MatSciRN: Fuel Cell Catalysis (Topic)最新文献

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Model Parameters Estimation of a Proton Exchange Membrane Fuel Cell Using Improved Version of Archimedes Optimization Algorithm 基于改进阿基米德优化算法的质子交换膜燃料电池模型参数估计
MatSciRN: Fuel Cell Catalysis (Topic) Pub Date : 2021-11-01 DOI: 10.2139/ssrn.3877174
H. Hayati
{"title":"Model Parameters Estimation of a Proton Exchange Membrane Fuel Cell Using Improved Version of Archimedes Optimization Algorithm","authors":"H. Hayati","doi":"10.2139/ssrn.3877174","DOIUrl":"https://doi.org/10.2139/ssrn.3877174","url":null,"abstract":"In the present study, a new technique was proposed for best variable identification for modeling of a Proton Exchange Membrane (PEM) fuel cell. The major idea is providing a new methodology to best variables estimation so that the absolute error (IAE) between the estimated data based on the proposed model and the real data has been minimized. The proposed method uses a new improved design of Archimedes Optimization Algorithm (IAOA) to this purpose. The designed model is then implemented on two practical case studies and the results are compared with some well-known methods. Final achievements indicate that the suggested method has a good efficiency and high data fitting with optimal parameters estimation.","PeriodicalId":411007,"journal":{"name":"MatSciRN: Fuel Cell Catalysis (Topic)","volume":"38 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121005385","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 11
Portable Fuel Cell System Emulator as a Hardware-in-Loop Setup 便携式燃料电池系统仿真器的硬件在环设置
MatSciRN: Fuel Cell Catalysis (Topic) Pub Date : 2020-04-30 DOI: 10.2139/ssrn.3645432
S. Barhate, R. Mudhalwadkar
{"title":"Portable Fuel Cell System Emulator as a Hardware-in-Loop Setup","authors":"S. Barhate, R. Mudhalwadkar","doi":"10.2139/ssrn.3645432","DOIUrl":"https://doi.org/10.2139/ssrn.3645432","url":null,"abstract":"PEM (Proton exchange membrane) fuel cell is an electrochemical device that generates electricity along with heat and water as by-products. Hence, it is a clean source of energy for stationary as well as automotive applications. The fuel cell is being researched and experimented for its applications, durability, and efficiency. An experimental setup needs expensive fuel cell or stack, measuring instruments, programmable load, reactant gas cylinders, humidifier, and heater. The use of hydrogen in the laboratory needs safety compliance. Hence, it adds difficulty in making experimental setups. Moreover, conducting experiments with various membrane sizes, reactant pressure, stack sizes, power densities, fault conditions simulation is difficult with real fuel cell setup. This paper proposes a portable fuel cell system emulator for experimentation and fault testing. The emulator is designed using a Renesas microcontroller RL78. The fuel cell is emulated by a model developed using MATLAB®/Simulink®. The emulator enables configuring stack size, reactant pressures, membrane sizes, gas humidification levels. It helps to conduct various experiments without having expensive fuel cell and associated system components.","PeriodicalId":411007,"journal":{"name":"MatSciRN: Fuel Cell Catalysis (Topic)","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-04-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128249118","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 2
A Study of Platinum Metal Surface as a Component of Fuel Cells 铂金属表面作为燃料电池组件的研究
MatSciRN: Fuel Cell Catalysis (Topic) Pub Date : 2019-07-18 DOI: 10.2139/ssrn.3422165
Kenate Nemera
{"title":"A Study of Platinum Metal Surface as a Component of Fuel Cells","authors":"Kenate Nemera","doi":"10.2139/ssrn.3422165","DOIUrl":"https://doi.org/10.2139/ssrn.3422165","url":null,"abstract":"Adsorption energies of small molecules carbon monoxide and hydrogen are studied using density functional theory and the neural network method of generating higher dimensional potential energy surfaces. Various lower index surfaces of platinum metal are considered, and the adsorption energies appear to increase according to: P t(211) > P t(100) > P t(110) > P t(111) with the adsorption of both molecules. The large adsorption energies mean only energetic interactions with the ions from air such as oxygen ion can detach the adsorbates from the surface thereby forming water and carbon monoxide as by-products. Exploring possible adsorption sites gives insight on better ways in which charge exchanges are maximized while at the same time forming of the by-products becomes efficient. The adsorption energies range between 0.85 eV to 2.08 eV with the adsorption of CO while the values are between 1.30 eV to 1.9 eV with the adsorption of hydrogen. Charge transfers give some insight into the study of electrification process in the system. These values are computed to be about 0.37e with the adsorption of hydrogen and upto 0.24e with the adsorption of carbon monoxide. Training of the system potential energies using the neural network method shows promising opportunity to study further complex problems in such systems.","PeriodicalId":411007,"journal":{"name":"MatSciRN: Fuel Cell Catalysis (Topic)","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120965582","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 1
Hydrogen Flow Control for a Fuel Cell Hybrid Electric Vehicle Using Anfis and Fuzzy Logic Controller 基于Anfis和模糊控制器的燃料电池混合动力汽车氢流控制
MatSciRN: Fuel Cell Catalysis (Topic) Pub Date : 1900-01-01 DOI: 10.2139/ssrn.3943846
Y. Mouloudi, Abdallah Ben Abdelkader, H. Moughli
{"title":"Hydrogen Flow Control for a Fuel Cell Hybrid Electric Vehicle Using Anfis and Fuzzy Logic Controller","authors":"Y. Mouloudi, Abdallah Ben Abdelkader, H. Moughli","doi":"10.2139/ssrn.3943846","DOIUrl":"https://doi.org/10.2139/ssrn.3943846","url":null,"abstract":"The traditional internal combustion engine may be replaced with an electric motor to reduce CO2 emissions from cars locally and to fight climate change. Purely electrochemical storage in batteries and chemical storage in hydrogen with later conversion to electrical energy via a fuel cell stack are the two most beneficial options for storing the necessary electrical power in the vehicle. Both variants may be combined with a fuel cell range extender in a battery-electric vehicle, which can be refuelled either electrically or with hydrogen. The air compressor, a critical component of a PEM fuel cell system in a performance improvement to satisfy the vehicle's power requirements under different driving conditions, lowers the fuel cell's equivalent fuel consumption and improves the overall efficiency of energy storage systems. This study using SimPowerSystems software employs conventional PID and intelligent global optimization techniques to determine the optimum power distribution between the Fuel cell system FCS and the energy secondary source ESS for a particular road route (FUZZY and ANFIS). Study results must provide appropriate driving comfort (speeds, accelerations) while not penalizing the vehicle's energy performance. Finally, the results demonstrate that the suggested method (ANFIS) outperforms the conventional PID controller and FLC in many areas essential in a closed-loop control system of a hybrid model in an electric vehicle.","PeriodicalId":411007,"journal":{"name":"MatSciRN: Fuel Cell Catalysis (Topic)","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115465849","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
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