Babak Fahimi

Dr. Babak Fahimi received his B.S. and M.S. degrees in Electrical Engineering with the highest distinction from the University of Tehran, Iran in 1991 and 1993 respectively. He earned his PhD in Electrical Engineering from Texas A&M University in 1999.

Currently, He is a Distinguished Chair in Engineering and the Director of the Renewable Energy and Vehicular Technology at the University of Texas at Dallas. Dr. Fahimi has been the recipient of DAAD scholarship (1993-1995), IEEE R.M. Bass Power Electronics Young Investigator Award (2003), SAE Ralph Teetor Educational award (2008), Fulbright scholarship in 2010 & 2023, and IEEE Cyril Veinott electromechanical energy conversion award in 2015.

Dr. Fahimi has co-authored over 380 scientific articles, 15 book chapters, and several technical reports in the general area of adjustable speed motor drives and power electronics. He holds 22 US patents and has 6 more pending.

Dr. Fahimi has supervised 36 PhD (six tenured/tenure track professors) and 24 M.S. students. He is a Fellow of IEEE for his contributions to modeling and analysis of adjustable speed ac motor drives.

Dynamic Wireless Charging: Magnetics, Electronics, and Integration

Babak Fahimi

PhD, IEEE Fellow, University of Texas at Dallas

ABSTRACT:

Electric Vehicle (EV) have the potential to achieve eco-friendly transportation, however the major limitation in achieving this vision is the battery technology. It suffers from drawbacks such as high cost, rare material, low energy density and large weight. The problems related to battery technology can be addressed by dynamically charging the electric vehicle while on the move. In-motion charging can reduce the battery storage requirement which could significantly extend the driving range of an electric vehicle.

This talk highlights recent advances in stationary and dynamic wireless charging of electric vehicles. A comprehensive review of charging pad, power electronics configurations, compensation networks, controls, and standards is presented.

Examples from modeling and experimental verifications will be included to validate the proposed solutions.