Sizing of a Plug-In Hybrid Electric Vehicle with the Hybrid Energy Storage System
For plug-in hybrid electric vehicle (PHEV), using a hybrid energy storage system (HESS) instead of a single battery system can prolong the battery life and reduce the vehicle cost. To develop a PHEV with HESS, it is a key link to obtain the optimal size of the power supply and energy system that can...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2022-06-01
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| Series: | World Electric Vehicle Journal |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2032-6653/13/7/110 |
| _version_ | 1797414829452951552 |
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| author | Jian Tu Zhifeng Bai Xiaolan Wu |
| author_facet | Jian Tu Zhifeng Bai Xiaolan Wu |
| author_sort | Jian Tu |
| collection | DOAJ |
| description | For plug-in hybrid electric vehicle (PHEV), using a hybrid energy storage system (HESS) instead of a single battery system can prolong the battery life and reduce the vehicle cost. To develop a PHEV with HESS, it is a key link to obtain the optimal size of the power supply and energy system that can meet the load requirements of a driving cycle. Since little effort has been dedicated to simultaneously performing the component sizing of PHEV and HESS, this paper proposes an approach based on the particle swarm optimization (PSO) algorithm to simultaneously determine the sizes of the engine, motor, battery and supercapacitor (SC) in a PHEV with HESS. The drivetrain cost is minimized in a different all-electric range (AER)—and depends on the battery type—while ensuring the driving performance requirements. In addition, the effects of the power system and drive cycle on the component sizes were analyzed and compared. The simulation results show that the cost of the PHEV drivetrain with the Ni-MH battery/SC HESS is reduced by up to 12.21% when compared to the drivetrain with the Li-ion battery/SC HESS. The drivetrain cost is reduced by 8.79% when compared to analysis-based optimization. The type of power supply system and drive cycle can significantly affect the optimization results. |
| first_indexed | 2024-03-09T05:39:39Z |
| format | Article |
| id | doaj.art-f15318aaa00b42088a8211fa73273d5d |
| institution | Directory Open Access Journal |
| issn | 2032-6653 |
| language | English |
| last_indexed | 2024-03-09T05:39:39Z |
| publishDate | 2022-06-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | World Electric Vehicle Journal |
| spelling | doaj.art-f15318aaa00b42088a8211fa73273d5d2023-12-03T12:26:49ZengMDPI AGWorld Electric Vehicle Journal2032-66532022-06-0113711010.3390/wevj13070110Sizing of a Plug-In Hybrid Electric Vehicle with the Hybrid Energy Storage SystemJian Tu0Zhifeng Bai1Xiaolan Wu2Electromechanic Engineering Institute, Xi’an University of Architecture and Technology, Xi’an 710311, ChinaElectromechanic Engineering Institute, Xi’an University of Architecture and Technology, Xi’an 710311, ChinaElectromechanic Engineering Institute, Xi’an University of Architecture and Technology, Xi’an 710311, ChinaFor plug-in hybrid electric vehicle (PHEV), using a hybrid energy storage system (HESS) instead of a single battery system can prolong the battery life and reduce the vehicle cost. To develop a PHEV with HESS, it is a key link to obtain the optimal size of the power supply and energy system that can meet the load requirements of a driving cycle. Since little effort has been dedicated to simultaneously performing the component sizing of PHEV and HESS, this paper proposes an approach based on the particle swarm optimization (PSO) algorithm to simultaneously determine the sizes of the engine, motor, battery and supercapacitor (SC) in a PHEV with HESS. The drivetrain cost is minimized in a different all-electric range (AER)—and depends on the battery type—while ensuring the driving performance requirements. In addition, the effects of the power system and drive cycle on the component sizes were analyzed and compared. The simulation results show that the cost of the PHEV drivetrain with the Ni-MH battery/SC HESS is reduced by up to 12.21% when compared to the drivetrain with the Li-ion battery/SC HESS. The drivetrain cost is reduced by 8.79% when compared to analysis-based optimization. The type of power supply system and drive cycle can significantly affect the optimization results.https://www.mdpi.com/2032-6653/13/7/110plug-in hybrid electric vehiclehybrid energy storage systemparticle swarm optimizationcomponent sizingall electric rangecost |
| spellingShingle | Jian Tu Zhifeng Bai Xiaolan Wu Sizing of a Plug-In Hybrid Electric Vehicle with the Hybrid Energy Storage System World Electric Vehicle Journal plug-in hybrid electric vehicle hybrid energy storage system particle swarm optimization component sizing all electric range cost |
| title | Sizing of a Plug-In Hybrid Electric Vehicle with the Hybrid Energy Storage System |
| title_full | Sizing of a Plug-In Hybrid Electric Vehicle with the Hybrid Energy Storage System |
| title_fullStr | Sizing of a Plug-In Hybrid Electric Vehicle with the Hybrid Energy Storage System |
| title_full_unstemmed | Sizing of a Plug-In Hybrid Electric Vehicle with the Hybrid Energy Storage System |
| title_short | Sizing of a Plug-In Hybrid Electric Vehicle with the Hybrid Energy Storage System |
| title_sort | sizing of a plug in hybrid electric vehicle with the hybrid energy storage system |
| topic | plug-in hybrid electric vehicle hybrid energy storage system particle swarm optimization component sizing all electric range cost |
| url | https://www.mdpi.com/2032-6653/13/7/110 |
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