Title :
Power tracking with maximum efficiency for wireless charging of E-bikes
Author :
Pellitteri, F. ; Boscaino, V. ; Miceli, R. ; Madawala, Udaya K.
Author_Institution :
Dept. of Energy, Inf. & Mathematic Models, Univ. of Palermo, Palermo, Italy
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.
Keywords :
bicycles; electric vehicles; inductive power transmission; e-bikes; electric vehicles; inductive power transfer; maximum power transfer efficiency; power tracking; wireless charging; Algorithm design and analysis; Batteries; Delays; Equations; Inductive charging; Mathematical model; Wireless communication; inductive power transfer; maximum efficiency; power flow control; power tracking; wireless battery charging;
Conference_Titel :
Electric Vehicle Conference (IEVC), 2014 IEEE International
DOI :
10.1109/IEVC.2014.7056208