Wireless charging techniques, based on Inductive Power Transfer (IPT), are attractive for Electric Vehicles (EV), due to benefits such as convenience and safety. An accurate valuation of the maximum achievable efficiency in an IPT system is extremely unlikely due to the high sensitivity to parasitic elements variations. Therefore, an "on site" procedure of power efficiency characterization is useful to get a precise description of the efficiency curve and obtain the actual maximum efficiency. In this paper, a power tracking algorithm aiming at efficiency maximization is proposed for a Wireless Charging system. The algorithm aims at finding the maximum power transfer efficiency with respect to two control variables

Pellitteri, F., Boscaino, V., Miceli, R., Madawala, U. (2014). Power tracking with maximum efficiency for wireless charging of E-bikes. In Proceedings of 2014 IEEE International Electric Vehicle Conference (IEVC) (pp. 1-7) [10.1109/IEVC.2014.7056208].

Power tracking with maximum efficiency for wireless charging of E-bikes

PELLITTERI, Filippo;BOSCAINO, Valeria;MICELI, Rosario;
2014-01-01

Abstract

Wireless charging techniques, based on Inductive Power Transfer (IPT), are attractive for Electric Vehicles (EV), due to benefits such as convenience and safety. An accurate valuation of the maximum achievable efficiency in an IPT system is extremely unlikely due to the high sensitivity to parasitic elements variations. Therefore, an "on site" procedure of power efficiency characterization is useful to get a precise description of the efficiency curve and obtain the actual maximum efficiency. In this paper, a power tracking algorithm aiming at efficiency maximization is proposed for a Wireless Charging system. The algorithm aims at finding the maximum power transfer efficiency with respect to two control variables
2014
978-147996075-0
Pellitteri, F., Boscaino, V., Miceli, R., Madawala, U. (2014). Power tracking with maximum efficiency for wireless charging of E-bikes. In Proceedings of 2014 IEEE International Electric Vehicle Conference (IEVC) (pp. 1-7) [10.1109/IEVC.2014.7056208].
File in questo prodotto:
File Dimensione Formato  
PID3456823.pdf

Solo gestori archvio

Tipologia: Versione Editoriale
Dimensione 648.92 kB
Formato Adobe PDF
648.92 kB Adobe PDF   Visualizza/Apri   Richiedi una copia

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/10447/154335
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 21
  • ???jsp.display-item.citation.isi??? 5
social impact