Sujie Liu

Sujie Liu

*This is an algorithmically generated author record based on publicly available information.

Sujie Liu has a total of 19 co-authors. Here are the top co-authors by number of shared publications:

  • Fuchao Li

    State Grid Sichuan Electric Power Company, Chengdu 610041, China

    2 shared publications
  • Yifei Zhou

    State Grid Sichuan Electric Power Company, Chengdu 610041, China

    2 shared publications
  • Bomin Lin

    State Key Laboratory for Manufacturing Systems Engineering, Electronic Materials Research Laboratory, Key Laboratory of the Ministry of Education, Engineering Research Center of Spin Quantum Sensor Chips, Universities of Shaanxi Province, School of Electronic Science and Engineering, Xi’an Jiaotong University, Xi’an 710049, China

    1 shared publication
  • Jiacheng Qiao

    State Key Laboratory for Manufacturing Systems Engineering, Electronic Materials Research Laboratory, Key Laboratory of the Ministry of Education, Engineering Research Center of Spin Quantum Sensor Chips, Universities of Shaanxi Province, School of Electronic Science and Engineering, Xi’an Jiaotong University, Xi’an 710049, China

    1 shared publication
  • Jiefu Zhang

    State Grid Sichuan Electric Power Company, Chengdu 610041, China

    1 shared publication
  • Jieqiang Gao

    State Key Laboratory for Manufacturing Systems Engineering, Electronic Materials Research Laboratory, Key Laboratory of the Ministry of Education, Engineering Research Center of Spin Quantum Sensor Chips, Universities of Shaanxi Province, School of Electronic Science and Engineering, Xi’an Jiaotong University, Xi’an 710049, China

    1 shared publication

Latest Publications

  • Open Access

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

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

    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.


  • Open Access

    Magnetoelectric Sensor Operating in d15 Thickness-Shear Mode for High-Frequency Current Detection

    by Fuchao Li, Jingen Wu, Sujie Liu, Jieqiang Gao, Bomin Lin, Jintao Mo, Jiacheng Qiao, Yiwei Xu, Yongjun Du, Xin He, et al.

    For the application of high-frequency current detection in power systems, such as very fast transient current, lightning current, partial discharge pulse current, etc., current sensors with a quick response are indispensable. Here, we propose a high-frequency magnetoelectric current sensor, which consists of a PZT piezoelectric ceramic and Metglas amorphous alloy. The proposed sensor is designed to work under d15 thickness-shear mode, with the resonant frequency around 1.029 MHz. Furthermore, the proposed sensor is fabricated as a high-frequency magnetoelectric current sensor. A comparative experiment is carried out between the tunnel magnetoresistance sensor and the magnetoelectric sensor, in the aspect of high-frequency current detection up to 3 MHz. Our experimental results demonstrate that the d15 thickness-shear mode magnetoelectric sensor has great potential for high-frequency current detection in smart grids.