[{"content":"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).\nHis 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.\nEducation 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\u0026rsquo;s students are welcome to join, especially those interested in machine analysis \u0026amp; design, machine loss and thermal modeling, and machine control.\n","permalink":"https://myedrive.top/en/about/","summary":"\u003cp\u003eZhiyu 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).\u003c/p\u003e\n\u003cp\u003eHis research focuses on \u003cstrong\u003eelectromagnetic–thermal coupled modeling and intelligent thermal management of high-power-density permanent-magnet (PM) machines\u003c/strong\u003e, following the chain: harmonic loss → lumped-parameter thermal network (LPTN) → global temperature sensing → closed-loop thermal management.\u003c/p\u003e\n\u003ch2 id=\"education\"\u003eEducation\u003c/h2\u003e\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003e2017.9–2023.7\u003c/strong\u003e　Ph.D. in Electrical Engineering, Southeast University (advisor: Prof. Weiming Ma, academician)\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003e2014.9–2017.3\u003c/strong\u003e　M.Eng. in Electrical Engineering, Beihang University\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003e2010.9–2014.7\u003c/strong\u003e　B.Eng. in Electrical Engineering and Automation, China University of Mining and Technology (Beijing)\u003c/li\u003e\n\u003c/ul\u003e\n\u003ch2 id=\"employment\"\u003eEmployment\u003c/h2\u003e\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003e2023.8–present\u003c/strong\u003e　Lecturer, School of Automation, NUIST\u003c/li\u003e\n\u003c/ul\u003e\n\u003ch2 id=\"students\"\u003eStudents\u003c/h2\u003e\n\u003cp\u003eMaster\u0026rsquo;s students are welcome to join, especially those interested in machine analysis \u0026amp; design, machine loss and thermal modeling, and machine control.\u003c/p\u003e","title":"About"},{"content":"Contact Email: zysheng@nuist.edu.cn Address: School of Automation, Nanjing University of Information Science and Technology Students interested in machine analysis \u0026amp; design, machine loss and thermal modeling, or machine control are welcome to get in touch.\n","permalink":"https://myedrive.top/en/contact/","summary":"\u003ch2 id=\"contact\"\u003eContact\u003c/h2\u003e\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eEmail\u003c/strong\u003e: \u003ca href=\"mailto:zysheng@nuist.edu.cn\"\u003ezysheng@nuist.edu.cn\u003c/a\u003e\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eAddress\u003c/strong\u003e: School of Automation, Nanjing University of Information Science and Technology\u003c/li\u003e\n\u003c/ul\u003e\n\u003cp\u003eStudents interested in machine analysis \u0026amp; design, machine loss and thermal modeling, or machine control are welcome to get in touch.\u003c/p\u003e","title":"Contact"},{"content":"Materials are being organized.\n","permalink":"https://myedrive.top/en/materials/","summary":"\u003cp\u003eMaterials are being organized.\u003c/p\u003e","title":"Materials"},{"content":"Journal Papers Z. Sheng, D. Wang, J. Fu, J. Hu, \u0026ldquo;A Computationally Efficient Spatial Online Temperature Prediction Method for PM Machines,\u0026rdquo; IEEE Transactions on Industrial Electronics, 2022. (SCI)\nZ. Sheng, D. Wang, \u0026ldquo;Computationally Efficient Hybrid PM Loss Prediction Method for Surface-Mounted Permanent Magnet Machine over Entire Working Conditions,\u0026rdquo; IET Electric Power Applications, 2020. (SCI)\nZ. Sheng, D. Wang, \u0026ldquo;Design and Analysis of a Kind of Rotor Ironless High Torque Density Machine Using Alnico Magnet,\u0026rdquo; IET Electric Power Applications, 2020. (SCI)\nConference Papers Z. Sheng, D. Wang, J. Fu, \u0026ldquo;A Computationally Efficient Loss Prediction Method for PWM VSI Driven PM Machine over Full Working Conditions,\u0026rdquo; 2021 IEEE 12th Energy Conversion Congress \u0026amp; Exposition - Asia (ECCE-Asia), 2021. (EI)\nH. Lin, Z. Sheng, D. Wang, \u0026ldquo;A Kind of Node Number Selection Method for Electrical Machine Lumped-Parameter Thermal Model Based on the Systematic Bias,\u0026rdquo; 2021 20th IEEE Intersociety Conference on Thermal and Thermomechanical Phenomena in Electronic Systems (iTherm), 2021. (EI)\n","permalink":"https://myedrive.top/en/publications/","summary":"\u003ch2 id=\"journal-papers\"\u003eJournal Papers\u003c/h2\u003e\n\u003col\u003e\n\u003cli\u003e\n\u003cp\u003e\u003cstrong\u003eZ. Sheng\u003c/strong\u003e, D. Wang, J. Fu, J. Hu, \u0026ldquo;A Computationally Efficient Spatial Online Temperature Prediction Method for PM Machines,\u0026rdquo; \u003cem\u003eIEEE Transactions on Industrial Electronics\u003c/em\u003e, 2022. (SCI)\u003c/p\u003e\n\u003c/li\u003e\n\u003cli\u003e\n\u003cp\u003e\u003cstrong\u003eZ. Sheng\u003c/strong\u003e, D. Wang, \u0026ldquo;Computationally Efficient Hybrid PM Loss Prediction Method for Surface-Mounted Permanent Magnet Machine over Entire Working Conditions,\u0026rdquo; \u003cem\u003eIET Electric Power Applications\u003c/em\u003e, 2020. (SCI)\u003c/p\u003e\n\u003c/li\u003e\n\u003cli\u003e\n\u003cp\u003e\u003cstrong\u003eZ. Sheng\u003c/strong\u003e, D. Wang, \u0026ldquo;Design and Analysis of a Kind of Rotor Ironless High Torque Density Machine Using Alnico Magnet,\u0026rdquo; \u003cem\u003eIET Electric Power Applications\u003c/em\u003e, 2020. (SCI)\u003c/p\u003e\n\u003c/li\u003e\n\u003c/ol\u003e","title":"Publications"},{"content":"Main Line Electromagnetic–thermal coupled modeling and intelligent thermal management of high-power-density PM machines\nResearch chain (closed loop):\nHarmonic loss → LPTN → Temperature sensing → Thermal management\nFour Research Directions Current-spectrum analysis Analytical spectrum modeling of motor current/voltage under PWM supply, providing inputs for harmonic loss computation.\nHarmonic loss analysis Analytical calculation of iron loss and copper loss caused by PWM harmonics.\nLPTN mismatch robustness Lumped-parameter thermal network (LPTN) modeling and its robustness against parameter mismatch.\nGlobal temperature sensing Global temperature sensing of the machine and closed-loop intelligent thermal management.\n","permalink":"https://myedrive.top/en/research/","summary":"\u003ch2 id=\"main-line\"\u003eMain Line\u003c/h2\u003e\n\u003cp\u003e\u003cstrong\u003eElectromagnetic–thermal coupled modeling and intelligent thermal management of high-power-density PM machines\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eResearch chain (closed loop):\u003c/p\u003e\n\u003cblockquote\u003e\n\u003cp\u003eHarmonic loss → LPTN → Temperature sensing → Thermal management\u003c/p\u003e\n\u003c/blockquote\u003e\n\u003ch2 id=\"four-research-directions\"\u003eFour Research Directions\u003c/h2\u003e\n\u003col\u003e\n\u003cli\u003e\n\u003cp\u003e\u003cstrong\u003eCurrent-spectrum analysis\u003c/strong\u003e\nAnalytical spectrum modeling of motor current/voltage under PWM supply, providing inputs for harmonic loss computation.\u003c/p\u003e\n\u003c/li\u003e\n\u003cli\u003e\n\u003cp\u003e\u003cstrong\u003eHarmonic loss analysis\u003c/strong\u003e\nAnalytical calculation of iron loss and copper loss caused by PWM harmonics.\u003c/p\u003e\n\u003c/li\u003e\n\u003cli\u003e\n\u003cp\u003e\u003cstrong\u003eLPTN mismatch robustness\u003c/strong\u003e\nLumped-parameter thermal network (LPTN) modeling and its robustness against parameter mismatch.\u003c/p\u003e\n\u003c/li\u003e\n\u003cli\u003e\n\u003cp\u003e\u003cstrong\u003eGlobal temperature sensing\u003c/strong\u003e\nGlobal temperature sensing of the machine and closed-loop intelligent thermal management.\u003c/p\u003e\n\u003c/li\u003e\n\u003c/ol\u003e","title":"Research"}]