A 20-MHz Wideband Current Sensor Utilizing a Frequency Band Optimized Tunnel Magnetoresistance Bridge Chip

The demand for innovative digital grid technologies necessitates the development of high-frequency (HF) current measurement techniques, extending into the tens of MHz range, to enhance power grid monitoring capabilities and monitor discharges in power equipment. However, monitoring of HF partial discharge current remains challenging for the current sensor because of the limitations imposed by the restricted bandwidth of the magnetoresistance chip and the back-end circuitry of the sensor. Therefore, a 20-MHz wideband current sensor is designed employing a tunnel magnetoresistance (TMR) bridge chip optimized for the frequency band. The factors that affect the bandwidth limitation of TMR current sensors are examined. On one hand, by enhancing the frequency response of the TMR chip, we successfully fabricated chips with a bandwidth exceeding 50 MHz, representing a significant improvement compared to commercially available chips limited to only a few megahertz. On the other hand, optimization strategies were implemented for expanding the bandwidth of printed circuit board (PCB) integrated TMR current sensors, resulting in a maximum achievable bandwidth of up to 20 MHz. The developed sensors were tested to measure the discharge current in a needle-plane electrode, thereby confirming their suitability for HF discharge current measurement.

Authors

Institutions

Publication Details

Journal
IEEE Sensors Journal
Published
2025-01-16
DOI
https://doi.org/10.1109/jsen.2025.3527496
Citations
3
Primary Topic
Magnetic Field Sensors Techniques
Type
article
Field-Weighted Citation Impact
2.19

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

A 20-MHz Wideband Current Sensor Utilizing a Frequency Band Optimized Tunnel Magnetoresistance Bridge Chip

Shilin Wu, Xinting Liu, Ran Bi, Qingren Jin et al.
3 citations
IEEE Sensors Journal
Magnetic Field Sensors Techniques
2.19
article

A 20-MHz Wideband Current Sensor Utilizing a Frequency Band Optimized Tunnel Magnetoresistance Bridge Chip

Shilin Wu, Xinting Liu, Ran Bi, Qingren Jin, Jun Hu, Haoyu Ma, Huiquan Zhang, Baihua Lu, Yong Ouyang, Ke Zhou, Shi Pan
article en
3 citations

Abstract

The demand for innovative digital grid technologies necessitates the development of high-frequency (HF) current measurement techniques, extending into the tens of MHz range, to enhance power grid monitoring capabilities and monitor discharges in power equipment. However, monitoring of HF partial discharge current remains challenging for the current sensor because of the limitations imposed by the restricted bandwidth of the magnetoresistance chip and the back-end circuitry of the sensor. Therefore, a 20-MHz wideband current sensor is designed employing a tunnel magnetoresistance (TMR) bridge chip optimized for the frequency band. The factors that affect the bandwidth limitation of TMR current sensors are examined. On one hand, by enhancing the frequency response of the TMR chip, we successfully fabricated chips with a bandwidth exceeding 50 MHz, representing a significant improvement compared to commercially available chips limited to only a few megahertz. On the other hand, optimization strategies were implemented for expanding the bandwidth of printed circuit board (PCB) integrated TMR current sensors, resulting in a maximum achievable bandwidth of up to 20 MHz. The developed sensors were tested to measure the discharge current in a needle-plane electrode, thereby confirming their suitability for HF discharge current measurement.

IEEE Sensors JournalVol. 25(5)
Tsinghua University (CN)
National Natural Science Foundation of China, National Key Research and Development Program of China
Affordable and clean energy
Openalex Percentile: Top 14%
Magnetic Field Sensors Techniques
2.19
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.