Real-Time Control Strategy of Elman Neural Network for the Parallel Hybrid Electric Vehicle
Through researching the instantaneous control strategy and Elman neural network, the paper established equivalent fuel consumption functions under the charging and discharging conditions of power batteries, deduced the optimal control objective function of instantaneous equivalent consumption, estab...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2014-01-01
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| Series: | Journal of Applied Mathematics |
| Online Access: | http://dx.doi.org/10.1155/2014/596326 |
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| _version_ | 1832567232385777664 |
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| author | Ruijun Liu Dapai Shi Chao Ma |
| author_facet | Ruijun Liu Dapai Shi Chao Ma |
| author_sort | Ruijun Liu |
| collection | DOAJ |
| description | Through researching the instantaneous control strategy and Elman neural network, the paper established equivalent fuel consumption functions under the charging and discharging conditions of power batteries, deduced the optimal control objective function of instantaneous equivalent consumption, established the instantaneous optimal control model, and designs the Elman neural network controller. Based on the ADVISOR 2002 platform, the instantaneous optimal control strategy and the Elman neural network control strategy were simulated on a parallel HEV. The simulation results were analyzed in the end. The contribution of the paper is that the trained Elman neural network control strategy can reduce the simulation time by 96% and improve the real-time performance of energy control, which also ensures the good performance of power and fuel economy. |
| format | Article |
| id | doaj-art-621115b30993491d8d9f9b61a35b1318 |
| institution | Kabale University |
| issn | 1110-757X 1687-0042 |
| language | English |
| publishDate | 2014-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Journal of Applied Mathematics |
| spelling | doaj-art-621115b30993491d8d9f9b61a35b13182025-02-03T01:02:00ZengWileyJournal of Applied Mathematics1110-757X1687-00422014-01-01201410.1155/2014/596326596326Real-Time Control Strategy of Elman Neural Network for the Parallel Hybrid Electric VehicleRuijun Liu0Dapai Shi1Chao Ma2School of Transportation and Vehicle Engineering, Shandong University of Technology, No. 12 Zhangzhou Road, Zibo, Shandong 255049, ChinaSchool of Transportation and Vehicle Engineering, Shandong University of Technology, No. 12 Zhangzhou Road, Zibo, Shandong 255049, ChinaSchool of Transportation and Vehicle Engineering, Shandong University of Technology, No. 12 Zhangzhou Road, Zibo, Shandong 255049, ChinaThrough researching the instantaneous control strategy and Elman neural network, the paper established equivalent fuel consumption functions under the charging and discharging conditions of power batteries, deduced the optimal control objective function of instantaneous equivalent consumption, established the instantaneous optimal control model, and designs the Elman neural network controller. Based on the ADVISOR 2002 platform, the instantaneous optimal control strategy and the Elman neural network control strategy were simulated on a parallel HEV. The simulation results were analyzed in the end. The contribution of the paper is that the trained Elman neural network control strategy can reduce the simulation time by 96% and improve the real-time performance of energy control, which also ensures the good performance of power and fuel economy.http://dx.doi.org/10.1155/2014/596326 |
| spellingShingle | Ruijun Liu Dapai Shi Chao Ma Real-Time Control Strategy of Elman Neural Network for the Parallel Hybrid Electric Vehicle Journal of Applied Mathematics |
| title | Real-Time Control Strategy of Elman Neural Network for the Parallel Hybrid Electric Vehicle |
| title_full | Real-Time Control Strategy of Elman Neural Network for the Parallel Hybrid Electric Vehicle |
| title_fullStr | Real-Time Control Strategy of Elman Neural Network for the Parallel Hybrid Electric Vehicle |
| title_full_unstemmed | Real-Time Control Strategy of Elman Neural Network for the Parallel Hybrid Electric Vehicle |
| title_short | Real-Time Control Strategy of Elman Neural Network for the Parallel Hybrid Electric Vehicle |
| title_sort | real time control strategy of elman neural network for the parallel hybrid electric vehicle |
| url | http://dx.doi.org/10.1155/2014/596326 |
| work_keys_str_mv | AT ruijunliu realtimecontrolstrategyofelmanneuralnetworkfortheparallelhybridelectricvehicle AT dapaishi realtimecontrolstrategyofelmanneuralnetworkfortheparallelhybridelectricvehicle AT chaoma realtimecontrolstrategyofelmanneuralnetworkfortheparallelhybridelectricvehicle |