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Freeze start drive cycle simulation of a fuel cell powertrain with a two-phase stack model and exergy analysis for thermal management improvement

机译:燃烧电池动力总成的冻结启动循环仿真,具有两相堆叠模型和热管理改进的漏极分析

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This paper integrates a two-phase fuel cell stack model, previously published and validated in Tang et al. (2017) for the specific purpose of investigating freeze start behavior, into a full-hybrid fuel cell power train model to simulate cold start. The aim of the simulation is to provide an overview of exergy loss distribution during a cold start drive cycle scenario. Another intention is to propose a methodology for suggesting the directions in thermal management development. The powertrain model simulates an Artemis-like transient drive cycle starting from similar to 20 degrees C. The heater-core bypass and fuel cell stack power threshold are selected as representative thermal/energy management options. To evaluate the impact of the selected options on the warm up, the accumulated energy consumption and exergy flow rates are analyzed. The statistics from our simulation show that the inefficient energy consumption occurs mainly in the city stage shortly after the successful freeze start. The tank-to-wheel efficiency merely achieves 10.3% in the city stage, while the fuel cell stack can reach nearly 73% exergy efficiency throughout the entire drive cycle and tank-to-wheel efficiency reaches 293% at the end of the whole drive cycle. The improvement is suggested to be focused in the low power demand stages by cutting down to the actual power ratio needed and simultaneously minimize the relevant thermal-hydraulic inertia. Several optimization directions such as cascaded fuel cell stack alignment, split cooling and power demand threshold for active rapid warm up are drawn. The established fuel cell powertrain model combined with exergy analysis is a suitable methodology for further detailed thermal and energy management investigations. (C) 2017 Elsevier Ltd. All rights reserved.
机译:本文集成了一个双相燃料电池堆模型,以前发表并验证在Tang等人。 (2017)为调查冻结开始行为的特定目的,进入全混合燃料电池动力列表模型,以模拟冷启动。模拟的目的是在冷启动循环场景期间提供漏洞损耗分布的概述。另一种意图是提出一种提出一种方法来表达热管理发展方向。动力系模拟从类似于20摄氏度的Artemis的瞬态驱动周期模拟。加热器芯旁路和燃料电池堆功率阈值被选为代表热/能量管理选项。为了评估所选选项对热身的影响,分析了累积的能量消耗和漏洞流速。我们的仿真中的统计数据显示,在成功的冻结后不久,能源消耗的效率消耗主要发生在城市阶段。罐车到车轮效率仅在城市舞台上实现了10.3%,而燃料电池堆在整个驱动循环中可以达到近73%的高效效率,并且在整个驱动器末端达到293%的罐头效率达到293%循环。建议通过切割到低功率需求阶段以所需的实际功率比为重点,并同时最小化相关的热液压惯性。绘制了几种优化方向,例如级联燃料电池堆叠对齐,分离冷却和功率需求阈值,用于激活快速预热。建立的燃料电池动力总成模型与Deervent分析相结合是一种适用于进一步详细的热和能源管理调查的合适方法。 (c)2017 Elsevier Ltd.保留所有权利。

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