共查询到20条相似文献，搜索用时 78 毫秒
1.
INTRODUCTION With worldwide increase of air pollution and the environmental consciousness of governments, people have to look for new resources to mitigate the energy crisis and improve the present environmental status (Ferng et al., 2004; Rowe and Li, 2001). Fuel cells are highly efficient and environmentally clean electrical generators (Mann et al., 2000) that convert the chemical energy of a gaseous fuel directly into elec-tricity energy and play an important role in solving the prob… 相似文献
2.
质子交换膜燃料电池(PEMFC)电堆的温度是影响燃料电池性能的关键因素之一,建立电堆的热系统模型是准确控制电堆温度的基础。文章中利用反向传播(BP)神经网络对质子交换膜燃料电池的静态热系统进行建模。仿真结果表明,神经网络建模方法能够较好地拟合数据。 相似文献
3.
In this paper, a 60 kW proton exchange membrane fuel cell (PEMFC) generation system is modeled in order to design the system
parameters and investigate the static and dynamic characteristics for control purposes. To achieve an overall system model,
the system is divided into five modules: the PEMFC stack (anode and cathode flows, membrane hydration, and stack voltage and
power), cathode air supply (air compressor, supply manifold, cooler, and humidifier), anode fuel supply (hydrogen valve and
humidifier), cathode exhaust exit (exit manifold and water return), and power conditioning (DC/DC and DC/AC) modules. Using
a combination of empirical and physical modeling techniques, the model is developed to set the operation conditions of current,
temperature, and cathode and anode gas flows and pressures, which have major impacts on system performance. The current model
is based on a 60 kW PEMFC power plant designed for residential applications and takes account of the electrochemical and thermal
aspects of chemical reactions within the stack as well as flows of reactants across the system. The simulation tests show
that the system model can represent the static and dynamic characteristics of a 60 kW PEMFC generation system, which is mathematically
simple for system parameters and control designs. 相似文献
4.
This paper presented a control design methodology for a proton exchange membrane fuel cell （PEMFC） generation system for residential applications. The dynamic behavior of the generation system is complex in such applications. A compre- hensive control design is very important for achieving a steady system operation and efficiency. The control strategy for a 60 kW generation system was proposed and tested based on the system dynamic model. A two-variable single neuron proportional-integral （PI） decoupling controller was developed for anode pressure and humidity by adjusting the hydrogen flow and water injection. A similar controller was developed for cathode pressure and humidity by adjusting the exhaust flow and water injection. The desired oxygen excess ratio was kept by a feedback controller based on the load current. An optimal seeking con- troller was used to trace the unique optimal power point. Two negative feedback controllers were used to provide AC power and a suitable voltage for residential loads by a power conditioning unit. Control simulation tests showed that 60 kW PEMFC generation system responded well for computer-simulated step changes in the load power demand. This control methodology for a 60 kW PEMFC generation system would be a competitive solution for system level designs such as parameter design, performance analysis, and online optimization. 相似文献
5.
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
6.
根据在线笔记本系统的特点和具体要求,阐述了用WPF、Socket编程、多线程等技术构建CS多层架构的互联网在线笔记本系统的过程．系统采用WPF技术构建表示层,提供友好的操作界面;用Socket编程技术,建立通道为客户、服务端的通讯服务;用多线程技术,建立专门线程对客户端请求的监听,并为信息交互服务． 相似文献
7.
A power system with proton exchange membrane fuel cells (PEMFC) was designed for thermal underwater glider.Heat generated by PEMFC is used as the propulsion power of the glider,and the electricity is used in the control and sensor system.An electric energy storage system (ESS) is required which possesses high power density with good cycle life.Ultracapacitors which exhibit high power density and cycle life are considered as energy storage devices.Simulations based on a specific voyage condition indicate that ESS with ultracapacitors has positive effects on reducing the output power demand of PEMFC and lightening the power system.Experimental results show that the state of charge (SOC) is related to the capacitance and resistance in ultracapacitor ESS. 相似文献
8.
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
9.
LI Wei ZHU Xin-jian CAO Guang-yi 《浙江大学学报(A卷英文版)》2007,8(5):734-740
This paper describes a solar photovoltaic fuel cell (PVEC) hybrid generation system consisting of a photovoltaic (PV) generator, a proton exchange membrane fuel cell (PEMFC), an electrolyser, a supercapacitor, a storage gas tank and power conditioning unit (PCU). The load is supplied from the PV generator with a fuel cell working in parallel. Excess PV energy when available is converted to hydrogen using an electrolyser for later use in the fuel cell. The individual mathematical model for each component is presented. Control strategy for the system is described. MATLAB/Simulink is used for the simulation of this highly nonlinear hybrid energy system. The simulation results are shown in the paper. 相似文献
10.
WANG Rui-min CAO Guang-yi ZHU Xin-jian 《浙江大学学报(A卷英文版)》2007,8(5):741-747
Model and simulation are good tools for design optimization of fuel cell systems. This paper proposes a new hybrid model of proton exchange membrane fuel cell (PEMFC). The hybrid model includes physical component and black-box com-ponent. The physical component represents the well-known part of PEMFC, while artificial neural network (ANN) component estimates the poorly known part of PEMFC. The ANN model can compensate the performance of the physical model. This hybrid model is implemented on Matlab/Simulink software. The hybrid model shows better accuracy than that of the physical model and ANN model. Simulation results suggest that the hybrid model can be used as a suitable and accurate model for PEMFC. 相似文献
11.
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
12.
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
13.
发展了一种基于MATLAB和VB软件包的质子交换膜燃料电池(PEMFC)特性参数仿真实验软件。主要介绍了仿真软件的建模、设计方法和用户界面构成。仿真实验结果表明,该仿真软件可以满足PEMFC特性参数仿真实验教学的要求,为PEMFC特性参数的实验研究和实验教学与演示提供了一个有效工具。 相似文献
14.
邵庆龙 《深圳信息职业技术学院学报》2007,5(2):25-31
质子交换膜燃料电池的水管理是影响其性能的重要因素之一。电池水管理的目的就是要实现尽可能高的膜的水合程度,降低膜的阻抗。为了更好实现以上目标,文中建立了电池水传输模型,基于模型利用工程逼近分析方法,分析了阴阳极湿度、反应气体流量对膜的水含量和阴阳极水分压的影响。仿真结果通过与其他模型相比较,取得了一致的结果,因此也证明了该模型的有效和实用性。基于以上的分析结果为建立简化的膜水含量控制模型和实现水管理的控制目标奠定基础。 相似文献
15.
The operating temperature of a solid oxide fuel cell （SOFC） stack is a very important parameter to be controlled, which impacts the performance of the SOFC due to thermal cycling. In this paper, an adaptive fuzzy control method based on an affine nonlinear temperature model is developed to control the temperature of the SOFC within a specified range. Fuzzy logic systems are used to approximate nonlinear functions in the SOFC system and an adaptive technique is employed to construct the controller. Compared with the traditional fuzzy and proportion-integral-derivative （PID） control, the simulation results show that the designed adaptive fuzzy control method performed much better. So it is feasible to build an adaptive fuzzy controller for temperature control of the SOFC. 相似文献
16.
Hubert K. Rampersad 《Performance Improvement》2008,47(6):34-37
A strong personal brand is an important asset in today's online, virtual, and individual age. As a human performance technology (HPT) professional, you should take control of your brand and the message it sends. This article introduces an authentic personal branding model that will help HPT professionals build an effective personal brand that they can project in everything they do. 相似文献
17.
统一建模语言(UML)是一种可视化的面向对象的建模语言，具有强大的行为建模能力，我们将UML行为模型应用到高速公路收费系统的设计中，根据这种思路设计的长潭高速公路收费系统运行安全可靠，结构严谨。 相似文献
18.
INTRODUCTION The proton exchange membrane fuel cell(PEMFC)is a very promising power source for resi-dential and mobile applications due to its attractive features such as high power density,relatively low operating temperature,convenient fuel supply,long lifetime,etc.(Chalk et al.,2000;Lee and Mukergee,1998).Despite these advantages,commercialization of PEMFC is delayed mainly due to the high fabrica-tion cost.Bipolar plates,most commonly used among the PEMFC components,are the gra… 相似文献
19.
潘晓宁 《深圳信息职业技术学院学报》2007,5(1):14-20
针对具有外部扰动的一类非线性飞行控制系统提出了一种在线神经网络控制的方法,应用3个在线神经网络分别实时抵消系统中的非线性部分、与控制量耦合的非线性项以及外部扰动,使受控系统的输出可以完全跟踪给定输入参考信号。文中以一个实际的验证机非线性模型为仿真对象,验证了这种方法的有效性,由于在线神经网络的动态补偿特性,即使飞机在不同的高度和速度下,在模型参数发生改变时,控制过程并不需要改变增益表就可以完成全包络的飞行跟踪控制,相关的定理证明了整个神经自适应飞行闭环控制系统的稳定性,仿真示例表明了该设计方法的有效性。 相似文献
20.
WU Xiao-juan ZHU Xin-jian CAO Guang-yi TU Heng-yong 《浙江大学学报(A卷英文版)》2007,8(9):1505-1509
The solid oxide fuel cell (SOFC) is a nonlinear system that is hard to model by conventional methods. So far,most existing models are based on conversion laws,which are too complicated to be applied to design a control system. To facilitate a valid control strategy design,this paper tries to avoid the internal complexities and presents a modelling study of SOFC per-formance by using a radial basis function (RBF) neural network based on a genetic algorithm (GA). During the process of mod-elling,the GA aims to optimize the parameters of RBF neural networks and the optimum values are regarded as the initial values of the RBF neural network parameters. The validity and accuracy of modelling are tested by simulations,whose results reveal that it is feasible to establish the model of SOFC stack by using RBF neural networks identification based on the GA. Furthermore,it is possible to design an online controller of a SOFC stack based on this GA-RBF neural network identification model. 相似文献