Enhanced Dual-Vector Model Predictive Current Integrated Control for Electric-Drive- Reconstructed Onboard Chargers
Electric-drive-reconstructed on-board chargers (EDROCs) have emerged as a viable solution to alleviate mileage anxiety in electric vehicles (EVs) over the past decade. Nevertheless, the inclusion of additional components and separate control strategies in the previous EDROCs undeniably results in an...
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IEEE
2024-01-01
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| Online Access: | https://ieeexplore.ieee.org/document/10562304/ |
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| author | Feng Yu Qihao Yin Laiwu Luo Yuhao Zhang |
| author_facet | Feng Yu Qihao Yin Laiwu Luo Yuhao Zhang |
| author_sort | Feng Yu |
| collection | DOAJ |
| description | Electric-drive-reconstructed on-board chargers (EDROCs) have emerged as a viable solution to alleviate mileage anxiety in electric vehicles (EVs) over the past decade. Nevertheless, the inclusion of additional components and separate control strategies in the previous EDROCs undeniably results in an escalation of system cost and control complexity. To address such an issue, an enhanced dual-vector model predictive current integrated control (MPCIC) for EDROCs is proposed, which is designed for the solar-powered electric vehicle (SPEV) that is equipped with a symmetrical six-phase machine. Firstly, the proposed topology implements the integration of charging and driving operations by re-leveraging the inherent traction system, significantly minimizing the incremental components. Secondly, the integrated control strategy for all operation modes is devised by incorporating the enhanced dual-vector model predictive control (MPC), mitigating the complexities and enhancing reliability. In this enhanced MPC, 12 virtual vectors, which consist of two active vectors, along with the optimized cost function are introduced, effectively suppressing harmonic currents. To this end, the effectiveness of the proposed EDROC is verified through a 2-kW experimental prototype under different operation modes. |
| format | Article |
| id | doaj-art-a864f94552b94243a75aa9831e6b19e7 |
| institution | Kabale University |
| issn | 2169-3536 |
| language | English |
| publishDate | 2024-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj-art-a864f94552b94243a75aa9831e6b19e72025-01-15T00:01:18ZengIEEEIEEE Access2169-35362024-01-0112869178692710.1109/ACCESS.2024.341647310562304Enhanced Dual-Vector Model Predictive Current Integrated Control for Electric-Drive- Reconstructed Onboard ChargersFeng Yu0https://orcid.org/0000-0002-4745-5219Qihao Yin1Laiwu Luo2https://orcid.org/0009-0003-4072-2921Yuhao Zhang3School of Electrical Engineering and Automation, Nantong University, Nantong, ChinaSchool of Electrical Engineering and Automation, Nantong University, Nantong, ChinaSchool of Electrical Engineering and Automation, Nantong University, Nantong, ChinaSchool of Electrical Engineering and Automation, Nantong University, Nantong, ChinaElectric-drive-reconstructed on-board chargers (EDROCs) have emerged as a viable solution to alleviate mileage anxiety in electric vehicles (EVs) over the past decade. Nevertheless, the inclusion of additional components and separate control strategies in the previous EDROCs undeniably results in an escalation of system cost and control complexity. To address such an issue, an enhanced dual-vector model predictive current integrated control (MPCIC) for EDROCs is proposed, which is designed for the solar-powered electric vehicle (SPEV) that is equipped with a symmetrical six-phase machine. Firstly, the proposed topology implements the integration of charging and driving operations by re-leveraging the inherent traction system, significantly minimizing the incremental components. Secondly, the integrated control strategy for all operation modes is devised by incorporating the enhanced dual-vector model predictive control (MPC), mitigating the complexities and enhancing reliability. In this enhanced MPC, 12 virtual vectors, which consist of two active vectors, along with the optimized cost function are introduced, effectively suppressing harmonic currents. To this end, the effectiveness of the proposed EDROC is verified through a 2-kW experimental prototype under different operation modes.https://ieeexplore.ieee.org/document/10562304/Electric-drive-reconstructed on-board chargermodel predictive current integrated control (MPCIC)solar-powered electric vehicle (SPEV)six-phase machine drive |
| spellingShingle | Feng Yu Qihao Yin Laiwu Luo Yuhao Zhang Enhanced Dual-Vector Model Predictive Current Integrated Control for Electric-Drive- Reconstructed Onboard Chargers IEEE Access Electric-drive-reconstructed on-board charger model predictive current integrated control (MPCIC) solar-powered electric vehicle (SPEV) six-phase machine drive |
| title | Enhanced Dual-Vector Model Predictive Current Integrated Control for Electric-Drive- Reconstructed Onboard Chargers |
| title_full | Enhanced Dual-Vector Model Predictive Current Integrated Control for Electric-Drive- Reconstructed Onboard Chargers |
| title_fullStr | Enhanced Dual-Vector Model Predictive Current Integrated Control for Electric-Drive- Reconstructed Onboard Chargers |
| title_full_unstemmed | Enhanced Dual-Vector Model Predictive Current Integrated Control for Electric-Drive- Reconstructed Onboard Chargers |
| title_short | Enhanced Dual-Vector Model Predictive Current Integrated Control for Electric-Drive- Reconstructed Onboard Chargers |
| title_sort | enhanced dual vector model predictive current integrated control for electric drive reconstructed onboard chargers |
| topic | Electric-drive-reconstructed on-board charger model predictive current integrated control (MPCIC) solar-powered electric vehicle (SPEV) six-phase machine drive |
| url | https://ieeexplore.ieee.org/document/10562304/ |
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