Fast Lumped Parameter Identification of Linear EMVEH Based on Thevenin Equivalent Measurement and Five-Point Extraction Algorithm

The lumped parameter model of linear electromagnetic vibration energy harvester (EMVEH) is commonly employed, however, identifying the model parameters is a tedious task. Therefore, this article proposes a fast-lumped parameter identification method for linear EMVEHs. The proposed method only requires Thevenin equivalent measurement to prepare the original data, including open-circuit voltage and output impedance. It is mainly based on electrical measurement and does not require a laser vibrometer. Also, a five-point extraction algorithm is introduced to explore the information of parameters from the impedance data. It is analytical rather than simple curve fitting. The theoretical derivations, proof of principle, and simulation of the method are fully presented. In addition, the experimental validations are also performed on an unpackaged and another packaged EMVEH prototype, which can confirm the feasibility of the proposed method. Compared with existing methods, the proposed method not only can achieve the same test accuracy, but also can offer high technical applicability, and operation convenience, which can be applied to packaged EMVEHs and rapid measurement in the industrial field.

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Publication Details

Journal
IEEE Transactions on Power Electronics
Published
2024-08-29
DOI
https://doi.org/10.1109/tpel.2024.3451485
Citations
1
Primary Topic
Advanced Sensor and Control Systems
Type
article
Field-Weighted Citation Impact
0.33

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article

Fast Lumped Parameter Identification of Linear EMVEH Based on Thevenin Equivalent Measurement and Five-Point Extraction Algorithm

Libo Qian, Yinshui Xia, Xiudeng Wang, Zhidong Chen et al.
1 citations
IEEE Transactions on Power Electronics
Advanced Sensor and Control Systems
0.33
article

Fast Lumped Parameter Identification of Linear EMVEH Based on Thevenin Equivalent Measurement and Five-Point Extraction Algorithm

Libo Qian, Yinshui Xia, Xiudeng Wang, Zhidong Chen, Ge Shi, Huakang Xia
article en
1 citations

Abstract

The lumped parameter model of linear electromagnetic vibration energy harvester (EMVEH) is commonly employed, however, identifying the model parameters is a tedious task. Therefore, this article proposes a fast-lumped parameter identification method for linear EMVEHs. The proposed method only requires Thevenin equivalent measurement to prepare the original data, including open-circuit voltage and output impedance. It is mainly based on electrical measurement and does not require a laser vibrometer. Also, a five-point extraction algorithm is introduced to explore the information of parameters from the impedance data. It is analytical rather than simple curve fitting. The theoretical derivations, proof of principle, and simulation of the method are fully presented. In addition, the experimental validations are also performed on an unpackaged and another packaged EMVEH prototype, which can confirm the feasibility of the proposed method. Compared with existing methods, the proposed method not only can achieve the same test accuracy, but also can offer high technical applicability, and operation convenience, which can be applied to packaged EMVEHs and rapid measurement in the industrial field.

IEEE Transactions on Power ElectronicsVol. 39(12)
Ningbo University (CN), Zhejiang Wanli University (CN), Xidian University (CN), China Jiliang University (CN)
National Natural Science Foundation of China, Natural Science Foundation of Ningbo, K. C. Wong Magna Fund in Ningbo University, Natural Science Foundation of Zhejiang Province
Openalex Percentile: Top 43%
Advanced Sensor and Control Systems
0.33
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