A Realistic Simulation Testbed of A Turbocharged Spark Ignited Engine System: A Platform for the Evaluation of Fault Diagnosis Algorithms and Strategies

Kok Yew Ng, Erik Frisk, Mattias Krysander, Lars Eriksson

Research output: Contribution to specialist publicationFeatured article

Abstract

Research on fault diagnosis on highly nonlinear dynamic systems, such as the engine of a vehicle, has attracted much interest in recent years, especially as the automotive industry heads toward self-driving technologies. This article presents a novel open-source simulation testbed of a turbocharged spark-ignited gasoline engine system for testing and evaluating residuals generation and fault diagnosis methods. Designed and developed using Matlab/Simulink, the user interacts with the testbed through a graphical interface where the engine can be realistically simulated using industrial-standard driving cycles, including the Worldwide Harmonized Light Vehicle Test Procedure, New European Driving Cycle, Extra-Urban Driving Cycle, and U.S. Environmental Protection Agency Federal Test Procedure. The engine is modeled by using the mean value engine model and controlled through a proportional-integral-based boost controller. The graphical interface also enables the user to induce one of the 11 faults of interest and gain a better understanding of the fault’s effects on the performance of the engine. This minimizes the risk of causing permanent damage to the engine and shortening its lifespan. The simulation testbed will serve as an excellent platform where researchers can generate critical data to develop and com- pare current and future research methods for the fault diagnosis of automotive engine systems.

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Keywords

  • Fault diagnosis
  • Vehicular system
  • Engine
  • Observers
  • Residuals generation
  • Simulation testbed
  • Fault detection
  • Fault isolation
  • modelling and simulation

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