Robust Optimization and Power Management of a Triple Junction Photovoltaic Electric Vehicle with Battery Storage
This paper highlights a robust optimization and power management algorithm that supervises the energy transfer flow to meet the photovoltaic (PV) electric vehicle demand, even when the traction system is in motion. The power stage of the studied system consists of a triple-junction PV generator as t...
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| Format: | Article |
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MDPI AG
2022-08-01
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| Series: | Sensors |
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| Online Access: | https://www.mdpi.com/1424-8220/22/16/6123 |
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| author | Salah Beni Hamed Mouna Ben Hamed Lassaad Sbita Mohit Bajaj Vojtech Blazek Lukas Prokop Stanislav Misak Sherif S. M. Ghoneim |
| author_facet | Salah Beni Hamed Mouna Ben Hamed Lassaad Sbita Mohit Bajaj Vojtech Blazek Lukas Prokop Stanislav Misak Sherif S. M. Ghoneim |
| author_sort | Salah Beni Hamed |
| collection | DOAJ |
| description | This paper highlights a robust optimization and power management algorithm that supervises the energy transfer flow to meet the photovoltaic (PV) electric vehicle demand, even when the traction system is in motion. The power stage of the studied system consists of a triple-junction PV generator as the main energy source, a lithium-ion battery as an auxiliary energy source, and an electric vehicle. The input–output signal adaptation is made by using a stage of energy conversion. A bidirectional DC-DC buck-boost connects the battery to the DC-link. Two unidirectional boost converters interface between the PV generator and the DC link. One is controlled with a maximum power point tracking (MPPT) algorithm to reach the maximum power points. The other is used to control the voltage across the DC-link. The converters are connected to the electric vehicle via a three-phase inverter via the same DC-link. By considering the nonlinear behavior of these elements, dynamic models are developed. A robust nonlinear MPPT algorithm has been developed owing to the nonlinear dynamics of the PV generator, metrological condition variations, and load changes. The high performance of the MPPT algorithm is effectively highlighted over a comparative study with two classical P & O and the fuzzy logic MPPT algorithms. A nonlinear control based on the Lyapunov function has been developed to simultaneously regulate the DC-link voltage and control battery charging and discharging operations. An energy management rule-based strategy is presented to effectively supervise the power flow. The conceived system, energy management, and control algorithms are implemented and verified in the Matlab/Simulink environment. Obtained results are presented and discussed under different operating conditions. |
| first_indexed | 2024-03-09T03:51:34Z |
| format | Article |
| id | doaj.art-88353e6c27b64af684274f24c2a44482 |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-03-09T03:51:34Z |
| publishDate | 2022-08-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-88353e6c27b64af684274f24c2a444822023-12-03T14:26:34ZengMDPI AGSensors1424-82202022-08-012216612310.3390/s22166123Robust Optimization and Power Management of a Triple Junction Photovoltaic Electric Vehicle with Battery StorageSalah Beni Hamed0Mouna Ben Hamed1Lassaad Sbita2Mohit Bajaj3Vojtech Blazek4Lukas Prokop5Stanislav Misak6Sherif S. M. Ghoneim7Physic Department, High School of Engineers of Tunis, Tunis 1008, TunisiaElectrical Department, National Engineering School of Gabes, Gabes 6029, TunisiaElectrical Department, National Engineering School of Gabes, Gabes 6029, TunisiaDepartment of Electrical Engineering, Graphic Era (Deemed to be University), Dehradun 248002, IndiaENET Centre, VSB—Technical University of Ostrava, 708 00 Ostrava, Czech RepublicENET Centre, VSB—Technical University of Ostrava, 708 00 Ostrava, Czech RepublicENET Centre, VSB—Technical University of Ostrava, 708 00 Ostrava, Czech RepublicElectrical Engineering Department, College of Engineering, Taif University, P.O. Box 11099, Taif 21944, Saudi ArabiaThis paper highlights a robust optimization and power management algorithm that supervises the energy transfer flow to meet the photovoltaic (PV) electric vehicle demand, even when the traction system is in motion. The power stage of the studied system consists of a triple-junction PV generator as the main energy source, a lithium-ion battery as an auxiliary energy source, and an electric vehicle. The input–output signal adaptation is made by using a stage of energy conversion. A bidirectional DC-DC buck-boost connects the battery to the DC-link. Two unidirectional boost converters interface between the PV generator and the DC link. One is controlled with a maximum power point tracking (MPPT) algorithm to reach the maximum power points. The other is used to control the voltage across the DC-link. The converters are connected to the electric vehicle via a three-phase inverter via the same DC-link. By considering the nonlinear behavior of these elements, dynamic models are developed. A robust nonlinear MPPT algorithm has been developed owing to the nonlinear dynamics of the PV generator, metrological condition variations, and load changes. The high performance of the MPPT algorithm is effectively highlighted over a comparative study with two classical P & O and the fuzzy logic MPPT algorithms. A nonlinear control based on the Lyapunov function has been developed to simultaneously regulate the DC-link voltage and control battery charging and discharging operations. An energy management rule-based strategy is presented to effectively supervise the power flow. The conceived system, energy management, and control algorithms are implemented and verified in the Matlab/Simulink environment. Obtained results are presented and discussed under different operating conditions.https://www.mdpi.com/1424-8220/22/16/6123PV generatortriple junctionfirst order sliding modeMPPTnonlinear controlelectric vehicle |
| spellingShingle | Salah Beni Hamed Mouna Ben Hamed Lassaad Sbita Mohit Bajaj Vojtech Blazek Lukas Prokop Stanislav Misak Sherif S. M. Ghoneim Robust Optimization and Power Management of a Triple Junction Photovoltaic Electric Vehicle with Battery Storage Sensors PV generator triple junction first order sliding mode MPPT nonlinear control electric vehicle |
| title | Robust Optimization and Power Management of a Triple Junction Photovoltaic Electric Vehicle with Battery Storage |
| title_full | Robust Optimization and Power Management of a Triple Junction Photovoltaic Electric Vehicle with Battery Storage |
| title_fullStr | Robust Optimization and Power Management of a Triple Junction Photovoltaic Electric Vehicle with Battery Storage |
| title_full_unstemmed | Robust Optimization and Power Management of a Triple Junction Photovoltaic Electric Vehicle with Battery Storage |
| title_short | Robust Optimization and Power Management of a Triple Junction Photovoltaic Electric Vehicle with Battery Storage |
| title_sort | robust optimization and power management of a triple junction photovoltaic electric vehicle with battery storage |
| topic | PV generator triple junction first order sliding mode MPPT nonlinear control electric vehicle |
| url | https://www.mdpi.com/1424-8220/22/16/6123 |
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