Research On Fuel Injection Advance Angle Recognition Based On ITD Internal Combustion Engine

The internal combustion engine has a history of nearly 150 years and has been widely used in various fields such as industry,agriculture,transportation,and military,and has played an extremely important role in promoting the development of human civilization.The internal combustion engine is a kind of heat engine,and its combustion process is a reflection of its conversion of fuel chemical energy to mechanical energy.The advantages and disadvantages of the combustion process affect the power,economy and emission performance of the internal combustion engine.The vibration signal of the cylinder head surface generated during the combustion process of the internal combustion engine contains abundant information related to the combustion process.Some signals related to combustion can be obtained by adjusting the fuel injection angle.At the same time,the vibration sensor is low in cost and easy to install.Therefore,the study of the vibration signal in the cylinder combustion process has important theoretical significance and practical value.Through a comprehensive discussion is made on the theoretical methods which were used in this paper.The structural composition,the movement process and the combustion mechanism of the internal combustion engine are thoroughly described,and a complete internal combustion engine experimental program is formulated.At the same time,a one-dimensional simulation model of the diesel engine was established.The combustion pressure was used to generate pressure information and the correlation was analyzed with the combustion vibration acceleration signal.In order to better highlight the combustion information,the inherent time scale of internal combustion engine vibration is decomposed and analyzed,and the vibration signal corresponding to the periodic motion is analyzed.Then,according to the method and the correlation coefficient principle,the vibration signal of the internal combustion engine is analyzed,and the neural network is used to classify and identify.The combustion characteristics of different frequency bands are compared and the empirical model decomposition method is added for comparative analysis.Considering the characteristics of strong randomness of the vibration signal of the internal combustion engine,this method is suitable for the analysis and processing of non-stationary signals,and is a general method used for non-stationary signal processing.Analysis of the results showed: The decomposition method chosen in this paper is effective and superior to the combustion signal processing of the internal combustion engine.The failure information of the combustion signal of the internal combustion engine is mainly distributed in the relatively low frequency range.The neural network has the best approximation and the global optimal performance.At the same time,the method is fast and easy,there is no local optimal problem,and good results are obtained in the combustion recognition of the internal combustion engine.The monitoring and controlling of the combustion conditions in the cylinder of an internal combustion engine is conducive to improving the use level of the internal combustion engine and maintaining its good use state.This has important practical significance for the energy saving and emission reduction of the internal combustion engine.