Skip to main content - access key m.
Skip to main navigation - access key n.

Yaoyu Li

E-mail: yaoyu.li@utdallas.edu
Phone: 972-883-4698
Office: ECSN 3.210
800 West Campbell Road
Mailstop: EC-38
Richardson, TX 75080-3021

Biography

Personal Web Page

 

 

 

 

 

 

 

Yaoyu Li

Associate Professor of Mechanical Engineering

Degrees
PhD, Mechanical Engineering, Purdue University, 2004.
MS, Agricultural Engineering, University of Saskatchewan, 1997.
BS, Mechatronics, Tsinghua University, Beijing, China, 1992.

Research Interests
Mechatronics and control systems; control, optimization, dynamic modeling and fault diagnosis for mechanical and electromechanical systems, with strong emphasis on energy systems; dynamic modeling and controls for building HVAC systems; control and fault diagnosis for renewable energy systems (wind and solar); energy management and battery health management for plug-in hybrid and electric vehicles.

Five Most Recent Journal Publications, Book Chapters, and Books

  • Yang, Z., Li, Y. and Seem, J.E. “Individual Pitch Control for Wind Turbine Load Reduction Including Wake Interaction,” to appear in Wind Engineering.
  • Li, P., Li, Y. and Seem, J.E. “Consistent Initialization of System of Differential-Algebraic Equations for Dynamic Simulation of Centrifugal Chillers,” Journal of Building Performance Simulation., Vol. 5, No. 2, March 2012, 115-139
  • Lei, P., Li, Y. and Seem, J.E. “Modeling and Global MPPT Control for Photovoltaic Array with Variable Shading,” IEEE Transactions on Sustainable Energy, Vol. 2, No. 3, pp. 348-358, July 2011
  • Wu, X. Li, Y., Li, F., Yang, Z. and Teng, W. “Adaptive Estimation-Based Leakage Detection for a Wind Turbine Hydraulic Pitching System,”IEEE/ASME Transactions on Mechatronics. DOI: 10.1109/TMECH.2011.2142400
  • Ranjan, N. and Li, Y. “Trip Based Stochastic Prediction of Battery State of Charge for Electric Vehicles,” International Journal of Electric and Hybrid Vehicles, Vol. 3, No. 4, pp. 353-368, 2011

Major Honors and Awards

  • 2007 Honda Initiation Grant Award for “Trip Based Optimal Power Management for Plug-in Hybrid Electric Vehicles” (among the seven winners among 300+ proposals)
  • 2009-2010 Top Ten Research Expenditure, College of Engineering & Applied Science, University of Wisconsin - Milwaukee
  • 2008-2009 Top Ten Research Expenditure, College of Engineering & Applied Science, University of Wisconsin - Milwaukee