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Abstract:
Wireless power transfer (WPT) technologies for electric vehicles (EVs) are attracting lots of attention to eliminate not only long and heavy wire cables, but also power plug failure resulting from dust, sand, dirt, and other environmental factors. Moreover, the advent of autonomous vehicles make WPT technology beneficial because it removes the need for manual intervention to charge batteries. Specifically, an automated guided vehicle (AGV) that moves packages in factories or warehouses can go to the charging station and turn on to charge the battery itself, which help us improve the productivity. However, this WPT system is still too bulky and heavy to be embedded in AVGs. Also, misalignments between a transmitter and receiver changes their coupling coefficient, which decreases overall performance of WPT systems.
Speaker Bio:
Jungwon Choi is an assistant professor in the Electrical and Computer Engineering at the University of Minnesota-Twin Cities. She received her Ph.D. in the Department of Electrical Engineering at Stanford University, in 2019, M.S in Electrical Engineering and Computer Science from the University of Michigan, Ann Arbor, in 2013 and B.S in Electrical Engineering from Korea University, in Seoul, Korea, in 2009. Her research interest is to design efficient RF resonant converters and matching networks in wireless power transfer (WPT) systems for consumer and industrial applications and to evaluate wide bandgap devices to operate at the high switching frequency. In 2017, she was selected to the Rising Stars in EECS. In 2019, she received Unlock Idea awards from Lam Research.
Dr. Choi: "In this talk, I will first discuss how to develop compact and efficient power electronics with wide bandgap (WBG) devices at MHz switching frequencies and extend this work to WPT for AGVs. Then I will present a performance comparison between WBG devices in resonant inverters to show how they increase output power while maintaining high efficiency. Also, I will introduce a design and implementation of an impedance compression network (ICN) that compresses variations in coupling coil impedance to address load variations due to misalignments in WPT systems."
