The paper provides a review of modern diagnostic methods for the technical condition of gasoline internal combustion engines based on the analysis of exhaust gas composition. The paper is devoted to solving the problem of increasing the efficiency and accuracy of determining the parameters of the engine operation using non-invasive monitoring methods. The paper uses the method of a systematic review of literary sources for the period of 2000-2025. The classification of diagnostic approaches by type of measuring technology is carried out: traditional gas analyzers, spectroscopic methods (FTIR, NDIR), portable PEMS complexes, on-board sensor systems and intelligent algorithms based on machine learning. The scientific novelty consists in summarizing modern trends in the development of gas analytical diagnostics of gasoline internal combustion engines and identifying trends in the transition from periodic monitoring to continuous monitoring of technical condition. The results of the analysis show that the use of spectroscopic and intelligent methods improves the accuracy of determining the concentrations of exhaust components and allows detecting malfunctions at an early stage. It is concluded that it is necessary to integrate such systems with electronic control units and develop domestic portable diagnostic systems.
Pavel Tarabrin (Thu,) studied this question.