Research on state machine control optimization of double-stack fuel cell/super capacitor hybrid system.
To ensure the continuous high-efficiency operation of fuel cell systems, it is essential to perform real-time estimation of the maximum efficiency point and maximum power point for multi-stack fuel cell systems. The region between these two power points is commonly referred to as the "high-effi...
Saved in:
| Main Authors: | , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Public Library of Science (PLoS)
2024-01-01
|
| Series: | PLoS ONE |
| Online Access: | https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0305332&type=printable |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1850138644176699392 |
|---|---|
| author | Mengjie Li Qianchao Liang Jianfeng Zhao Yongbao Liu Yan Qin |
| author_facet | Mengjie Li Qianchao Liang Jianfeng Zhao Yongbao Liu Yan Qin |
| author_sort | Mengjie Li |
| collection | DOAJ |
| description | To ensure the continuous high-efficiency operation of fuel cell systems, it is essential to perform real-time estimation of the maximum efficiency point and maximum power point for multi-stack fuel cell systems. The region between these two power points is commonly referred to as the "high-efficiency operating region." Initially, a transformation of the general expression for hydrogen consumption in multi-stack fuel cell systems is conducted to obtain an algebraic expression for the efficiency curve of multi-stack fuel cells. Utilizing a polynomial differentiation approach, the parameter equation for the maximum system efficiency is computed. Subsequently, a reverse deduction is carried out using the maximum efficiency and its corresponding power of underperforming subsystems to enhance the maximum efficiency of multi-stack fuel cell systems.Furthermore, an equivalent hydrogen consumption minimization method is introduced for real-time optimization of hybrid energy systems. The state machine control method serves as an auxiliary strategy, imposing the high-efficiency operating region as a boundary constraint for the equivalent hydrogen consumption minimization strategy's results. This ensures that the multi-stack fuel cell system operates as much as possible within the high-efficiency operating region.Through simulation validation using MATLAB/Simulink, the proposed approach comprehensively leverages the advantages of the state machine and equivalent hydrogen consumption. This approach enables effective identification of the high-efficiency operating region of fuel cells, while concurrently enhancing the operational range efficiency of the system, reducing hydrogen consumption, and elevating system stability. |
| format | Article |
| id | doaj-art-4e4e796c62b74b5980fdc4dd4ea38f55 |
| institution | OA Journals |
| issn | 1932-6203 |
| language | English |
| publishDate | 2024-01-01 |
| publisher | Public Library of Science (PLoS) |
| record_format | Article |
| series | PLoS ONE |
| spelling | doaj-art-4e4e796c62b74b5980fdc4dd4ea38f552025-08-20T02:30:32ZengPublic Library of Science (PLoS)PLoS ONE1932-62032024-01-011911e030533210.1371/journal.pone.0305332Research on state machine control optimization of double-stack fuel cell/super capacitor hybrid system.Mengjie LiQianchao LiangJianfeng ZhaoYongbao LiuYan QinTo ensure the continuous high-efficiency operation of fuel cell systems, it is essential to perform real-time estimation of the maximum efficiency point and maximum power point for multi-stack fuel cell systems. The region between these two power points is commonly referred to as the "high-efficiency operating region." Initially, a transformation of the general expression for hydrogen consumption in multi-stack fuel cell systems is conducted to obtain an algebraic expression for the efficiency curve of multi-stack fuel cells. Utilizing a polynomial differentiation approach, the parameter equation for the maximum system efficiency is computed. Subsequently, a reverse deduction is carried out using the maximum efficiency and its corresponding power of underperforming subsystems to enhance the maximum efficiency of multi-stack fuel cell systems.Furthermore, an equivalent hydrogen consumption minimization method is introduced for real-time optimization of hybrid energy systems. The state machine control method serves as an auxiliary strategy, imposing the high-efficiency operating region as a boundary constraint for the equivalent hydrogen consumption minimization strategy's results. This ensures that the multi-stack fuel cell system operates as much as possible within the high-efficiency operating region.Through simulation validation using MATLAB/Simulink, the proposed approach comprehensively leverages the advantages of the state machine and equivalent hydrogen consumption. This approach enables effective identification of the high-efficiency operating region of fuel cells, while concurrently enhancing the operational range efficiency of the system, reducing hydrogen consumption, and elevating system stability.https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0305332&type=printable |
| spellingShingle | Mengjie Li Qianchao Liang Jianfeng Zhao Yongbao Liu Yan Qin Research on state machine control optimization of double-stack fuel cell/super capacitor hybrid system. PLoS ONE |
| title | Research on state machine control optimization of double-stack fuel cell/super capacitor hybrid system. |
| title_full | Research on state machine control optimization of double-stack fuel cell/super capacitor hybrid system. |
| title_fullStr | Research on state machine control optimization of double-stack fuel cell/super capacitor hybrid system. |
| title_full_unstemmed | Research on state machine control optimization of double-stack fuel cell/super capacitor hybrid system. |
| title_short | Research on state machine control optimization of double-stack fuel cell/super capacitor hybrid system. |
| title_sort | research on state machine control optimization of double stack fuel cell super capacitor hybrid system |
| url | https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0305332&type=printable |
| work_keys_str_mv | AT mengjieli researchonstatemachinecontroloptimizationofdoublestackfuelcellsupercapacitorhybridsystem AT qianchaoliang researchonstatemachinecontroloptimizationofdoublestackfuelcellsupercapacitorhybridsystem AT jianfengzhao researchonstatemachinecontroloptimizationofdoublestackfuelcellsupercapacitorhybridsystem AT yongbaoliu researchonstatemachinecontroloptimizationofdoublestackfuelcellsupercapacitorhybridsystem AT yanqin researchonstatemachinecontroloptimizationofdoublestackfuelcellsupercapacitorhybridsystem |