Ultrahigh Electricity Generation from Low-Frequency Mechanical Energy by Efficient Energy Management

By Zhao Wang, Wenlin Liu, Wencong He, Hengyu Guo, Li Long, Y. Xi, Xue Wang, Anping Liu, Chenguo Hu. 2021

226 citations recorded by the source corpus.

Summary An efficient energy-management strategy is critical for the energy utilization of triboelectric nanogenerators (TENGs), of which the switch and convertor are two key parts. However, common switches only withstand limited voltage (∼102 V), while the convertors for electrostatic energy are diversely designed without standard principles. Here, we report a simple, tunable auto-spark switch to achieve energy accumulation and fast release and develop a standard design procedure of matched transformer for electrostatic energy conversion. We establish an ultrahigh voltage (over 7.5 kV) energy-management system for TENG. Ultrahigh output charge of 660 μ C per cycle, pulsed power density of 11.13 kW m−2, and constant power density of 291 mW m−2 at 3 Hz are all achieved. With this energy-management unit, TENGs can continuously power a wireless sensors network at 1 Hz. This energy-management approach enables TENGs to present a breakthrough in practical applications.

Subfields: Biomedical Engineering, Mechanical Engineering, Polymers and Plastics

View Paper: https://www.semanticscholar.org/paper/9b0f1801808109d99d0b6db22a8a1a09682492eb

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Biomedical Engineering

  1. Xinge Guo
  2. Long Liu
  3. Chengkuo Lee

In Mechanical Engineering

  1. Xinge Guo
  2. Long Liu
  3. Chengkuo Lee

In Polymers and Plastics

  1. Long Liu
  2. Xinge Guo
  3. Chengkuo Lee

Citations in the corpus