A Refined Analytical Approach for Precise Estimation of Parasitic Capacitance in Current Sensors with Powder Cores

Powder magnetic cores substantially enhance Rogowski current sensors by improving sensitivity, signal quality, and form factor; however, they introduce problematic parasitic capacitance effects that compromise performance. Accurate modeling of these parasitic effects remains crucial for optimizing sensor design. This paper examines powder core electromagnetic characteristics, detailing the complex relationship between material properties, physical dimensions, and resulting electromagnetic field distributions. We extend conventional analytical frameworks by developing correction factors that account for previously neglected non-linear electric field coupling phenomena. These factors, derived through systematic finite element method (FEM) simulations, enable significantly improved parasitic capacitance prediction. Experimental validation using six distinct prototype configurations demonstrates the superior accuracy of our approach compared to traditional methods, particularly as geometric complexity increases.

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Published
2025-04-25
DOI
https://doi.org/10.1109/nesp65198.2025.11040833
Primary Topic
Sensor Technology and Measurement Systems
Type
article
Field-Weighted Citation Impact
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article

A Refined Analytical Approach for Precise Estimation of Parasitic Capacitance in Current Sensors with Powder Cores

Zhenliang Ye, She Wang, Ximing Gao, Qiancheng Lv et al.
Sensor Technology and Measurement Systems
article

A Refined Analytical Approach for Precise Estimation of Parasitic Capacitance in Current Sensors with Powder Cores

Zhenliang Ye, She Wang, Ximing Gao, Qiancheng Lv, Bing Tian, Haiqian Chen, Qian Zhang, Jiguang Zhao, Liang Zhao, Zhiming Gu
article en

Abstract

Powder magnetic cores substantially enhance Rogowski current sensors by improving sensitivity, signal quality, and form factor; however, they introduce problematic parasitic capacitance effects that compromise performance. Accurate modeling of these parasitic effects remains crucial for optimizing sensor design. This paper examines powder core electromagnetic characteristics, detailing the complex relationship between material properties, physical dimensions, and resulting electromagnetic field distributions. We extend conventional analytical frameworks by developing correction factors that account for previously neglected non-linear electric field coupling phenomena. These factors, derived through systematic finite element method (FEM) simulations, enable significantly improved parasitic capacitance prediction. Experimental validation using six distinct prototype configurations demonstrates the superior accuracy of our approach compared to traditional methods, particularly as geometric complexity increases.

China Aluminum International Engineering Corporation Limited (China) (CN), China Southern Power Grid (China) (CN)
National Key Research and Development Program of China
Affordable and clean energy
Openalex Percentile: Top 84%
Sensor Technology and Measurement Systems
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