Fault diagnostics in air intake system of combustion engine using virtual sensors

Abstract

The method for the fault diagnosing of the air intake system of a gasoline engine, not detected by the onboard diagnostics system in a car, is described in this article. The aim is to detect and identify such faults like changes in sensor characteristic, faults of mass airflow measurement in the intake manifold or manifold leakages. These faults directly affect the air intake system performance that results in engine roughness and a power decrease. The method is based on the generation of residuals on the grounds of differences in indications of the manifold absolute pressure (MAP) and mass air flow (MAF) sensors installed in the car and the virtual, model-based sensors. The empirical model for the fault-free state was constructed at stationary operations of the engine. The residuals were then evaluated to classify the system health. Investigations were conducted for a conventional gasoline engine with port-fuel injection (PFI) and for a gasoline direct injection engine (GDI).

Test diagnostics of engine systems in passenger cars

“…Multichannel and multi-bit capabilities allow us to view rapidly changing processes in the microsecond range. In addition, more and more equipment of cars with electronics and digital devices contribute to the development of these diagnostic tools [13,14].…”

Environmental control and test dynamic control of the engine output parameters

“…Ideal conditions for the operation of vehicles were in these studies. However, the realities of operation show that, in most cases, car owners, car fleets, and automobile enterprises are unable to provide ideal conditions for the operation and maintenance of vehicles [21][22][23][24]. The high complexity of troubleshooting in the main ICE systems affecting the environmental performance of vehicles also encourages the development of new troubleshooting methods to maintain the highest environmental vehicle class [25][26][27][28].…”