Control Adaptation Approach For Fault Detection and Isolation in SIDI High Pressure Fuel Pump

Spark Ignition Direct Injection (SIDI) technology enables better fuel economy and tail pipe emissions in vehicles equipped with gasoline engines. The SIDI technology relies on the system's ability to deliver fuel at high pressures and reliable performance of the high pressure fuel pump is vital as it directly relates to the operability of the vehicle. It, therefore, becomes very important to devise a scheme that can effectively diagnose and prognose faults of such a component. In this article, algorithm development for incipient fault detection, and isolation of high pressure fuel pump faults is presented. In particular, the control adaptation of the high pressure fuel pump is employed to generate schemes for fault detection, and fault isolation. Results from simulations as well as real vehicle test data are presented to depict various fault behaviors and their manifestations. The learnings thus obtained enabled the design of fault detection, and isolation scheme for high pressure fuel pump and allows monitoring of health as the faults grow.