Collaborative Energy Management for Intelligent Connected Plug-In Hybrid Electric Vehicles Based on Autonomous Speed Planning
This paper proposes a collaborative optimization strategy for speed planning and energy management of intelligent plug-in hybrid electric vehicles (PHEVs). In this study, a single-axis parallel PHEV with the powertrain of P2 configuration is employed as the research object. Then, dynamic programming...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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IEEE
2023-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/10173483/ |
| _version_ | 1797773350867566592 |
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| author | Zhenzhen Lei Yafang Huang Shuai Zhang Wenjun Wan Yi Sui Yonggang Liu |
| author_facet | Zhenzhen Lei Yafang Huang Shuai Zhang Wenjun Wan Yi Sui Yonggang Liu |
| author_sort | Zhenzhen Lei |
| collection | DOAJ |
| description | This paper proposes a collaborative optimization strategy for speed planning and energy management of intelligent plug-in hybrid electric vehicles (PHEVs). In this study, a single-axis parallel PHEV with the powertrain of P2 configuration is employed as the research object. Then, dynamic programming (DP) is leveraged to ensure optimal fuel economy with the consideration of the simultaneous optimal demand torque distribution and autonomous speed selection. An adjustment coefficient that reasonably constrains the feasible domain of vehicle speed is designed to limit the range of autonomous speed selection according to driving conditions. The reasonableness of speed selection is enhanced by adding penalty functions to inhibit gear shifting and speed fluctuations. To consider the variability of the control strategies based on the constraints of travel time and distance, a time-domain and a space-domain collaborative optimization model are established respectively, and a simulation analysis of the collaborative optimization energy management strategy is conducted. The simulation result shows that the strategy achieves the collaborative optimization of speed autonomous planning and reasonable allocation for demand torque. In addition, the proposed strategy demonstrates preferable energy economy under different constraints based on time and space domains. |
| first_indexed | 2024-03-12T22:04:18Z |
| format | Article |
| id | doaj.art-887b4d7b2f9247e899cc4134593ac6e5 |
| institution | Directory Open Access Journal |
| issn | 2169-3536 |
| language | English |
| last_indexed | 2024-03-12T22:04:18Z |
| publishDate | 2023-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj.art-887b4d7b2f9247e899cc4134593ac6e52023-07-24T23:00:24ZengIEEEIEEE Access2169-35362023-01-0111734487346110.1109/ACCESS.2023.329279110173483Collaborative Energy Management for Intelligent Connected Plug-In Hybrid Electric Vehicles Based on Autonomous Speed PlanningZhenzhen Lei0https://orcid.org/0000-0002-0783-0475Yafang Huang1https://orcid.org/0009-0002-6510-5818Shuai Zhang2Wenjun Wan3Yi Sui4Yonggang Liu5https://orcid.org/0000-0001-9768-328XSchool of Mechanical and Power Engineering, Chongqing University of Science and Technology, Chongqing, ChinaSchool of Mechanical and Power Engineering, Chongqing University of Science and Technology, Chongqing, ChinaSchool of Mechanical and Power Engineering, Chongqing University of Science and Technology, Chongqing, ChinaSchool of Mechanical and Power Engineering, Chongqing University of Science and Technology, Chongqing, ChinaSchool of Mechanical and Power Engineering, Chongqing University of Science and Technology, Chongqing, ChinaState Key Laboratory of Mechanical Transmissions, Chongqing University, Chongqing, ChinaThis paper proposes a collaborative optimization strategy for speed planning and energy management of intelligent plug-in hybrid electric vehicles (PHEVs). In this study, a single-axis parallel PHEV with the powertrain of P2 configuration is employed as the research object. Then, dynamic programming (DP) is leveraged to ensure optimal fuel economy with the consideration of the simultaneous optimal demand torque distribution and autonomous speed selection. An adjustment coefficient that reasonably constrains the feasible domain of vehicle speed is designed to limit the range of autonomous speed selection according to driving conditions. The reasonableness of speed selection is enhanced by adding penalty functions to inhibit gear shifting and speed fluctuations. To consider the variability of the control strategies based on the constraints of travel time and distance, a time-domain and a space-domain collaborative optimization model are established respectively, and a simulation analysis of the collaborative optimization energy management strategy is conducted. The simulation result shows that the strategy achieves the collaborative optimization of speed autonomous planning and reasonable allocation for demand torque. In addition, the proposed strategy demonstrates preferable energy economy under different constraints based on time and space domains.https://ieeexplore.ieee.org/document/10173483/Plug-in hybrid electric vehiclescollaborative optimizationenergy management strategyhierarchical optimization |
| spellingShingle | Zhenzhen Lei Yafang Huang Shuai Zhang Wenjun Wan Yi Sui Yonggang Liu Collaborative Energy Management for Intelligent Connected Plug-In Hybrid Electric Vehicles Based on Autonomous Speed Planning IEEE Access Plug-in hybrid electric vehicles collaborative optimization energy management strategy hierarchical optimization |
| title | Collaborative Energy Management for Intelligent Connected Plug-In Hybrid Electric Vehicles Based on Autonomous Speed Planning |
| title_full | Collaborative Energy Management for Intelligent Connected Plug-In Hybrid Electric Vehicles Based on Autonomous Speed Planning |
| title_fullStr | Collaborative Energy Management for Intelligent Connected Plug-In Hybrid Electric Vehicles Based on Autonomous Speed Planning |
| title_full_unstemmed | Collaborative Energy Management for Intelligent Connected Plug-In Hybrid Electric Vehicles Based on Autonomous Speed Planning |
| title_short | Collaborative Energy Management for Intelligent Connected Plug-In Hybrid Electric Vehicles Based on Autonomous Speed Planning |
| title_sort | collaborative energy management for intelligent connected plug in hybrid electric vehicles based on autonomous speed planning |
| topic | Plug-in hybrid electric vehicles collaborative optimization energy management strategy hierarchical optimization |
| url | https://ieeexplore.ieee.org/document/10173483/ |
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