Publication:
Comprehensive characterisation of a low-frequency-vibration energy harvester

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Date

2024

Director

Publisher

MDPI
Acceso abierto / Sarbide irekia
Artículo / Artikulua
Versión publicada / Argitaratu den bertsioa

Project identifier

AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/PID2019-107258RB-C32/ES/
AEI//TED2021-131052B-C21
AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2021-2023/PID2022-138491OB-C32/ES/
AEI//PDC2023-145876-C22

Abstract

In this paper, we describe a measurement procedure to fully characterise a novel vibration energy harvester operating in the ultra-low-frequency range. The procedure, which is more thorough than those usually found in the literature, comprises three main stages: modelling, experimental characterisation and parameter identification. Modelling is accomplished in two alternative ways, a physical model (white box) and a mixed one (black box), which model the magnetic interaction via Fourier series. The experimental measurements include not only the input (acceleration)–output (energy) response but also the (internal) dynamic behaviour of the system, making use of a synchronised image processing and signal acquisition system. The identification procedure, based on maximum likelihood, estimates all the relevant parameters to characterise the system to simulate its behaviour and helps to optimise its performance. While the method is custom-designed for a particular harvester, the comprehensive approach and most of its procedures can be applied to similar harvesters.

Keywords

Energy harvesting, Vibration harvester, Model identification, Low-frequency vibrations, Wind turbines

Department

Ingeniería / Ingeniaritza / Ingeniería Eléctrica, Electrónica y de Comunicación / Ingeniaritza Elektrikoa, Elektronikoa eta Telekomunikazio Ingeniaritza / Institute of Smart Cities - ISC

Faculty/School

Degree

Doctorate program

Editor version

Funding entities

This work has been supported by the Spanish Research Agency, and the EU/PTR Next Generation Funds under grants PID2019-107258RB-C32 and TED2021-131052B-C21, and also by the Government of Spain (Plan Estatal de Investigación Científica, Técnica y de Innovación 2021–2023) under grants PID2022-138491OB-C32 and PDC 2023-145876-C22.

© 2024 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license.

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