Control and Optimization for In-Wheel Motor Electric Vehicles
Yan Chen, PhD
The Polytechnic School
Ira A. Fulton Schools of Engineering

Monday, Feb. 29, 2016
9 a.m. 
Santan (SANTN) 220, Polytechnic campus [map]
Free to attend

Abstract
With the continuously demanding on efficiency improvement, emission reduction and safety enhancement, automotive technologies, such as advanced engine combustion and after treatment control, (plug-in) hybrid electric vehicles, and automated and connected vehicles, have been rapidly progressing for higher efficiencies and lower emissions and safer mobility. Within these new automotive technologies, electric propulsion is one of the most attracting technologies with zero emission and high efficiency. In-wheel motor actuation further promotes the advantages of electric vehicles in terms of efficiency and safety. However, the introduction of in-wheel motors also brings challenges on vehicle control and optimization. In this presentation, control and optimization for electric vehicles actuated by four in-wheel motors will be discussed. A novel energy-efficient control allocation scheme with real-time implementable algorithms is proposed to distribute desired control efforts by explicitly incorporating efficiency functions and working modes of actuators. Moreover, optimal driving strategy design based on terrain profile preview further enhances energy efficiency of electric vehicles. Experimental and simulation results will be given to demonstrate effects of the proposed control and optimization methods.

Biosketch
Dr. Yan Chen received the B.S. and M.S. degrees (with honors) in Control Science and Engineering from Harbin Institute of Technology, in Harbin, China in 2004 and 2006, a M.S. degree in Mechanical Engineering from Rice University Houston, Texas in 2009, and the PhD degree in Mechanical Engineering, The Ohio State University, Columbus in 2013. Dr. Chen has about three years of automotive industrial research experience and is currently a senior research engineer of Advanced Engineering Controls in Cummins Inc. Dr. Chen’s research interests include modeling, estimation, control and optimization of dynamic systems, specifically for (hybrid) electric vehicle, automotive engine, powertrain, aftertreatment and mechatronic systems. He is an author/co-author of more than 20 peer-reviewed publications including 10 journal articles and 12 conference papers. Dr. Chen servers as an associate editor for ASME Dynamic Systems & Control Conference and American Control Conference since 2015 and is a member of ASME Automotive and Transportation Systems Technical Committee since 2011.

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