Title :
Maximum Achievable Efficiency in Near-Field Coupled Power-Transfer Systems
Author :
Zargham, M. ; Gulak, P. Glenn
Author_Institution :
Dept. of Electr. & Comput. Eng., Univ. of Toronto, Toronto, ON, Canada
fDate :
6/1/2012 12:00:00 AM
Abstract :
Wireless power transfer is commonly realized by means of near-field inductive coupling and is critical to many existing and emerging applications in biomedical engineering. This paper presents a closed form analytical solution for the optimum load that achieves the maximum possible power efficiency under arbitrary input impedance conditions based on the general two-port parameters of the network. The two-port approach allows one to predict the power transfer efficiency at any frequency, any type of coil geometry and through any type of media surrounding the coils. Moreover, the results are applicable to any form of passive power transfer such as provided by inductive or capacitive coupling. Our results generalize several well-known special cases. The formulation allows the design of an optimized wireless power transfer link through biological media using readily available EM simulation software. The proposed method effectively decouples the design of the inductive coupling two-port from the problem of loading and power amplifier design. Several case studies are provided for typical applications.
Keywords :
biomedical engineering; coils; inductive power transmission; power electronics; two-port networks; EM simulation software; arbitrary input impedance conditions; biological media; biomedical engineering; closed form analytical solution; coil geometry; maximum achievable efficiency; near-field coupled power-transfer systems; near-field inductive coupling; optimum load; passive power transfer; two-port parameters; wireless power transfer; Biological system modeling; Coils; Couplings; Impedance; Load modeling; Loading; Media; CMOS coil; RFID; conjugate matching; energy harvesting; inductive coupling; lab-on-chip; matching networks; medical implant; near-field; neural implant; on-chip receiver; optimum frequency; optimum load; power transfer efficiency; wireless power transfer; Algorithms; Amplifiers, Electronic; Biomedical Engineering; Computers; Electric Power Supplies; Electronics, Medical; Equipment Design; Humans; Prostheses and Implants; Signal Processing, Computer-Assisted; Software; Wireless Technology;
Journal_Title :
Biomedical Circuits and Systems, IEEE Transactions on
DOI :
10.1109/TBCAS.2011.2174794