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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...

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Autores principales: Hamed, Salah Beni, Hamed, Mouna Ben, Sbita, Lassaad, Bajaj, Mohit, Blazek, Vojtech, Prokop, Lukas, Misak, Stanislav, Ghoneim, Sherif S. M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
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.
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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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