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Optimisation of a piezoelectric system for energy harvesting from traffic vibrations

Optimisation of a piezoelectric system for energy harvesting from traffic vibrations
Optimisation of a piezoelectric system for energy harvesting from traffic vibrations
Piezoelectric systems are viewed as a promising approach to energy harvesting from environmental vibrations. The energy harvested from real vibration sources is usually difficult to estimate analytically. Therefore, it is hard to optimise the associated energy harvesting system. This work investigates the optimisation of a piezoelectric cantilever system using a genetic algorithm based approach with numerical simulations. The genetic algorithm globally considers the effects of each parameter to produce an optimal frequency response to scavenge more energy from the real vibrations while the conventional sinusoidal based method can only optimise the resistive load for a given resonant frequency. Experimental acceleration data from the vibrations of a vehicle-excited manhole cover demonstrates that the optimised harvester automatically selects the right frequency and also synchronously optimises the damper and the resistive load. This method shows great potential for optimizing the energy harvesting systems with real vibration data.
759-862
Ye, Guoliang
5d090463-e3cb-4b94-ae7f-000a6d759e18
Yan, Jize
786dc090-843b-435d-adbe-1d35e8fc5828
Wong, Zi Jing
2c2703e2-789e-43f3-bbcd-b7a4bcb94ce5
Soga, Kenichi
e43028e3-af4d-4ea4-a747-6cc6dacc849b
Seshia, A Ashwin
674d2acc-6942-432d-9f32-e0d8fffcd36e
Ye, Guoliang
5d090463-e3cb-4b94-ae7f-000a6d759e18
Yan, Jize
786dc090-843b-435d-adbe-1d35e8fc5828
Wong, Zi Jing
2c2703e2-789e-43f3-bbcd-b7a4bcb94ce5
Soga, Kenichi
e43028e3-af4d-4ea4-a747-6cc6dacc849b
Seshia, A Ashwin
674d2acc-6942-432d-9f32-e0d8fffcd36e

Ye, Guoliang, Yan, Jize, Wong, Zi Jing, Soga, Kenichi and Seshia, A Ashwin (2009) Optimisation of a piezoelectric system for energy harvesting from traffic vibrations. 2009 IEEE International Ultrasonics Symposium, Italy. 20 - 23 Sep 2009. pp. 759-862 . (doi:10.1109/ULTSYM.2009.5441942).

Record type: Conference or Workshop Item (Paper)

Abstract

Piezoelectric systems are viewed as a promising approach to energy harvesting from environmental vibrations. The energy harvested from real vibration sources is usually difficult to estimate analytically. Therefore, it is hard to optimise the associated energy harvesting system. This work investigates the optimisation of a piezoelectric cantilever system using a genetic algorithm based approach with numerical simulations. The genetic algorithm globally considers the effects of each parameter to produce an optimal frequency response to scavenge more energy from the real vibrations while the conventional sinusoidal based method can only optimise the resistive load for a given resonant frequency. Experimental acceleration data from the vibrations of a vehicle-excited manhole cover demonstrates that the optimised harvester automatically selects the right frequency and also synchronously optimises the damper and the resistive load. This method shows great potential for optimizing the energy harvesting systems with real vibration data.

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e-pub ahead of print date: 2009
Venue - Dates: 2009 IEEE International Ultrasonics Symposium, Italy, 2009-09-20 - 2009-09-23
Organisations: Nanoelectronics and Nanotechnology

Identifiers

Local EPrints ID: 398828
URI: https://eprints.soton.ac.uk/id/eprint/398828
PURE UUID: 43f541cf-4d4e-4e0e-b832-50232969a2e3
ORCID for Jize Yan: ORCID iD orcid.org/0000-0002-2886-2847

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Date deposited: 03 Aug 2016 11:13
Last modified: 20 Jul 2019 00:34

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Contributors

Author: Guoliang Ye
Author: Jize Yan ORCID iD
Author: Zi Jing Wong
Author: Kenichi Soga
Author: A Ashwin Seshia

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