Cloud Model-Based Energy Management Strategy for Parallel Hybrid Vehicles
Using the uncertain conversion capacity between the expressions of quantitative and qualitative concept in the cloud model, an energy management strategy based on cloud model is developed for parallel hybrid vehicles (PHVs). By the driver input and the state of charge (SOC) of the energy storage, a...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2015-01-01
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| Series: | Journal of Control Science and Engineering |
| Online Access: | http://dx.doi.org/10.1155/2015/141654 |
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| _version_ | 1832553397820063744 |
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| author | Xiaolan Wu Guifang Guo Zhifeng Bai |
| author_facet | Xiaolan Wu Guifang Guo Zhifeng Bai |
| author_sort | Xiaolan Wu |
| collection | DOAJ |
| description | Using the uncertain conversion capacity between the expressions of quantitative and qualitative concept in the cloud model, an energy management strategy based on cloud model is developed for parallel hybrid vehicles (PHVs). By the driver input and the state of charge (SOC) of the energy storage, a set of rules are developed to effectively determine the torque split between the internal combustion engine (ICE) and the electric motor. An analysis of the simulation results is conducted using ADVISOR in order to verify the effectiveness of the proposed control strategy. It is confirmed that the control scheme can be used to improve fuel economy and emission of the hybrid vehicles. |
| format | Article |
| id | doaj-art-610824a1aa3741d2b8c97d581954b209 |
| institution | Kabale University |
| issn | 1687-5249 1687-5257 |
| language | English |
| publishDate | 2015-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Journal of Control Science and Engineering |
| spelling | doaj-art-610824a1aa3741d2b8c97d581954b2092025-02-03T05:54:00ZengWileyJournal of Control Science and Engineering1687-52491687-52572015-01-01201510.1155/2015/141654141654Cloud Model-Based Energy Management Strategy for Parallel Hybrid VehiclesXiaolan Wu0Guifang Guo1Zhifeng Bai2School of Mechanical and Electrical Engineering, Xi’an University of Architecture and Technology, Xi’an, Shaanxi 710055, ChinaSchool of Information Engineering, Tibet University for Nationalities, Xi’an, Shaanxi 710055, ChinaSchool of Mechanical and Electrical Engineering, Xi’an University of Architecture and Technology, Xi’an, Shaanxi 710055, ChinaUsing the uncertain conversion capacity between the expressions of quantitative and qualitative concept in the cloud model, an energy management strategy based on cloud model is developed for parallel hybrid vehicles (PHVs). By the driver input and the state of charge (SOC) of the energy storage, a set of rules are developed to effectively determine the torque split between the internal combustion engine (ICE) and the electric motor. An analysis of the simulation results is conducted using ADVISOR in order to verify the effectiveness of the proposed control strategy. It is confirmed that the control scheme can be used to improve fuel economy and emission of the hybrid vehicles.http://dx.doi.org/10.1155/2015/141654 |
| spellingShingle | Xiaolan Wu Guifang Guo Zhifeng Bai Cloud Model-Based Energy Management Strategy for Parallel Hybrid Vehicles Journal of Control Science and Engineering |
| title | Cloud Model-Based Energy Management Strategy for Parallel Hybrid Vehicles |
| title_full | Cloud Model-Based Energy Management Strategy for Parallel Hybrid Vehicles |
| title_fullStr | Cloud Model-Based Energy Management Strategy for Parallel Hybrid Vehicles |
| title_full_unstemmed | Cloud Model-Based Energy Management Strategy for Parallel Hybrid Vehicles |
| title_short | Cloud Model-Based Energy Management Strategy for Parallel Hybrid Vehicles |
| title_sort | cloud model based energy management strategy for parallel hybrid vehicles |
| url | http://dx.doi.org/10.1155/2015/141654 |
| work_keys_str_mv | AT xiaolanwu cloudmodelbasedenergymanagementstrategyforparallelhybridvehicles AT guifangguo cloudmodelbasedenergymanagementstrategyforparallelhybridvehicles AT zhifengbai cloudmodelbasedenergymanagementstrategyforparallelhybridvehicles |