LAPSE:2023.21043
Published Article

LAPSE:2023.21043
Dynamic Modeling and Structural Optimization of a Bistable Electromagnetic Vibration Energy Harvester
March 21, 2023
Abstract
A novel bistable electromagnetic vibration energy harvester (BEMH) is constructed and optimized in this study, based on a nonlinear system consisting mainly of a flexible membrane and a magnetic spring. A large-amplitude transverse vibration equation of the system is established with the general nonlinear geometry and magnetic force. Firstly, the mathematical model, considering the higher-order nonlinearities given by nonlinear Galerkin method, is applied to a membrane with a co-axial magnet mass and magnetic spring. Secondly, the steady vibration response of the membrane subjected to a harmonic base motion is obtained, and then the output power considering electromagnetic effect is analytically derived. On this basis, a parametric study in a broad frequency domain has been achieved for the BEMH with different radius ratios and membrane thicknesses. It is demonstrated that model predictions are both in close agreement with results from the finite element simulation and experiment data. Finally, the proposed efficient solution method is used to obtain an optimizing strategy for the design of multi-stable energy harvesters with the similar flexible structure.
A novel bistable electromagnetic vibration energy harvester (BEMH) is constructed and optimized in this study, based on a nonlinear system consisting mainly of a flexible membrane and a magnetic spring. A large-amplitude transverse vibration equation of the system is established with the general nonlinear geometry and magnetic force. Firstly, the mathematical model, considering the higher-order nonlinearities given by nonlinear Galerkin method, is applied to a membrane with a co-axial magnet mass and magnetic spring. Secondly, the steady vibration response of the membrane subjected to a harmonic base motion is obtained, and then the output power considering electromagnetic effect is analytically derived. On this basis, a parametric study in a broad frequency domain has been achieved for the BEMH with different radius ratios and membrane thicknesses. It is demonstrated that model predictions are both in close agreement with results from the finite element simulation and experiment data. Finally, the proposed efficient solution method is used to obtain an optimizing strategy for the design of multi-stable energy harvesters with the similar flexible structure.
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Keywords
design and optimization, dynamic response, electromagnetic vibration energy harvester, nonlinear Galerkin method, output power
Subject
Suggested Citation
Zhang B, Zhang Q, Wang W, Han J, Tang X, Gu F, Ball AD. Dynamic Modeling and Structural Optimization of a Bistable Electromagnetic Vibration Energy Harvester. (2023). LAPSE:2023.21043
Author Affiliations
Zhang B: Tianjin Key Laboratory of Nonlinear Dynamics and Control, School of Mechanical Engineering, Tianjin University, Tianjin 300350, China
Zhang Q: Tianjin Key Laboratory of Nonlinear Dynamics and Control, School of Mechanical Engineering, Tianjin University, Tianjin 300350, China
Wang W: Tianjin Key Laboratory of Nonlinear Dynamics and Control, School of Mechanical Engineering, Tianjin University, Tianjin 300350, China
Han J: Tianjin Key Laboratory of High Speed Cutting and Precision Machining, School of Mechanical Engineering, Tianjin University of Technology and Education, Tianjin 300222, China [ORCID]
Tang X: School of Computing and Engineering, Huddersfield University, Queensgate, Huddersfield HD 1 3DH, UK [ORCID]
Gu F: School of Computing and Engineering, Huddersfield University, Queensgate, Huddersfield HD 1 3DH, UK [ORCID]
Ball AD: School of Computing and Engineering, Huddersfield University, Queensgate, Huddersfield HD 1 3DH, UK [ORCID]
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Zhang Q: Tianjin Key Laboratory of Nonlinear Dynamics and Control, School of Mechanical Engineering, Tianjin University, Tianjin 300350, China
Wang W: Tianjin Key Laboratory of Nonlinear Dynamics and Control, School of Mechanical Engineering, Tianjin University, Tianjin 300350, China
Han J: Tianjin Key Laboratory of High Speed Cutting and Precision Machining, School of Mechanical Engineering, Tianjin University of Technology and Education, Tianjin 300222, China [ORCID]
Tang X: School of Computing and Engineering, Huddersfield University, Queensgate, Huddersfield HD 1 3DH, UK [ORCID]
Gu F: School of Computing and Engineering, Huddersfield University, Queensgate, Huddersfield HD 1 3DH, UK [ORCID]
Ball AD: School of Computing and Engineering, Huddersfield University, Queensgate, Huddersfield HD 1 3DH, UK [ORCID]
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Journal Name
Energies
Volume
12
Issue
12
Article Number
E2410
Year
2019
Publication Date
2019-06-23
ISSN
1996-1073
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Original Submission
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PII: en12122410, Publication Type: Journal Article
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LAPSE:2023.21043
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https://doi.org/10.3390/en12122410
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