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Air flow control based on optimal oxygen excess ratio in fuel cells for vehicles

机译:基于最优燃料电池中氧气过量比的空气流量控制

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Abstract Air flow control is one of the most important control methods for maintaining the stability and reliability of a fuel cell system, which can avoid oxygen starvation or oxygen saturation. The oxygen excess ratio (OER) is often used to indicate the air flow condition. Based on a fuel cell system model for vehicles, OER performance was analyzed for different stack currents and temperatures in this paper, and the results show that the optimal OER was affected weakly by the stack temperature. In order to ensure the system working in optimal OER, a control scheme that includes an optimal OER regulator and a fuzzy control was proposed. According to the stack current, a reference value of air flow rate was obtained with the optimal OER regulator and then the air compressor motor voltage was controlled with the fuzzy controller to adjust the air flow rate provided by the air compressor. Simulation results show that the control method has good dynamic and static characteristics.
机译:摘要空气流量控制是维持燃料电池系统稳定性和可靠性的最重要的控制方法之一,它可以避免缺氧或缺氧。氧气过量比(OER)通常用于指示空气流动状况。基于车辆的燃料电池系统模型,本文分析了不同堆电流和温度下的OER性能,结果表明,最佳OER受堆温度的影响很小。为了保证系统在最优OER下工作,提出了一种包含最优OER调节器和模糊控制的控制方案。根据烟囱电流,使用最佳OER调节器获得空气流速的参考值,然后通过模糊控制器控制空气压缩机的电动机电压,以调节空气压缩机提供的空气流速。仿真结果表明,该控制方法具有良好的动,静态特性。

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