ECE 590 I POWER & ENERGY SYSTEMS SEMINAR
WHEN: Monday, March 15, 2021, 3:00 – 3:50 p.m.; Zoom Meeting (contact rsmth@illinois.edu)
SPEAKER: Dr. Baoyun Ge
TITLE: "Towards High Torque Density Macro-Scale Electrostatic Machines: the Manufacturing, Modeling and Design Aspects"
ABSTRACT: About 45 % of the total global electricity consumption flows through electric drive systems and electric machines. The ongoing transportation electrification is expected to push this percentage considerably higher in the near future. Success to meet such growth relies heavily on the improvement of torque density and running efficiency and on the reduction of lifetime costs of electric drive systems. Electromechanical power conversion has been dominated by electromagnetic machines, particularly for high-power applications. However, for low-speed high torque applications, electromagnetic machines are inherently inefficient. This presentation focuses on electrostatic machines – an emerging family of machines characterized by lower costs, light weight, high efficiency and environmental friendliness. Conventional electrostatic machines’ 4 to 5 orders of mismatch on torque density with permanent magnet machines had limited their applications to small-size, low-power areas such as microelectro-mechanical systems (MEMS), for those applications in which magnetic machines are not feasible. We discuss the multiplicative gain design approach used to reduce the torque density gap between electrostatic machines and permanent magnet machines significantly with electrostatic machines’ unique strength maintained.
BIO: Baoyun Ge received the B.E. degree in electrical engineering from Southeast University, Nanjing, China, in 2012, and the Ph.D. degree in electrical and computer engineering from the University of Wisconsin-Madison, Madison, WI, in 2018. He is currently with C-Motive Technologies, Inc., Madison, a startup company developing capacitively coupled power conversion technologies. His research interests lie in electric drive systems, including the application of artificial intelligence, IoT, parallel computing, and advanced manufacturing to address the energy challenges in electric machines and drives. Dr. Ge received the First Place Paper Award and the Third Place Thesis Award from the IEEE Industry Application Society (IAS) in 2017 and 2019 respectively.
