Diagnosis and Prognosis of Fuel Injectors based on Control Adaptation Azeem Sarwar1, Chaitanya Sankavaram2, and Xiangxing Lu3 1,2,3 Vehicle Health Management Group, Vehicle Systems Research Laboratory, General Motors Company, 30565 William Durant Blvd, Warren, MI, USA
[email protected] [email protected] [email protected] ABSTRACT 54.5 mpg by 2025 (Ferguson & Kirkpatrick, 2015). Follow- ing the stricter requirements, the emission level of current in- Spark Ignition Direct Injection (SIDI) technology enables ternal combustion engines has decreased to about 5% of the better fuel economy and tail pipe emissions in vehicles emission levels that were prevalent 40 years ago (Ferguson & equipped with gasoline engines. The SIDI technology de- Kirkpatrick, 2015). pends on the ability of the system to deliver fuel at high pres- sure directly into the combustion chamber, hence making the Up until 1990s, Port Fuel Injection (PFI) Engines reflected fuel injectors key subcomponents. Reliable performance of state of the art for production gasoline engines (C¸elik & fuel injectors is vital as it directly relates to the operability of Ozdalyan, 2010). Advancement in computer-based con- the vehicle, and hence customer satisfaction in case of failure. trol made it possible to deliver gasoline precisely through It, therefore, becomes very important to devise a scheme that solenoid-based fuel injectors, just upstream or at the back of can effectively diagnose and prognose such a component. In each cylinder’s intake valve. The fuel then mixes with the this article, algorithm development for diagnosis and a path- incoming air, and gets pulled into the combustion chamber way to prognosis of fuel injectors is presented.