A new technique for optimal estimation of the circuit-based PEMFCs using developed Sunflower Optimization Algorithm
This paper proposes a new methodology for the optimal selection of the parameters for proton exchange membrane fuel cell (PEMFC) models. The proposed method is to optimal parameter selection of the circuit-based model of the PEMFC model to minimize the sum of squared error (SSE) value between the es...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2020-11-01
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| Series: | Energy Reports |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2352484720300718 |
| _version_ | 1818643937336754176 |
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| author | Zhi Yuan Weiqing Wang Haiyun Wang Navid Razmjooy |
| author_facet | Zhi Yuan Weiqing Wang Haiyun Wang Navid Razmjooy |
| author_sort | Zhi Yuan |
| collection | DOAJ |
| description | This paper proposes a new methodology for the optimal selection of the parameters for proton exchange membrane fuel cell (PEMFC) models. The proposed method is to optimal parameter selection of the circuit-based model of the PEMFC model to minimize the sum of squared error (SSE) value between the estimated and the actual output voltage of the PEMFC stack. For minimizing the SSE, a newly developed model of the Sunflower Optimization Algorithm (DSFO) is proposed. Performance analysis is performed based on two practical models including NedSstack PS6 PEMFC and Horizon 500-W PEMFCs from the literature and the results have been compared with the empirical data and also some state of art methods including Seagull Optimization Algorithm (SOA), Multi-verse optimizer (MVO), and Shuffled Frog-Leaping Algorithm (SFLA). Final results indicate 2.18 and 0.014 SSE value for NedSstack PS6 PEMFC and Horizon 500-W open cathode PEMFC, respectively which are the minimum values compared with the other compared methods. |
| first_indexed | 2024-12-17T00:06:53Z |
| format | Article |
| id | doaj.art-627fb8b3a10540fd90a1455e5d65a54b |
| institution | Directory Open Access Journal |
| issn | 2352-4847 |
| language | English |
| last_indexed | 2024-12-17T00:06:53Z |
| publishDate | 2020-11-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Energy Reports |
| spelling | doaj.art-627fb8b3a10540fd90a1455e5d65a54b2022-12-21T22:10:55ZengElsevierEnergy Reports2352-48472020-11-016662671A new technique for optimal estimation of the circuit-based PEMFCs using developed Sunflower Optimization AlgorithmZhi Yuan0Weiqing Wang1Haiyun Wang2Navid Razmjooy3Engineering Research Center of Renewable Energy Power Generation and Grid-connected Control, Ministry of Education, Xinjiang University, Urumqi, Xinjiang, 830047, China; Corresponding author.Engineering Research Center of Renewable Energy Power Generation and Grid-connected Control, Ministry of Education, Xinjiang University, Urumqi, Xinjiang, 830047, ChinaEngineering Research Center of Renewable Energy Power Generation and Grid-connected Control, Ministry of Education, Xinjiang University, Urumqi, Xinjiang, 830047, ChinaDepartment of Engineering, Tafresh University, Tafresh, IranThis paper proposes a new methodology for the optimal selection of the parameters for proton exchange membrane fuel cell (PEMFC) models. The proposed method is to optimal parameter selection of the circuit-based model of the PEMFC model to minimize the sum of squared error (SSE) value between the estimated and the actual output voltage of the PEMFC stack. For minimizing the SSE, a newly developed model of the Sunflower Optimization Algorithm (DSFO) is proposed. Performance analysis is performed based on two practical models including NedSstack PS6 PEMFC and Horizon 500-W PEMFCs from the literature and the results have been compared with the empirical data and also some state of art methods including Seagull Optimization Algorithm (SOA), Multi-verse optimizer (MVO), and Shuffled Frog-Leaping Algorithm (SFLA). Final results indicate 2.18 and 0.014 SSE value for NedSstack PS6 PEMFC and Horizon 500-W open cathode PEMFC, respectively which are the minimum values compared with the other compared methods.http://www.sciencedirect.com/science/article/pii/S2352484720300718PEM fuel cellSunflower Optimization (BSFO) AlgorithmDevelopedCircuit-based modelHorizon open cathode PEMFCNedSstack PS6 PEMFC |
| spellingShingle | Zhi Yuan Weiqing Wang Haiyun Wang Navid Razmjooy A new technique for optimal estimation of the circuit-based PEMFCs using developed Sunflower Optimization Algorithm Energy Reports PEM fuel cell Sunflower Optimization (BSFO) Algorithm Developed Circuit-based model Horizon open cathode PEMFC NedSstack PS6 PEMFC |
| title | A new technique for optimal estimation of the circuit-based PEMFCs using developed Sunflower Optimization Algorithm |
| title_full | A new technique for optimal estimation of the circuit-based PEMFCs using developed Sunflower Optimization Algorithm |
| title_fullStr | A new technique for optimal estimation of the circuit-based PEMFCs using developed Sunflower Optimization Algorithm |
| title_full_unstemmed | A new technique for optimal estimation of the circuit-based PEMFCs using developed Sunflower Optimization Algorithm |
| title_short | A new technique for optimal estimation of the circuit-based PEMFCs using developed Sunflower Optimization Algorithm |
| title_sort | new technique for optimal estimation of the circuit based pemfcs using developed sunflower optimization algorithm |
| topic | PEM fuel cell Sunflower Optimization (BSFO) Algorithm Developed Circuit-based model Horizon open cathode PEMFC NedSstack PS6 PEMFC |
| url | http://www.sciencedirect.com/science/article/pii/S2352484720300718 |
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