Publication detail

Vibration energy harvester optimization using artificial intelligence

HADAŠ, Z. ONDRŮŠEK, Č. KURFÜRST, J. SINGULE, V.

Original Title

Vibration energy harvester optimization using artificial intelligence

English Title

Vibration energy harvester optimization using artificial intelligence

Type

conference paper

Language

en

Original Abstract

This paper deals with an optimization study of a vibration energy harvester. This harvester can be used as autonomous source of electrical energy for remote or wireless applications, which are placed in environment excited by ambient mechanical vibrations. The ambient energy of vibrations is usually on very low level but the harvester can be used as alternative source of energy for electronic devices with an expected low level of power consumption of several mW. The optimized design of the vibration energy harvester was based on previous development and the sensitivity of harvester design was improved for effective harvesting from mechanical vibrations in aeronautic applications. The vibration energy harvester is a mechatronic system which generates electrical energy from ambient vibrations due to precision tuning up generator parameters. The optimization study for maximization of harvested power or minimization of volume and weight are the main goals of our development. The optimization study of such complex device is complicated therefore artificial intelligence methods can be used for tuning up optimal harvester parameters.

English abstract

This paper deals with an optimization study of a vibration energy harvester. This harvester can be used as autonomous source of electrical energy for remote or wireless applications, which are placed in environment excited by ambient mechanical vibrations. The ambient energy of vibrations is usually on very low level but the harvester can be used as alternative source of energy for electronic devices with an expected low level of power consumption of several mW. The optimized design of the vibration energy harvester was based on previous development and the sensitivity of harvester design was improved for effective harvesting from mechanical vibrations in aeronautic applications. The vibration energy harvester is a mechatronic system which generates electrical energy from ambient vibrations due to precision tuning up generator parameters. The optimization study for maximization of harvested power or minimization of volume and weight are the main goals of our development. The optimization study of such complex device is complicated therefore artificial intelligence methods can be used for tuning up optimal harvester parameters.

Keywords

Vibration energy harvester, energy harvesting, optimization, SOMA, artificial intelligence

RIV year

2011

Released

03.05.2011

Publisher

SPIE-INT SOC OPTICAL ENGINEERING

Location

1000 20TH ST, PO BOX 10, BELLINGHAM, WA 98227-0010 USA

ISBN

9780819486554

Book

Microtechnologies for the New Millennium 2011 (Proceedings Volume 8066-8069)

Edition

8066

Edition number

1

Pages from

1

Pages to

12

Pages count

12

Documents

BibTex


@inproceedings{BUT36065,
  author="Zdeněk {Hadaš} and Čestmír {Ondrůšek} and Jiří {Kurfűrst} and Vladislav {Singule}",
  title="Vibration energy harvester optimization using artificial intelligence",
  annote="This paper deals with an optimization study of a vibration energy harvester. This harvester can be used as autonomous source of electrical energy for remote or wireless applications, which are placed in environment excited by ambient mechanical vibrations. The ambient energy of vibrations is usually on very low level but the harvester can be used as alternative source of energy for electronic devices with an expected low level of power consumption of several mW. The optimized design of the vibration energy harvester was based on previous development and the sensitivity of harvester design was improved for effective harvesting from mechanical vibrations in aeronautic applications. The vibration energy harvester is a mechatronic system which generates electrical energy from ambient vibrations due to precision tuning up generator parameters. The optimization study for maximization of harvested power or minimization of volume and weight are the main goals of our development. The optimization study of such complex device is complicated therefore artificial intelligence methods can be used for tuning up optimal harvester parameters.",
  address="SPIE-INT SOC OPTICAL ENGINEERING",
  booktitle="Microtechnologies for the New Millennium 2011 (Proceedings Volume 8066-8069)",
  chapter="36065",
  doi="10.1117/12.886383",
  edition="8066",
  howpublished="electronic, physical medium",
  institution="SPIE-INT SOC OPTICAL ENGINEERING",
  year="2011",
  month="may",
  pages="1--12",
  publisher="SPIE-INT SOC OPTICAL ENGINEERING",
  type="conference paper"
}