On the Optimal Choice of Electrical Conditioning Circuits for Triboelectric Nanogenerators

This work presents a generic procedure for the optimal choice of an unstable charge pump (UCP) circuit topology for electrostatic kinetic energy harvesters (e-KEH) biased by a triboelectric material, also known as a triboelectric nanogenerators (TENGs). Each UCP can be characterized by the ratio $\gamma$ that it imposes between the maximum and minimum voltage across the transducer, in every cycle of its steady-state operation. The value of $\gamma$ depends on the detailed topology of each UCP. The triboelectric transducer, on the other hand is characterized by (i) the variation ratio $\eta$ between its dynamic capacitance maximum and minimum values under mechanical actuation and (ii) its DC bias $V_{\text{TE}}$ which models the triboelectric effect. The analysis done in this paper leads to the optimal $\gamma$ as a function of the transducer parameters $\eta, V_{\text{TE}}$, and as a function of the parasitic capacitance brought by the conditioning circuit or by the setup. As such, this work presents a systematic procedure to select the UCP topology maximizing the converted power for a variety of triboelectric systems. In particular, this procedure shows which of the low capacitance variation rectifier (LCVR) or of the cascade Bennet doubler rectifier (CBDR), two popular conditioning circuit topologies for e-KEH, is optimal for any given triboelectric transducer.

Authors

Institutions

Publication Details

Published
2024-11-18
DOI
https://doi.org/10.1109/powermems63147.2024.10814134
Primary Topic
Advanced Sensor and Energy Harvesting Materials
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

On the Optimal Choice of Electrical Conditioning Circuits for Triboelectric Nanogenerators

Ahmad Delbani, Dimitri Galayko, Delaram Haghighitalab, Philippe Basset et al.
Advanced Sensor and Energy Harvesting Materials
article

On the Optimal Choice of Electrical Conditioning Circuits for Triboelectric Nanogenerators

Ahmad Delbani, Dimitri Galayko, Delaram Haghighitalab, Philippe Basset, Armine Karami, Hachem. Mortada
article en

Abstract

This work presents a generic procedure for the optimal choice of an unstable charge pump (UCP) circuit topology for electrostatic kinetic energy harvesters (e-KEH) biased by a triboelectric material, also known as a triboelectric nanogenerators (TENGs). Each UCP can be characterized by the ratio $\gamma$ that it imposes between the maximum and minimum voltage across the transducer, in every cycle of its steady-state operation. The value of $\gamma$ depends on the detailed topology of each UCP. The triboelectric transducer, on the other hand is characterized by (i) the variation ratio $\eta$ between its dynamic capacitance maximum and minimum values under mechanical actuation and (ii) its DC bias $V_{\text{TE}}$ which models the triboelectric effect. The analysis done in this paper leads to the optimal $\gamma$ as a function of the transducer parameters $\eta, V_{\text{TE}}$, and as a function of the parasitic capacitance brought by the conditioning circuit or by the setup. As such, this work presents a systematic procedure to select the UCP topology maximizing the converted power for a variety of triboelectric systems. In particular, this procedure shows which of the low capacitance variation rectifier (LCVR) or of the cascade Bennet doubler rectifier (CBDR), two popular conditioning circuit topologies for e-KEH, is optimal for any given triboelectric transducer.

Centre National de la Recherche Scientifique (FR), Sorbonne Université (FR), Université Gustave Eiffel (FR), LIP6 (FR), Laboratoire d'électronique, systèmes de communication et microsystèmes (FR)
European Commission, HORIZON EUROPE Framework Programme
Affordable and clean energy
Openalex Percentile: Top 77%
Advanced Sensor and Energy Harvesting Materials
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

On the Optimal Choice of Electrical Conditioning Circuits for Triboelectric Nanogenerators — Ahmad Delbani, Dimitri Galayko, et al. · (2024) | TGRS Research Map | TGRS