The University of Southampton
University of Southampton Institutional Repository

An Integrated Approach to Energy Harvester Modeling and Performance Optimization

An Integrated Approach to Energy Harvester Modeling and Performance Optimization
An Integrated Approach to Energy Harvester Modeling and Performance Optimization
This paper proposes an integrated approach to energy harvester (EH) modeling and performance optimization where the complete mixed physical-domain EH (micro generator, voltage booster, storage element and load) can be modeled and optimized. We show that electrical equivalent models of the micro generator are inadequate for accurate prediction of the voltage booster’s performance. Through the use of hardware description language (HDL) we demonstrate that modeling the micro generator with analytical equations in the mechanical and magnetic domains provide an accurate model which has been validated in practice. Another key feature of the integrated approach is that it facilitates the incorporation of performance enhanced optimization, which as will be demonstrated is necessary due to the mechanicalelectrical interactions of an EH. A case study of a state-of-the-art vibration-based electromagnetic EH has been presented. We show that performance optimization can increase the energy harvesting rate by about 40%.
121-125
Wang, Leran
91d2f4ca-ed47-4e47-adff-70fef3874564
Kazmierski, Tom
a97d7958-40c3-413f-924d-84545216092a
Al-Hashimi, Bashir
0b29c671-a6d2-459c-af68-c4614dce3b5d
Beeby, Steve
ba565001-2812-4300-89f1-fe5a437ecb0d
Torah, Russel
7147b47b-db01-4124-95dc-90d6a9842688
Wang, Leran
91d2f4ca-ed47-4e47-adff-70fef3874564
Kazmierski, Tom
a97d7958-40c3-413f-924d-84545216092a
Al-Hashimi, Bashir
0b29c671-a6d2-459c-af68-c4614dce3b5d
Beeby, Steve
ba565001-2812-4300-89f1-fe5a437ecb0d
Torah, Russel
7147b47b-db01-4124-95dc-90d6a9842688

Wang, Leran, Kazmierski, Tom, Al-Hashimi, Bashir, Beeby, Steve and Torah, Russel (2007) An Integrated Approach to Energy Harvester Modeling and Performance Optimization At IEEE Behavioral Modeling and Simulation Conference (BMAS 2007), United States. 20 - 21 Sep 2007. , pp. 121-125.

Record type: Conference or Workshop Item (Other)

Abstract

This paper proposes an integrated approach to energy harvester (EH) modeling and performance optimization where the complete mixed physical-domain EH (micro generator, voltage booster, storage element and load) can be modeled and optimized. We show that electrical equivalent models of the micro generator are inadequate for accurate prediction of the voltage booster’s performance. Through the use of hardware description language (HDL) we demonstrate that modeling the micro generator with analytical equations in the mechanical and magnetic domains provide an accurate model which has been validated in practice. Another key feature of the integrated approach is that it facilitates the incorporation of performance enhanced optimization, which as will be demonstrated is necessary due to the mechanicalelectrical interactions of an EH. A case study of a state-of-the-art vibration-based electromagnetic EH has been presented. We show that performance optimization can increase the energy harvesting rate by about 40%.

PDF BMAS07-No41.pdf - Other
Download (786kB)

More information

Published date: 2007
Additional Information: Event Dates: September 20-21, 2007
Venue - Dates: IEEE Behavioral Modeling and Simulation Conference (BMAS 2007), United States, 2007-09-20 - 2007-09-21
Organisations: Electronic & Software Systems, EEE

Identifiers

Local EPrints ID: 264661
URI: http://eprints.soton.ac.uk/id/eprint/264661
PURE UUID: 5e1643e9-1a28-4ea8-8777-af269664e981
ORCID for Steve Beeby: ORCID iD orcid.org/0000-0002-0800-1759

Catalogue record

Date deposited: 09 Oct 2007
Last modified: 18 Jul 2017 07:33

Export record

Contributors

Author: Leran Wang
Author: Tom Kazmierski
Author: Steve Beeby ORCID iD
Author: Russel Torah

University divisions

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.

×