Optimization Analysis of the Energy Management Strategy of the New Energy Hybrid 100% Low-Floor Tramcar Using a Genetic Algorithm
Performance and economic efficiency of the fuel cell (FC)/battery/super capacitor (SC) hybrid 100% low-floor tramcar is mainly determined by its energy management strategy. In this paper, a train traction model was built to calculate the power output and energy consumption properties of the hybrid t...
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| Format: | Article |
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MDPI AG
2018-07-01
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| Series: | Applied Sciences |
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| Online Access: | http://www.mdpi.com/2076-3417/8/7/1144 |
| _version_ | 1818296338334351360 |
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| author | Minggao Li Ming Li Guopeng Han Nan Liu Qiumin Zhang Yiou Wang |
| author_facet | Minggao Li Ming Li Guopeng Han Nan Liu Qiumin Zhang Yiou Wang |
| author_sort | Minggao Li |
| collection | DOAJ |
| description | Performance and economic efficiency of the fuel cell (FC)/battery/super capacitor (SC) hybrid 100% low-floor tramcar is mainly determined by its energy management strategy. In this paper, a train traction model was built to calculate the power output and energy consumption properties of the hybrid tramcar. With the purpose of reducing hydrogen consumption, the genetic algorithm was adopted to optimize the original energy management strategy. The results before and after the optimization show that the power requirement of the tramcar can be satisfied in both situations with the fuel cell (FC) module non-stopped. The maximum output power of the FC is reduced from 170 kW to 101.21 kW. As for the SC, a two-parallel connection module is used instead of the three-parallel one, and the power range changes from −125~250 kW to −67~153 kW. Under the original energy management strategy, the battery cannot be used efficiently with less exporting and absorbent power. Its utilization ratio is improved greatly after optimization. In sum, the equivalent total hydrogen consumption is reduced from 3.3469 kg to 2.8354 kg, dropping by more than 15%. |
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| institution | Directory Open Access Journal |
| issn | 2076-3417 |
| language | English |
| last_indexed | 2024-12-13T04:01:57Z |
| publishDate | 2018-07-01 |
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| spelling | doaj.art-c5bd7de5d87d426d9b4731f8caa0d6a12022-12-22T00:00:25ZengMDPI AGApplied Sciences2076-34172018-07-0187114410.3390/app8071144app8071144Optimization Analysis of the Energy Management Strategy of the New Energy Hybrid 100% Low-Floor Tramcar Using a Genetic AlgorithmMinggao Li0Ming Li1Guopeng Han2Nan Liu3Qiumin Zhang4Yiou Wang5CRRC Institute, Beijing 100070, ChinaCRRC Tangshan Co., Ltd., Tangshan 064000, ChinaCRRC Tangshan Co., Ltd., Tangshan 064000, ChinaCRRC Tangshan Co., Ltd., Tangshan 064000, ChinaCRRC Tangshan Co., Ltd., Tangshan 064000, ChinaCRRC Institute, Beijing 100070, ChinaPerformance and economic efficiency of the fuel cell (FC)/battery/super capacitor (SC) hybrid 100% low-floor tramcar is mainly determined by its energy management strategy. In this paper, a train traction model was built to calculate the power output and energy consumption properties of the hybrid tramcar. With the purpose of reducing hydrogen consumption, the genetic algorithm was adopted to optimize the original energy management strategy. The results before and after the optimization show that the power requirement of the tramcar can be satisfied in both situations with the fuel cell (FC) module non-stopped. The maximum output power of the FC is reduced from 170 kW to 101.21 kW. As for the SC, a two-parallel connection module is used instead of the three-parallel one, and the power range changes from −125~250 kW to −67~153 kW. Under the original energy management strategy, the battery cannot be used efficiently with less exporting and absorbent power. Its utilization ratio is improved greatly after optimization. In sum, the equivalent total hydrogen consumption is reduced from 3.3469 kg to 2.8354 kg, dropping by more than 15%.http://www.mdpi.com/2076-3417/8/7/1144fuel cellhybridtramcarenergy management strategygenetic algorithm |
| spellingShingle | Minggao Li Ming Li Guopeng Han Nan Liu Qiumin Zhang Yiou Wang Optimization Analysis of the Energy Management Strategy of the New Energy Hybrid 100% Low-Floor Tramcar Using a Genetic Algorithm Applied Sciences fuel cell hybrid tramcar energy management strategy genetic algorithm |
| title | Optimization Analysis of the Energy Management Strategy of the New Energy Hybrid 100% Low-Floor Tramcar Using a Genetic Algorithm |
| title_full | Optimization Analysis of the Energy Management Strategy of the New Energy Hybrid 100% Low-Floor Tramcar Using a Genetic Algorithm |
| title_fullStr | Optimization Analysis of the Energy Management Strategy of the New Energy Hybrid 100% Low-Floor Tramcar Using a Genetic Algorithm |
| title_full_unstemmed | Optimization Analysis of the Energy Management Strategy of the New Energy Hybrid 100% Low-Floor Tramcar Using a Genetic Algorithm |
| title_short | Optimization Analysis of the Energy Management Strategy of the New Energy Hybrid 100% Low-Floor Tramcar Using a Genetic Algorithm |
| title_sort | optimization analysis of the energy management strategy of the new energy hybrid 100 low floor tramcar using a genetic algorithm |
| topic | fuel cell hybrid tramcar energy management strategy genetic algorithm |
| url | http://www.mdpi.com/2076-3417/8/7/1144 |
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