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NomenclatureA-area ( m2)Dw-membrane water diffusivity ( m2/s)F-=96 487I-current (A)M-molecule mass (kg/mol)T-temperature (K)W-mass flowrate (kg/s)cw-water concentration in membrane ( mol/m3)m-mass (kg)n-cell numbernd-electro-osmotic drag coefficientp-pres… 相似文献
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INTRODUCTION Fuel cells have attracted more attention in the last few years due to scarcity of the world energy source. The Proton Exchange Membrane Fuel Cell (PEMFC) is the focus of current development efforts because it is capable of higher power density and faster start-up than other fuel cells (Zhang et al., 2004). Research emphasis is on high power density with adequate energy conversion efficiency. PEMFC performance is related to many factors, among which electrolyte membrane … 相似文献
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INTRODUCTION Distributed cogeneration technology is a hot topic in electrical and energy industries (Ferguson and Ugursal, 2004). China’s need to limit the power usage in some places to meet the peak power demand in summer of recent years stimulated and supported increasing research on distributed generation tech- nologies. Fuel cells, as renewable energy sources, are considered one of the most promising sources of distributed electrical power. Operational fuel cell systems have perform… 相似文献
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To prevent the oxygen starvation and improve the system output performance, an adaptive inverse control (AIC) strategy is developed to regulate the air supply flow of a proton exchange membrane fuel cell (PEMFC) system in this paper.The PEMFC stack and the air supply system including a compressor and a supply manifold are modeled for the purpose of performance analysis and controller design. A recurrent fuzzy neural network (RFNN) is utilized to identify the inverse model of the controlled system and generates a suitable control input during the abrupt step change of external disturbances. Compared with the PI controller, numerical simulations are performed to validate the effectiveness and advantages of the proposed AIC strategy. 相似文献
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LIU Cheng-ze ZHU Xin-jian 《浙江大学学报(A卷英文版)》2006,7(11):1878-1885
INTRODUCTION Proton Exchange Membrane Fuel Cell (PEMFC) is being rapidly developed in recent years because of its compact structure, light weight, low working temperature and rapid startup characteristics. But its E-I characteristic curve reveals its decreasing per- formance when confronted with suddenly increasing power demand, and high cost also restrains the ap- plication of the fuel cell. So the hybrid power scheme is the most suitable selection presently. Most of researches on fu… 相似文献
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针对目前燃料电池控制系统设计复杂、能耗高、价格贵等问题,提出一种基于Mega 64单片机作为核心控制单元的5 kW质子交换膜燃料电池控制系统设计与实现方案。该方案采用工业传感器采集燃料电池的各项参数,采取闭环PID控制保证输出电压稳定,实现了对燃料电池的氢气供给系统、氧气供给系统、水温控制系统及逆变并网供电系统的检测与控制。系统具备在线设置运行参数,保存历史数据等功能,并且具有良好的人机交互界面,方便进行实时监控。现场运行结果表明,该系统设计可靠,运行稳定。 相似文献
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揭雪飞 《广东轻工职业技术学院学报》2004,3(1):38-41
各国政府、公司及其附属科研机构为燃料电池的商业化作出的巨大努力,分别以PC25^（TM）磷酸燃料电池（PAFC）、固体氧化物燃料电池（SOFC）以及质子交换膜燃料电池（PEMFC）为例,阐述了燃料电池的商业化概况。最后,对燃料电池技术进入市场所面临的主要障碍和有待解决的技术难题进行了简要阐述。 相似文献
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This paper discusses dynamic characteristics of proton exchange membrane fuel cell (PEMFC) under rapid fluctuation of power demand. Wavelet neural network is adopted in the identification of the characteristic curve to predict the voltage. The system control scheme of the voltage and power is introduced. The corresponding schemes for voltage and power control are studied. MATLAB is used to simulate the control system. The results reveal that the adopted control schemes can produce expected effects. Corresponding anti-disturbance and robustness simulation are also carried out. The simulation results show that the implemented control schemes have better robustness and adaptability. 相似文献
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Control design is important for proton exchange membrane fuel cell （PEMFC） generator. This work researched the anode system ofa 60-kW PEMFC generator. Both anode pressure and humidity must be maintained at ideal levels during steady operation. In view of characteristics and requirements of the system, a hybrid intelligent PID controller is designed specifically based on dynamic simulation. A single neuron PI controller is used for anode humidity by adjusting the water injection to the hydrogen cell. Another incremental PID controller, based on the diagonal recurrent neural network （DRNN） dynamic identification, is used to control anode pressure to be more stable and exact by adjusting the hydrogen flow rate. This control strategy can avoid the coupling problem of the PEMFC and achieve a more adaptive ability. Simulation results showed that the control strategy can maintain both anode humidity and pressure at ideal levels regardless of variable load, nonlinear dynamic and coupling characteristics of the system. This work will give some guides for further control design and applications of the total PEMFC generator. 相似文献
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燃料电池控制系统是质子交换膜燃料电池(PEMFC)的关键技术之一。电堆运行时,控制系统要能够根据实际运行状态提供合适的反应环境和相应的原料,以保证PEMFC工作的可靠性和高效性[1]。本文研制的5 kW的PEMFC控制系统,以ATMEGA64单片机为核心,配合OCMJ D系列液晶显示模块,实现了对PEMFC的氢气供给系统、空气供给系统、水冷系统以及并网供电系统的控制和检测,并且通过串行通信,实时地显示PEMFC的工作状态,建立了友好的人机操作界面。 相似文献