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Article

Analysis and Characterization of Optimized Dual-Frequency Vibration Energy Harvesters for Low-Power Industrial Applications

1
Institute for Electronic Appliances and Circuits, Faculty of Computer Science and Electrical Engineering, University of Rostock, Albert-Einstein-Str. 2, 18059 Rostock, Germany
2
Structural Mechanics Research Laboratory, Mechanical Engineering Department, Blida I University, BP 270 Route Soumâa-BLIDA, Blida 09000, Algeria
3
Department of Engineering, Jade University of Applied Sciences, Friedrich-Paffrath-Str. 101, 26389 Wilhelmshaven, Germany
*
Author to whom correspondence should be addressed.
Micromachines 2022, 13(7), 1078; https://doi.org/10.3390/mi13071078
Submission received: 17 May 2022 / Revised: 1 July 2022 / Accepted: 4 July 2022 / Published: 7 July 2022

Abstract

We present a multiresonant vibration energy harvester designed for ultra-low-power applications in industrial environments together with an optimized harvester design. The proposed device features dual-frequency operation, enabling the harvesting of energy over a wider operational frequency range. It has been designed such that its harvesting bandwidth range is [50, 100] Hz, which is a typical frequency range for vibrations found in industrial applications. At an excitation level of 0.5 g, a maximum mean power output of 6 mW and 9 mW can be expected at the resonance frequencies of 63.3 and 76.4 Hz, respectively. The harvester delivers a power density of 492 µW/cm2. Design optimization led to improved harvester geometries yielding up to 2.6 times closer resonance frequencies, resulting in a wider harvesting bandwidth and a significantly higher power output.
Keywords: piezoelectricity; vibration-based energy harvesting; coupled resonators; bandwidth broadening; multi-objective optimization; multimodal structures piezoelectricity; vibration-based energy harvesting; coupled resonators; bandwidth broadening; multi-objective optimization; multimodal structures

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MDPI and ACS Style

Bouhedma, S.; Hu, S.; Schütz, A.; Lange, F.; Bechtold, T.; Ouali, M.; Hohlfeld, D. Analysis and Characterization of Optimized Dual-Frequency Vibration Energy Harvesters for Low-Power Industrial Applications. Micromachines 2022, 13, 1078. https://doi.org/10.3390/mi13071078

AMA Style

Bouhedma S, Hu S, Schütz A, Lange F, Bechtold T, Ouali M, Hohlfeld D. Analysis and Characterization of Optimized Dual-Frequency Vibration Energy Harvesters for Low-Power Industrial Applications. Micromachines. 2022; 13(7):1078. https://doi.org/10.3390/mi13071078

Chicago/Turabian Style

Bouhedma, Sofiane, Siyang Hu, Arwed Schütz, Fred Lange, Tamara Bechtold, Mohammed Ouali, and Dennis Hohlfeld. 2022. "Analysis and Characterization of Optimized Dual-Frequency Vibration Energy Harvesters for Low-Power Industrial Applications" Micromachines 13, no. 7: 1078. https://doi.org/10.3390/mi13071078

APA Style

Bouhedma, S., Hu, S., Schütz, A., Lange, F., Bechtold, T., Ouali, M., & Hohlfeld, D. (2022). Analysis and Characterization of Optimized Dual-Frequency Vibration Energy Harvesters for Low-Power Industrial Applications. Micromachines, 13(7), 1078. https://doi.org/10.3390/mi13071078

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