Presentation + Paper
9 May 2024 Mechanical input energy optimization of quasi-static-toggling electromagnetic energy harvester
Author Affiliations +
Abstract
Quasi-static-toggling (QST) electromagnetic energy harvesters are the most successful commercialized small-scale mechanical energy harvesters for self-powered wireless electronic gadgets, such as motion-powered wireless switches. However, the working principle was not seriously investigated and theoretically analyzed until recently. Given the belated attention from academia, there is still a large gap in fully understanding the QST operation and grasping its optimal energy harvesting strategy. This paper provides a parametric analysis for optimizing the mechanical input energy of a bistable QST harvester. The input energy is calculated as the stored potential energy in the energy-buffering spring before toggling or being released. Such an amount of energy correlates with the magnetic force, the distance between two magnetic poles, and the stiffness of the energy-buffering spring. On the other hand, the most considerate design as a self-powered wireless press button must also take the human factor, i.e., comfortable fingertip force, into consideration. All these factors are taken into consideration in this paper, based on a lumped model. A multi-field coupled numeric simulation is carried out using Matlab Simscape to validate the theoretical analysis. The result shows that the optimal energy input is realized when the product of magnetic pole distance and energy-buffering spring stiffness equals the magnetic attaching force. An experimental prototype is manufactured based on this guidance. Such a new insight is valuable for making effective and full use of a QST electromagnetic energy harvester.
Conference Presentation
(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.
Yu Yin, Guobiao Hu, and Junrui Liang "Mechanical input energy optimization of quasi-static-toggling electromagnetic energy harvester", Proc. SPIE 12946, Active and Passive Smart Structures and Integrated Systems XVIII, 129460W (9 May 2024); https://doi.org/10.1117/12.3011236
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KEYWORDS
Magnetism

Iron

Electromagnetism

Computer simulations

Energy harvesting

Resistance

Vibration

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