New approach of model based detection of early stages of fuel injector failures

Abstract

The aim of the work was to develop a method of real time diagnosing electromagnetic fuel injectors using the observation of electric current parameters available in the engine control unit. Performing this task required finding a precise criterion for assessing the correct operation of an electromagnetic injector. For this purpose, a mathematical model describing the individual phases of the injector's operation was used, allowing the simulation of the occurrence of typical failures. On its basis, symptoms of particular failures were determined based on the observation of electric current parameters in the control circuit. Observation of voltage and current waveforms allows to locate both electrical and mechanical damages to the injectors and to assess the correctness of the power system components. The presented diagnostic method allows the detection of the described damages in the early stages of their development, which prevents damage to the catalytic converter and other engine systems (valves, piston rings or cylinder surfaces), i.e. damages resulting from an incorrect fuel mixture.

Modeling the dynamics of changes in CO2 emissions from Polish road transport in the context of COVID-19 and decarbonization requirements

“…Global warming, the main cause of which is the growing emission of carbon dioxide, causes drastic consequences for many ecosystems, bringing about irreversible changes in them [27,36,38]. The use of petroleum fuels in transport determines its significant share in greenhouse gas emissions, which is why this sector faces the greatest demands [5,12,23]. Meanwhile, the progressing globalization, population growth, increasing demand for goods, as well as the dynamic development of the tourism industry and the number of people travelling do not make this task easier, especially since it is estimated that by the 2050, the EU economy will more than double [10].…”