Direct Model Predictive Control of Fuel Cell and Ultra-Capacitor Based Hybrid Electric Vehicle
Considering climate change, hybrid electric vehicles (HEVs) provide a clean alternative for transportation. This study presents an HEV with a fuel cell and ultra-capacitor connected in a parallel-type configuration. Direct model predictive control is used to optimize the power flow between the energ...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
IEEE
2024-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/10478719/ |
| _version_ | 1797227325817880576 |
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| author | Farrukh Zain Ul Abideen Hassan Abdullah Khalid Muhammad Saud Khan Habibur Rehman Ammar Hasan |
| author_facet | Farrukh Zain Ul Abideen Hassan Abdullah Khalid Muhammad Saud Khan Habibur Rehman Ammar Hasan |
| author_sort | Farrukh Zain Ul Abideen |
| collection | DOAJ |
| description | Considering climate change, hybrid electric vehicles (HEVs) provide a clean alternative for transportation. This study presents an HEV with a fuel cell and ultra-capacitor connected in a parallel-type configuration. Direct model predictive control is used to optimize the power flow between the energy sources and the motor. Notably, the proposed controller uses a global approach, i.e., a single controller for the regulation of both power converters, thereby enhancing overall performance. Furthermore, the controller design leverages a non-averaged state space model that explicitly incorporates the switching nature of the converters. A method for computing reference currents for the fuel cell and ultra-capacitor is also introduced, which utilizes the ultra-capacitor current to manage power demand transients. Simulation results show that the proposed technique produces better results in terms of overshoot, steady-state error, and response time compared to recent studies in the literature. |
| first_indexed | 2024-04-24T14:39:01Z |
| format | Article |
| id | doaj.art-e5e5c152242e4197b2833d728b88583a |
| institution | Directory Open Access Journal |
| issn | 2169-3536 |
| language | English |
| last_indexed | 2024-04-24T14:39:01Z |
| publishDate | 2024-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj.art-e5e5c152242e4197b2833d728b88583a2024-04-02T23:00:51ZengIEEEIEEE Access2169-35362024-01-0112467744678410.1109/ACCESS.2024.338121910478719Direct Model Predictive Control of Fuel Cell and Ultra-Capacitor Based Hybrid Electric VehicleFarrukh Zain Ul Abideen0https://orcid.org/0009-0005-5749-2872Hassan Abdullah Khalid1https://orcid.org/0000-0003-1404-0751Muhammad Saud Khan2https://orcid.org/0000-0002-3796-7173Habibur Rehman3https://orcid.org/0000-0002-8251-654XAmmar Hasan4https://orcid.org/0000-0003-2755-8410School of Electrical Engineering and Computer Science (SEECS), National University of Sciences & Technology (NUST), Islamabad, PakistanU.S.-Pakistan Center for Advanced Studies in Energy (USPCAS-E), National University of Sciences & Technology (NUST), Islamabad, PakistanSchool of Electrical Engineering and Computer Science (SEECS), National University of Sciences & Technology (NUST), Islamabad, PakistanDepartment of Electrical Engineering, American University of Sharjah, Sharjah, United Arab EmiratesSchool of Electrical Engineering and Computer Science (SEECS), National University of Sciences & Technology (NUST), Islamabad, PakistanConsidering climate change, hybrid electric vehicles (HEVs) provide a clean alternative for transportation. This study presents an HEV with a fuel cell and ultra-capacitor connected in a parallel-type configuration. Direct model predictive control is used to optimize the power flow between the energy sources and the motor. Notably, the proposed controller uses a global approach, i.e., a single controller for the regulation of both power converters, thereby enhancing overall performance. Furthermore, the controller design leverages a non-averaged state space model that explicitly incorporates the switching nature of the converters. A method for computing reference currents for the fuel cell and ultra-capacitor is also introduced, which utilizes the ultra-capacitor current to manage power demand transients. Simulation results show that the proposed technique produces better results in terms of overshoot, steady-state error, and response time compared to recent studies in the literature.https://ieeexplore.ieee.org/document/10478719/Model predictive control (MPC)fuel cell (FC)ultra-capacitor (UC)hybrid electric vehicle (HEV) |
| spellingShingle | Farrukh Zain Ul Abideen Hassan Abdullah Khalid Muhammad Saud Khan Habibur Rehman Ammar Hasan Direct Model Predictive Control of Fuel Cell and Ultra-Capacitor Based Hybrid Electric Vehicle IEEE Access Model predictive control (MPC) fuel cell (FC) ultra-capacitor (UC) hybrid electric vehicle (HEV) |
| title | Direct Model Predictive Control of Fuel Cell and Ultra-Capacitor Based Hybrid Electric Vehicle |
| title_full | Direct Model Predictive Control of Fuel Cell and Ultra-Capacitor Based Hybrid Electric Vehicle |
| title_fullStr | Direct Model Predictive Control of Fuel Cell and Ultra-Capacitor Based Hybrid Electric Vehicle |
| title_full_unstemmed | Direct Model Predictive Control of Fuel Cell and Ultra-Capacitor Based Hybrid Electric Vehicle |
| title_short | Direct Model Predictive Control of Fuel Cell and Ultra-Capacitor Based Hybrid Electric Vehicle |
| title_sort | direct model predictive control of fuel cell and ultra capacitor based hybrid electric vehicle |
| topic | Model predictive control (MPC) fuel cell (FC) ultra-capacitor (UC) hybrid electric vehicle (HEV) |
| url | https://ieeexplore.ieee.org/document/10478719/ |
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