One of the majorissuesli mitingtheintroduction of polymer electrolyte membranefuel cells(PEMFCs) is thelowtemperature ofoperation which makes platinum-based anode catalysts susceptible to poisoning by the trace amount...One of the majorissuesli mitingtheintroduction of polymer electrolyte membranefuel cells(PEMFCs) is thelowtemperature ofoperation which makes platinum-based anode catalysts susceptible to poisoning by the trace amount of CO,inevitably present in reformedfuel.In order to alleviate the problemof COpoisoning andi mprove the power density of the cell,operating at temperature above 100 ℃ispreferred.Nafion-type perfluorosulfonated polymers have been typically used for PEMFC.However,the conductivity of Nafion-typepolymers is not high enoughto be usedfor fuel cell operations at higher temperature(>90 ℃) and atmospheric pressure because they dehy-drate under these condition.An additional problem which faces the introduction of PEMFCtechnology is that of supplying or storing hydrogen for cell operation,especially for vehicular applications.Consequently the use of alternative fuels such as methanol and ethanol is of interest,especially if thiscan be used directlyinthe fuel cell,without reformationto hydrogen.Ali mitation of the direct use of alcohol is thelower activity of oxida-tionin comparison to hydrogen,which means that power densities are considerably lower.Hence to i mprove activity and power outputhigher temperatures of operation are preferable.To achieve this goal,requires a newpolymer electrolyte membrane which exhibits stabilityand high conductivityin the absence of liquid water.Experi mental data on a polybenzi midazole based PEMFC were presented.Asi mple steady-stateisothermal model of the fuel cell is alsoused to aidin fuel cell performance opti misation.The governing equations involve the coupling of kinetic,ohmic and mass transport.Thispaper also considers the advances madeinthe performance of direct methanol and solid polymer electrolyte fuel cells and considers theirli mi-tations in relation to the source and type of fuels to be used.展开更多
A practical method of estimation for the internal-resistance of polymer electrolyte membrane fuel cell (PEMFC) stack was adopted based on radial basis function (RBF) neural networks. In the training process, k-means c...A practical method of estimation for the internal-resistance of polymer electrolyte membrane fuel cell (PEMFC) stack was adopted based on radial basis function (RBF) neural networks. In the training process, k-means clustering algorithm was applied to select the network centers of the input training data. Furthermore, an equivalent electrical-circuit model with this internal-resistance was developed for investigation on the stack. Finally using the neural networks model of the equivalent resistance in the PEMFC stack, the simulation results of the estimation of equivalent internal-resistance of PEMFC were presented. The results show that this electrical PEMFC model is effective and is suitable for the study of control scheme, fault detection and the engineering analysis of electrical circuits.展开更多
文摘One of the majorissuesli mitingtheintroduction of polymer electrolyte membranefuel cells(PEMFCs) is thelowtemperature ofoperation which makes platinum-based anode catalysts susceptible to poisoning by the trace amount of CO,inevitably present in reformedfuel.In order to alleviate the problemof COpoisoning andi mprove the power density of the cell,operating at temperature above 100 ℃ispreferred.Nafion-type perfluorosulfonated polymers have been typically used for PEMFC.However,the conductivity of Nafion-typepolymers is not high enoughto be usedfor fuel cell operations at higher temperature(>90 ℃) and atmospheric pressure because they dehy-drate under these condition.An additional problem which faces the introduction of PEMFCtechnology is that of supplying or storing hydrogen for cell operation,especially for vehicular applications.Consequently the use of alternative fuels such as methanol and ethanol is of interest,especially if thiscan be used directlyinthe fuel cell,without reformationto hydrogen.Ali mitation of the direct use of alcohol is thelower activity of oxida-tionin comparison to hydrogen,which means that power densities are considerably lower.Hence to i mprove activity and power outputhigher temperatures of operation are preferable.To achieve this goal,requires a newpolymer electrolyte membrane which exhibits stabilityand high conductivityin the absence of liquid water.Experi mental data on a polybenzi midazole based PEMFC were presented.Asi mple steady-stateisothermal model of the fuel cell is alsoused to aidin fuel cell performance opti misation.The governing equations involve the coupling of kinetic,ohmic and mass transport.Thispaper also considers the advances madeinthe performance of direct methanol and solid polymer electrolyte fuel cells and considers theirli mi-tations in relation to the source and type of fuels to be used.
文摘为了同时优化质子交换膜燃料电池(proton exchange membrane fuel cells,PEMFC)系统的效率和输出功率,文章首先建立PEMFC系统的机理模型,并分析系统效率和输出功率特性;其次针对传统灰狼算法(grey wolf optimizer,GWO)的初始化种群不均匀和易出现早熟收敛的问题,引入佳点集种群初始化策略和非线性收敛因子策略,并由此提出一种改进多目标灰狼优化算法(multi-objective grey wolf optimizer,MOGWO),有效改善了灰狼算法的搜索精度和收敛性能;然后针对改进多目标灰狼优化算法求得的Pareto最优解集,使用TOPSIS评价法得出逼近理想解的最佳解,确定PEMFC系统的最佳运行条件;最后对所提出的MOGWO算法进行仿真验证,结果表明该算法能够有效提高PEMFC系统在实际运行中的输出功率和系统效率。
基金Project (2003AA517020) supported by the National High-Tech Research and Development Program of China
文摘A practical method of estimation for the internal-resistance of polymer electrolyte membrane fuel cell (PEMFC) stack was adopted based on radial basis function (RBF) neural networks. In the training process, k-means clustering algorithm was applied to select the network centers of the input training data. Furthermore, an equivalent electrical-circuit model with this internal-resistance was developed for investigation on the stack. Finally using the neural networks model of the equivalent resistance in the PEMFC stack, the simulation results of the estimation of equivalent internal-resistance of PEMFC were presented. The results show that this electrical PEMFC model is effective and is suitable for the study of control scheme, fault detection and the engineering analysis of electrical circuits.
