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Open Access

Simulation-based parameter optimization and development of a split-core fluxgate DC current sensor

Dechao YANG1, Junjiang SHI1, Zhengang ZHAO1,2( ), Yingjie HOU1, Kuisong YANG1, Xin JIANG1
Faculty of Information Engineering and Automation, Kunming University of Science and Technology, Kunming 650500, China
Yunnan Key Laboratory of Green Energy, Electric Power Measurement Digitalization, Control and Protection, Kunming 650500, China
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Abstract

Fluxgate current sensors (FGCSs) are increasingly employed in power systems due to their high-precision characteristics, yet their measurement flexibility remains constrained by conventional closed-core designs. To address this limitation, we proposed a split-core sensor structure comprising four magnetic core strips, which achieved non-intrusive current measurement while maintaining detection accuracy. An analytical model of the induced electromotive force was established based on the probe’s geometric configuration, followed by finite element simulations to optimize key parameters including core radius, core width, excitation coil turns, and sensing coil configuration. A complete prototype integrating the measurement probe, excitation circuit, and signal processing circuitry was developed and experimentally validated. The experimental results show a sensitivity of 0.1099 V/A, a hysteresis error of 0.559%, and a repeatability error of 1.574% over a measurement range of ±10 A. After polynomial fitting-based error compensation, the nonlinearity error was reduced to 0.208%, achieving performance comparable to closed-core sensors. This work provided a practical solution for applications demanding both high measurement accuracy and installation flexibility.

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Journal of Measurement Science and Instrumentation
Pages 588-602

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Cite this article:
YANG D, SHI J, ZHAO Z, et al. Simulation-based parameter optimization and development of a split-core fluxgate DC current sensor. Journal of Measurement Science and Instrumentation, 2025, 16(4): 588-602. https://doi.org/10.62756/jmsi.1674-8042.2025057

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Received: 09 February 2025
Revised: 03 April 2025
Accepted: 12 May 2025
Published: 01 December 2025
© The Author(s) 2025.

The articles published in this open access journal are distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits use, distribution and reproduction in any medium, provided the original work is properly cited.