This report reviews the research milestones and deliverables for the 3 years on the funded projects. Additional work is also described for Task 3.1. Detailed descriptions of progress on each Task are provided in the Appendices. -------------------------------Task 1 -DI-HCCI Engine Mapping, Optimization and Control Team Members: Reitz 1 , Hoag, Rutland (ERC) Industry/DOE Level 1 Partners: Caterpillar, Ricardo, Delphi, DOE Sandia National Laboratories Description of Research Task and Technical

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... roach: 1.1 Experimental DI-HCCI/GDI Regime Mapping -Reitz (ERC): This Task explores the regimes under which HCCI diesel combustion takes place with in-cylinder direct injection (DI) . This is necessary to develop a knowledge-based control system, which requires significant knowledge of the effect of engine operating variables on combustion. In addition, once the effect of operating variables is understood, optimization can be applied to achieve satisfactory engine operation over a wide range of operating conditions. Task 1.1 includes optimization using state-of-the-art optimization tools. DI-HCCI Engine Computer Optimization -Reitz (ERC): This Task is conducted in conjunction with the experiments of Task 1.1 and focuses on computer optimization of DI-diesel HCCI or PCCI (Premixed Charge Compression Ignition) combustion. The optimization is performed using Genetic Algorithms (GA) that have been combined with multidimensional KIVA modeling and successfully used to optimize diesel engine operating conditions at the ERC. DI-HCCI Engine Control System Development -Hoag, Reitz and Rutland (ERC): This task consists of two parts: the selection of appropriate engine performance sensors, and the development of engine control algorithms that use input from sensors to control engine performance. The Caterpillar test cell features fully-automated testing with complete computer control of the engine operating parameters (e.g., load, speed, intake boost pressure, exhaust back pressure, EGR rate, intake temperature, injection pressure, start-of-injection timing, and split injection parameters). Thus, the facility lends itself extremely well for the present control system development effort. Research Milestones and Deliverables: Year 1: Perform experimental exploration of DI-diesel HCCI engine combustion regime boundaries for knowledge-based control system and model development; Apply CFD models for DI-diesel HCCI engines; Evaluate and select engine combustion sensors for engine control -Reitz (ERC); Develop real-time simulation tools for engine control -Hoag and Rutland (ERC) Status: Completed: see Appendix A.