Parameter Estimation of Proton Exchange Membrane Fuel Cells Using Chaotic Newton-Raphson-Based Optimizer
This paper presents a novel improved metaheuristic algorithm, Chaotic Newton-Raphson-Based Optimizer (CNRBO), for the Proton Exchange Membrane Fuel Cells (PEMFCs) parameter extraction problem. In this study, ten distinct chaotic maps are integrated within the Newton-Raphson-based optimizer (NRBO) to...
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Elsevier
2024-12-01
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| Series: | Results in Engineering |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S2590123024016220 |
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| author | Mahmoud S. AbouOmar Ahmed Eltayeb Maged S. Al-Quraishi Sami El Ferik |
| author_facet | Mahmoud S. AbouOmar Ahmed Eltayeb Maged S. Al-Quraishi Sami El Ferik |
| author_sort | Mahmoud S. AbouOmar |
| collection | DOAJ |
| description | This paper presents a novel improved metaheuristic algorithm, Chaotic Newton-Raphson-Based Optimizer (CNRBO), for the Proton Exchange Membrane Fuel Cells (PEMFCs) parameter extraction problem. In this study, ten distinct chaotic maps are integrated within the Newton-Raphson-based optimizer (NRBO) to improve its performance. The chaotic maps are employed to define the probability of the trap avoidance operator (TAO). The proposed CNRBO algorithm is validated using standard benchmark optimization problems. Results proved its advantages over the standard NRBO algorithm in terms of accuracy, robustness, and convergence speed. For PEMFC parameters extraction using the proposed CNRBO algorithm, the objective function to be minimized is the sum of squared errors (SSE) between estimated and measured stack voltages across various data points. To validate the effectiveness and reliability of the proposed CNRBO, its performance is compared with recent algorithms on eight different PEMFC stack models including NedStackPS6, BCS 500W, Horizon 500W, 250W stack, Avista SR-12 500W, Temasek 1KW, Ballard Mark V 5KW and Horizon H-1000XP stack. Statistical measures are employed to assess the superiority and robustness of the proposed CNRBO. Statistical analyses demonstrate that the proposed CNRBO algorithm outperforms existing algorithms in terms of accuracy, search capability, and convergence speed, solidifying its position as a powerful tool for PEMFC parameter estimation. |
| format | Article |
| id | doaj-art-3b1c4dd8a8c743ec8f90768b384910f6 |
| institution | Kabale University |
| issn | 2590-1230 |
| language | English |
| publishDate | 2024-12-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Results in Engineering |
| spelling | doaj-art-3b1c4dd8a8c743ec8f90768b384910f62024-12-19T10:59:11ZengElsevierResults in Engineering2590-12302024-12-0124103369Parameter Estimation of Proton Exchange Membrane Fuel Cells Using Chaotic Newton-Raphson-Based OptimizerMahmoud S. AbouOmar0Ahmed Eltayeb1Maged S. Al-Quraishi2Sami El Ferik3Interdisciplinary Research Center for Smart Mobility and Logistics, King Fahd University of Petroleum & Minerals, 31261, Saudia Arabia; Control and Instrumentation Engineering Department, King Fahd University of Petroleum & Minerals, 31261, Saudia Arabia; Correspondence.Interdisciplinary Research Center for Smart Mobility and Logistics, King Fahd University of Petroleum & Minerals, 31261, Saudia Arabia; Control and Instrumentation Engineering Department, King Fahd University of Petroleum & Minerals, 31261, Saudia ArabiaInterdisciplinary Research Center for Smart Mobility and Logistics, King Fahd University of Petroleum & Minerals, 31261, Saudia ArabiaInterdisciplinary Research Center for Smart Mobility and Logistics, King Fahd University of Petroleum & Minerals, 31261, Saudia Arabia; Control and Instrumentation Engineering Department, King Fahd University of Petroleum & Minerals, 31261, Saudia ArabiaThis paper presents a novel improved metaheuristic algorithm, Chaotic Newton-Raphson-Based Optimizer (CNRBO), for the Proton Exchange Membrane Fuel Cells (PEMFCs) parameter extraction problem. In this study, ten distinct chaotic maps are integrated within the Newton-Raphson-based optimizer (NRBO) to improve its performance. The chaotic maps are employed to define the probability of the trap avoidance operator (TAO). The proposed CNRBO algorithm is validated using standard benchmark optimization problems. Results proved its advantages over the standard NRBO algorithm in terms of accuracy, robustness, and convergence speed. For PEMFC parameters extraction using the proposed CNRBO algorithm, the objective function to be minimized is the sum of squared errors (SSE) between estimated and measured stack voltages across various data points. To validate the effectiveness and reliability of the proposed CNRBO, its performance is compared with recent algorithms on eight different PEMFC stack models including NedStackPS6, BCS 500W, Horizon 500W, 250W stack, Avista SR-12 500W, Temasek 1KW, Ballard Mark V 5KW and Horizon H-1000XP stack. Statistical measures are employed to assess the superiority and robustness of the proposed CNRBO. Statistical analyses demonstrate that the proposed CNRBO algorithm outperforms existing algorithms in terms of accuracy, search capability, and convergence speed, solidifying its position as a powerful tool for PEMFC parameter estimation.http://www.sciencedirect.com/science/article/pii/S2590123024016220PEM fuel cellParameter extractionChaotic Newton-Raphson-based optimizer (CNRBO) |
| spellingShingle | Mahmoud S. AbouOmar Ahmed Eltayeb Maged S. Al-Quraishi Sami El Ferik Parameter Estimation of Proton Exchange Membrane Fuel Cells Using Chaotic Newton-Raphson-Based Optimizer Results in Engineering PEM fuel cell Parameter extraction Chaotic Newton-Raphson-based optimizer (CNRBO) |
| title | Parameter Estimation of Proton Exchange Membrane Fuel Cells Using Chaotic Newton-Raphson-Based Optimizer |
| title_full | Parameter Estimation of Proton Exchange Membrane Fuel Cells Using Chaotic Newton-Raphson-Based Optimizer |
| title_fullStr | Parameter Estimation of Proton Exchange Membrane Fuel Cells Using Chaotic Newton-Raphson-Based Optimizer |
| title_full_unstemmed | Parameter Estimation of Proton Exchange Membrane Fuel Cells Using Chaotic Newton-Raphson-Based Optimizer |
| title_short | Parameter Estimation of Proton Exchange Membrane Fuel Cells Using Chaotic Newton-Raphson-Based Optimizer |
| title_sort | parameter estimation of proton exchange membrane fuel cells using chaotic newton raphson based optimizer |
| topic | PEM fuel cell Parameter extraction Chaotic Newton-Raphson-based optimizer (CNRBO) |
| url | http://www.sciencedirect.com/science/article/pii/S2590123024016220 |
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