A linear-to-rotary hybrid nanogenerator for high-performance wearable biomechanical energy harvesting

By Cheng Yan, Yuyu Gao, Shenlong Zhao, Songlin Zhang, Yihao Zhou, Weili Deng, Liang Ziwei, Gang Jiang, Long Jin, Guo Tian and 7 more. 2020

195 citations recorded by the source corpus.

Abstract Harvesting biomechanical energy from low-frequency human body motions is a challenging but promising approach to powering the future wearables. Herein, we report a linear-to-rotary hybrid nanogenerator (LRH-NG) to effectively harvest low-frequency body biomechanical energy via a frequency enhancement strategy. Remarkably, the generated current and voltage by the LRH-NG from human body movement are respectively enhanced up to 3.1 times and 3.6 times of that at the basic frequency (2 Hz). Furthermore, the LRH-NG was demonstrated as an on-body electricity generator that can sustainably power a body area network with a temperature sensor and a humidity sensor for personalized health care. The designed LRH-NG may open up a new approach for high-performance low-frequency wearable biomechanical energy harvesting as a sustainable and pervasive energy solution in the era of the Internet of things.

Subfields: Biomedical Engineering, Electrical and Electronic Engineering, Mechanical Engineering

View Paper: https://www.semanticscholar.org/paper/43f71613f853da1cff170f1d60a60561ef8282dc

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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 Electrical and Electronic Engineering

  1. Xinge Guo
  2. Long Liu
  3. Qiongfeng Shi
  4. Chengkuo Lee

In Mechanical Engineering

  1. Xinge Guo
  2. Long Liu
  3. Qiongfeng Shi
  4. Philippe Vachon
  5. Feng Wen
  6. Yanqin Yang
  7. Jianxiong Zhu
  8. Bowei Dong

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