A triboelectric nanogenerator energy harvesting system based on load-aware control for input power from 2.4 μW to 15.6 μW

Karim Rawy, Ruchi Sharma, Hong Joon Yoon, Usman Khan, Sang Woo Kim, Tony Tae Hyoung Kim

Research output: Contribution to journalArticlepeer-review

Abstract

This paper presents a triboelectric nanogenerator (TENG) energy harvesting system for ultra-low power applications. We propose a load-aware control algorithm to improve the power conversion efficiency as well as the voltage conversion efficiency. The control algorithm minimizes the conduction and switching losses within a switched capacitor charge pump (SCCP) by modulating its switching frequency based on the load condition. Furthermore, a hysteresis input regulation control was developed for preventing breakdown. The overall system was optimized by utilizing a compact spice model from the physical mechanisms of the employed TENG. The fabricated test chip in 65-nm process technology provides a regulated output voltage of 1.2 V with power conversion efficiency of 88% at 30 Hz excitation frequency when the TENG output voltage is 2.5 V.

Original languageEnglish
Article number104839
JournalNano Energy
Volume74
DOIs
Publication statusPublished - 2020 Aug

Bibliographical note

Funding Information:
This work was supported by the Singapore International Graduate Award and Ministry of Education, Singapore , under grant AcRF TIER 1- 2018-T1-002-105 ( RG174/18 (S) ).

Publisher Copyright:
© 2020 Elsevier Ltd

All Science Journal Classification (ASJC) codes

  • Renewable Energy, Sustainability and the Environment
  • Materials Science(all)
  • Electrical and Electronic Engineering

Fingerprint

Dive into the research topics of 'A triboelectric nanogenerator energy harvesting system based on load-aware control for input power from 2.4 μW to 15.6 μW'. Together they form a unique fingerprint.

Cite this