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  • This paper deals with optimization studies based on artificial intelligence methods. These modern optimization methods can be very useful for design improving of an electromagnetic vibration energy harvester. The vibration energy harvester is a complex mechatronic device which harvests electrical energy from ambient mechanical vibrations. The harvester design consists of a precise mechanical resonator, electromagnetic converter and electronics. The optimization study of such complex mechatronic device is complicated however artificial intelligence methods can be used for set up of optimal harvester parameters. Used optimization strategies are applied to optimize the design of the electro-magnetic vibration energy harvester according to multi-objective fitness functions. Optimization results of the harvester are summarized in this paper. Presented optimization algorithms can be used for a design of new energy harvesting systems or for improving on existing energy harvesting systems.
  • This paper deals with optimization studies based on artificial intelligence methods. These modern optimization methods can be very useful for design improving of an electromagnetic vibration energy harvester. The vibration energy harvester is a complex mechatronic device which harvests electrical energy from ambient mechanical vibrations. The harvester design consists of a precise mechanical resonator, electromagnetic converter and electronics. The optimization study of such complex mechatronic device is complicated however artificial intelligence methods can be used for set up of optimal harvester parameters. Used optimization strategies are applied to optimize the design of the electro-magnetic vibration energy harvester according to multi-objective fitness functions. Optimization results of the harvester are summarized in this paper. Presented optimization algorithms can be used for a design of new energy harvesting systems or for improving on existing energy harvesting systems. (en)
Title
  • Artificial intelligence based optimization for vibration energy harvesting applications
  • Artificial intelligence based optimization for vibration energy harvesting applications (en)
skos:prefLabel
  • Artificial intelligence based optimization for vibration energy harvesting applications
  • Artificial intelligence based optimization for vibration energy harvesting applications (en)
skos:notation
  • RIV/00216305:26210/12:PU96989!RIV13-MSM-26210___
http://linked.open...avai/predkladatel
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • P(ED0002/01/01)
http://linked.open...iv/cisloPeriodika
  • 7-8
http://linked.open...vai/riv/dodaniDat
http://linked.open...aciTvurceVysledku
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  • 123707
http://linked.open...ai/riv/idVysledku
  • RIV/00216305:26210/12:PU96989
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • Vibration energy harvester, energy harvesting, optimization, SOMA, artificial intelligence (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...odStatuVydavatele
  • DE - Spolková republika Německo
http://linked.open...ontrolniKodProRIV
  • [A0FDC241294C]
http://linked.open...i/riv/nazevZdroje
  • Microsystem Technologies
http://linked.open...in/vavai/riv/obor
http://linked.open...ichTvurcuVysledku
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http://linked.open...vavai/riv/projekt
http://linked.open...UplatneniVysledku
http://linked.open...v/svazekPeriodika
  • 18
http://linked.open...iv/tvurceVysledku
  • Singule, Vladislav
  • Hadaš, Zdeněk
  • Ondrůšek, Čestmír
  • Kurfürst, Jiří
issn
  • 0946-7076
number of pages
http://localhost/t...ganizacniJednotka
  • 26210
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