A GM-Based Energy Management Strategy of Hybrid Power System for Hydrogen Fuel Cell Buses
Hydrogen energy is a clean, carbon-free, flexible, efficient, and widely used secondary energy source, which is an ideal alternative to promote the clean and efficient use of traditional fossil fuels. Hydrogen fuel cell bus has the advantages of a high-energy conversion rate, absolute pollution-free...
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| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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Wiley
2023-01-01
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| Series: | Journal of Advanced Transportation |
| Online Access: | http://dx.doi.org/10.1155/2023/6656612 |
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| _version_ | 1849685609930555392 |
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| author | Yuan Wang Jianshan Lu Xinyu Zhu Jianfeng Ye You Kong Weina Hao |
| author_facet | Yuan Wang Jianshan Lu Xinyu Zhu Jianfeng Ye You Kong Weina Hao |
| author_sort | Yuan Wang |
| collection | DOAJ |
| description | Hydrogen energy is a clean, carbon-free, flexible, efficient, and widely used secondary energy source, which is an ideal alternative to promote the clean and efficient use of traditional fossil fuels. Hydrogen fuel cell bus has the advantages of a high-energy conversion rate, absolute pollution-free, sufficient raw materials, and convenient filling. The hybrid power system, composed of fuel cell and auxiliary energy source, is one of the key technologies to promote the development of hydrogen fuel cell vehicle. This study aims to propose an energy management strategy by analyzing the output characteristics and power allocation of fuel cell and power battery in the hybrid power mode with fuel cell as the main and battery as the auxiliary. A GM (1, N) power prediction strategy was proposed and compared with other strategies as an on-off control strategy and logical threshold value strategy in this study. The variation curves of the battery SOC and fuel cell output power under two working conditions of CCBC and real vehicle conditions were analyzed by using these three strategies, when the initial SOC of power battery is 30%, 70%, and 90%, respectively. Results showed that the power prediction strategy based on GM (1, N) has a better performance in output efficiency and fuel economy when compared to the other two strategies by analyzing the aspects of the battery in the SOC variation and equivalent hydrogen consumption and the fuel cell in the output power variation and hydrogen consumption. This research can be helpful to provide the suggested solution for energy management of the hybrid power system for hydrogen fuel cell buses. |
| format | Article |
| id | doaj-art-c4f89d0d5f8d40ec9e615c5a12be0343 |
| institution | DOAJ |
| issn | 2042-3195 |
| language | English |
| publishDate | 2023-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Journal of Advanced Transportation |
| spelling | doaj-art-c4f89d0d5f8d40ec9e615c5a12be03432025-08-20T03:23:04ZengWileyJournal of Advanced Transportation2042-31952023-01-01202310.1155/2023/6656612A GM-Based Energy Management Strategy of Hybrid Power System for Hydrogen Fuel Cell BusesYuan Wang0Jianshan Lu1Xinyu Zhu2Jianfeng Ye3You Kong4Weina Hao5College of Mechanical EngineeringCollege of Mechanical EngineeringCollege of Mechanical EngineeringCollege of Mechanical EngineeringCollege of Transport and CommunicationCollege of Mechanical EngineeringHydrogen energy is a clean, carbon-free, flexible, efficient, and widely used secondary energy source, which is an ideal alternative to promote the clean and efficient use of traditional fossil fuels. Hydrogen fuel cell bus has the advantages of a high-energy conversion rate, absolute pollution-free, sufficient raw materials, and convenient filling. The hybrid power system, composed of fuel cell and auxiliary energy source, is one of the key technologies to promote the development of hydrogen fuel cell vehicle. This study aims to propose an energy management strategy by analyzing the output characteristics and power allocation of fuel cell and power battery in the hybrid power mode with fuel cell as the main and battery as the auxiliary. A GM (1, N) power prediction strategy was proposed and compared with other strategies as an on-off control strategy and logical threshold value strategy in this study. The variation curves of the battery SOC and fuel cell output power under two working conditions of CCBC and real vehicle conditions were analyzed by using these three strategies, when the initial SOC of power battery is 30%, 70%, and 90%, respectively. Results showed that the power prediction strategy based on GM (1, N) has a better performance in output efficiency and fuel economy when compared to the other two strategies by analyzing the aspects of the battery in the SOC variation and equivalent hydrogen consumption and the fuel cell in the output power variation and hydrogen consumption. This research can be helpful to provide the suggested solution for energy management of the hybrid power system for hydrogen fuel cell buses.http://dx.doi.org/10.1155/2023/6656612 |
| spellingShingle | Yuan Wang Jianshan Lu Xinyu Zhu Jianfeng Ye You Kong Weina Hao A GM-Based Energy Management Strategy of Hybrid Power System for Hydrogen Fuel Cell Buses Journal of Advanced Transportation |
| title | A GM-Based Energy Management Strategy of Hybrid Power System for Hydrogen Fuel Cell Buses |
| title_full | A GM-Based Energy Management Strategy of Hybrid Power System for Hydrogen Fuel Cell Buses |
| title_fullStr | A GM-Based Energy Management Strategy of Hybrid Power System for Hydrogen Fuel Cell Buses |
| title_full_unstemmed | A GM-Based Energy Management Strategy of Hybrid Power System for Hydrogen Fuel Cell Buses |
| title_short | A GM-Based Energy Management Strategy of Hybrid Power System for Hydrogen Fuel Cell Buses |
| title_sort | gm based energy management strategy of hybrid power system for hydrogen fuel cell buses |
| url | http://dx.doi.org/10.1155/2023/6656612 |
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