Robust Optimization and Power Management of a Triple Junction Photovoltaic Electric Vehicle with Battery Storage

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F22%3A10250181" target="_blank" >RIV/61989100:27240/22:10250181 - isvavai.cz</a>

Alternative codes found

RIV/61989100:27730/22:10250181

Result on the web

<a href="https://www.mdpi.com/1424-8220/22/16/6123" target="_blank" >https://www.mdpi.com/1424-8220/22/16/6123</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.3390/s22166123" target="_blank" >10.3390/s22166123</a>

Result language

angličtina

Original language name

Robust Optimization and Power Management of a Triple Junction Photovoltaic Electric Vehicle with Battery Storage

Original language 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 &amp; 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.

Czech name

—

Czech description

—

Type

J_imp - Article in a specialist periodical, which is included in the Web of Science database

CEP classification

—

OECD FORD branch

20200 - Electrical engineering, Electronic engineering, Information engineering

Project

<a href="/en/project/TN01000007" target="_blank" >TN01000007: National Centre for Energy</a><br>

Continuities

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year

2022

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Name of the periodical

Sensors

ISSN

1424-3210

e-ISSN

1424-8220

Volume of the periodical

22

Issue of the periodical within the volume

16

Country of publishing house

CH - SWITZERLAND

Number of pages

31

Pages from-to

nestrankovano

UT code for WoS article

000845411400001

EID of the result in the Scopus database

2-s2.0-85136872667