000112190 001__ 112190
000112190 005__ 20220503133918.0
000112190 0247_ $$2doi$$a10.3390/s22083080
000112190 0248_ $$2sideral$$a128296
000112190 037__ $$aART-2022-128296
000112190 041__ $$aeng
000112190 100__ $$0(orcid)0000-0001-9334-4870$$aBernal Ruiz, Carlos$$uUniversidad de Zaragoza
000112190 245__ $$aOn Mechanical and Electrical Coupling Determination at Piezoelectric Harvester by Customized Algorithm Modeling and Measurable Properties
000112190 260__ $$c2022
000112190 5060_ $$aAccess copy available to the general public$$fUnrestricted
000112190 5203_ $$aPiezoelectric 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.
000112190 536__ $$9info:eu-repo/grantAgreement/EC/H2020/869884/EU/RE-manufaCturing and Refurbishment LArge Industrial equipMent/RECLAIM$$9This project has received funding from the European Union’s Horizon 2020 research and innovation program under grant agreement No H2020 869884-RECLAIM
000112190 540__ $$9info:eu-repo/semantics/openAccess$$aby$$uhttp://creativecommons.org/licenses/by/3.0/es/
000112190 655_4 $$ainfo:eu-repo/semantics/article$$vinfo:eu-repo/semantics/publishedVersion
000112190 700__ $$aPerez Alfaro, Irene
000112190 700__ $$aGil, Daniel
000112190 700__ $$aMurillo, Nieves
000112190 7102_ $$15008$$2785$$aUniversidad de Zaragoza$$bDpto. Ingeniería Electrón.Com.$$cÁrea Tecnología Electrónica
000112190 773__ $$g22, 8 (2022), 3080 [21 p.]$$pSensors$$tSensors$$x1424-8220
000112190 8564_ $$s3816318$$uhttps://zaguan.unizar.es/record/112190/files/texto_completo.pdf$$yVersión publicada
000112190 8564_ $$s2697769$$uhttps://zaguan.unizar.es/record/112190/files/texto_completo.jpg?subformat=icon$$xicon$$yVersión publicada
000112190 909CO $$ooai:zaguan.unizar.es:112190$$particulos$$pdriver
000112190 951__ $$a2022-05-03-12:29:14
000112190 980__ $$aARTICLE