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For engine control, combustion phase is the most effective and direct parameter to improve fuel efficiency.
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Combustion engine control depends strongly on the availability and the quality of the signals involving in the controller construction.
This includes the necessity of determining the state of combustion per cycle via sensing, the algorithms in the engine control unit (ECU) to regulate combustion in order to meet the desired performance, and the actuation means through both the engine valve-train and the injection system.
Advanced engine control technologies use cylinder pressure based combustion parameters for closed loop control.
Best-fit distribution for all test conditions can then be used for predicting and controlling the HCCI combustion timing for engine control.
For each combination of suitable combustion chamber shape and engine control parameters (ignition/injection crank angle, EGR, etc)., a CFD simulation is used to evaluate the combustion performance of the engine.
Advanced engine control systems require accurate dynamic models of the combustion process, which are substantially nonlinear.
This was accomplished through the lambda probe, used to measure the quality of combustion in conventional engines, is also required to tell the engine control unit (ECU) which blend of gasoline and alcohol is being burned.
Increasing complexity of modern combustion engines lead to a significant augmentation of the number of physical setpoints, sensorics/actuators and control systems in electronic engine control units.
This paper discusses the findings of an analysis of an aero engine staged combustion fuel distribution control system design in the framework of the LECCAGT research project.
In this work, an efficient implementation of a zero-dimensional model is described for the estimation of key engine parameters for combustion control in compression-ignition engines.
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