A Triboelectric Nanogenerator Interface Circuit for Applied Force Sensing

We propose a peak detection and frequency measurement circuit for integration at interface with a triboelectric nanogenerator (TENG). By measuring the frequency and the peak voltage at the output of TENG, the applied force is predicted. We propose a sample and hold peak detector circuit with a reset signal for continues peak detection. The control logic also generates a trigger signal for analog to digital conversion of the peak voltage to the digital domain. At the same time, the frequency is recorded by counting the number of peaks in a defined time period. The circuit simulations in 180 nm CMOS technology demonstrate peak conversion with 8-bit resolution in a 1 V voltage range with 500 nW power consumption. The proposed design is amenable for integration in a self-powered load sensing system in smart knee implant after total knee replacement(TKR) surgery.

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Publication Details

Published
2024-08-11
DOI
https://doi.org/10.1109/mwscas60917.2024.10658808
Citations
2
Primary Topic
Advanced Sensor and Energy Harvesting Materials
Type
article
Field-Weighted Citation Impact
0.37
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article

A Triboelectric Nanogenerator Interface Circuit for Applied Force Sensing

Shahrzad Towfighian, Ryan Willing, Milutin Stanaćević, Emre Salman et al.
2 citations
Advanced Sensor and Energy Harvesting Materials
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article

A Triboelectric Nanogenerator Interface Circuit for Applied Force Sensing

Shahrzad Towfighian, Ryan Willing, Milutin Stanaćević, Emre Salman, Hosein Haghshenas
article en
2 citations

Abstract

We propose a peak detection and frequency measurement circuit for integration at interface with a triboelectric nanogenerator (TENG). By measuring the frequency and the peak voltage at the output of TENG, the applied force is predicted. We propose a sample and hold peak detector circuit with a reset signal for continues peak detection. The control logic also generates a trigger signal for analog to digital conversion of the peak voltage to the digital domain. At the same time, the frequency is recorded by counting the number of peaks in a defined time period. The circuit simulations in 180 nm CMOS technology demonstrate peak conversion with 8-bit resolution in a 1 V voltage range with 500 nW power consumption. The proposed design is amenable for integration in a self-powered load sensing system in smart knee implant after total knee replacement(TKR) surgery.

Binghamton University (US), Western University (CA), Stony Brook University (US)
Affordable and clean energy
Openalex Percentile: Top 43%
Advanced Sensor and Energy Harvesting Materials
0.37
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