Integrated approach to energy harvester mixed technology modelling and performance optimisation


Wang, Leran, Kazmierski, Tom, Al-Hashimi, Bashir, Beeby, Steve and Torah, Russel (2008) Integrated approach to energy harvester mixed technology modelling and performance optimisation. At Design, Automation and Test in Europe (DATE 2008), Munich, Germany, 10 - 14 Mar 2008.

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Description/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 vibrationbased 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.

Item Type: Conference or Workshop Item (Speech)
Additional Information: Event Dates: March 10-14, 2008
Divisions: Faculty of Physical Sciences and Engineering > Electronics and Computer Science > Electronic & Software Systems
Faculty of Physical Sciences and Engineering > Electronics and Computer Science > EEE
ePrint ID: 264770
Date Deposited: 31 Oct 2007
Last Modified: 27 Mar 2014 20:09
Further Information:Google Scholar
ISI Citation Count:0
URI: http://eprints.soton.ac.uk/id/eprint/264770

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