Transient Control of Gasoline Engines

Transient Control of Gasoline Engines drives to move progress forward. A stimulating examination of car electronics and digital processing technology, this book chronicles significant advances that have occurred over the past 20 years (including the change from combustion engines to computerized machines) and presents new and exciting ways to enhance engine efficiency using real-time control technology.

Dedicated to improving the emissions of automotive powertrains, it provides an introduction to modeling, control design, and test bench, and explains the fundamentals of modeling and control design for engine transient operation. It also presents a model-based transient control design methodology from the perspective of the dynamical system control theory.

Written with graduate students in mind, this book:

• Addresses issues relevant to transient operation, cycle-to-cycle transient, and cylinder-to-cylinder balancing
• Examines the real-time optimizing control problem (receding horizon optimization, for torque tracking control and speed control)
• Covers three benchmark problems related to the modeling and control of gasoline engines: engine start control, identification of the engines, and the boundary modeling and extreme condition control

Transient Control of Gasoline Engines describes the behavior of engine dynamics operated at transient mode as a dynamical system and employs the advanced control theory to design a real-time control strategy that can be used to improve efficiency and emission performance overall. Geared toward graduate students, this book also serves as a trusted source for researchers and practitioners focused on engine and engine electronics design, car electronics, and control engineering.

Introduction. Mathematical Model of Gasoline Engines. Speed Control. Air–Fuel Ratio Control. Receding Horizon Optimal Control. Balancing Control. Residual Gas and Stochastic Control. Benchmark Problems for Control and Modeling of Automotive Gasoline Engine. Bibliography.

Tielong Shen earned his PhD in mechanical engineering from Sophia University, Tokyo, Japan. Since April 1992, he has been a faculty member and the chair of control engineering in the Department of Mechanical Engineering, Sophia University, where he currently serves as a professor. Since 2005, he has also served as "Luojia Xuezhe" Chair Professor of Wuhan University, China. His research interests include control theory and applications in mechanical systems, powertrain, and automotive systems. He has authored and coauthored numerous articles and books and serves as a member of the IEEE Technical Committee and IFAC Technical Committee on Automotive Control.

Jiangyan Zhang received B.E. and M.E. degrees in Electrical Engineering from Yanshan University, Qinhuangdao, China, in 2005 and 2008, respectively, and a Ph.D. degree in Mechanical Engineering from Sophia University, Tokyo, Japan, in 2011. From April 2011 to March 2013, she was a Post-Doctoral Research Fellow at SHEN Laboratory of Sophia University, and currently is an assistant professor with the College of Electromechanical and Information Engineering of Dalian Nationalities University, China. Her research interests are mainly in nonlinear dynamical control theory and application to the automotive powertrain systems.

Xiaohong Jiao earned her PhD in mechanical engineering from Sophia University, Tokyo, Japan, in 2004. She is a professor with the Institute of Electrical Engineering, Yanshan University, Qinhuangdao, China. Her current research interests include robust adaptive control of nonlinear systems and time-delay systems and applications to hybrid distributed generation systems and automotive powertrain.

Mingxin Kang earned his PhD in mechanical engineering from Sophia University, Tokyo, Japan, in 2015. For the past three years, he has applied himself to the study of engine transient control and real-time optimization control theory. His main contributions include the t