Electric machines and Drives in traction

New suburban electric train from Simferopol to Sevastopol
Induction motor drives: ANN vector control vs. conventional vector control
Microcontroller for a Brushless DC Motor (Texas Instruments)

The electric machines and drives in traction applications are operated in quite different ways from the machines in other industry applications. In traction applications, the operation of an electric vehicle or electric locomotive usually presents a strong dynamic process which may be affected by many factors, such as road conditions, traction mechanics, power electronic converters, electric machines and drives, control systems, and traction power supply systems. This highly variable operating process of an electric vehicle or electric train can result in strong dynamic characteristics in a whole vehicle system and challenges in machine control, system integration, and coordinated overall system control and management.

Research Interests: 

  • Artificial neural network vector control for high performance ac drives in traction systems
  • Coordinated control and energy management systems in electric vehicles and electric trains
  • Dynamic process simulation and analysis of electric vehicles and electric trains 
  • Dynamic process simulation of AC traction power systems in electrified railways

Patents:

  • Xingang Fu and Shuhui Li, “Systems, methods and devices of a novel neural network vector control technique for induction motor drives,” Status: pending (USA).
  • Shuhui Li, Michael Fairbank, Xingang Fu, Donald Wunsch, and Eduardo Alonso, “Systems, Methods and Devices for Vector Control of Permanent Magnet Synchronous Machines using Artificial Neural Networks,” Filed: Attorney Docket No. 10025-090PV1.

Related publications and paper: 

Journals:

  • Xingang Fu and Shuhui Li, “A Novel Neural Network Vector Control Technique for Induction Motor Drive,” IEEE Transactions on Energy Conversion, Vol. 30, No. 4, pp. 1428-1437, December 2015.
  • ​Shuhui Li, “The simulation analysis of the statistical characteristics of electrified railway loads,” Journal of the China railway society, Vol. 18, No. 2, 1996, pp. 40-46. (Chinese national first rank journal)
  • Shuhu Li and Jinsi Zhang, “Simulation and analysis of the dynamic process of electric locomotives”, Journal of the China Railway Society, Vol. 16, No. 2, 1994. 
  • Shuhui Li, Jinsi Zhang, and Qunzhan Li, “Traction operation simulation of SS3 thyristor controlled electric locomotive”, Journal of the China Railway Society, Vol. 15, No. 2, 1993.

Conferences:

  • Shuhui Li, Michael Fairbank, Xingang Fu, Donald C. Wunsch, and Eduardo Alonso, “Vector Control of Permanent Magnet Synchronous Motor using Adaptive Recurrent Neural Networks”, Proceedings of 2013 International Joint Conference on Neural Network, Dallas USA, August 4-9, 2013.
  • Shuhui Li, Timothy A. Haskew, and Yang-Ki Hong, “Characteristic Study of Vector-Controlled Permanent Magnet Synchronous Motor in Electric Drive Vehicles,” Proceedings of 2012 IEEE PES Transmission and Distribution Conference and Exposition, Orlando FL, May 7-10, 2012.
  • Shuhui Li, Rajab Challoo, and Robert A. McLauchlan, “Heat Transfer Simulation Using PSpice”, in Proceedings of 2003 ASME Summer Heat Transfer Conference, July 21–23, 2003, Las Vegas, Nevada, USA.