Energy Harvesting Circuit Design and Performance Analysis of TENG for Fall Detection

Chao Wang, Gang Yang,Lifang Wang

2023 International Conference on Microwave and Millimeter Wave Technology (ICMMT)(2023)

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Abstract
In order to address the issue of frequent power changes and charging of wearable devices in human fall detection, a self-powered fall detection system based on a triboelectric nanogenerator (TENG) has been designed. The self-powered system consists of a triboelectric nanogenerator and an energy management circuit that converts human movement energy into electrical energy. The TENG is used to collect energy from the human body, and an energy management circuit based on the LTC3588 chip is designed for voltage conversion. The article simulates and tests the output performance of the TENG and the energy management circuit and verifies the performance of the overall system. The results show that the TENG designed using the extended Maxwell's system of equations displacement current theory collects human motion energy, and after voltage conversion by an energy management circuit is able to achieve a 3.3V regulated output, which can meet the power supply requirements of the fall detection system designed using the accelerometer.
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Key words
electrical energy,energy harvesting circuit design,energy management circuit,frequent power changes,human fall detection,human motion energy,human movement energy,self-powered fall detection system,self-powered system,TENG,triboelectric nanogenerator,voltage 3.3 V
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