Model based diagnosis of gasoline injection engine. Issue 1 (December 2020)

• Record Type: Journal Article
• Authors: Singureanu, M; Copae, I
• Is Part Of: IOP conference series. Volume 997:Issue 1(2020)
• Publication Date: 2020-12
• Subjects: Materials science -- Periodicals; 620.1105
• DOI: 10.1088/1757-899X/997/1/012133
• Languages: English
• ISSNs: 1757-8981

Abstract

Abstract: The paper approaches one of the most effective diagnosis solutions used on engines equipped with sensors, actuators and microcontrollers. The principles and advantages of this type of diagnosis are outlined. Functional models and possible fault types are presented. Differential equations for dynamic operation of sensors and actuators are deduced. It presents the problems related to the isolation of the faults, as well as the one corresponding to the generation and evaluation of the residual. The aspects related to fault detection are highlighted. The case of diagnosing the engine air supply system is exemplified. There are presented various schemes and relations of calculation corresponding to the model-based diagnosis. Important theoretically and practically conclusions are drawn. The paper benefits from the experimental data obtained on the tests of an A6 Audi car equipped with a gasoline engine. During the experiments, various faults of some constructive parts of the engine were deliberately made.