Open AccessElectrical modelling and characterization of a Thermo-Magnetically Activated Piezoelectric Generator (TMAPG)
Author(s) -
Adrian A. Rendon-Hernandez,
Maurizio Ferrari,
Skandar Basrour,
Vittorio Ferrari
Publication year - 2019
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1407/1/012058
Subject(s) - piezoelectricity , generator (circuit theory) , admittance , bimorph , rectifier (neural networks) , series and parallel circuits , equivalent circuit , dielectric , materials science , characterization (materials science) , electrical engineering , voltage , electronic circuit , power (physics) , piezoelectric coefficient , electronic engineering , acoustics , engineering , computer science , physics , electrical impedance , stochastic neural network , quantum mechanics , machine learning , recurrent neural network , artificial neural network , nanotechnology
This article deals with modeling and characterization of a thermo-magnetically activated piezoelectric generator, we provide breakthrough in addressing the modeling issue of such power generators by reporting equivalent electrical circuit and its characterization. The circuit is based on the standard Butterworth van Dyke model. It includes mechanical, dielectric, and piezoelectric losses by using complex elastic, dielectric and piezoelectric constants that are obtained through fitting measured admittance of piezoelectric transducer. The model is developed of lumped circuits elements and it is valid under both parallel and series wired bimorph connection. Experimental and simulation results show good agreement, within 10.2% (for maximum output voltage), on the generator behavior for both the rectifier circuits implemented.