Analysis and Mathematical Models of Canned Electrical Machine Drives

Introduction.- Electromagnetic Analysis of the Saliency and Can Effect by Network Models.- Electromagnetic Analysis of Can Effect of a Canned Switched Reluctance Machine by FE Method.- An Analytical Model of Concentric Layer Structure for Canned Machines, Part I: Modeling of Armature Coils.- An Analytical Model of Concentric Layer Structure for Canned Machines, Part II: Modeling of Magnetic Field.- An Improved Thermal Network and Electro-thermal Coupled Analysis for Canned Electrical Machines.- Conclusions and Future Work.- Appendix.

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