Energy Management Strategy for Hybrid Electric Vehicles Based on Adaptive Equivalent Ratio-Model Predictive Control
The research and development of hybrid electric vehicles has become a significant goal for large automotive manufacturers. The hybrid electric vehicle integrates a conventional engine and one or more electric motors powered by a battery, offering better fuel economy and lowering exhaust emissions. T...
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| Format: | Article |
| Language: | English |
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MDPI AG
2024-12-01
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| Series: | Electricity |
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| Online Access: | https://www.mdpi.com/2673-4826/5/4/49 |
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| author | Farah Mahdi Ali Nizar Hadi Abbas |
| author_facet | Farah Mahdi Ali Nizar Hadi Abbas |
| author_sort | Farah Mahdi Ali |
| collection | DOAJ |
| description | The research and development of hybrid electric vehicles has become a significant goal for large automotive manufacturers. The hybrid electric vehicle integrates a conventional engine and one or more electric motors powered by a battery, offering better fuel economy and lowering exhaust emissions. This paper develops an optimal energy management algorithm based on Model Predictive Control that can produce optimal control parameters for power distribution between the battery unit and generator. The energy management strategy adapts this optimal power distribution by adjusting the objective function equivalent parameter of the controller according to changes in driving conditions. Dynamic programming is utilized offline to find the reference state of charge of the battery and used as the reference trajectory of our proposed strategy. Simulation results using different driving cycles show that the proposed method has better power distribution compared with two other strategies. The final state of charge reached a higher level, and the energy-saving percentage rose compared to the conventional algorithm. |
| format | Article |
| id | doaj-art-ef7e1a1ca52e493190ccd9f1f8d2efbf |
| institution | Kabale University |
| issn | 2673-4826 |
| language | English |
| publishDate | 2024-12-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Electricity |
| spelling | doaj-art-ef7e1a1ca52e493190ccd9f1f8d2efbf2024-12-27T14:22:52ZengMDPI AGElectricity2673-48262024-12-015497299010.3390/electricity5040049Energy Management Strategy for Hybrid Electric Vehicles Based on Adaptive Equivalent Ratio-Model Predictive ControlFarah Mahdi Ali0Nizar Hadi Abbas1Department of Electrical Engineering, University of Baghdad, Baghdad 10071, IraqDepartment of Electrical Engineering, University of Baghdad, Baghdad 10071, IraqThe research and development of hybrid electric vehicles has become a significant goal for large automotive manufacturers. The hybrid electric vehicle integrates a conventional engine and one or more electric motors powered by a battery, offering better fuel economy and lowering exhaust emissions. This paper develops an optimal energy management algorithm based on Model Predictive Control that can produce optimal control parameters for power distribution between the battery unit and generator. The energy management strategy adapts this optimal power distribution by adjusting the objective function equivalent parameter of the controller according to changes in driving conditions. Dynamic programming is utilized offline to find the reference state of charge of the battery and used as the reference trajectory of our proposed strategy. Simulation results using different driving cycles show that the proposed method has better power distribution compared with two other strategies. The final state of charge reached a higher level, and the energy-saving percentage rose compared to the conventional algorithm.https://www.mdpi.com/2673-4826/5/4/49hybrid electric vehiclevehicle dynamicsenergy management strategymodel predictive control |
| spellingShingle | Farah Mahdi Ali Nizar Hadi Abbas Energy Management Strategy for Hybrid Electric Vehicles Based on Adaptive Equivalent Ratio-Model Predictive Control Electricity hybrid electric vehicle vehicle dynamics energy management strategy model predictive control |
| title | Energy Management Strategy for Hybrid Electric Vehicles Based on Adaptive Equivalent Ratio-Model Predictive Control |
| title_full | Energy Management Strategy for Hybrid Electric Vehicles Based on Adaptive Equivalent Ratio-Model Predictive Control |
| title_fullStr | Energy Management Strategy for Hybrid Electric Vehicles Based on Adaptive Equivalent Ratio-Model Predictive Control |
| title_full_unstemmed | Energy Management Strategy for Hybrid Electric Vehicles Based on Adaptive Equivalent Ratio-Model Predictive Control |
| title_short | Energy Management Strategy for Hybrid Electric Vehicles Based on Adaptive Equivalent Ratio-Model Predictive Control |
| title_sort | energy management strategy for hybrid electric vehicles based on adaptive equivalent ratio model predictive control |
| topic | hybrid electric vehicle vehicle dynamics energy management strategy model predictive control |
| url | https://www.mdpi.com/2673-4826/5/4/49 |
| work_keys_str_mv | AT farahmahdiali energymanagementstrategyforhybridelectricvehiclesbasedonadaptiveequivalentratiomodelpredictivecontrol AT nizarhadiabbas energymanagementstrategyforhybridelectricvehiclesbasedonadaptiveequivalentratiomodelpredictivecontrol |