A real-time energy management strategy for fuel cell vehicle based on Pontryagin’s minimum principle
Summary: This paper proposes a Pontryagin’s minimum principle (PMP) energy management strategy (EMS) based on driving cycle recognition for fuel cell vehicle powertrains, aiming to minimize hydrogen consumption and fuel cell degradation. Firstly, the neural network-based driving cycle recognizer is...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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Elsevier
2024-04-01
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| Series: | iScience |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2589004224006941 |
| _version_ | 1797247745528954880 |
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| author | Rui Quan Haifeng Guo Xuerong Li Jian Zhang Yufang Chang |
| author_facet | Rui Quan Haifeng Guo Xuerong Li Jian Zhang Yufang Chang |
| author_sort | Rui Quan |
| collection | DOAJ |
| description | Summary: This paper proposes a Pontryagin’s minimum principle (PMP) energy management strategy (EMS) based on driving cycle recognition for fuel cell vehicle powertrains, aiming to minimize hydrogen consumption and fuel cell degradation. Firstly, the neural network-based driving cycle recognizer is optimized using the tuna swarm optimization (TSO) algorithm and trained under four typical driving cycles. Then, the optimal co-state variables for the four driving cycles are obtained by iteration. Finally, the co-state variables are dynamically updated based on real-time driving cycle recognition results. Comparative analysis demonstrates that the PMP-DCR effectively improves fuel cell lifetime and vehicle economy under short-distance driving cycles. Based on the combined driving cycle, the proposed PMP-DCR EMS exhibits similar economy performance to optimal dynamic programming (DP) EMS, reducing equivalent hydrogen consumption by 13.8% and 9.2%, and decreasing fuel cell degradation rates by 93% and 8.7% in comparison to the conventional power-following and PMP EMS, respectively. |
| first_indexed | 2024-04-24T20:03:35Z |
| format | Article |
| id | doaj.art-784e4b0630534c4ebe48c97e0bee076c |
| institution | Directory Open Access Journal |
| issn | 2589-0042 |
| language | English |
| last_indexed | 2024-04-24T20:03:35Z |
| publishDate | 2024-04-01 |
| publisher | Elsevier |
| record_format | Article |
| series | iScience |
| spelling | doaj.art-784e4b0630534c4ebe48c97e0bee076c2024-03-24T07:00:03ZengElsevieriScience2589-00422024-04-01274109473A real-time energy management strategy for fuel cell vehicle based on Pontryagin’s minimum principleRui Quan0Haifeng Guo1Xuerong Li2Jian Zhang3Yufang Chang4Hubei Key Laboratory for High-efficiency Utilization of Solar Energy and Operation Control of Energy Storage System, Hubei University of Technology, Wuhan 430068, China; Hubei Engineering Research Center for Safety Monitoring of New Energy and Power Grid Equipment, Hubei University of Technology, Wuhan 430068, ChinaHubei Key Laboratory for High-efficiency Utilization of Solar Energy and Operation Control of Energy Storage System, Hubei University of Technology, Wuhan 430068, China; Hubei Engineering Research Center for Safety Monitoring of New Energy and Power Grid Equipment, Hubei University of Technology, Wuhan 430068, China; Corresponding authorHubei Key Laboratory for High-efficiency Utilization of Solar Energy and Operation Control of Energy Storage System, Hubei University of Technology, Wuhan 430068, China; Hubei Engineering Research Center for Safety Monitoring of New Energy and Power Grid Equipment, Hubei University of Technology, Wuhan 430068, ChinaHubei Key Laboratory for High-efficiency Utilization of Solar Energy and Operation Control of Energy Storage System, Hubei University of Technology, Wuhan 430068, China; Hubei Engineering Research Center for Safety Monitoring of New Energy and Power Grid Equipment, Hubei University of Technology, Wuhan 430068, ChinaHubei Key Laboratory for High-efficiency Utilization of Solar Energy and Operation Control of Energy Storage System, Hubei University of Technology, Wuhan 430068, China; Hubei Engineering Research Center for Safety Monitoring of New Energy and Power Grid Equipment, Hubei University of Technology, Wuhan 430068, ChinaSummary: This paper proposes a Pontryagin’s minimum principle (PMP) energy management strategy (EMS) based on driving cycle recognition for fuel cell vehicle powertrains, aiming to minimize hydrogen consumption and fuel cell degradation. Firstly, the neural network-based driving cycle recognizer is optimized using the tuna swarm optimization (TSO) algorithm and trained under four typical driving cycles. Then, the optimal co-state variables for the four driving cycles are obtained by iteration. Finally, the co-state variables are dynamically updated based on real-time driving cycle recognition results. Comparative analysis demonstrates that the PMP-DCR effectively improves fuel cell lifetime and vehicle economy under short-distance driving cycles. Based on the combined driving cycle, the proposed PMP-DCR EMS exhibits similar economy performance to optimal dynamic programming (DP) EMS, reducing equivalent hydrogen consumption by 13.8% and 9.2%, and decreasing fuel cell degradation rates by 93% and 8.7% in comparison to the conventional power-following and PMP EMS, respectively.http://www.sciencedirect.com/science/article/pii/S2589004224006941Energy managementEnergy application |
| spellingShingle | Rui Quan Haifeng Guo Xuerong Li Jian Zhang Yufang Chang A real-time energy management strategy for fuel cell vehicle based on Pontryagin’s minimum principle iScience Energy management Energy application |
| title | A real-time energy management strategy for fuel cell vehicle based on Pontryagin’s minimum principle |
| title_full | A real-time energy management strategy for fuel cell vehicle based on Pontryagin’s minimum principle |
| title_fullStr | A real-time energy management strategy for fuel cell vehicle based on Pontryagin’s minimum principle |
| title_full_unstemmed | A real-time energy management strategy for fuel cell vehicle based on Pontryagin’s minimum principle |
| title_short | A real-time energy management strategy for fuel cell vehicle based on Pontryagin’s minimum principle |
| title_sort | real time energy management strategy for fuel cell vehicle based on pontryagin s minimum principle |
| topic | Energy management Energy application |
| url | http://www.sciencedirect.com/science/article/pii/S2589004224006941 |
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