Investigation on the Effect of Various Parameters on Optimum Performance of Engine Management System (EMS) based on DoE Method

One of the major contributors of air pollution in large cities is the urban car traffic which imposes a huge financial and life expenses to the society. In order to reduce these expenses, car manufacturers keep adopting new innovation to decrease pollutants` level.In recent years, direct injection engines have been introduced which electronically control fuel flow using Engine Control Unit (ECU). This goal has been achieved to some degree. Adjusting and calibrating the Engine Management System (EMS) becomes more important day by day. The most important task of EMS is to reach the optimum point in pollutant, fuel consumption and vehicle performance.In this study while calibrating EMS efficiently, the cost and time spent is reduced using DoE simulating techniques and the effects of various parameters on its performance are studied. Hence knowing all inputs such as speed, load and desired outputs such as pollutants and engine torque, MBC Model – module from MATLAB software – has been used. Another next module from MATLAB that is named CAGE is implemented to improve the above mentioned model. By using this method, the effects of EMS` calibration can be studied on different parameters and upon needs, change them. The new parameters are entered into ECU and from there new commands are released to actuators. Therefore achievement to optimal engine function like vehicle performance, pollutant and fuel consumption by minimum expenses and time with high accuracy will be performed.