Takuya Sasatani 교수

The rise of the Internet of Things (IoT) has led to a significant increase in the number of connected devices that stream data in our homes, offices and industrial spaces. However, as the number of these devices increases, the costs of actively maintaining and replacing batteries becomes prohibitive at scale. Recent work on Quasistatic Cavity Resonance (QSCR), offers the possibility of seamless wireless power transfer (WPT) to receivers placed anywhere inside large indoor spaces. This work aims

The majority of existing wireless power transfer (WPT) solutions are limited to two-dimensional (2-D) configurations, which limits mobility when charging electronic devices. What is needed are systems capable of 3-D WPT, which can deliver power everywhere throughout large volumes. Prior work on quasistatic cavity resonance (QSCR) showed promising results for ubiquitous WPT at room scales or larger. However, many challenges remain for QSCR, such as the need for a conductive pole in the middle of

Wireless power transfer technology has seen steady advances in recent years, yet seamlessly charging devices within large volumes of space remains challenging. Although quasi-static cavity resonators have recently demonstrated safe wireless power transfer at room-scale sizes at significant power levels, previous work investigated this concept using coupled mode theory, lacking utility from the engineering perspective. This work presents a circuit model analysis of quasi-static cavity resonance-b

Deploying 2-D arrays of multiple transmitters is a promising approach for extending wireless power transfer (WPT) to wide surfaces. However, these arrays involve “null zones,” where the transfer efficiency drops significantly. Although this problem can be hypothetically addressed by employing a receiver array and dynamically selecting the appropriate transmitter/receiver pair, designing receiver arrays that achieve high efficiency throughout the surface remains a challenging task. In this study,

The transfer efficiency of a resonant wireless power transfer system highly depends on the load impedance and the reactance of the resonators. In many practical applications, these parameters fluctuate by the variation of operating conditions. Therefore, adaptive impedance tuning methods are necessary in order to continuously achieve high-efficiency power transfer. To provide a countermeasure to this problem, this paper proposes a DC-based resonator reactance tuning method which assembles a vari

The performance of a wireless power transfer (WPT) system is highly dependent on the complex impedance of the receiver (RX). Therefore, dynamic complex impedance tuning methods are critical pieces for gaining sufficient control over WPT systems. However, prior methods cannot achieve the following three requirements simultaneously: high-frequency $(i.e.\ \mathrm{MHz},\ \mathrm{GHz})$ operation, continuous complex impedance tuning, and few additional components. To overcome these challenges, we pr

Resonator design methods play an important role in realizing efficient wireless power transfer via magnetic resonant coupling (WPT-MRC) systems. In WPT-MRC systems, transmitting (Tx) resonator arrays are often used to extend the range of the power supply. However, it is difficult to design a receiving (Rx) resonator that prevents significant drops in transfer efficiency across the Tx resonator array owing to the complexity that stems from fluctuating coupling coefficients. In order to resolve th

Most existing wireless power transfer (WPT) solutions are limited to 2-D configurations, which limits mobility when charging electronics. What is needed are 3-D WPT, which can deliver power anywhere in large volumes (e.g., factories, rooms, toolbox, etc). WPT using quasistatic cavity resonators (QSCR) proposed a route towards truly ubiquitous WPT, which safely charges devices as they enter a WPT enabled space. However, several drawbacks exist to this approach such as the need for a central pole

Simulation data and analysis code accompanying the paper "Patched-Wall Quasistatic Cavity Resonators for 3-D Wireless Power Transfer." Includes COMSOL eigenvalue and H-field exports, Touchstone S-parameter files, and a Python package for power transfer efficiency computation and eigenmode classification. A Jupyter notebook reproduces all figures from the paper.

Simulation data and analysis code accompanying the paper "Patched-Wall Quasistatic Cavity Resonators for 3-D Wireless Power Transfer." Includes COMSOL eigenvalue and H-field exports, Touchstone S-parameter files, and a Python package for power transfer efficiency computation and eigenmode classification. A Jupyter notebook reproduces all figures from the paper.

Data and code for our paper "Reconfiguring room-scale magnetoquasistatic wireless power transfer with hierarchical resonators."