Zero Fuel Auto-learning Calibration of Injector in High Pressure Common Rail Diesel Engine

Abstract:

A zero fuel auto-learning calibration strategy was adopted and the concept of engine segment acceleration was introduced. When the necessary condition for calibration and the rail pressure defined by the calibration were required in overrun phase, zero fuel calibration triggered small injections to a cylinder, and attempted to detect a change in the engine crankshaft segment acceleration. Then, the parameters for the injections were changed in predefine step value for the energizing time until a predefined segment acceleration change was detected between two neighborhood injections. Finally, the energizing time was saved as zero quantity calibration value of the injector in the rail pressure defined. The injection bench and the experimental vehicle test results showed that zero fuel auto-learning calibration strategy does not need to add any components, and it has higher calibration veracity and real-time characteristic.