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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...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9412334/ https://www.ncbi.nlm.nih.gov/pubmed/36015883 http://dx.doi.org/10.3390/s22166123 |
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author | Hamed, Salah Beni Hamed, Mouna Ben Sbita, Lassaad Bajaj, Mohit Blazek, Vojtech Prokop, Lukas Misak, Stanislav Ghoneim, Sherif S. M. |
author_facet | Hamed, Salah Beni Hamed, Mouna Ben Sbita, Lassaad Bajaj, Mohit Blazek, Vojtech Prokop, Lukas Misak, Stanislav Ghoneim, Sherif S. M. |
author_sort | Hamed, Salah Beni |
collection | PubMed |
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. |
format | Online Article Text |
id | pubmed-9412334 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-94123342022-08-27 Robust Optimization and Power Management of a Triple Junction Photovoltaic Electric Vehicle with Battery Storage Hamed, Salah Beni Hamed, Mouna Ben Sbita, Lassaad Bajaj, Mohit Blazek, Vojtech Prokop, Lukas Misak, Stanislav Ghoneim, Sherif S. M. Sensors (Basel) Article 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. MDPI 2022-08-16 /pmc/articles/PMC9412334/ /pubmed/36015883 http://dx.doi.org/10.3390/s22166123 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Hamed, Salah Beni Hamed, Mouna Ben Sbita, Lassaad Bajaj, Mohit Blazek, Vojtech Prokop, Lukas Misak, Stanislav Ghoneim, Sherif S. M. Robust Optimization and Power Management of a Triple Junction Photovoltaic Electric Vehicle with Battery Storage |
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 | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9412334/ https://www.ncbi.nlm.nih.gov/pubmed/36015883 http://dx.doi.org/10.3390/s22166123 |
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