Sensing and Imaging

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Optimal Design of RF Energy Harvesting Device Using Genetic Algorithm

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Abstract

This paper presents optimal design of an RF energy harvesting device using genetic algorithm (GA). In the present RF harvester, a planar spiral antenna (PSA) is loaded with matching and rectifying circuits. On the first stage of the optimal design, the shape parameters of PSA are optimized using \(\mu {\rm GA}\). Then, the equivalent circuit of the optimized PSA is derived for optimization of the circuits. Finally, the parameters of RF energy harvesting circuit are optimized to maximize the output power using GA. It is shown that the present optimization increases the output power by a factor of five. The manufactured energy harvester starts working when the input electric field is greater than 0.5 V/m.

Keywords

RF energy harvester Antenna FDTD Genetic algorithm 

Notes

Acknowledgments

This work was supported in part by JSPS KAKENHI Grant Number 24310117, as well as JSPS and CAPES under the Japan-Brazil Research Cooperative Program.

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Copyright information

© Springer Science+Business Media New York 2015

Authors and Affiliations

  1. 1.Graduate School of Information Science and TechnologyHokkaido UniversitySapporoJapan
  2. 2.Departamento de Engenharia EletricaUniversidade Federal de Minas GeraisBelo HorizonteBrazil

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