Improved fish migration optimization method to identify PEMFC parameters |
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| Affiliation: | 1. School of Computer and Information, Qiannan Normal University for Nationalities, Duyun, Guizhou, 558000, China;2. Key Laboratory of Complex Systems and Intelligent Optimization of Guizhou Province, Duyun, Guizhou, 558000, China;3. Key Laboratory of Complex Systems and Intelligent Optimization of Qiannan, Guizhou 558000, China;4. Department of Industrial Engineering, College of Engineering, Prince Sattam Bin Abdulaziz University, Alkharj 16273, Saudi Arabia;5. Institute of Engineering and Technology, GLA University, Mathura, U.P., 281406, India;6. Department of Civil Engineering, College of Engineering, Cihan University-Erbil, Erbil, Iraq;7. Department of Civil Engineering, College of Engineering, King Saud University, P.O. Box 800, Riyadh 11421, Saudi Arabia;8. Department of Information Technology, College of Engineering and Computer Science, Lebanese French University, Kurdistan Region, Iraq;1. School of Computer and Information, Qiannan Normal University for Nationalities, Duyun, Guizhou 558000, China;2. Key Laboratory of Complex Systems and Intelligent Optimization of Guizhou Province, Duyun, Guizhou 558000, China;3. Institute for Big Data Analytics and Artificial Intelligence (TBDAAI), Universiti Teknologi MARA, 40450 Shah Alam, Selangor, Malaysia;4. Institute of Engineering and Technology, GLA University, Mathura, UP 281406, India;5. Department of Communication and Computer Engineering, Faculty of Engineering, Cihan University-Erbil, Kurdistan Region, Iraq;6. Applied Medical Science Department, Community College, King Saud University, P.O Box 11433, Riyadh, Saudi Arabia;7. Department Electronics and Electrical Communications Engineering, Facially of Electronic Engineering, Menoufia University, Meriouf 32952, Egypt;1. Key Laboratory of Low-grade Energy Utilization Technologies and Systems of Ministry of Education, School of Energy and Power Engineering, Chongqing University;2. State Key Laboratory of High-efficiency Utilization of Coal and Green Chemical Engineering, Ningxia University, Yinchuan 750021, China;1. Federal Scientific Agroengineering Center VIM, 1st Institutsky Proezd, 5, 109428, Moscow, Russia;2. Russian University of Transport, 127994, Moscow, Russia;1. Key Laboratory of New Materials and Facilities for Rural Renewable Energy, Ministry of Agriculture and Rural Affairs, College of Mechanical & Electrical Engineering, Henan Agricultural University, Zhengzhou, 450002, China;2. Henan International Joint Laboratory of Biomass Energy and Nanomaterials, Henan Agricultural University, Zhengzhou, 450002, China |
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| Abstract: | In a worldwide environment context where the emergency need to decrease pollutant emissions is an important issue, the research for solutions is increasing. Fuel cell technology is anticipated to become a practicable approach for solving the problem of pollution due to its environmentally friendly characteristics. In this work, a novel problem formulation is suggested for the efficient recognition of PEMFC parameters which the solving is by using the Improved Fish Migration Optimizer (IFMO) technique. After coding the steps of the algorithm in MATLAB, the objective function is resolved for the fuel cell. Comprehensive simulations evaluate the formulation performance with the suggested and traditional objective functions; then, the outcomes are compared. To confirm the suggested formulation ascendancy compared to the traditional curve-fitting method, a complete assessment based on convergence rate, the value of the objective function, and the value of absolute voltage error are performed. The achieved value of the objective function, absolute voltage error, and average time of computation is 0.005, 0.4, and 1.63, respectively. Environmentally, the combustion of hydrogen and its use in PEMFC produce no carbon dioxide. |
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| Keywords: | PEMFC Modeling of the fuel cell Environmental consideration Improved fish migration optimizer Extraction of fuel cell parameter |
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