Back to Research
A human locomotion inspired hybrid nanogenerator for wrist-wearable electronic device and sensor applications
2018
Journal Article

A human locomotion inspired hybrid nanogenerator for wrist-wearable electronic device and sensor applications

Pukar Maharjan, R. M. Toyabur, Jae Yeong Park
Nano Energy
Abstract

To reduce battery dependency in wearable IoT devices, this work demonstrates a novel curve-shaped wearable hybridized electromagnetic-triboelectric nanogenerator (WHEM-TENG). This fully-enclosed, light-weight harvester is driven by low-frequency human motion, incorporating the arm's swinging behavior and a freestanding rolling magnetic ball. The device was fabricated using cost-effective 3D-printing.

Key Contributions
  • Development of a novel wearable hybridized electromagnetic-triboelectric nanogenerator (WHEM-TENG).
  • Design inspired by human arm swinging motion during locomotion.
  • Use of 3D-printing for fast, easy, and cost-effective fabrication.
  • Demonstrated capability to power a commercial electric wristwatch and a self-powered heart-rate sensor.
Methodology

The harvester was designed using simulations of magnetic flux density and triboelectric surface potential. It was then fabricated using 3D-printing, with the printing material itself serving as a triboelectric layer. The device's performance was tested by measuring the power output of both the electromagnetic generator (EMG) and triboelectric nanogenerator (TENG) components under simulated walking and running frequencies.

Results & Impact

At low frequencies, the EMG and TENG delivered peak power densities of 5.14 mW/cm³ and 0.22 µW/cm³, respectively. The WHEM-TENG powered a commercial wristwatch continuously for 410 seconds after only 5 seconds of running activity. A self-powered heart-rate sensor was also successfully demonstrated.

Publication Details
Journal:

Nano Energy

Year:

2018

Type:

Journal Article

DOI:

10.1016/j.nanoen.2018.02.033

Keywords
Hybrid Nanogenerator
Wearable Energy Harvester
Electromagnetic
Triboelectric
3D-Printing
Self-Powered Sensors
Human Locomotion