Self-powered intelligent door handle based on triboelectric nanogenerator

Yiping Deng, Lu Liao, Ying Wu, Gang Hu, Junjie Bai, Yuan Zhai, Guang Zhu

Research output: Chapter in Book/Conference proceedingConference contributionpeer-review

2 Citations (Scopus)

Abstract

People are increasingly dependent on intelligent electronic products. However, the vast majority of these intelligent electronic devices are highly dependent on external power supply. If there is no continuous power supply to the equipment for some unknown reasons, the equipment will not be able to work properly, or even will bring us some serious unpredictable consequences, which poses a new challenge to the endurance of electronic products. Here we report a smart door handle that can efficiently collect and utilize ambient energy to power itself. A Triboelectric Nanogenerator(TENG) is embedded in the door. When rotating the door handle, TENG can convert the mechanical energy to about 0.023W of electricity. At the same time, the internal circuit will send a single to identify the action of opening the door, and then the wireless receiver will make appropriate responses after receiving the signal. In this work, we designed a wireless transmission circuit to ensure that the transmitter and receiver can communicate in real time. Because TENG output power can't directly drive the load, we have designed two power management circuits to manage and optimize the output performance of TENG. The output characteristics of the two circuits were analyzed and compared respectively. Both methods can convert the original power supply to an electrical signal of approximately 5 V and a current of 3 mA, but the use of LTC3330 after the conversion of the voltage signal is more stable.

Original languageEnglish
Title of host publicationProceedings of 2017 IEEE 16th International Conference on Cognitive Informatics and Cognitive Computing, ICCI*CC 2017
EditorsYingxu Wang, Freddie Hamdy, Newton Howard, Lotfi A. Zadeh, Amir Hussain, Bernard Widrow
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages465-469
Number of pages5
ISBN (Electronic)9781538607701
DOIs
Publication statusPublished - 14 Nov 2017
Externally publishedYes
Event16th IEEE International Conference on Cognitive Informatics and Cognitive Computing, ICCI*CC 2017 - Oxford, United Kingdom
Duration: 26 Jul 201728 Jul 2017

Publication series

NameProceedings of 2017 IEEE 16th International Conference on Cognitive Informatics and Cognitive Computing, ICCI*CC 2017

Conference

Conference16th IEEE International Conference on Cognitive Informatics and Cognitive Computing, ICCI*CC 2017
Country/TerritoryUnited Kingdom
CityOxford
Period26/07/1728/07/17

Keywords

  • Self-powered system
  • intelligent control
  • internet of things
  • smart home
  • tribonanogenerator (TENG)

ASJC Scopus subject areas

  • Cognitive Neuroscience
  • Information Systems
  • Computer Science (miscellaneous)

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