Yang Huang and Ximu Zhang Present the CURENT Power and Energy Seminar on Friday, February 19

Yang Huang and Ximu Zhang, both CURENT graduate students under Dr. Kevin Bai at the University of Tennessee, will present the CURENT Power and Energy Seminar (ECE 496 and 691) on Friday, February 19 from 1:00 pm to 1:50 pm. The seminar will be available via ZOOM. The ZOOM link will be sent to CURENT students and faculty through email. Contact Wendy if you need a link.

Presenters: Yang Huang, University of Tennessee, and Ximu Zhang, University of Tennessee

Title: A Hybrid Modulation Scheme with Online Peak Common-mode Current Prediction for Three-phase Motor Drive System

Abstract: As various modulation schemes own different merits and drawbacks, applying single method in full modulation range is not an optimal solution. Combine several PWMs with respect to specific operation scenarios is one balanced approach. A hybrid modulation scheme is proposed to realize a multi-factor determined modulation scheme that taking common-mode and differential-mode performance, system loss into consideration. Specifically, for common-mode performance, a smart controller that can actively evaluate the CM performance through artificial intelligence will be introduced. Machine learning methods are employed to actively analyze three popular PWMs (SVPWM, AZSPWM, and DPWMMin) on chip. In this way we can based on the torque and speed command to online determine the best PWM patterns and switching frequency with minimum requirements of computation resources.

Bio: Yang Huang was born in Chongqing, China. He received the B.S. degree from Southeast University, Nanjing, China in 2016, and the M.S. degree from the University of Michigan-Dearborn, MI, USA in 2018. He is currently pursuing a Power Electronics Ph. D degree in CURENT power electronics group with Professor. Kevin Bai. His research interests include on-board EV charger and fast charger design, motor drive techniques and common-mode noise reduction.

Bio: Ximu Zhang was born in Chengdu, Sichuan, China. He received the B.S. degree in Electrical Engineering from Xi’an Jiaotong University in 2018, and the M.S. degree in Computer & Information Science from the University of Michigan-Dearborn, MI, USA in 2019. He is currently pursuing a Ph. D degree in CURENT power electronics group with Professor. Kevin Bai. His research interests include machine learning and deep learning, and application of Machine Learning/Deep Learning in electric vehicles.

Upcoming seminars are: 

Feb. 26 - Industry Seminar - TBD - TBA

Mar. 5 - Jingjing Sun and TBD, University of Tennessee - TBA 

Mar. 12 - Weikang Wang and TBD, University of Tennessee - TBA

Mar. 19 - Yu Yan and TBD, University of Tennessee  - TBA

Mar. 26 - Industry Seminar - TBD - TBA

Apr. 2 - Spring Recess - No Seminar

Apr. 9 - TBD - TBA

Apr. 16 - TBD - TBA

Apr. 23 - TBD - TBA