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Archivio digitale delle tesi discusse presso l’Università di Pisa

Tesi etd-03112025-160939


Tipo di tesi
Tesi di dottorato di ricerca
Autore
ZHU, JUNDA
URN
etd-03112025-160939
Titolo
Advanced Modeling, Design, and Optimization of Dynamic Wireless Power Transfer Systems for Electric Vehicles
Settore scientifico disciplinare
IIET-01/A - Elettrotecnica
Corso di studi
INGEGNERIA DELL'ENERGIA, DEI SISTEMI, DEL TERRITORIO E DELLE COSTRUZIONI
Relatori
tutor Barmada, Sami
tutor Musolino, Antonino
tutor Ceraolo, Massimo
Parole chiave
  • compensation network
  • dynamic wireless power transfer
  • electromagnetic shielding
  • group optimization
Data inizio appello
18/03/2025
Consultabilità
Completa
Riassunto
Dynamic wireless power transfer (DWPT) technology is poised to revolutionize the future of electric vehicles (EVs) and the broader transportation ecosystem. By enabling dynamic and contactless charging, DWPT offers unique opportunities to improve energy efficiency and sustainability, especially in the areas of smart grids, environmental protection, and public transportation. However, challenges such as unstable power transmission, efficiency fluctuations, and electromagnetic interference (EMI) have hindered its widespread commercialization.
This doctoral dissertation explores the key technological advances necessary to develop DWPT systems. First, it studies existing DWPT technologies and their inherent limitations. Then, it focuses on the design and optimization of compensation networks, circuit parameters, and coil structures. In addition, it proposes an optimized electromagnetic shielding method to mitigate EMI. Finally, a comprehensive DWPT system model is developed by selecting a suitable compensation network and optimized coil structure for the system, while group optimization is introduced to improve system performance and ensure stable power transmission in motion.
By addressing these challenges, this work advances the practical application of DWPT technology and lays the foundation for its commercial viability and widespread adoption in modern electric vehicle infrastructure.
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