Poster + Paper
28 April 2023 On the modeling and optimization of an electromagnetic energy harvester
Author Affiliations +
Conference Poster
Abstract
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.
© (2023) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Airton J. Schmitt Jr., Júlio A. Cordioli, Danilo Braga, and Maurício V. Ferreira da Luz "On the modeling and optimization of an electromagnetic energy harvester", Proc. SPIE 12483, Active and Passive Smart Structures and Integrated Systems XVII, 124831P (28 April 2023); https://doi.org/10.1117/12.2658581
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KEYWORDS
Mathematical optimization

Design and modelling

Electromagnetism

Vibration

Modeling

Transducers

Miniaturization

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