Zhiyu Sheng https://myedrive.top/en/ Recent content on Zhiyu Sheng Hugo en-US About https://myedrive.top/en/about/ Mon, 01 Jan 0001 00:00:00 +0000 https://myedrive.top/en/about/ About Zhiyu Sheng Zhiyu Sheng, a member of the Communist Party of China, is a lecturer at the School of Automation, Nanjing University of Information Science and Technology (NUIST).

His research focuses on electromagnetic–thermal coupled modeling and intelligent thermal management of high-power-density permanent-magnet (PM) machines, following the chain: harmonic loss → lumped-parameter thermal network (LPTN) → global temperature sensing → closed-loop thermal management.

Education

  • 2017.9–2023.7　Ph.D. in Electrical Engineering, Southeast University (advisor: Prof. Weiming Ma, academician)
  • 2014.9–2017.3　M.Eng. in Electrical Engineering, Beihang University
  • 2010.9–2014.7　B.Eng. in Electrical Engineering and Automation, China University of Mining and Technology (Beijing)

Employment

  • 2023.8–present　Lecturer, School of Automation, NUIST

Students

Master’s students are welcome to join, especially those interested in machine analysis & design, machine loss and thermal modeling, and machine control.

]]> Contact https://myedrive.top/en/contact/ Mon, 01 Jan 0001 00:00:00 +0000 https://myedrive.top/en/contact/ Contact information Contact
  • Email: zysheng@nuist.edu.cn
  • Address: School of Automation, Nanjing University of Information Science and Technology

Students interested in machine analysis & design, machine loss and thermal modeling, or machine control are welcome to get in touch.

]]> Materials https://myedrive.top/en/materials/ Mon, 01 Jan 0001 00:00:00 +0000 https://myedrive.top/en/materials/ Shared materials Materials are being organized.

]]> Publications https://myedrive.top/en/publications/ Mon, 01 Jan 0001 00:00:00 +0000 https://myedrive.top/en/publications/ Publications and outputs Journal Papers

  1. Z. Sheng, D. Wang, J. Fu, J. Hu, “A Computationally Efficient Spatial Online Temperature Prediction Method for PM Machines,” IEEE Transactions on Industrial Electronics, 2022. (SCI)

  2. Z. Sheng, D. Wang, “Computationally Efficient Hybrid PM Loss Prediction Method for Surface-Mounted Permanent Magnet Machine over Entire Working Conditions,” IET Electric Power Applications, 2020. (SCI)

  3. Z. Sheng, D. Wang, “Design and Analysis of a Kind of Rotor Ironless High Torque Density Machine Using Alnico Magnet,” IET Electric Power Applications, 2020. (SCI)

Conference Papers

  1. Z. Sheng, D. Wang, J. Fu, “A Computationally Efficient Loss Prediction Method for PWM VSI Driven PM Machine over Full Working Conditions,” 2021 IEEE 12th Energy Conversion Congress & Exposition - Asia (ECCE-Asia), 2021. (EI)

  2. H. Lin, Z. Sheng, D. Wang, “A Kind of Node Number Selection Method for Electrical Machine Lumped-Parameter Thermal Model Based on the Systematic Bias,” 2021 20th IEEE Intersociety Conference on Thermal and Thermomechanical Phenomena in Electronic Systems (iTherm), 2021. (EI)

]]> Research https://myedrive.top/en/research/ Mon, 01 Jan 0001 00:00:00 +0000 https://myedrive.top/en/research/ Research directions Main Line

Electromagnetic–thermal coupled modeling and intelligent thermal management of high-power-density PM machines

Research chain (closed loop):

Harmonic loss → LPTN → Temperature sensing → Thermal management

Four Research Directions

  1. Current-spectrum analysis Analytical spectrum modeling of motor current/voltage under PWM supply, providing inputs for harmonic loss computation.

  2. Harmonic loss analysis Analytical calculation of iron loss and copper loss caused by PWM harmonics.

  3. LPTN mismatch robustness Lumped-parameter thermal network (LPTN) modeling and its robustness against parameter mismatch.

  4. Global temperature sensing Global temperature sensing of the machine and closed-loop intelligent thermal management.

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