Integrated approach to energy harvester mixed technology modelling and performance optimisation
Integrated approach to energy harvester mixed technology modelling and performance optimisation
An energy harvester is a system consisting of several components from different physical domains including mechanical, magnetic and electrical as well as the external circuits which regulate and store the generated energy. To design highly efficient energy harvesters, we believe that the various components of the energy harvesters need to be modelled together and in systematic manner using one simulation platform. We propose an accurate HDL model for the energy harvester and demonstrate its accuracy by validating it experimentally and comparing it with recently reported models. It is crucial to consider the various parts of the energy harvester in the context of a complete system, or else the gain at one part may come at the price of efficiency loss else where, rending the energy harvester much less efficient than before. The close mechanical-electrical interaction that takes place in energy harvesters, often lead to significant performance loss when the various parts of the energy harvesters are combined. Therefore, to address the performance loss, we propose an integrated approach to the energy harvester modelling and performance optimisation and demonstrate the effectiveness of employing such an approach by showing that it is possible to improve the performance of vibration-based energy harvester, in terms of the effective energy stored in the super-capacitor, by 33% through optimising the micro-generator mechanical parameters and the voltage booster circuit components.
Wang, Leran
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Kazmierski, Tom
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Al-Hashimi, Bashir
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Beeby, Steve
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Torah, Russel
7147b47b-db01-4124-95dc-90d6a9842688
2008
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
(2008)
Integrated approach to energy harvester mixed technology modelling and performance optimisation.
Design, Automation and Test in Europe (DATE 2008), Munich, Germany.
10 - 14 Mar 2008.
Record type:
Conference or Workshop Item
(Other)
Abstract
An energy harvester is a system consisting of several components from different physical domains including mechanical, magnetic and electrical as well as the external circuits which regulate and store the generated energy. To design highly efficient energy harvesters, we believe that the various components of the energy harvesters need to be modelled together and in systematic manner using one simulation platform. We propose an accurate HDL model for the energy harvester and demonstrate its accuracy by validating it experimentally and comparing it with recently reported models. It is crucial to consider the various parts of the energy harvester in the context of a complete system, or else the gain at one part may come at the price of efficiency loss else where, rending the energy harvester much less efficient than before. The close mechanical-electrical interaction that takes place in energy harvesters, often lead to significant performance loss when the various parts of the energy harvesters are combined. Therefore, to address the performance loss, we propose an integrated approach to the energy harvester modelling and performance optimisation and demonstrate the effectiveness of employing such an approach by showing that it is possible to improve the performance of vibration-based energy harvester, in terms of the effective energy stored in the super-capacitor, by 33% through optimising the micro-generator mechanical parameters and the voltage booster circuit components.
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06.3_4_0452.pdf
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More information
Published date: 2008
Additional Information:
Event Dates: March 10-14, 2008
Venue - Dates:
Design, Automation and Test in Europe (DATE 2008), Munich, Germany, 2008-03-10 - 2008-03-14
Organisations:
Electronic & Software Systems, EEE
Identifiers
Local EPrints ID: 264770
URI: http://eprints.soton.ac.uk/id/eprint/264770
PURE UUID: ef2dd6bf-c7a1-4c66-9be6-456b3c4d8660
Catalogue record
Date deposited: 31 Oct 2007
Last modified: 15 Mar 2024 03:20
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Contributors
Author:
Tom Kazmierski
Author:
Bashir Al-Hashimi
Author:
Steve Beeby
Author:
Russel Torah
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