• DocumentCode
    3082464
  • Title

    Accelerated simulation of tunable vibration energy harvesting systems using a linearised state-space technique

  • Author

    Wang, Leran ; Kazmierski, Tom J. ; Al-Hashimi, Bashir M. ; Weddell, Alex S. ; Merrett, Geoff V. ; Garcia, Ivo N Ayala

  • Author_Institution
    Sch. of Electron. & Comput. Sci., Univ. of Southampton, Southampton, UK
  • fYear
    2011
  • fDate
    14-18 March 2011
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    This paper proposes a linearised state-space technique to accelerate the simulation of tunable vibration energy harvesting systems by at least two orders of magnitude. The paper provides evidence that currently available simulation tools are inadequate for simulating complete energy harvesting systems where prohibitive CPU times are encountered due to disparate time scales. In the proposed technique, the model of a complete mixed-technology energy harvesting system is divided into component blocks whose mechanical and analogue electrical parts are modelled by local state equations and terminal variables while the digital electrical part is modelled as a digital process. Unlike existing simulation tools that use Newton-Raphson method, the proposed technique uses explicit integration such as Adams-Bashforth method to solve the state equations of the complete energy harvester model in short simulation time. Experimental measurements of a practical tunable energy harvester have been carried out to validate the proposed technique.
  • Keywords
    Newton-Raphson method; energy harvesting; Newton-Raphson method; accelerated simulation; linearised state space technique; tunable vibration energy harvesting system; Energy harvesting; Equations; Integrated circuit modeling; Mathematical model; Microcontrollers; Resonant frequency; Tuning;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Design, Automation & Test in Europe Conference & Exhibition (DATE), 2011
  • Conference_Location
    Grenoble
  • ISSN
    1530-1591
  • Print_ISBN
    978-1-61284-208-0
  • Type

    conf

  • DOI
    10.1109/DATE.2011.5763203
  • Filename
    5763203