最大功率点跟踪
能量收集
整流器(神经网络)
占空比
电子工程
最大功率原理
电压
功率(物理)
电气工程
发电
工程类
精密整流器
整改
CMOS芯片
功率半导体器件
计算机科学
控制理论(社会学)
能量(信号处理)
能量转换效率
光伏系统
能量转换
功率因数
电力电子
升压变换器
电容器
低压
电势能
作者
Xinling Yue,Yiwei Zou,Sijun Du
标识
DOI:10.1109/tpel.2025.3616400
摘要
Piezoelectric energy harvesting (PEH) efficiently converts ambient kinetic energy into electrical power, enabling sustainable and autonomous operation of low-power electronic devices. To optimize power extraction, maximum power point tracking (MPPT) methods are commonly employed. Conventional MPPT approaches, such as perturb-and-observe (P&O) and fractional open-circuit voltage (FOCV), typically rely on incremental power measurements or theoretical voltage estimations, but suffer from high power overhead, slow convergence, and circuit complexity. Duty-cycle-based (DCB) MPPT techniques partly overcome these limitations by regulating the rectifier's duty cycle at 50%, yet they still require a dedicated MPPT stage and large external capacitors, causing additional power loss and delayed convergence. To address these challenges, this paper presents a self-regulating bias-flip rectifier that inherently integrates rectification and MPPT into a single stage, eliminating cascaded energy losses and enabling rapid convergence to the maximum power point. Fabricated in a 0.18-μm CMOS process, the proposed rectifier achieves an end-to-end efficiency of 93%, MPPT efficiency of 98%, and provides a 7.7-fold improvement in energy extraction compared to conventional full-bridge rectifiers.
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