• 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