Analysis and Experiment of Self‐Powered, Pulse‐Based Energy Harvester Using 400 V FEP‐Based Segmented Triboelectric Nanogenerators and 98.2% Tracking Efficient Power Management IC for Multi‐Functional IoT Applications

Abstract A self‐powered system for the Internet of Things (IoT) is demonstrated efficient energy harvesting naturally available mechanical energy. In this system, new contact‐separation mode triboelectric nanogenerators (TENGs), based on fluorinated ethylene propylene, are investigated using segmented multi‐TENG configuration to reduce effect parasitic capacitance. The TENG extraction optimized a unit step excitation involved with Dawson function achieve high voltage (400 V) and current (26.6 µA). To fully extract power TENGs, management integrated circuit (PMIC) specially designed adaptively controlled, high‐voltage (HV) maximum point tracking (MPPT) proposed. PMIC implemented in bipolar CMOS‐DMOS 180 nm process can handle wide input range (5–70 by consuming 420 nW. MPPT control allows impedance matching from 10 300 MΩ, achieving efficiency up 98.2%. end‐to‐end 88% demonstrates state‐of‐the‐art performance. supply higher instantaneous than that duty‐cycling technique successfully demonstrated. proposed provides promising approach realizing sustainable autonomous sources various IoT applications.