Micro-Energy-Harvesting Dumbbells Using Coil–Magnet Electromagnetic Conversion
Rim CHAKRONE
Abstract. The increased need of self-powered Internet of Things (IoT) devices has resulted in the creation of innovative energy gathering methods. This paper describes a micro-energy-harvesting dumbbell that transforms biomechanical movement to a useful electrical energy, provides an original combination of an electromagnetic transducer (MFEH) based on a magnetic field and an optimized single-stage AC/DC power converter. The proposed system generates vertical kinetic energy of dumbbell motions with the help of coil-magnet transducer. The resultant AC power is rectified using a Cockcroft-Walton voltage multiplier and full-wave bridge rectifier and stored in a supercapacitor. The model and simulation of all components and dynamics were designed in MATLAB/Simulink with real-life human motion data to make the performance assessment real. According to simulation findings, the device can collect an average power of 2.5 mW, peak power of 5.32 mW, which proves the fact that user velocity is also a significant parameter in energy production. The findings confirm the practicability of system in low-power applications and indicate that electromagnetic dumbbell harvesters will have a potential energy source in wearable and portable IoT devices. On a general note, this paper does show that micro-energy-harvesting dumbbells have a promising practical future.
Keywords
Dumbbell, Electromagnetic Converter, Coil And Magnet, Micro-Energy Harvesting, IoT
Published online 4/25/2026, 7 pages
Copyright © 2026 by the author(s)
Published under license by Materials Research Forum LLC., Millersville PA, USA
Citation: Rim CHAKRONE, Micro-Energy-Harvesting Dumbbells Using Coil–Magnet Electromagnetic Conversion, Materials Research Proceedings, Vol. 64, pp 211-217, 2026
DOI: https://doi.org/10.21741/9781644904091-26
The article was published as article 26 of the book Energy Futures
Content from this work may be used under the terms of the Creative Commons Attribution 3.0 license. Any further distribution of this work must maintain attribution to the author(s) and the title of the work, journal citation and DOI.
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