Performance of Cognitive Wireless Charger for Near-Field Wireless Charging

Sang Yoon Chang, Sristi Lakshmi Sravana Kumar, Yih Chun Hu

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Wireless charging provides a convenient way to charge various mobile and IoT devices. Prior work in state-of-theart wireless charging systems operates at a frequency controlled by explicit networking from the power-receiving devices and is designed for the environment when the participating devices are perfectly aligned with each other. The need for the finer control due to the devices' misalignment is increasing in near-field and pseudo-tightly coupled charging applications, as more charging pads, are being deployed in the public domains and serving heterogeneous clients. Because inductive-coupled charging applications are sensitive to the placement and alignment variations between the power-transmitting and the power-receiving coils, we design and build Cognitive Wireless Charger (CWC). CWC adaptively controls the operating frequency in real time using implicit feedback for optimal power transfer operations. This demo is to supplement our paper about CWC [1]. In this demo, we showcase the impact on power transfer performance caused by the variations in the placement and alignment between the charging coils of power transmitter and power receiver and demonstrate the performance improvement provided by CWC.

Original languageEnglish (US)
Title of host publicationProceedings - IEEE 37th International Conference on Distributed Computing Systems, ICDCS 2017
EditorsKisung Lee, Ling Liu
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages2555-2556
Number of pages2
ISBN (Electronic)9781538617915
DOIs
StatePublished - Jul 13 2017
Event37th IEEE International Conference on Distributed Computing Systems, ICDCS 2017 - Atlanta, United States
Duration: Jun 5 2017Jun 8 2017

Publication series

NameProceedings - International Conference on Distributed Computing Systems

Other

Other37th IEEE International Conference on Distributed Computing Systems, ICDCS 2017
CountryUnited States
CityAtlanta
Period6/5/176/8/17

Fingerprint

Transmitters
Feedback
Internet of things

ASJC Scopus subject areas

  • Software
  • Hardware and Architecture
  • Computer Networks and Communications

Cite this

Chang, S. Y., Kumar, S. L. S., & Hu, Y. C. (2017). Performance of Cognitive Wireless Charger for Near-Field Wireless Charging. In K. Lee, & L. Liu (Eds.), Proceedings - IEEE 37th International Conference on Distributed Computing Systems, ICDCS 2017 (pp. 2555-2556). [7980230] (Proceedings - International Conference on Distributed Computing Systems). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICDCS.2017.334

Performance of Cognitive Wireless Charger for Near-Field Wireless Charging. / Chang, Sang Yoon; Kumar, Sristi Lakshmi Sravana; Hu, Yih Chun.

Proceedings - IEEE 37th International Conference on Distributed Computing Systems, ICDCS 2017. ed. / Kisung Lee; Ling Liu. Institute of Electrical and Electronics Engineers Inc., 2017. p. 2555-2556 7980230 (Proceedings - International Conference on Distributed Computing Systems).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Chang, SY, Kumar, SLS & Hu, YC 2017, Performance of Cognitive Wireless Charger for Near-Field Wireless Charging. in K Lee & L Liu (eds), Proceedings - IEEE 37th International Conference on Distributed Computing Systems, ICDCS 2017., 7980230, Proceedings - International Conference on Distributed Computing Systems, Institute of Electrical and Electronics Engineers Inc., pp. 2555-2556, 37th IEEE International Conference on Distributed Computing Systems, ICDCS 2017, Atlanta, United States, 6/5/17. https://doi.org/10.1109/ICDCS.2017.334
Chang SY, Kumar SLS, Hu YC. Performance of Cognitive Wireless Charger for Near-Field Wireless Charging. In Lee K, Liu L, editors, Proceedings - IEEE 37th International Conference on Distributed Computing Systems, ICDCS 2017. Institute of Electrical and Electronics Engineers Inc. 2017. p. 2555-2556. 7980230. (Proceedings - International Conference on Distributed Computing Systems). https://doi.org/10.1109/ICDCS.2017.334
Chang, Sang Yoon ; Kumar, Sristi Lakshmi Sravana ; Hu, Yih Chun. / Performance of Cognitive Wireless Charger for Near-Field Wireless Charging. Proceedings - IEEE 37th International Conference on Distributed Computing Systems, ICDCS 2017. editor / Kisung Lee ; Ling Liu. Institute of Electrical and Electronics Engineers Inc., 2017. pp. 2555-2556 (Proceedings - International Conference on Distributed Computing Systems).
@inproceedings{05edad2faa0a4610ba067e1d6994793f,
title = "Performance of Cognitive Wireless Charger for Near-Field Wireless Charging",
abstract = "Wireless charging provides a convenient way to charge various mobile and IoT devices. Prior work in state-of-theart wireless charging systems operates at a frequency controlled by explicit networking from the power-receiving devices and is designed for the environment when the participating devices are perfectly aligned with each other. The need for the finer control due to the devices' misalignment is increasing in near-field and pseudo-tightly coupled charging applications, as more charging pads, are being deployed in the public domains and serving heterogeneous clients. Because inductive-coupled charging applications are sensitive to the placement and alignment variations between the power-transmitting and the power-receiving coils, we design and build Cognitive Wireless Charger (CWC). CWC adaptively controls the operating frequency in real time using implicit feedback for optimal power transfer operations. This demo is to supplement our paper about CWC [1]. In this demo, we showcase the impact on power transfer performance caused by the variations in the placement and alignment between the charging coils of power transmitter and power receiver and demonstrate the performance improvement provided by CWC.",
author = "Chang, {Sang Yoon} and Kumar, {Sristi Lakshmi Sravana} and Hu, {Yih Chun}",
year = "2017",
month = "7",
day = "13",
doi = "10.1109/ICDCS.2017.334",
language = "English (US)",
series = "Proceedings - International Conference on Distributed Computing Systems",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "2555--2556",
editor = "Kisung Lee and Ling Liu",
booktitle = "Proceedings - IEEE 37th International Conference on Distributed Computing Systems, ICDCS 2017",
address = "United States",

}

TY - GEN

T1 - Performance of Cognitive Wireless Charger for Near-Field Wireless Charging

AU - Chang, Sang Yoon

AU - Kumar, Sristi Lakshmi Sravana

AU - Hu, Yih Chun

PY - 2017/7/13

Y1 - 2017/7/13

N2 - Wireless charging provides a convenient way to charge various mobile and IoT devices. Prior work in state-of-theart wireless charging systems operates at a frequency controlled by explicit networking from the power-receiving devices and is designed for the environment when the participating devices are perfectly aligned with each other. The need for the finer control due to the devices' misalignment is increasing in near-field and pseudo-tightly coupled charging applications, as more charging pads, are being deployed in the public domains and serving heterogeneous clients. Because inductive-coupled charging applications are sensitive to the placement and alignment variations between the power-transmitting and the power-receiving coils, we design and build Cognitive Wireless Charger (CWC). CWC adaptively controls the operating frequency in real time using implicit feedback for optimal power transfer operations. This demo is to supplement our paper about CWC [1]. In this demo, we showcase the impact on power transfer performance caused by the variations in the placement and alignment between the charging coils of power transmitter and power receiver and demonstrate the performance improvement provided by CWC.

AB - Wireless charging provides a convenient way to charge various mobile and IoT devices. Prior work in state-of-theart wireless charging systems operates at a frequency controlled by explicit networking from the power-receiving devices and is designed for the environment when the participating devices are perfectly aligned with each other. The need for the finer control due to the devices' misalignment is increasing in near-field and pseudo-tightly coupled charging applications, as more charging pads, are being deployed in the public domains and serving heterogeneous clients. Because inductive-coupled charging applications are sensitive to the placement and alignment variations between the power-transmitting and the power-receiving coils, we design and build Cognitive Wireless Charger (CWC). CWC adaptively controls the operating frequency in real time using implicit feedback for optimal power transfer operations. This demo is to supplement our paper about CWC [1]. In this demo, we showcase the impact on power transfer performance caused by the variations in the placement and alignment between the charging coils of power transmitter and power receiver and demonstrate the performance improvement provided by CWC.

UR - http://www.scopus.com/inward/record.url?scp=85027245191&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85027245191&partnerID=8YFLogxK

U2 - 10.1109/ICDCS.2017.334

DO - 10.1109/ICDCS.2017.334

M3 - Conference contribution

AN - SCOPUS:85027245191

T3 - Proceedings - International Conference on Distributed Computing Systems

SP - 2555

EP - 2556

BT - Proceedings - IEEE 37th International Conference on Distributed Computing Systems, ICDCS 2017

A2 - Lee, Kisung

A2 - Liu, Ling

PB - Institute of Electrical and Electronics Engineers Inc.

ER -