The University of Southampton
University of Southampton Institutional Repository

Real world assessment of an auto-parametric electromagnetic vibration energy harvester

Real world assessment of an auto-parametric electromagnetic vibration energy harvester
Real world assessment of an auto-parametric electromagnetic vibration energy harvester

The convention within the field of vibration energy harvesting has revolved around designing resonators with natural frequencies that match single fixed frequency sinusoidal input. However, real world vibrations can be random, multi-frequency, broadband and time-varying in nature. Building upon previous work on auto-parametric resonance, this fundamentally different resonant approach can harness vibration from multiple axes and has the potential to achieve higher power density as well as wider frequency bandwidth. This article presents the power response of a packaged auto-parametric VEH prototype (practical operational volume of ∼126 cm−3) towards various real world vibration sources including vibration of a bridge, a compressor motor as well as an automobile. At auto-parametric resonance (driven at 23.5 Hz and 1 grms), the prototype can output a peak of 78.9 mW and 4.5 Hz of −3dB bandwidth. Furthermore, up to ∼1 mW of average power output was observed from the harvester on the Forth Road Bridge. The harvested electrical energy from various real world sources were used to power up a power conditioning circuit, a wireless sensor mote, a micro-electromechanical system accelerometer and other low-power sensors. This demonstrates the concept of self-sustaining vibration powered wireless sensor systems in real world scenarios, to potentially realise maintenance-free autonomous structural health and condition monitoring.

automobile, bridge, compressor, Electromagnetic, parametric resonance, real vibration data, vibration energy harvesting
1045-389X
1481-1499
Jia, Yu
d8ac25b5-adcb-4e93-9d59-ea78ce928584
Yan, Jize
786dc090-843b-435d-adbe-1d35e8fc5828
Du, Sijun
817c2400-1dad-4923-ac50-2380454efcb7
Feng, Tao
740e436e-5d91-4332-a2d7-eb29a1c5ed86
Fidler, Paul
bea121cc-e8ba-4dca-bac6-f3431f5b46c7
Middleton, Campbell
e86e272f-4985-429c-8b61-043a9686c77b
Soga, Kenichi
e43028e3-af4d-4ea4-a747-6cc6dacc849b
Seshia, Ashwin A.
4389f1ed-603a-4fed-9ceb-6279102b0fad
Jia, Yu
d8ac25b5-adcb-4e93-9d59-ea78ce928584
Yan, Jize
786dc090-843b-435d-adbe-1d35e8fc5828
Du, Sijun
817c2400-1dad-4923-ac50-2380454efcb7
Feng, Tao
740e436e-5d91-4332-a2d7-eb29a1c5ed86
Fidler, Paul
bea121cc-e8ba-4dca-bac6-f3431f5b46c7
Middleton, Campbell
e86e272f-4985-429c-8b61-043a9686c77b
Soga, Kenichi
e43028e3-af4d-4ea4-a747-6cc6dacc849b
Seshia, Ashwin A.
4389f1ed-603a-4fed-9ceb-6279102b0fad

Jia, Yu, Yan, Jize, Du, Sijun, Feng, Tao, Fidler, Paul, Middleton, Campbell, Soga, Kenichi and Seshia, Ashwin A. (2018) Real world assessment of an auto-parametric electromagnetic vibration energy harvester. Journal of Intelligent Material Systems and Structures, 29 (7), 1481-1499. (doi:10.1177/1045389X17740964).

Record type: Article

Abstract

The convention within the field of vibration energy harvesting has revolved around designing resonators with natural frequencies that match single fixed frequency sinusoidal input. However, real world vibrations can be random, multi-frequency, broadband and time-varying in nature. Building upon previous work on auto-parametric resonance, this fundamentally different resonant approach can harness vibration from multiple axes and has the potential to achieve higher power density as well as wider frequency bandwidth. This article presents the power response of a packaged auto-parametric VEH prototype (practical operational volume of ∼126 cm−3) towards various real world vibration sources including vibration of a bridge, a compressor motor as well as an automobile. At auto-parametric resonance (driven at 23.5 Hz and 1 grms), the prototype can output a peak of 78.9 mW and 4.5 Hz of −3dB bandwidth. Furthermore, up to ∼1 mW of average power output was observed from the harvester on the Forth Road Bridge. The harvested electrical energy from various real world sources were used to power up a power conditioning circuit, a wireless sensor mote, a micro-electromechanical system accelerometer and other low-power sensors. This demonstrates the concept of self-sustaining vibration powered wireless sensor systems in real world scenarios, to potentially realise maintenance-free autonomous structural health and condition monitoring.

This record has no associated files available for download.

More information

e-pub ahead of print date: 15 November 2017
Published date: 1 April 2018
Keywords: automobile, bridge, compressor, Electromagnetic, parametric resonance, real vibration data, vibration energy harvesting

Identifiers

Local EPrints ID: 421133
URI: http://eprints.soton.ac.uk/id/eprint/421133
ISSN: 1045-389X
PURE UUID: 07e6cf62-657e-4c06-967d-fe2686661019
ORCID for Jize Yan: ORCID iD orcid.org/0000-0002-2886-2847

Catalogue record

Date deposited: 23 May 2018 16:30
Last modified: 06 Jun 2024 01:54

Export record

Altmetrics

Contributors

Author: Yu Jia
Author: Jize Yan ORCID iD
Author: Sijun Du
Author: Tao Feng
Author: Paul Fidler
Author: Campbell Middleton
Author: Kenichi Soga
Author: Ashwin A. Seshia

Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton: eprints@soton.ac.uk

ePrints Soton supports OAI 2.0 with a base URL of http://eprints.soton.ac.uk/cgi/oai2

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.

×