Robust Optimization and Power Management of a Triple Junction Photovoltaic Electric Vehicle with Battery Storage
Status PubMed-not-MEDLINE Jazyk angličtina Země Švýcarsko Médium electronic
Typ dokumentu časopisecké články
PubMed
36015883
PubMed Central
PMC9412334
DOI
10.3390/s22166123
PII: s22166123
Knihovny.cz E-zdroje
- Klíčová slova
- DC-DC power converters, MPPT, PV generator, electric vehicle, energy management, first order sliding mode, nonlinear control, triple junction,
- Publikační typ
- časopisecké články MeSH
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.
Department of Electrical Engineering Graphic Era Dehradun 248002 India
Electrical Department National Engineering School of Gabes Gabes 6029 Tunisia
ENET Centre VSB Technical University of Ostrava 708 00 Ostrava Czech Republic
Physic Department High School of Engineers of Tunis Tunis 1008 Tunisia
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