Analysis and Mathematical Models of Canned Electrical Machine Drives

1. Front Matter

   Pages i-xxiv

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2. Overview of Canned Electrical Machines

   • Qiang Yu, Xuesong Wang, Yuhu Cheng, Lisi Tian

   Pages 1-11

3. Electromagnetic Analysis of Saliency and Can Effect by Network Models

   • Qiang Yu, Xuesong Wang, Yuhu Cheng, Lisi Tian

   Pages 13-56

4. Electromagnetic Analysis of Can Effect of a Canned SRM

   • Qiang Yu, Xuesong Wang, Yuhu Cheng, Lisi Tian

   Pages 57-70

5. An Analytical Model of Concentric Layer Structure for Canned Machines, Part I: Armature Coils

   • Qiang Yu, Xuesong Wang, Yuhu Cheng, Lisi Tian

   Pages 71-112

6. An Analytical Model of Concentric Layer Structure for Canned Machines, Part II: Magnetic Field

   • Qiang Yu, Xuesong Wang, Yuhu Cheng, Lisi Tian

   Pages 113-156

7. Thermal Analysis of a Canned SRM

   • Qiang Yu, Xuesong Wang, Yuhu Cheng, Lisi Tian

   Pages 157-184

8. Conclusions and Future Work

   • Qiang Yu, Xuesong Wang, Yuhu Cheng, Lisi Tian

   Pages 185-187

9. Back Matter

   Pages 189-202

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This book focuses on the electromagnetic and thermal modeling and analysis of electrical machines, especially canned electrical machines for hydraulic pump applications. It addresses both the principles and engineering practice, with more weight placed on mathematical modeling and theoretical analysis. This is achieved by providing in-depth studies on a number of major topics such as: can shield effect analysis, machine geometry optimization, control analysis, thermal and electromagnetic network models, magneto motive force modeling, and spatial magnetic field modeling. For the can shield effect analysis, several cases are studied in detail, including classical canned induction machines, as well as state-of-the-art canned permanent magnet machines and switched reluctance machines. 

The comprehensive and systematic treatment of the can effect for canned electrical machines is one of the major features of this book, which is particularly suited for readers who areinterested in learning about electrical machines, especially for hydraulic pumping, deep-sea exploration, mining and the nuclear power industry. The book offers a valuable resource for researchers, engineers, and graduate students in the fields of electrical machines, magnetic and thermal engineering, etc. 

• Electrical machine
• Canned electrical machine
• Canned switched reluctance machine
• Canned permanent magnet machine Can effect
• Eddy current loss
• Can loss Electromagnetic modeling
• Thermal model
• Coupled analysis Magnetic equivalent circuit
• Saliency effect
• Magnetic saturation Magnetic modeling
• magneto motive force distribution
• Concentric layer structure model Thermal network circuit
• nodal compensation
• coupled analysis

• School of Electrical and Power Engineering, China University of Mining and Technology, Xuzhou, China

  Qiang Yu, Lisi Tian

• School of Information and Control Engineering, China University of Mining and Technology, Xuzhou, China

  Xuesong Wang, Yuhu Cheng

Qiang Yu received his Ph.D. degree from University of Bundeswehr Muenchen, Munich, Germany in 2012. From 2008-2012 he was an engineer in FEAAM GmbH, Neubiberg, Germany, where he hosted the project “design and analysis of high efficient canned switched reluctance machine drives for hydraulic pump drives”, with KSB Aktiengesellschaft, Frankental, Germany. From 2013-2014 he was a postdoctoral research associate at Automotive Resource Center, McMaster University, Ontario, Canada, where he hosted the project “high efficient rare-earth free machine drives”. From 2014-2015 he was a postdoctoral research fellow in Universite Libre de Bruxelles, Brussels, Belgium, with a European funded project “DeMoTest EV” (Design, Modeling and Test of Electrical Vehicles). Currently he is an associate professor in School of Electrical and Power Engineering, China University of Mining and Technology. His main research interests include electromagnetic and thermal analysis of electrical machines, cannedmachine drives and mathematical modeling of electrical machines.

Xuesong Wang received her Ph.D. degree from China University of Mining and Technology in 2002. She is currently a professor in School of Information and Control Engineering, China University of Mining and Technology. Her main research interest includes electrical drives, bioinformatics, and artificial intelligence. In 2008, she was the recipient of the New Century Excellent Talents in University from the Ministry of Education of China.

Yuhu Cheng received his Ph.D. degree from the Institute of Automation, Chinese Academy of Sciences in 2005. He is currently a professor in School of Information and Control Engineering, China University of Mining and Technology. His main research interest includes electrical drives and intelligent systems. In 2010, he was the recipient of the New Century Excellent Talents in University from the Ministry of Education of China.

Lisi Tian received his Ph.D. degree from Huazhong University of Science and Technology (HUST), China in 2015. He is currently with the School of Electrical and Power Engineering, China University of Mining and Technology. His main research interests include power electronics, electrical drives and fault diagnosis.

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