micro-short circuit, anode pressure, and purge procedure on the PEMFC cold start performance. After laying down the proper conditions, the proposed cold start procedure is implemented on a test bench for experimental validations. The self-heating process is based on an online adaptive algorithm that maximizes the PEMFC's internal heat depending on its operating parameters’ variation. In fact, this algorithm attempts to keep the current density at high levels, leading to PEMFC's performance improvement achieved by membrane hydration and temperature increase. The experimental results confirm the effectiveness of the proposed strategy, which presents a fast and cost-effective PEMFC's cold start.
机译:本文基于最大功率模式提出了对质子交换膜燃料电池(PEMFC)的自适应冷启动策略。拟议的策略包括在PEMFC关闭和PEMFC冷启动下的自我加热过程之后的水疏散过程。为了最大限度地提高建议的策略的性能,首先寻求最佳的冷启动程序的最佳操作条件。在这方面,进行实验参数研究以探讨风扇速度,微短路,阳极压力和吹扫过程对PEMFC冷启动性能的影响。放下适当的条件后,所提出的冷启动程序是在测试台上实现实验验证的。自加热过程基于在线自适应算法,根据其操作参数的变化,最大化PEMFC的内部热量。实际上,该算法试图将电流密度保持高水平,导致PEMFC通过膜水合和温度升高实现的性能改善。实验结果证实了拟议策略的有效性,这提出了一种快速且具有成本效益的PEMFC的冷启动。

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