A systematic design of adaptive waveform for Wireless Power Transfer (WPT) has recently been proposed and shown through simulations to lead to significant performance benefits compared to traditional non-adaptive and heuristic waveforms. In this study, we design the first prototype of a closed-loop wireless power transfer system with adaptive waveform optimization based on Channel State Information acquisition. The prototype consists of three important blocks, namely the channel estimator, the waveform optimizer, and the energy harvester. Software Defined Radio (SDR) prototyping tools are used to implement a wireless power transmitter and a channel estimator, and a voltage doubler rectenna is designed to work as an energy harvester. A channel adaptive waveform with 8 sinewaves is shown through experiments to improve the average harvested DC power at the rectenna output by 9.8% to 36.8% over a non-adaptive design with the same number of sinewaves.
|Title of host publication||WPTC 2017 - Wireless Power Transfer Conference|
|Publisher||Institute of Electrical and Electronics Engineers Inc.|
|Publication status||Published - 2017 Jun 19|
|Event||2017 Wireless Power Transfer Conference, WPTC 2017 - Taipei, Taiwan, Province of China|
Duration: 2017 May 10 → 2017 May 12
|Name||WPTC 2017 - Wireless Power Transfer Conference|
|Other||2017 Wireless Power Transfer Conference, WPTC 2017|
|Country/Territory||Taiwan, Province of China|
|Period||17/5/10 → 17/5/12|
Bibliographical notePublisher Copyright:
© 2017 IEEE.
ASJC Scopus subject areas
- Computer Networks and Communications
- Electrical and Electronic Engineering
- Energy Engineering and Power Technology