Mr. Airton José Schmitt Junior Profile

Airton José Schmitt Junior

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Proceedings Article | 28 April 2023 Poster + Paper

On the modeling and optimization of an electromagnetic energy harvester

Airton Schmitt, Júlio Cordioli, Danilo Braga, Maurício Ferreira da Luz

Proceedings Volume 12483, 124831P (2023) https://doi.org/10.1117/12.2658581

KEYWORDS: Mathematical optimization, Design and modelling, Vibration, Electromagnetism, Modeling, Transducers, Miniaturization, Magnetism, Finite element methods, Data modeling

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The interest in modeling and prototyping the so-called Vibration Energy Harvesters (VEHs) has increased significantly in the last decades, given the growing demand for energy sources that can capture energy from the vibration of a machine, for example, to power small sensors and vibration monitoring devices. In this work, the design and optimization of a commercial Electromagnetic Vibration Energy Harvester (EMVEH) are presented. Such a device contains in its interior a resonant-type electromagnetic transducer, the latter composed basically by a seismic mass, a mechanical spring and a multi-turn coil. The complete set weighs about 90 g and occupies a total volume of approximately 50.97 cm³, being able to generate up 45mW at its resonance frequency of 60 Hz, with a bandwidth of 2.5 Hz. Furthermore, the linear generator presented in this paper reaches a maximum Normalized Power Density (NPD) of 1.8018mW/(cm³g²) at an acceleration amplitude of 0.7 g (∼ 6.67m/s²). To proceed with electromechanical modeling and further optimization, a numerical model was developed via commercial software COMSOL Multiphysics, from which it was possible to optimize its geometry in order to maximize its NPD and power output. A Surrogate optimization algorithm was then implemented in MATLAB, in which both volume and mechanical stress were considered as project constraints.

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