Theoretical Modeling of Magnetic Spring-Based Electromagnetic Energy Harvesters for Electrified Transportation Sensors: Analysis, Optimization, and Experimental Verification

Traditional electromagnetic vibration energy harvesters (EMVEHs) typically exhibit a low output power and operate at a single frequency. As a result, they are only capable of harvesting energy at a specific frequency from the environment, which hinders further application of EMVEHs in practice. To address this vital problem, this article proposes an enhanced magnetic spring-based EMVEH, which uses the multi-magnet structure with repelling magnetic poles to significantly improve the output power of the harvester. Complete theoretical models of the designed EMVEH are developed, which can accurately characterize the magnetic force and coil magnetic flux. In addition, magnetic field characteristics and kinematic properties of multi-magnet structures are fully analyzed. The magnets and coils are optimized based on the developed model and analysis. Meanwhile, the optimal configuration of magnets and coils is obtained by theoretical results in different cases. Experiments validate the effectiveness of the theoretical model and the optimization method. The results show that the EMF and output power have improved by 2.4 times and 5 times after optimization in case I. The EMF and output power of the optimal configuration of magnets and coils in case II have increased by 1.3 times and 2.07 times, respectively. The model developed in this article serves as a guideline to design and optimize the EMVEH with a multi-magnet structure of any volume.

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Publication Details

Journal
IEEE Transactions on Power Electronics
Published
2025-08-25
DOI
https://doi.org/10.1109/tpel.2025.3602439
Primary Topic
Wireless Power Transfer Systems
Type
article
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article

Theoretical Modeling of Magnetic Spring-Based Electromagnetic Energy Harvesters for Electrified Transportation Sensors: Analysis, Optimization, and Experimental Verification

Zhengyou He, Junwei Liu, Wenfei Yang, Yong Li et al.
IEEE Transactions on Power Electronics
Wireless Power Transfer Systems
article

Theoretical Modeling of Magnetic Spring-Based Electromagnetic Energy Harvesters for Electrified Transportation Sensors: Analysis, Optimization, and Experimental Verification

Zhengyou He, Junwei Liu, Wenfei Yang, Yong Li, Jiayi Wang
article en

Abstract

Traditional electromagnetic vibration energy harvesters (EMVEHs) typically exhibit a low output power and operate at a single frequency. As a result, they are only capable of harvesting energy at a specific frequency from the environment, which hinders further application of EMVEHs in practice. To address this vital problem, this article proposes an enhanced magnetic spring-based EMVEH, which uses the multi-magnet structure with repelling magnetic poles to significantly improve the output power of the harvester. Complete theoretical models of the designed EMVEH are developed, which can accurately characterize the magnetic force and coil magnetic flux. In addition, magnetic field characteristics and kinematic properties of multi-magnet structures are fully analyzed. The magnets and coils are optimized based on the developed model and analysis. Meanwhile, the optimal configuration of magnets and coils is obtained by theoretical results in different cases. Experiments validate the effectiveness of the theoretical model and the optimization method. The results show that the EMF and output power have improved by 2.4 times and 5 times after optimization in case I. The EMF and output power of the optimal configuration of magnets and coils in case II have increased by 1.3 times and 2.07 times, respectively. The model developed in this article serves as a guideline to design and optimize the EMVEH with a multi-magnet structure of any volume.

IEEE Transactions on Power ElectronicsVol. 41(1)
Hong Kong Polytechnic University (HK), Southwest Jiaotong University (CN)
Affordable and clean energy
Openalex Percentile: Top 79%
Wireless Power Transfer Systems
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Theoretical Modeling of Magnetic Spring-Based Electromagnetic Energy Harvesters for Electrified Transportation Sensors: Analysis, Optimization, and Experimental Verification — Zhengyou He, Junwei Liu, et al. · IEEE Transactions on Power Electronics (2025) | TGRS Research Map | TGRS