A Hierarchical Energy Management Strategy for 4WD Plug-In Hybrid Electric Vehicles
In the field of new energy vehicles, 4WD PHEVs show strong energy-saving potential. A single energy management strategy, nevertheless, has difficulty achieving the energy-saving potential due to the complex, nonlinear energy system of the 4WD PHEV. To cope with it, a hierarchical energy management s...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2022-10-01
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| Series: | Machines |
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| Online Access: | https://www.mdpi.com/2075-1702/10/10/947 |
| _version_ | 1797471924647886848 |
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| author | Zhiqi Guo Jianhua Guo Liang Chu Chong Guo Jincheng Hu Zhuoran Hou |
| author_facet | Zhiqi Guo Jianhua Guo Liang Chu Chong Guo Jincheng Hu Zhuoran Hou |
| author_sort | Zhiqi Guo |
| collection | DOAJ |
| description | In the field of new energy vehicles, 4WD PHEVs show strong energy-saving potential. A single energy management strategy, nevertheless, has difficulty achieving the energy-saving potential due to the complex, nonlinear energy system of the 4WD PHEV. To cope with it, a hierarchical energy management strategy (H-EMS) for 4WD PHEVs is proposed in this paper to achieve energy management optimization. Firstly, the future speed information is predicted by the speed prediction method, and the upper energy management strategy adopts the model predictive control (MPC) based on the future speed information to carry out the power source distribution between the engine and the battery. Secondly, the lower energy management strategy performs the power component distribution of the front motor and the rear motor based on an equivalent consumption minimization strategy (ECMS). Finally, the simulation based on MATLAB/Simulink is performed, validating that the proposed method has more energy-saving capabilities, and the economy is improved by 11.87% compared with the rule-based (RB) energy management strategies. |
| first_indexed | 2024-03-09T19:54:59Z |
| format | Article |
| id | doaj.art-50a8d3b106784eaba2911a99bc686cf3 |
| institution | Directory Open Access Journal |
| issn | 2075-1702 |
| language | English |
| last_indexed | 2024-03-09T19:54:59Z |
| publishDate | 2022-10-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Machines |
| spelling | doaj.art-50a8d3b106784eaba2911a99bc686cf32023-11-24T01:00:03ZengMDPI AGMachines2075-17022022-10-01101094710.3390/machines10100947A Hierarchical Energy Management Strategy for 4WD Plug-In Hybrid Electric VehiclesZhiqi Guo0Jianhua Guo1Liang Chu2Chong Guo3Jincheng Hu4Zhuoran Hou5State Key Laboratory of Automotive Simulation and Control, Jilin University, No. 5988, Renmin Street, Nanguan District, Changchun 130022, ChinaState Key Laboratory of Automotive Simulation and Control, Jilin University, No. 5988, Renmin Street, Nanguan District, Changchun 130022, ChinaState Key Laboratory of Automotive Simulation and Control, Jilin University, No. 5988, Renmin Street, Nanguan District, Changchun 130022, ChinaState Key Laboratory of Automotive Simulation and Control, Jilin University, No. 5988, Renmin Street, Nanguan District, Changchun 130022, ChinaDepartment of Aeronautical and Automotive Engineering, Loughborough University, Leicestershire LE11 3TU, UKState Key Laboratory of Automotive Simulation and Control, Jilin University, No. 5988, Renmin Street, Nanguan District, Changchun 130022, ChinaIn the field of new energy vehicles, 4WD PHEVs show strong energy-saving potential. A single energy management strategy, nevertheless, has difficulty achieving the energy-saving potential due to the complex, nonlinear energy system of the 4WD PHEV. To cope with it, a hierarchical energy management strategy (H-EMS) for 4WD PHEVs is proposed in this paper to achieve energy management optimization. Firstly, the future speed information is predicted by the speed prediction method, and the upper energy management strategy adopts the model predictive control (MPC) based on the future speed information to carry out the power source distribution between the engine and the battery. Secondly, the lower energy management strategy performs the power component distribution of the front motor and the rear motor based on an equivalent consumption minimization strategy (ECMS). Finally, the simulation based on MATLAB/Simulink is performed, validating that the proposed method has more energy-saving capabilities, and the economy is improved by 11.87% compared with the rule-based (RB) energy management strategies.https://www.mdpi.com/2075-1702/10/10/947energy management strategy (EMS)rule-based (RB)equivalent consumption minimization strategy (ECMS)model predictive control (MPC)four-wheel-drive plug-in hybrid energy vehicle (4WD PHEV) |
| spellingShingle | Zhiqi Guo Jianhua Guo Liang Chu Chong Guo Jincheng Hu Zhuoran Hou A Hierarchical Energy Management Strategy for 4WD Plug-In Hybrid Electric Vehicles Machines energy management strategy (EMS) rule-based (RB) equivalent consumption minimization strategy (ECMS) model predictive control (MPC) four-wheel-drive plug-in hybrid energy vehicle (4WD PHEV) |
| title | A Hierarchical Energy Management Strategy for 4WD Plug-In Hybrid Electric Vehicles |
| title_full | A Hierarchical Energy Management Strategy for 4WD Plug-In Hybrid Electric Vehicles |
| title_fullStr | A Hierarchical Energy Management Strategy for 4WD Plug-In Hybrid Electric Vehicles |
| title_full_unstemmed | A Hierarchical Energy Management Strategy for 4WD Plug-In Hybrid Electric Vehicles |
| title_short | A Hierarchical Energy Management Strategy for 4WD Plug-In Hybrid Electric Vehicles |
| title_sort | hierarchical energy management strategy for 4wd plug in hybrid electric vehicles |
| topic | energy management strategy (EMS) rule-based (RB) equivalent consumption minimization strategy (ECMS) model predictive control (MPC) four-wheel-drive plug-in hybrid energy vehicle (4WD PHEV) |
| url | https://www.mdpi.com/2075-1702/10/10/947 |
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