112190 20240319080959.0 doi 10.3390/s22083080 sideral 128296 ART-2022-128296 eng Bernal Ruiz, Carlos Universidad de Zaragoza (orcid)0000-0001-9334-4870 On Mechanical and Electrical Coupling Determination at Piezoelectric Harvester by Customized Algorithm Modeling and Measurable Properties 2022 Access copy available to the general public Unrestricted Piezoelectric harvesters use the actuation potential of the piezoelectric material to transform mechanical and vibrational energies into electrical power, scavenging energy from their environment. Few research has been focused on the development and understanding of the piezoelectric harvesters from the material themselves and the real piezoelectric and mechanical properties of the harvester. In the present work, the authors propose a behavior real model based on the experimentally measured electromechanical parameters of a homemade PZT bimorph harvester with the aim to predict its Vrms output. To adjust the harvester behavior, an iterative customized algorithm has been developed in order to adapt the electromechanical coupling coefficient, finding the relationship between the harvester actuator and generator behavior. It has been demonstrated that the harvester adapts its elongation and its piezoelectric coefficients combining the effect of the applied mechanical strain and the electrical behavior as a more realistic behavior due to the electromechanical nature of the material. The complex rms voltage output of the homemade bimorph harvester in the frequency domain has been successfully reproduced by the proposed model. The Behavior Real Model, BRM, developed could become a powerful tool for the design and manufacturing of a piezoelectric harvester based on its customized dimensions, configuration, and the piezoelectric properties of the smart materials. info:eu-repo/grantAgreement/EC/H2020/869884/EU/RE-manufaCturing and Refurbishment LArge Industrial equipMent/RECLAIM This project has received funding from the European Union’s Horizon 2020 research and innovation program under grant agreement No H2020 869884-RECLAIM info:eu-repo/semantics/openAccess by http://creativecommons.org/licenses/by/3.0/es/ 3.9 2022 CHEMISTRY, ANALYTICAL 26 / 86 = 0.302 2022 Q2 T1 INSTRUMENTS & INSTRUMENTATION 19 / 63 = 0.302 2022 Q2 T1 ENGINEERING, ELECTRICAL & ELECTRONIC 100 / 274 = 0.365 2022 Q2 T2 0.764 2022 Instrumentation 2022 Q1 Analytical Chemistry 2022 Q1 Medicine (miscellaneous) 2022 Q2 Information Systems 2022 Q2 Biochemistry 2022 Q2 Atomic and Molecular Physics, and Optics 2022 Q2 Electrical and Electronic Engineering 2022 Q2 6.8 2022 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Perez Alfaro, Irene Gil, Daniel Murillo, Nieves 5008 785 Universidad de Zaragoza Dpto. Ingeniería Electrón.Com. Área Tecnología Electrónica 22, 8 (2022), 3080 [21 p.] Sensors Sensors 1424-8220 3816318 http://zaguan.unizar.es/record/112190/files/texto_completo.pdf Versión publicada 2697769 http://zaguan.unizar.es/record/112190/files/texto_completo.jpg?subformat=icon icon Versión publicada oai:zaguan.unizar.es:112190 articulos driver 2024-03-18-13:59:11 ARTICLE