Evidence map›Paper›PMID 42382276›Full record

ArticleIEEE circuits and systems magazine (New York, N.Y. : 2001)

State-of-the-Art Power Transfer Methods in Triboelectric Energy Harvesters.

Maryam Hosseini, Hosein Haghshenas, Emre Salman, Shahrzad Towfighian, Ryan Willing, Milutin Stanaćević

Abstract read
In one paragraph

Article in IEEE circuits and systems magazine (New York, N.Y. : 2001). The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Maryam HosseiniDepartment of Electrical and Computer Engineering, Stony Brook University (SUNY), Stony Brook, NY 11794 USA.
Hosein HaghshenasDepartment of Electrical and Computer Engineering, Stony Brook University (SUNY), Stony Brook, NY 11794 USA.
Emre SalmanDepartment of Electrical and Computer Engineering, Stony Brook University (SUNY), Stony Brook, NY 11794 USA.
Shahrzad TowfighianDepartment of Mechanical Engineering, Binghamton University, Binghamton, NY 13902 USA.
Ryan WillingDepartment of Mechanical and Materials Engineering, University of Western Ontario, London, ON N6A 3K7, Canada.
Milutin StanaćevićDepartment of Electrical and Computer Engineering, Stony Brook University (SUNY), Stony Brook, NY 11794 USA.

Funding

Self-Powered Load Sensors for Total Knee Replacement Health MonitoringR01AR080798 · NIAMS · STATE UNIVERSITY OF NY,BINGHAMTON · PI Shahrzad Towfighian · 2022 to 2026
$2.2M
NIAMS NIH HHS R01 AR080798
6 · The paper itself

Abstract

Triboelectric nanogenerators (TENGs) are attracting increasing attention as viable power sources for self-powered systems, due to advantages such as material and form-factor versatility, compatibility with low-frequency mechanical stimuli, and scalable, low-cost fabrication. Unlike conventional harvesters, TENGs exhibit two device-level characteristics that critically shape interface-circuit design: (i) a time-varying internal capacitance that induces a strongly dynamic source impedance, and (ii) a significantly high effective source impedance that yields very high open-circuit voltages at low currents. These characteristics directly affect impedance matching, rectification, voltage conversion, and maximum power point tracking (MPPT) strategies for maximum power transfer. While TENGs and piezoelectric energy harvesters (PEHs) share similar lumped electrical models, the time variance and voltage/current operating regime of TENGs fundamentally limit the portability of PEH-oriented power transfer methods. This paper provides two contributions. First, we introduce a figure-of-merit (FoM) that serves as an energy-extraction coefficient: the fraction of the ideal maximum power of the TENG device (under instantaneous impedance tracking) that appears at the rectifier input, typically the first stage of a power management unit (PMU). The FoM exposes losses arising from mismatch at the device-PMU boundary, thereby helping circuit designers localize dominant loss mechanisms (e.g., impedance mismatch, rectifier topology or suboptimal MPPT policies) and guiding device researchers to prioritize physical parameters (e.g., dielectric thickness, displacement, electrode area) with explicit awareness of interface constraints. Secondly, we conduct a thorough evaluation of the suitability of advanced PEH-derived methods, such as rectifiers (both passive and active configurations), DC-DC conversion, and MPPT, for application to TENGs. We derive theoretical upper bounds on extractable power for representative rectifier families under TENG-specific operating conditions, and we analyze technology-imposed voltage limits and their implications for architecture and control. We also survey recent TENG demonstrations together with their PMU interfaces and interpret reported performance through the proposed FoM. Overall, the analysis highlights that the unique characteristics of TENGs and technology limits for the voltages must be explicitly accounted for while developing interface circuits to realize maximum power extraction. This process can significantly benefit from coordinated device-circuit co-design via system-level metrics such as the proposed FoM.

Indexed as

energy harvestingfigure of merit (FoM)impedance matchingmaximum power point tracking (MPPT)power management unit (PMU)power transfer efficiencyrectifiersynchronized switched harvesting (SSH)Triboelectric nanogenerator (TENG)

Identifiers

PMID42382276
PMCPMC13317809

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.