背包
整流器(神经网络)
有效载荷(计算)
能量收集
功率(物理)
转子(电动)
工程类
汽车工程
计算机科学
电气工程
物理
结构工程
计算机网络
随机神经网络
量子力学
机器学习
网络数据包
循环神经网络
人工神经网络
作者
Kangqi Fan,Pengwei Xia,Rongchun Li,Jiyuan Guo,Qinxue Tan,Danmei Wei
标识
DOI:10.1016/j.enconman.2022.115731
摘要
This paper reports a fundamentally different strategy for realizing high-performance energy harvesting backpacks to effectively scavenge ultralow-frequency human body motions. The proposed backpack strategy is based on an innovative flexible mechanical motion rectifier (MMR) that consists of an inelastic strap, an elastic strap, a shaft with a double-layered plectrum, and a rotor. The flexible MMR first converts the human motion induced vibrations to the alternating spin of a shaft, and then enables the mono-directional spin of a rotor by a shaft through the stiffness self-adaptive plectrum. To examine the feasibility of the proposed strategy, an energy harvesting backpack was constructed with an array of the flexible MMR-based harvesters, and an electromechanical model of the backpack was also established and verified. Both simulations and experiments reveal the high output power of the backpack under various human travel velocities. Experiments show that, under a running velocity of 9 km/h, the backpack with a small payload of 3.6 kg can deliver high output power of 1.284 W. Under a walking velocity of 6 km/h, the electric energy generated by only one harvester of the backpack with a payload of 1.7 kg is sufficiently large for charging both a smart bracelet and a smart phone. This study demonstrates the feasibility of achieving high-performance energy harvesting backpacks with the flexible MMR for portable and wearable electronics.
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