Modeling and control of SI and HCCI dual combustion engines

Modeling and control of SI and HCCI dual combustion engines

Guoming (George) Zhu, Michigan State University

Abstract:
To make HCCI (Homogeneous Charge Compression Ignition) combustion feasible in an SI (Spark Ignited) engine, it is necessary to have the smooth mode transition between SI and HCCI combustions. The SI-HCCI hybrid (or spark assistant) combustion mode studied describes the combustion mode that starts with SI and ends with HCCI combustions. The hybrid combustion mode bridges the gap between SI and HCCI combustions. In order to develop model-based combustion mode transition control, a crank angle resolved combustion model was developed for the SI-HCCI hybrid combustion mode, where the SI combustion phase is modeled under a two-zone assumption and the HCCI combustion phase under the one-zone assumption. Note that SI and HCCI combustions are special cases in this model. The developed combustion model was integrated with mean-value models of engine air-handling subsystems to form the entire engine model. This engine model was then validated in an HIL (Hardware-In-the-Loop) simulation environment over the entire engine operating range. The simulation results were compared with those of the corresponding GT-Power model, and good correlations were found for both SI and HCCI combustions. The combustion control simulations also illustrate the effectiveness of using the SI-HCCI hybrid combustion mode for smooth combustion mode transition with the help of the developed iterative learning control strategy.

Biosketch:
Dr. Guoming (George) Zhu is an associate professor of mechanical engineering and electrical/computer engineering at Michigan State University. Prior to joining the ME and ECE departments, he was a technical fellow in advanced powertrain systems at the Visteon Corporation. He also worked for Cummins Engine Co. Dr. Zhu earned his PhD (1992) in aerospace engineering at Purdue University. His BS and MS degrees (1982 and 1984 respectively) were from Beijing University of Aeronautics and Astronautics in China. His current research interests include closed loop combustion control, adaptive control, closed loop system identification, LPV control of automotive systems, hybrid powertrain control and optimization, and thermoelectric generator management system. Dr. Zhu has over 27 years of experience related to control theory and applications. He has authored or co-authored more than 90 refereed technical papers and received 39 US patents. He is also an associate editor for ASME Journal of Dynamic Systems, Measurement and Control and a member of editorial board of International Journal of Powertrain.

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