Roudneshin, M.
, Sayrafian, K.
and Aghdam, A.
(2022),
An Asymmetric Adaptive Approach to Enhance Output Power in Kinetic-Based Microgenerators, 2022 IEEE Sensors, Dallas, TX, US, [online], https://doi.org/10.1109/SENSORS52175.2022.9967112, https://tsapps.nist.gov/publication/get_pdf.cfm?pub_id=935341
(Accessed December 26, 2024)
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An Asymmetric Adaptive Approach to Enhance Output Power in Kinetic-Based Microgenerators
Published
Author(s)
Masoud Roudneshin, , Amir Aghdam
Abstract
A Coulomb force parametric generator (CFPG) can be used to harvest energy from the natural human body motion. This micro-harvester is the architecture of choice for integration with small wearable (or implantable) sensors. In this paper, an asymmetric adaptive approach to estimate the electrostatic force in a CFPG using the acceleration waveform is proposed. Simulations using human motion measurements show that the proposed approach achieves considerable gain in the harvested energy compared to the previously studied symmetric adaptive methodologies.Conference Dates
October 31-November 2, 2022
Conference Location
Dallas, TX, US
Conference Title
2022 IEEE Sensors
Pub Type
Conferences
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Created December 8, 2022, Updated March 28, 2024