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A thermal model to evaluate sub-freezing startup for a direct hydrogen hybrid fuel cell vehicle polymer electrolyte fuel cell stack and system.

机译:一个热模型,用于评估直接氢混合燃料电池车辆聚合物电解质燃料电池堆和系统的次冻结启动。

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For passenger fuel cell vehicles (FCVs), customers will expect to start the vehicle and drive almost immediately, implying a very short system warmup to full power. While hybridization strategies may fulfill this expectation, the extent of hybridization will be dictated by the time required for the fuel cell system to reach normal operating temperatures. Quick-starting fuel cell systems are impeded by two problems: (1) the freezing of residual water or water generated by starting the stack at below freezing temperatures and (2) temperature-dependent fuel cell performance, improving as the temperature reaches the normal range. Cold start models exist in the literature; however, there does not appear to be a model that fully captures the thermal characteristics of the stack during sub-freezing startup conditions. Existing models do not include stack internal heating methods or endplate thermal mass effect on end cells.; The focus of this research is the development and use of a sub-freezing thermal model for a polymer electrolyte fuel cell stack and system designed for integration within a direct hydrogen hybrid FCV. The stack is separated into individual cell layers to determine an accurate temperature distribution within the stack. Unlike a lumped model, which may use a single temperature as an indicator of the stack's thermal condition, a layered model can reveal the effect of the endplate thermal mass on the end cells, and accommodate the evaluation of internal heating methods that may mitigate this effect.; This research is designed to answer the following motivating questions: (1) What detailed thermal model design will accurately characterize the fuel cell stack and system during the sub-freezing startup operation? (2) What are the effects of different startup strategies on energy consumption and time to normal operation? These questions are addressed in this dissertation. Major research findings include the following recommendations for the best startup strategies based on model parameter values and assumptions: (1) use internal heating methods (other than stack reactions) below 0°C, (2) circulate coolant for uniform heat distribution, (3) minimize coolant loop thermal mass, (4) heat the endplates, and (5) use metal such as stainless steel for the bipolar plates.
机译:对于乘用燃料电池汽车(FCV),客户将期望能够立即启动车辆并立即驾驶,这意味着非常短的系统预热即可达到全功率。尽管杂交策略可以满足这一期望,但是杂交程度将由燃料电池系统达到正常工作温度所需的时间决定。快速启动燃料电池系统受到以下两个问题的阻碍:(1)在低于冰点温度的情况下冻结残留水或通过启动电池组而产生的水;(2)与温度相关的燃料电池性能,随着温度达到正常范围而提高。文献中存在冷启动模型。但是,似乎没有一个模型可以完全捕获次冷冻启动条件下电池组的热特性。现有模型不包括电池组内部加热方法或端板对端电池的热质量影响。这项研究的重点是开发和使用用于聚合物电解质燃料电池堆和系统的亚冻结热模型,该模型设计用于直接氢混合燃料电池汽车中的集成。将电池堆分成单独的电池层,以确定电池堆内的准确温度分布。与集总模型不同,集总模型可以使用单个温度作为电池组热状况的指标,分层模型可以揭示端板热质量对端电池的影响,并可以评估可减轻这种影响的内部加热方法。;本研究旨在回答以下激励性问题:(1)在次冷冻启动操作期间,什么样的详细热模型设计将准确地表征燃料电池堆和系统? (2)不同的启动策略对能耗和正常运行时间有什么影响?这些问题在本文中得到解决。主要研究结果包括以下基于模型参数值和假设的最佳启动策略建议:(1)使用低于0°C的内部加热方法(除烟囱反应以外);(2)循环冷却剂以实现均匀的热量分布;(3 )最小化冷却剂回路的热质量,(4)加热端板,(5)双极板使用金属,例如不锈钢。

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