Fuzzy logic control applied on SI engine concerning the injection time evolution

The papers present studies and researches of fuzzy logic system application, analyzing the evolution of a spark ignition (SI) engine. The advantage offered by the fuzzy logic system allowed us to monitor same of the parameters involved in burning process. As we know, thermal engines must be optimized because of the problems with exhaust gases from fossil fuel, used as energy sources. Our team succeeded to work with MATLAB/Simulink software, which takes into consideration data acquired from the tested vehicle, namely Dacia Logan, with purpose to manage the injection time. The amount of air and the amount of fuel are two elements which must be taken into consideration, because if the amount of fuel varies, than and the amount of air will also varies, with consequences in exhaust. Also we mention and about the AFR (Air/Fuel Ratio), which is a value with variation due to the lambda sensor modification. Lambda sensor also was a parameter control with fuzzy logics controller. The results are very interesting, fuzzy control system allowed us to manage most of the important parameters, and the relation between them help us to affirm important conclusion.