Research on energy-saving optimization strategies of high-power hydrogen fuel cell power systems
Temperature regulation stand and hydrogen consumption as pivotal benchmarks in the assessment of fuel cell vehicle performance. To enhance the thermal control efficiency and fuel economy of high-power fuel cell power systems, this study formulates a model for a high-power hydrogen fuel cell power sy...
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| Format: | Article |
| Language: | zho |
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EDP Sciences
2024-10-01
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| Series: | Xibei Gongye Daxue Xuebao |
| Subjects: | |
| Online Access: | https://www.jnwpu.org/articles/jnwpu/full_html/2024/05/jnwpu2024425p828/jnwpu2024425p828.html |
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| _version_ | 1846125749058142208 |
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| author | ZHU Dan WANG Han SHU Chen NING Shichao GUO Zhirui ZHAO Xuan |
| author_facet | ZHU Dan WANG Han SHU Chen NING Shichao GUO Zhirui ZHAO Xuan |
| author_sort | ZHU Dan |
| collection | DOAJ |
| description | Temperature regulation stand and hydrogen consumption as pivotal benchmarks in the assessment of fuel cell vehicle performance. To enhance the thermal control efficiency and fuel economy of high-power fuel cell power systems, this study formulates a model for a high-power hydrogen fuel cell power system. It meticulously scrutinizes the energy consumption of auxiliary components, notably cooling systems, and devises a power allocation strategy founded on fuzzy logic control, ensuring precise temperature control. Introducing a collaborative optimization control approach for heat and power, aimed at minimizing overall hydrogen consumption, constitutes a central aspect of this paper. Leveraging the parameters of a 115 kW fuel cell truck, the study conducts simulation analysis of control and optimization strategies utilizing the Matlab/Simulink platform. Results underscore the superiority of the collaborative optimization control strategy, demonstrating noteworthy 8.04% and 9.9% reduction in equivalent hydrogen consumption per 100 kilometers compared to the power following control strategy. These findings affirm the efficacy of the proposed strategy in optimizing energy consumption. |
| format | Article |
| id | doaj-art-31989b29460448bb9cb1c735a457dc1c |
| institution | Kabale University |
| issn | 1000-2758 2609-7125 |
| language | zho |
| publishDate | 2024-10-01 |
| publisher | EDP Sciences |
| record_format | Article |
| series | Xibei Gongye Daxue Xuebao |
| spelling | doaj-art-31989b29460448bb9cb1c735a457dc1c2024-12-13T10:05:05ZzhoEDP SciencesXibei Gongye Daxue Xuebao1000-27582609-71252024-10-0142582883710.1051/jnwpu/20244250828jnwpu2024425p828Research on energy-saving optimization strategies of high-power hydrogen fuel cell power systemsZHU Dan0WANG Han1SHU Chen2NING Shichao3GUO Zhirui4ZHAO Xuan5School of Automobile, Chang’an UniversitySchool of Automobile, Chang’an UniversitySchool of Automobile, Chang’an UniversitySchool of Automobile, Chang’an UniversitySchool of Automation, Northwestern Polytechnical UniversitySchool of Automobile, Chang’an UniversityTemperature regulation stand and hydrogen consumption as pivotal benchmarks in the assessment of fuel cell vehicle performance. To enhance the thermal control efficiency and fuel economy of high-power fuel cell power systems, this study formulates a model for a high-power hydrogen fuel cell power system. It meticulously scrutinizes the energy consumption of auxiliary components, notably cooling systems, and devises a power allocation strategy founded on fuzzy logic control, ensuring precise temperature control. Introducing a collaborative optimization control approach for heat and power, aimed at minimizing overall hydrogen consumption, constitutes a central aspect of this paper. Leveraging the parameters of a 115 kW fuel cell truck, the study conducts simulation analysis of control and optimization strategies utilizing the Matlab/Simulink platform. Results underscore the superiority of the collaborative optimization control strategy, demonstrating noteworthy 8.04% and 9.9% reduction in equivalent hydrogen consumption per 100 kilometers compared to the power following control strategy. These findings affirm the efficacy of the proposed strategy in optimizing energy consumption.https://www.jnwpu.org/articles/jnwpu/full_html/2024/05/jnwpu2024425p828/jnwpu2024425p828.html氢燃料电池动力系统节能优化协同控制模糊控制 |
| spellingShingle | ZHU Dan WANG Han SHU Chen NING Shichao GUO Zhirui ZHAO Xuan Research on energy-saving optimization strategies of high-power hydrogen fuel cell power systems Xibei Gongye Daxue Xuebao 氢燃料电池 动力系统 节能优化 协同控制 模糊控制 |
| title | Research on energy-saving optimization strategies of high-power hydrogen fuel cell power systems |
| title_full | Research on energy-saving optimization strategies of high-power hydrogen fuel cell power systems |
| title_fullStr | Research on energy-saving optimization strategies of high-power hydrogen fuel cell power systems |
| title_full_unstemmed | Research on energy-saving optimization strategies of high-power hydrogen fuel cell power systems |
| title_short | Research on energy-saving optimization strategies of high-power hydrogen fuel cell power systems |
| title_sort | research on energy saving optimization strategies of high power hydrogen fuel cell power systems |
| topic | 氢燃料电池 动力系统 节能优化 协同控制 模糊控制 |
| url | https://www.jnwpu.org/articles/jnwpu/full_html/2024/05/jnwpu2024425p828/jnwpu2024425p828.html |
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