Self-driven power management system for triboelectric nanogenerators

By W. Harmon, David Bamgboje, Hengyu Guo, Tingshu Hu, Zhong Lin Wang. 2020

183 citations recorded by the source corpus.

Abstract This paper presents a fully functional power management system for triboelectric nanogenerators (TENGs) with the TENG as the only power source. TENG was developed for the objective to provide power to electronic devices and sensors without the need for a battery (the so-called self-powered systems). A unique feature of the TENG's electrical output is high pulsed voltage but low current capability, making TENGs unsuitable for direct use as a power source. To provide continuous and steady electrical voltage for conventional electronics, a power management system (PMS) is required. Existing PMS′ based on power electronic converters do not provide a complete solution due to the use of additional power sources for the logic circuit and switch drivers. The PMS to be reported in this work provides a complete solution for a self-powered system with the TENG as the only power source. This goal is accomplished with a novel approach of employing discrete semiconductor devices, including a silicon-controlled rectifier (SCR) and zener diodes, for controlling the power flow paths, without using any integrated circuit. The effectiveness of the newly developed PMS has been experimentally validated with a prototype and a contact and separation mode TENG device.

Subfields: Biomedical Engineering, Cognitive Neuroscience, Polymers and Plastics

View Paper: https://www.semanticscholar.org/paper/7866c8d45fbe759ec9fab7ce7251bf9a972ef81e

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In Biomedical Engineering

  1. Xinge Guo
  2. Chengkuo Lee
  3. Long Liu
  4. Tianyiyi He
  5. Feng Wen
  6. Qiongfeng Shi
  7. Bowei Dong
  8. Jianxiong Zhu

In Cognitive Neuroscience

  1. Chengkuo Lee
  2. Xinge Guo
  3. Long Liu
  4. Tianyiyi He
  5. Feng Wen
  6. Qiongfeng Shi
  7. Jianxiong Zhu
  8. Bowei Dong

In Polymers and Plastics

  1. Chengkuo Lee
  2. Xinge Guo
  3. Long Liu
  4. Tianyiyi He
  5. Qiongfeng Shi
  6. Feng Wen
  7. Philippe Vachon
  8. Yanqin Yang

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