AAC 2019 Paper Abstract

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Paper TuAT3.3

Boyle, Stephen (The Pennsylvania State University), Stockar, Stephanie (Penn State University)

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

Scheduled for presentation during the Regular Session "Internal Combustion Engine Diagnosis" (TuAT3), Tuesday, June 25, 2019, 11:10−11:30, Chamerolles

9th IFAC International Symposium on Advances in Automotive Control, June 23-27, 2019, Orléans, France

This information is tentative and subject to change. Compiled on April 24, 2024

Keywords Intelligent Vehicles and Robotics Technology in Vehicles, Adaptive Cruise Control, Heading Control, Lanekeeping, Driver Warning Systems, Systems Based on Car-to-x-communication, Plant Modelling and System Identification

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.

 

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