电容器
整流器(神经网络)
能量收集
能量(信号处理)
算法
拓扑(电路)
功率(物理)
电气工程
电压
计算机科学
数学
物理
工程类
人工智能
量子力学
统计
循环神经网络
随机神经网络
人工神经网络
作者
Zhen Li,Jing Wang,Man Kay Law,Sijun Du,Junrui Liang,Xu Cheng,Jun Shu Han,Xiaoyang Zeng,Zhiyuan Chen
出处
期刊:IEEE Journal of Solid-state Circuits
[Institute of Electrical and Electronics Engineers]
日期:2023-12-19
卷期号:59 (7): 2248-2259
被引量:27
标识
DOI:10.1109/jssc.2023.3341865
摘要
This article proposes a novel eight-phase self-bias-flip piezoelectric energy harvesting interface with charge recycling and reusing (SBFRR) and a switched-piezoelectric energy harvester (PEH) dc–dc (SPDC) converter. The proposed scheme innovatively utilizes the inherent capacitors ($C_P$) of four PEHs as energy sources, flying capacitors, and flipping capacitors for time-sharing reuse to achieve both a high-voltage flipping and dc–dc conversion efficiency, while avoiding the use of extra energy reservoirs. The design is fully integrated and fabricated in standard 0.18-$\mu$m CMOS. Measurement result demonstrates that the voltage flipping efficiency of up to 80% is achieved. Compared with the ideal full-bridge rectifier (FBR), the measured maximum output power improving rate (MOPIR) can be increased to 4.88$\times$. In addition, with the four$C_P$serving as flying capacitors to achieve SPDC conversion for maximum power point track (MPPT), an MOPIR of$>$3.5$\times$can be maintained with a PEH input voltage from 0.78 to 4.9 V.
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