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An electromechanical model of ferroelectret for energy harvesting

An electromechanical model of ferroelectret for energy harvesting
An electromechanical model of ferroelectret for energy harvesting
Ferroelectret is a cellular polymer foam that is able to convert compressive and bending forces into electrical signals, which 10 can be used for both sensing and energy harvesting. In the past several research groups have proposed theoretical models that 11 relate the output voltage of the ferroelectret to its mechanical deformation. This is particularly useful for sensing applications 12 where the signal-to-noise ratio is important. However, for energy harvesting applications, a theoretical model needs to include 13 both the voltage across a resistive load and the duration of the electrical signal as energy is an integral of power over time. In 14 this work, we propose a theoretical model that explains the behaviour of a ferroelectret when used as an energy harvester. This 15 model can be used to predict the energy output of a ferroelectret by knowing its parameters, and therefore optimize the harvester 16 design for specific energy harvesting application.
1-7
Luo, Z.
eb242e50-a73e-474f-809f-4924cfed68c2
Zhu, D.
ec52eae1-39fa-427c-968b-e76089a464a6
Beeby, S.
ba565001-2812-4300-89f1-fe5a437ecb0d
Luo, Z.
eb242e50-a73e-474f-809f-4924cfed68c2
Zhu, D.
ec52eae1-39fa-427c-968b-e76089a464a6
Beeby, S.
ba565001-2812-4300-89f1-fe5a437ecb0d

Luo, Z., Zhu, D. and Beeby, S. (2016) An electromechanical model of ferroelectret for energy harvesting. Smart Materials and Structures, 25 (45010), 1-7. (doi:10.1088/0964-1726/25/4/045010).

Record type: Article

Abstract

Ferroelectret is a cellular polymer foam that is able to convert compressive and bending forces into electrical signals, which 10 can be used for both sensing and energy harvesting. In the past several research groups have proposed theoretical models that 11 relate the output voltage of the ferroelectret to its mechanical deformation. This is particularly useful for sensing applications 12 where the signal-to-noise ratio is important. However, for energy harvesting applications, a theoretical model needs to include 13 both the voltage across a resistive load and the duration of the electrical signal as energy is an integral of power over time. In 14 this work, we propose a theoretical model that explains the behaviour of a ferroelectret when used as an energy harvester. This 15 model can be used to predict the energy output of a ferroelectret by knowing its parameters, and therefore optimize the harvester 16 design for specific energy harvesting application.

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Accepted/In Press date: 9 February 2016
Published date: 14 March 2016
Organisations: Electronics & Computer Science

Identifiers

Local EPrints ID: 387206
URI: https://eprints.soton.ac.uk/id/eprint/387206
PURE UUID: c736606b-bcd8-45bc-86f3-a5f125b81136
ORCID for S. Beeby: ORCID iD orcid.org/0000-0002-0800-1759

Catalogue record

Date deposited: 15 Feb 2016 10:11
Last modified: 06 Jun 2018 13:07

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