Synchronous Inductor Switched Energy Extraction Circuits for Triboelectric Nanogenerator

TL;DR

This paper analyzes synchronous inductor switched energy extraction circuits for triboelectric nanogenerators, providing analytical models, optimal load conditions, and experimental validation to enhance energy harvesting efficiency.

Contribution

It introduces a comprehensive analytical framework for P-SSHI and S-SSHI circuits, comparing them with FWR, and derives optimal load conditions for maximum energy transfer.

Findings

P-SSHI and S-SSHI outperform FWR in energy delivery.

Optimal load values maximize energy transfer.

Analytical results match simulations and experiments.

Abstract

Triboelectric nanogenerator (TENG), a class of mechanical to electrical energy transducers, has emerged as a promising solution to self-power Internet of Things (IoT) sensors, wearable electronics, etc. The use of synchronous switched energy extraction circuits (EECs) as an interface between TENG and battery load can deliver multi-fold energy gain over simple minded Full Wave Rectification (FWR). This paper presents a detailed analysis of Parallel and Series Synchronous Switched Harvesting on Inductor (P-SSHI and S-SSHI) EECs to derive the energy delivered to the battery load and compare it with the standard FWR (a 3rd circuit) in a common analytical framework, under both realistic conditions, and also ideal conditions. Further, the optimal value of battery load to maximize output and upper bound beyond which charging is not feasible are derived for all the three considered circuits. These closed-form results derived with general TENG electrical parameters and first-order circuit non-idealities shed light on the physics of the modeling and guide the choice and design of EECs for any given TENG. The derived analytical results are verified against PSpice based simulation results as well as the experimentally measured values.