Online identification of optimal efficiency of multi-stack fuel cells(MFCS)
With the development of fuel cells, the demand for high-power fuel cells has gradually increased, but the multi-stack fuel cell system(MFCS) has received wide attention due to the existing technical barriers. The optimal efficiency of the multi-stack fuel cell system is the target, and the power dis...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2022-07-01
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| Series: | Energy Reports |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2352484722002438 |
| _version_ | 1828149377761280000 |
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| author | YiFan Liang QianChao Liang JianFeng Zhao MengJie Li JinYi Hu Yang Chen |
| author_facet | YiFan Liang QianChao Liang JianFeng Zhao MengJie Li JinYi Hu Yang Chen |
| author_sort | YiFan Liang |
| collection | DOAJ |
| description | With the development of fuel cells, the demand for high-power fuel cells has gradually increased, but the multi-stack fuel cell system(MFCS) has received wide attention due to the existing technical barriers. The optimal efficiency of the multi-stack fuel cell system is the target, and the power distribution point of the multi-stack fuel cell is obtained by combining the KKT condition. Equipped with the recursive gradient correction method, the online identification of the optimal efficiency of the system is realized. The results are compared with the average distribution and Daisy-chain methods, and the online identification algorithm results in the highest optimal efficiency and the lowest hydrogen consumption. It was validated on two 1kW air-cooled fuel cell systems. |
| first_indexed | 2024-04-11T21:29:24Z |
| format | Article |
| id | doaj.art-530b6234def64d899675dde4e7254998 |
| institution | Directory Open Access Journal |
| issn | 2352-4847 |
| language | English |
| last_indexed | 2024-04-11T21:29:24Z |
| publishDate | 2022-07-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Energy Reports |
| spelling | doaj.art-530b6234def64d899675dde4e72549982022-12-22T04:02:15ZengElsevierEnergy Reports2352-48472022-07-018979989Online identification of optimal efficiency of multi-stack fuel cells(MFCS)YiFan Liang0QianChao Liang1JianFeng Zhao2MengJie Li3JinYi Hu4Yang Chen5Naval Engineering University, 717 Jiefang Avenue, Wuhan, 430000, ChinaCorresponding author.; Naval Engineering University, 717 Jiefang Avenue, Wuhan, 430000, ChinaNaval Engineering University, 717 Jiefang Avenue, Wuhan, 430000, ChinaNaval Engineering University, 717 Jiefang Avenue, Wuhan, 430000, ChinaNaval Engineering University, 717 Jiefang Avenue, Wuhan, 430000, ChinaNaval Engineering University, 717 Jiefang Avenue, Wuhan, 430000, ChinaWith the development of fuel cells, the demand for high-power fuel cells has gradually increased, but the multi-stack fuel cell system(MFCS) has received wide attention due to the existing technical barriers. The optimal efficiency of the multi-stack fuel cell system is the target, and the power distribution point of the multi-stack fuel cell is obtained by combining the KKT condition. Equipped with the recursive gradient correction method, the online identification of the optimal efficiency of the system is realized. The results are compared with the average distribution and Daisy-chain methods, and the online identification algorithm results in the highest optimal efficiency and the lowest hydrogen consumption. It was validated on two 1kW air-cooled fuel cell systems.http://www.sciencedirect.com/science/article/pii/S2352484722002438MFCSOnline identificationKKTGradient corrector |
| spellingShingle | YiFan Liang QianChao Liang JianFeng Zhao MengJie Li JinYi Hu Yang Chen Online identification of optimal efficiency of multi-stack fuel cells(MFCS) Energy Reports MFCS Online identification KKT Gradient corrector |
| title | Online identification of optimal efficiency of multi-stack fuel cells(MFCS) |
| title_full | Online identification of optimal efficiency of multi-stack fuel cells(MFCS) |
| title_fullStr | Online identification of optimal efficiency of multi-stack fuel cells(MFCS) |
| title_full_unstemmed | Online identification of optimal efficiency of multi-stack fuel cells(MFCS) |
| title_short | Online identification of optimal efficiency of multi-stack fuel cells(MFCS) |
| title_sort | online identification of optimal efficiency of multi stack fuel cells mfcs |
| topic | MFCS Online identification KKT Gradient corrector |
| url | http://www.sciencedirect.com/science/article/pii/S2352484722002438 |
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