能量收集
无线传感器网络
整流器(神经网络)
电压
电气工程
振动
能量(信号处理)
电源管理
功率(物理)
无线
能源消耗
最大功率转移定理
控制器(灌溉)
计算机科学
工程类
加速度
电子工程
电信
物理
声学
计算机网络
循环神经网络
农学
人工神经网络
量子力学
机器学习
经典力学
生物
随机神经网络
作者
Yanhui Han,Yue Feng,Zejie Yu,Wenzhong Lou,Huicong Liu
出处
期刊:IEEE Sensors Journal
[Institute of Electrical and Electronics Engineers]
日期:2017-10-15
卷期号:17 (20): 6770-6777
被引量:36
标识
DOI:10.1109/jsen.2017.2747122
摘要
Wireless sensor network (WSN) is an interestingly promising technology with many applications in intelligent environment-monitoring. Its energy consumption is, however, essentially challenged after it is deployed. In this paper, we developed a low-resonant-frequency piezoelectric energy harvesting device as an alternative to power WSN deployed in a weak vibration environment. An energy management module, equipped with a full-bridge rectifier (FBR), a fully self-powered voltage controller, and a logic-level protection circuit was designed to enable a regulated voltage to intermittently drive WSN for temperature monitoring. The power transfer efficiency of FBR reached 42%, presenting a good performance/cost ratio in the case of a relatively high open-circuit voltage of 8 V and a low rectified voltage of 3.3 V. The experimental results have demonstrated that the proposed WSN was successfully driven at an interval time of less than 1 min, and fully self-powered by the scavenged energy from the environmental vibration source of a 0.15-g acceleration and a 40-Hz vibration frequency.
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