Optimization of Energy Management Strategy for Plug-in Axle-split Hybrid Electric Vehicle
In order to improve the energy consumption economy of a plug-in axle-split hybrid electric vehicle （PHEV），a rule-based energy management strategy is established，and the corrected power factor and speed limits value for engine startup are introduced. The key parameters of the corrected power factor o...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | zho |
| Published: |
Editorial Office of Journal of Mechanical Transmission
2020-07-01
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| Series: | Jixie chuandong |
| Subjects: | |
| Online Access: | http://www.jxcd.net.cn/thesisDetails#10.16578/j.issn.1004.2539.2020.07.004 |
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| Summary: | In order to improve the energy consumption economy of a plug-in axle-split hybrid electric vehicle （PHEV），a rule-based energy management strategy is established，and the corrected power factor and speed limits value for engine startup are introduced. The key parameters of the corrected power factor of engine，start-up speed and energy management strategy control rules are optimized offline by using particle swarm optimization （PSO）. On the AMESim-Simulink co-simulaton platform，the optimization model is established and simulated. The results indicate that compared with the non-optimized energy management strategy，the energy consumption economy of the optimized control strategy has been significantly improved，and the overall energy consumption of the vehicle has been reduced by 12.6%. |
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| ISSN: | 1004-2539 |