Multi-objective Whale Optimization Algorithm and Optimal Area Product Model based Design of Litz-wire Gapped High-Frequency Transformer for LLC Resonant Converters

This paper presents an improved resource-efficient multi-objective optimization methodology for the design of a Litz-wire based gapped high-frequency transformer (LHFT) for use in the LLC resonant converters. The method is based on a combination of the nature-inspired multi-objective whale-optimizat...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:IEEE Energy Conversion Congress and Exposition S. 497 - 501
Hauptverfasser: Ahmed, Daniyal, Wang, Li, Dai, Zehua
Format: Tagungsbericht
Sprache:Englisch
Veröffentlicht: IEEE 11.10.2020
Schlagworte:
Algorithms
Energy conversion
Inductance
Litz-wire based gapped high-frequency transformer (LHFT)
LLC resonant converter
Magnetic resonance
Multi-objective whale optimization algorithm (MOWOA)
Optimal area-product model (OAPM)
Optimization methods
Prototypes
Resonant converters
ISSN:2329-3748
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
Beschreibung
Zusammenfassung:This paper presents an improved resource-efficient multi-objective optimization methodology for the design of a Litz-wire based gapped high-frequency transformer (LHFT) for use in the LLC resonant converters. The method is based on a combination of the nature-inspired multi-objective whale-optimization algorithm (MOWOA) and the analytical optimal area-product model (OAPM). The aim is to obtain the best LHFT design for the LLC converter in a reduced number of iterations and time, with optimized total loss and volume, integrated magnetizing inductance, and the temperature-rise within limits. The proposed method's accuracy and efficient utilization of resources are proven through comparison with the existing benchmark optimization methods. Finally, experimental results are presented for validation by developing a 200W prototype LHFT for a 400VDC/12VDC LLC converter.
ISSN:2329-3748
DOI:10.1109/ECCE44975.2020.9235756