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Comparison of Two Models for Temperature Observation of Miniature PEM Fuel Cells Under Dry Conditions

机译:干燥条件下两种微型PEM燃料电池温度观测模型的比较

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摘要

Water and thermal management have been identified as technical hurdles to the successful implementation of low-temperature polymer electrolyte membrane (PEM) fuel cell (PEMFC) power systems. In low-power applications, miniature PEMFCs show significant promise as a competitor to lithium-ion batteries. Significant design work is underway to improve the specific power and energy densities of these fuel cells. However, little attention has been given to characterizing transient response in these miniature applications to enable gains in system design, optimization, and control. This work develops, calibrates, and experimentally validates two different dynamic control-oriented models for open-loop temperature state observation in miniature PEMFCs. Of critical importance, these estimators target operation under dry conditions with no reactant pretreatment. Operational conditions are then identified for which each model architecture is more suitable, specifically targeting minimal model complexity. A sensitivity analysis was completed that indicates necessary sensor measurements with sensor frugality in mind. The dynamic responses under changes in load and fuel stoichiometry are well captured over a range of operating conditions.
机译:水和热管理已被确定为成功实施低温聚合物电解质膜(PEM)燃料电池(PEMFC)电力系统的技术障碍。在低功率应用中,微型PEMFC有望成为锂离子电池的竞争对手。为了改善这些燃料电池的比功率和能量密度,正在进行大量的设计工作。但是,很少有人关注表征这些微型应用中的瞬态响应以实现系统设计,优化和控制方面的收益。这项工作开发,校准和实验验证了两种不同的面向动态控制的模型,用于微型PEMFC中的开环温度状态观察。至关重要的是,这些估算器的目标是在没有反应物预处理的干燥条件下运行。然后确定每个模型架构都更适合的操作条件,特别是针对最小模型复杂性的操作条件。灵敏度分析完成后,在进行必要的传感器测量时应牢记传感器的节俭。在负载和燃料化学计量比变化下的动态响应可以在一定范围的运行条件下很好地捕获。

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