The Ohio State University

Abstract:

Of late, several advanced combustion modes such as homogeneous charge compression ignition (HCCI), low temperature combustion (LTC), and premixed charge compression ignition (PCCI) are being actively developed. Compared with conventional combustion, advanced combustion modes can offer remarkable benefits in terms of improving engine thermal efficiency and reducing engine-out emissions.  However, as these alternative combustion modes are close to the combustion stability boundaries, they are very sensitive to in-cylinder condition variations.  This talk briefly introduces the control challenges for the real-world applications of advanced combustion modes and discusses two examples on the transient control of advanced combustion modes.  The first example is a hybrid robust air-path control approach for modern diesel engines operating low temperature combustion and conventional diesel combustion modes. The control system was designed to track different key engine air-path operating variables at different combustion modes.  The system performance variables for different combustion mode controllers were carefully chosen with respect to combustion characteristics as well as sensor and measurement limitations.  The second example is on the transient control of a multi-cylinder HCCI diesel engine without using cylinder pressure feedback.  Future research plans towards real-world applications of multiple combustion mode high-efficiency ultra-clean diesel engines will be presented as well.

Bio:

Junmin Wang received a B.E. degree in Automotive Engineering and a M.S. degree in Power Machinery and Engineering from the Tsinghua University, Beijing, China in 1997 and 2000, respectively.  He received two M.S. degrees in Electrical Engineering and Mechanical Engineering from the University of Minnesota, Twin Cities in 2003, and a Ph.D. degree in Mechanical Engineering from the University of Texas at Austin in 2007.  Dr. Wang joined Ohio State University as an Assistant Professor in September 2008.  Dr. Wang has 5 years of industrial research experience (2003-2008) at Southwest Research Institute (San Antonio, Texas) where he was a Senior Research Engineer and led research projects sponsored by many industrial companies worldwide.  Dr. Wang's research interests include control, modeling, estimation, and diagnostics of dynamic systems, specifically for engine, powertrain, aftertreatment, hybrid, flexible fuel, alternative / renewable energy, automotive, ground vehicle, transportation, and mechatronic systems.