A wave structure triboelectric nanogenerator for race walking motion sensing
Zhi Wang, Wenying Gao
Abstract
Recently, triboelectric nanogenerators (TENGs) have made significant progress in energy harvesting and monitoring of human motion. In this work, we design a new wave structure triboelectric nanogenerator (WS-TENG) for mechanical energy harvesters and self-powered sensors. The WS-TENG consist of three parts: top plate, middle wave layer and bottom plate. By studying the middle wave layer with different shapes, we designed the optimal shape of the middle wave layer. The maximum output power of WS-TENG can reach 400.2 µW with a load of 10 MΩ. The WS-TENG can generate electricity in a curved state, and this feature can be used to monitor whether athletes break rules in the process of race walking. This design will promote the development of athlete monitoring system.