Evidence map›Paper›PMID 41374627›Full record

ArticleSensors (Basel, Switzerland)2025

A Wide Dynamic Range Current Sensor Based on Torque-Mode Magnetoelectric Coupling Effect.

Fuchao Li, Zihuan Huang, Yuan Meng, Yifei Zhou, Jiefu Zhang, Sujie Liu, Qiang Shi, Ziyang Ye, Lin Huang

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Fuchao LiState Grid Sichuan Electric Power Company, Chengdu 610041, China.ORCID 0000-0003-2330-9054
Zihuan HuangState Grid Sichuan Electric Power Company, Chengdu 610041, China.ORCID 0009-0009-8964-4745
Yuan MengState Grid Sichuan Electric Power Company, Chengdu 610041, China.
Yifei ZhouState Grid Sichuan Electric Power Company, Chengdu 610041, China.
Jiefu ZhangState Grid Sichuan Electric Power Company, Chengdu 610041, China.
Sujie LiuState Grid Sichuan Electric Power Company, Chengdu 610041, China.ORCID 0009-0001-7297-3448
Qiang ShiState Grid Sichuan Electric Power Company, Chengdu 610041, China.
Ziyang YeState Grid Sichuan Electric Power Company, Chengdu 610041, China.ORCID 0009-0005-9685-6595
Lin HuangState Grid Sichuan Electric Power Company, Chengdu 610041, China.ORCID 0000-0002-7618-7970

Funding

State Grid Sichuan Electric Power Company State Grid Sichuan Electric Power Company Science and Technology Project: 52199723000U
6 · The paper itself

Abstract

The load current of the new power system has significant characteristics on a wide dynamic range, which poses challenges to current sensing technologies. This paper proposes a magnetic-sensitive element based on NdFeB/Lead Zirconate Titanate (PZT) magnetoelectric composite materials, and further develops a magnetoelectric coupling current sensor. The sensor operates in torque mode, enabling the detection of both wide dynamic range alternating currents and weak alternating currents. Experimental studies show that the sensor achieved a power-frequency current detection sensitivity of 15.56 mV/A, a linear range of (0-120) A, and a detection limit of 153 μA. The results indicate that the sensor exhibits high sensitivity in alternating current (AC) current detection, and at power frequency, possesses both a wide dynamic range and the capability to detect weak currents. Therefore, it shows great application potential in scenarios such as wide dynamic range AC current measurement and weak current detection in power systems.

Indexed as

current sensormagnetoelectric composite materialNdFeB/PZTtorque mode

Identifiers

PMID41374627
PMCPMC12693923

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.