@inproceedings{23a49c6af0114f80bb836517ae4e8d93,
title = "Double Pendulum-Based Nonlinear Rotational Energy Harvesting from Low-Frequency Human Motion for Self-Powered Sensing",
abstract = "This paper presents a double-pendulum-based energy harvesting device to collect energy from random low-frequency human movements. The collected energy is converted into electrical power through electromagnetic induction for self-powered wearable devices. A theoretical model is established to study to nonlinear behaviours of the proposed harvester. It exhibits drastic output responses under low-frequency random excitation similar to human motion. A miniaturized prototype was fabricated and evaluated experimentally under different frequencies and electrical loads. This harvester can achieve a maximum output power of 4.75 mW with a single coil, and the max open-circuit voltage can reach up to 6.24 V, illustrating its promising potential for self-powered sensing from human motion.",
keywords = "double pendulum, Energy harvesting, human motion, nonlinear dynamics, self-power sensing",
author = "Ziyu Wang and Ze Wei and Haopeng Xie and Hailing Fu and Chrysochoidis, \{Nikolaos A.\} and Fang Deng",
note = "Publisher Copyright: {\textcopyright} 2024 IEEE.; 23rd IEEE International Conference on Micro and Miniature Power Systems, Self-Powered Sensors and Energy Autonomous Devices, PowerMEMS 2024 ; Conference date: 18-11-2024 Through 21-11-2024",
year = "2024",
doi = "10.1109/PowerMEMS63147.2024.10814482",
language = "English",
series = "2024 IEEE 23rd International Conference on Micro and Miniature Power Systems, Self-Powered Sensors and Energy Autonomous Devices, PowerMEMS 2024",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "191--194",
booktitle = "2024 IEEE 23rd International Conference on Micro and Miniature Power Systems, Self-Powered Sensors and Energy Autonomous Devices, PowerMEMS 2024",
address = "United States",
}