Comparison of Input Shaping and Predictive Reference Generator Techniques for IC Engine Setpoints Commands

Abstract

Abstract As connected and automated vehicles are becoming more popular, there is potential for leveraging the available traffic and road information to reduce vehicles’ fuel consumption. Many optimization strategies have been proposed at the powertrain level, providing a slow torque reference setpoint to the engine controller. This paper explores the opportunities provided by the different controller time scales to provide a fast torque reference accounting for (i) torque smoothing and avoiding actuation saturation, (ii) fuel consumption reduction while meeting constraints, and (iii) drivability. The control oriented model of the engine and its validation is presented first. Then, the control hierarchy is outlined. Then the input shaping and reference generator solution strategies are presented. Finally, results for each solution method are discussed, showing about 0.17% fuel consumption increase for the input shaping algorithm and about 2.5% of fuel consumption reduction with the predictive reference generator, and substantial improvements in drivability for each.