Electrical Response Analysis of a Piezoelectric Energy Harvester Power Source Based on Electromechanical Parameters

Perez-Alfaro, Irene ; Gil-Hernandez, Daniel ; Hernando, Eduardo ; Quero, Fernando ; Bernal, Carlos (Universidad de Zaragoza)

Resumen: A piezoelectric energy harvester generator is a device capable of transforming environmental mechanical energy into electrical energy. The piezoelectric electromechanical parameters determine the maximum electrical power which is able to be transferred to an electric load. In this research work, an exhaustive study of the electromechanical parameters related to the piezoelectric material is carried out, modeling them as components of an electrical circuit, in order to analyze their influence on the transmitted power. On the other hand, some electrical loads are simulated to determine different matrix scenarios for a model developed by state-space equations in the Laplace transform domain. The results obtained have allowed to know how the piezoelectric material properties and mechanical characteristics influence the electrical power output of the energy harvester generator and the energy transmission behavior for different electric loads. The conclusions show how the different electromechanical parameters are related to each other, and how their combination transforms the mechanical environmental energy into the required electrical energy. The novelty of this research is the presentation of a model capable of obtaining the optimized working point of the harvester, taking into account not only the electric loads and current demands but also the piezoelectric material parameters.

Idioma: Inglés

DOI: 10.3390/electronics11223697

Año: 2022

Publicado en: Electronics 11, 22 (2022), 3697 [11 pp.]
ISSN: 2079-9292

Factor impacto JCR: 2.9 (2022)

Categ. JCR: ENGINEERING, ELECTRICAL & ELECTRONIC rank: 131 / 274 = 0.478 (2022) - Q2 - T2
Categ. JCR: PHYSICS, APPLIED rank: 72 / 160 = 0.45 (2022) - Q2 - T2
Categ. JCR: COMPUTER SCIENCE, INFORMATION SYSTEMS rank: 99 / 158 = 0.627 (2022) - Q3 - T2

Factor impacto CITESCORE: 4.7 - Computer Science (Q2) - Engineering (Q2)

Factor impacto SCIMAGO: 0.628 - Computer Networks and Communications (Q2) - Control and Systems Engineering (Q2) - Signal Processing (Q2) - Hardware and Architecture (Q2) - Electrical and Electronic Engineering (Q2)

Financiación: info:eu-repo/grantAgreement/EC/H2020/869884/EU/RE-manufaCturing and Refurbishment LArge Industrial equipMent/RECLAIM

Tipo y forma: Article (Published version)

Área (Departamento): Área Tecnología Electrónica (Dpto. Ingeniería Electrón.Com.)