Study of mass effect in electromechanical modelling of piezoelectric energy harvesters.
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2023
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Institute of Electrical and Electronics Engineers Inc.
Abstract
There is a growing interest in the evolution of energy harvesting techniques. The main reason for this demand is the industrial digitalization we are experiencing, which creates the need for sustainable and versatile energy sources. Traditionally, the use of wired or battery systems has encountered limitations in terms of accessibility to certain places and recyclability. This is where energy harvesting techniques capable of extracting energy from the environment and converting it into electrical power sources find their place. Piezoelectric harvesters can convert mechanical deformation energy into electrical current. However, they have their limitations in the power capacity they can deliver. Therefore, different formulas are investigated to optimize the extracted energy. One of the most successful is to add masses to the harvester to force a greater deformation when it is subjected to vibration. The objective of this research work is to study how the addition of different masses and their positioning affects a piezoelectric harvester. For this purpose, a series of experiments have been done with different mass configurations. As a result, the mass effect in every harvester configuration has been parametrized and several differences have been identified. The detection of a 53% increase in the mass effect ratio for a specific harvester thickness stands out. The conclusions of this research work are related to the use of electromechanical parameters with the objective of evaluating and predicting the behavior of the harvester and its energy extraction capacity with the addition of masses.
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Publisher Copyright: © 2023 IEEE.
Keywords
electromechanical parameters , energy harvesting , mass effect , piezoelectric materials , power source , Artificial Intelligence , Computer Networks and Communications , Computer Science Applications , Computer Vision and Pattern Recognition , Electrical and Electronic Engineering , Mechanical Engineering , Electronic, Optical and Magnetic Materials , Instrumentation , SDG 9 - Industry, Innovation, and Infrastructure
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Pérez-Alfaro , I , Hernando , E , Gil-Hernandez , D , Carrascal-Carranza , C , Quero , F & Bernal , C 2023 , Study of mass effect in electromechanical modelling of piezoelectric energy harvesters. in International Conference on Electrical, Computer, Communications and Mechatronics Engineering, ICECCME 2023 . International Conference on Electrical, Computer, Communications and Mechatronics Engineering, ICECCME 2023 , Institute of Electrical and Electronics Engineers Inc. , 2023 International Conference on Electrical, Computer, Communications and Mechatronics Engineering, ICECCME 2023 , Tenerife, Canary Islands , Spain , 19/07/23 . https://doi.org/10.1109/ICECCME57830.2023.10252722
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