A Vehicle-Environment Cooperative Control Based Velocity Profile Prediction Method and Case Study in Energy Management of Plug-in Hybrid Electric Vehicles
The vehicle-environment cooperative (VEC) control has shown a great potential to improve vehicle performance. Consequently, it is desirable to further investigate the incorporation of the VEC control. In this context, a novel method is proposed to predict the velocity profile; meanwhile, the potenti...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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IEEE
2019-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/8733853/ |
| _version_ | 1819179407559884800 |
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| author | Si Zhang Wenxue Dou Yuanjian Zhang Wanming Hao Zheng Chen Yonggang Liu |
| author_facet | Si Zhang Wenxue Dou Yuanjian Zhang Wanming Hao Zheng Chen Yonggang Liu |
| author_sort | Si Zhang |
| collection | DOAJ |
| description | The vehicle-environment cooperative (VEC) control has shown a great potential to improve vehicle performance. Consequently, it is desirable to further investigate the incorporation of the VEC control. In this context, a novel method is proposed to predict the velocity profile; meanwhile, the potential of the proposed method is exploited to improve energy management performance of plug-in hybrid electric vehicles (PHEVs). In particular, a specific VEC control framework is first introduced based on the mobile edge computation (MEC). On this basis, a compound velocity profile prediction (CVPP) algorithm is developed, which merges the cloud server (CS), MEC servers, and on-board vehicle control unit (VCU), and provides more accurate and reasonable prediction results. Finally, a case study is conducted that applies the proposed CVPP method to energy management of PHEVs. The simulation results manifest that the performance of the proposed energy management strategy (EMS) is dramatically improved after incorporating the forecasted velocity profile information given by the proposed CVPP method. |
| first_indexed | 2024-12-22T21:57:57Z |
| format | Article |
| id | doaj.art-cce698db4bf74471b9c02d1a79ed1a0c |
| institution | Directory Open Access Journal |
| issn | 2169-3536 |
| language | English |
| last_indexed | 2024-12-22T21:57:57Z |
| publishDate | 2019-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj.art-cce698db4bf74471b9c02d1a79ed1a0c2022-12-21T18:11:12ZengIEEEIEEE Access2169-35362019-01-017759657597510.1109/ACCESS.2019.29219498733853A Vehicle-Environment Cooperative Control Based Velocity Profile Prediction Method and Case Study in Energy Management of Plug-in Hybrid Electric VehiclesSi Zhang0Wenxue Dou1Yuanjian Zhang2https://orcid.org/0000-0001-5563-8480Wanming Hao3https://orcid.org/0000-0002-4465-3447Zheng Chen4https://orcid.org/0000-0002-1634-7231Yonggang Liu5https://orcid.org/0000-0001-5814-104XSchool of Mechanical Engineering, Jiangsu University of Science and Technology, Zhenjiang, ChinaSchool of Mechanical Engineering, Jiangsu University of Science and Technology, Zhenjiang, ChinaSchool of Mechanical and Aerospace Engineering, Queen’s University Belfast, Belfast, U.K.Faculty of Engineering and Physical Science, Institute for Communication Systems, University of Surrey, Guildford, U.K.Faculty of Transportation Engineering, Kunming University of Science and Technology, Kunming, ChinaState Key Laboratory of Mechanical Transmission, School of Automotive Engineering, Chongqing University, Chongqing, ChinaThe vehicle-environment cooperative (VEC) control has shown a great potential to improve vehicle performance. Consequently, it is desirable to further investigate the incorporation of the VEC control. In this context, a novel method is proposed to predict the velocity profile; meanwhile, the potential of the proposed method is exploited to improve energy management performance of plug-in hybrid electric vehicles (PHEVs). In particular, a specific VEC control framework is first introduced based on the mobile edge computation (MEC). On this basis, a compound velocity profile prediction (CVPP) algorithm is developed, which merges the cloud server (CS), MEC servers, and on-board vehicle control unit (VCU), and provides more accurate and reasonable prediction results. Finally, a case study is conducted that applies the proposed CVPP method to energy management of PHEVs. The simulation results manifest that the performance of the proposed energy management strategy (EMS) is dramatically improved after incorporating the forecasted velocity profile information given by the proposed CVPP method.https://ieeexplore.ieee.org/document/8733853/Vehicle-environment cooperative (VEC) controlmobile edge computation (MEC)velocity profile predictionenergy managementplug-in hybrid electric vehicles (PHEVs) |
| spellingShingle | Si Zhang Wenxue Dou Yuanjian Zhang Wanming Hao Zheng Chen Yonggang Liu A Vehicle-Environment Cooperative Control Based Velocity Profile Prediction Method and Case Study in Energy Management of Plug-in Hybrid Electric Vehicles IEEE Access Vehicle-environment cooperative (VEC) control mobile edge computation (MEC) velocity profile prediction energy management plug-in hybrid electric vehicles (PHEVs) |
| title | A Vehicle-Environment Cooperative Control Based Velocity Profile Prediction Method and Case Study in Energy Management of Plug-in Hybrid Electric Vehicles |
| title_full | A Vehicle-Environment Cooperative Control Based Velocity Profile Prediction Method and Case Study in Energy Management of Plug-in Hybrid Electric Vehicles |
| title_fullStr | A Vehicle-Environment Cooperative Control Based Velocity Profile Prediction Method and Case Study in Energy Management of Plug-in Hybrid Electric Vehicles |
| title_full_unstemmed | A Vehicle-Environment Cooperative Control Based Velocity Profile Prediction Method and Case Study in Energy Management of Plug-in Hybrid Electric Vehicles |
| title_short | A Vehicle-Environment Cooperative Control Based Velocity Profile Prediction Method and Case Study in Energy Management of Plug-in Hybrid Electric Vehicles |
| title_sort | vehicle environment cooperative control based velocity profile prediction method and case study in energy management of plug in hybrid electric vehicles |
| topic | Vehicle-environment cooperative (VEC) control mobile edge computation (MEC) velocity profile prediction energy management plug-in hybrid electric vehicles (PHEVs) |
| url | https://ieeexplore.ieee.org/document/8733853/ |
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