journal article·2023-04Open access

On the frequency up-conversion mechanism due to a soft stopper by the example of an electrostatic kinetic energy harvester

Andrii Sokolov, Dimitri Galayko, Philippe Basset, Elena Blokhina

Abstract

Micro- and meso-scale electrostatic energy harvesting systems have high efficiency at the higher-frequency part of the spectrum due to the natural frequencies of micro-structures lying over a range from hundreds of hertz to megahertz. However, many real-life applications related, in particular, to wearable systems, structural monitoring, or the Internet of Things, are characterized by low-frequency environmental forces. The main goal of this letter is to demonstrate that the placement of a stopper that limits the motion of the proof mass and causes soft impacts in an electrostatic kinetic energy harvester is responsible for an effect known as frequency up-conversion. This means that there is a significant response to “non-resonant” frequencies away from the natural frequency of the structure leading to effective energy conversion to the electrical domain. The concept summarizing this effect is presented and modeled, and an experiment carried out on a microscopic electrostatic harvester is presented to prove the concept.
Source: crossref · Quality: baseline

Research context

OpenAlex topics: Innovative Energy Harvesting Technologies · Advanced Sensor and Energy Harvesting Materials · Advanced MEMS and NEMS Technologies

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

School of Electrical and Electronic Engineering, University College Dublin, Dublin, Ireland

CNRS, LIP6, Sorbonne Université, Paris, France

Centre for Nanoscience and Nanotechnology, Université Paris-Saclay – CNRS, Palaiseau, France

ESYCOM, Univ Gustave Eiffel, CNRS, CNAM, ESIEE Paris, Noisy-le-Grand, France

Funding

Science Foundation Ireland

References (23)

Show source-provided references
1. 10.1140/epjst/e2019-800211-810.1140/epjst/e2019-800211-8 ↗
2. Ahnert K, Mulansky M (2020) Boost numeric odeint. Available at: https://www.boost.org/doc/libs/1_73_0/libs/numeric/odeint/doc/html/index.html
3. 10.1002/978111900748710.1002/9781119007487 ↗
4. 10.1063/1.476400910.1063/1.4764009 ↗
5. 10.1016/j.ymssp.2018.04.04310.1016/j.ymssp.2018.04.043 ↗
6. 10.1016/j.enconman.2019.11226410.1016/j.enconman.2019.112264 ↗
7. 10.1016/j.jsv.2017.11.03610.1016/j.jsv.2017.11.036 ↗
8. 10.1063/1.336021910.1063/1.3360219 ↗
9. 10.1109/JSEN.2008.91712510.1109/JSEN.2008.917125 ↗
10. 10.1115/1.404666410.1115/1.4046664 ↗
11. 10.1088/1361-6439/abc31d10.1088/1361-6439/abc31d ↗
12. 10.1088/1361-6439/ab284d10.1088/1361-6439/ab284d ↗
13. 10.1007/s12541-020-00371-310.1007/s12541-020-00371-3 ↗
14. 10.1063/1.493758710.1063/1.4937587 ↗
15. 10.1088/0960-1317/26/12/12400410.1088/0960-1317/26/12/124004 ↗
16. 10.3390/s1704087710.3390/s17040877 ↗
17. 10.3390/s1904089010.3390/s19040890 ↗
18. 10.1109/TCSI.2015.245191310.1109/TCSI.2015.2451913 ↗
19. 10.3390/app1010361410.3390/app10103614 ↗
20. Vysotskyi B · 2018
21. 10.1088/1742-6596/757/1/01200710.1088/1742-6596/757/1/012007 ↗
22. 10.1016/j.apenergy.2017.12.05310.1016/j.apenergy.2017.12.053 ↗
23. 10.1109/JSEN.2010.205900710.1109/JSEN.2010.2059007 ↗