Improving inverter efficiency for electric vehicles: Experimental validation of the neural network-based SHE technique using RT-LAB

Improving inverter efficiency for electric vehicles: Experimental validation of the neural network-based SHE technique using RT-LAB

Inverters are essential for converting direct current to alternating current in electric vehicles, relying on pulse width modulation (PWM) for efficiency. This study presents a real-time Selective Harmonic Elimination PWM (SHE-PWM) algorithm using artificial neural networks, validated with the OP56...

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Bibliographic Details
Main Authors: Seyf Eddine Bechekir, Mokhtaria Jbilou, Mostefa Brahami, Fatima Zohra Boudjella, Imen Souhila Bousmaha, Mimouna Oukli, Said Nemmich
Format: Article
Language:English
Published: Institute of Technology and Education Galileo da Amazônia 2025-05-01
Series:ITEGAM-JETIA
Online Access:http://www.itegam-jetia.org/journal/index.php/jetia/article/view/1244
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http://www.itegam-jetia.org/journal/index.php/jetia/article/view/1244

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