DocumentCode
2852270
Title
An integrated approach to energy harvester modeling and performance optimization
Author
Wang, Leran ; Kazmierski, Tom J. ; Al-Hashimi, B.M. ; Beeby, Steve P. ; Torah, Russel N.
Author_Institution
Univ. of Southampton, Southampton
fYear
2007
fDate
20-21 Sept. 2007
Firstpage
121
Lastpage
125
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 mechanical-electrical 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%.
Keywords
electric machine analysis computing; hardware description languages; magnetic domains; optimisation; small electric machines; electrical equivalent model; energy harvester modeling; hardware description language; magnetic domain; mechanical domain; mechanical-electrical interaction; micro generator; performance optimization; vibration-based electromagnetic EH; voltage booster performance; Energy storage; Equations; Hardware design languages; Load modeling; Magnetic analysis; Magnetic domains; Optimization; Predictive models; Vibrations; Voltage;
fLanguage
English
Publisher
ieee
Conference_Titel
Behavioral Modeling and Simulation Workshop, 2007. BMAS 2007. IEEE International
Conference_Location
San Jose, CA
Print_ISBN
978-1-4244-1567-0
Type
conf
DOI
10.1109/BMAS.2007.4437537
Filename
4437537
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