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Air flow control based on optimal oxygen excess ratio in fuel cells for vehicles 被引量:1

Air flow control based on optimal oxygen excess ratio in fuel cells for vehicles
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摘要 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. 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.
出处 《Journal of Modern Transportation》 2013年第2期79-85,共7页 现代交通学报(英文版)
基金 supported by the National Natural Science Foundation of China (No. 51177138) the Research Fund for the Doctoral Program of High Education of China (No.20100184110015) Sichuan Province International Technology Cooperation and Exchange Program (No. 2012HH0007)
关键词 Fuel cells Oxygen excess ratio Air flow Fuzzy control Fuel cells Oxygen excess ratio Air flow Fuzzy control
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