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首页> 外文期刊>Journal of power electronics >Maximum Efficiency Point Tracking Algorithm Using Oxygen Access Ratio Control for Fuel Cell Systems
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Maximum Efficiency Point Tracking Algorithm Using Oxygen Access Ratio Control for Fuel Cell Systems

机译:燃料电池系统中基于氧气进入率控制的最大效率点跟踪算法

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摘要

The air flow supplied to a fuel cell system is one of the most significant factors in determining fuel efficiency. The conventional method of controlling the air flow is to fix the oxygen supply at an estimated constant rate for optimal efficiency. However, the actual optimal point can deviated from the pre-set value due to temperature, load conditions and so on. In this paper, the maximum efficiency point tracking (MEPT) algorithm is proposed for finding the optimal air supply rate in real time to maximize the net-power generation of fuel cell systems. The fixed step MEPT algorithm has slow dynamics, thus it affects the overall efficiency. As a result, the variable step MEPT algorithm is proposed to compensate for this problem instead of a fixed one. The complete small signal model of a PEM Fuel cell system is developed to perform a stability analysis and to present a design guideline. For a design example, a lkW PEM fuel cell system with a DSP 56F807 (Motorola Inc) was built and tested using the proposed MEPT algorithm. This control algorithm is very effective for a soft current change load like a grid connected system or a hybrid electric vehicle system with a secondary energy source.
机译:提供给燃料电池系统的空气流是确定燃料效率的最重要因素之一。控制气流的常规方法是将氧气供应固定在估计的恒定速率上,以实现最佳效率。但是,由于温度,负载条件等因素,实际最佳点可能会偏离预设值。本文提出了最大效率点跟踪(MEPT)算法,以实时找到最佳空气供应率,以使燃料电池系统的净发电量最大化。固定步长的MEPT算法动力学较慢,因此会影响整体效率。结果,提出了可变步长的MEPT算法来代替固定问题来弥补这一问题。开发了PEM燃料电池系统的完整小信号模型以执行稳定性分析并提出设计指南。对于一个设计示例,使用建议的MEPT算法构建并测试了具有DSP 56F807(摩托罗拉公司)的1kW PEM燃料电池系统。对于诸如电网连接系统或具有二次能源的混合动力汽车系统之类的软电流变化负载,此控制算法非常有效。

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