Detail publikace

Coil Optimization for Linear Electromagnetic Energy Harvesters with Non-uniform Magnetic Field

SMILEK, J. HADAŠ, Z.

Originální název

Coil Optimization for Linear Electromagnetic Energy Harvesters with Non-uniform Magnetic Field

Typ

článek ve sborníku ve WoS nebo Scopus

Jazyk

angličtina

Originální abstrakt

Useful electric power dissipated in the load of kinetic energy harvesters depends among other factors on the electromechanical coupling coefficient and the ratio of the harvester inner impedance and the load impedance. Improving the perfor-mance of an electromagnetic harvester is therefore possible by maximizing the electromechanical coupling by optimizing the magnetic circuit design, including the pick-up coil placement, size and shape. At the same time the impedance of the coil needs to be considered and an optimal electric load must be used in order to maximize the useful power. This paper presents a coil optimization algorithm for conditions of known magnetic field and its change in the space exploitable by the coil. The algorithm is based on the greedy search approach with the useful power on load as a cost function to be maximized. It also ensures an optimal and realistic load to be used.

Klíčová slova

Energy Harvesting, Coil Optimization, Greedy Search, Coupling Coefficient, Mechanical Vibrations

Autoři

SMILEK, J.; HADAŠ, Z.

Vydáno

6. 9. 2017

Nakladatel

Springer

Místo

Brno

ISBN

9783319659596

Kniha

Mechatronics 2017

ISSN

2194-5357

Periodikum

Advances in Intelligent Systems and Computing

Ročník

644

Stát

Švýcarská konfederace

Strany od

735

Strany do

742

Strany počet

8

BibTex

@inproceedings{BUT142372,
  author="Jan {Smilek} and Zdeněk {Hadaš}",
  title="Coil Optimization for Linear Electromagnetic Energy Harvesters with Non-uniform Magnetic Field",
  booktitle="Mechatronics 2017",
  year="2017",
  journal="Advances in Intelligent Systems and Computing",
  volume="644",
  pages="735--742",
  publisher="Springer",
  address="Brno",
  doi="10.1007/978-3-319-65960-2\{_}90",
  isbn="9783319659596",
  issn="2194-5357"
}