Joel Oudart
Bosch
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Publication
Featured researches published by Joel Oudart.
ASME 2013 Dynamic Systems and Control Conference | 2013
Nikhil Ravi; Michael Jagsch; Joel Oudart; Nalin Chaturvedi; David Cook; Aleksandar Kojic
Homogeneous charge compression ignition (HCCI) provides improved efficiency and emissions relative to current engine technologies. One of the barriers to implementing HCCI on production engines is the development of a robust control strategy to transition from traditional spark-ignition (SI) mode to HCCI mode and back. This paper presents such a strategy, based on the control of combustion phasing using fuel injection timing during the mode switch from SI to HCCI. The controller is based on a cycle-by-cycle combustion model developed in previous work. In order to obtain a state estimator for both modes, the model is linearized around operating points corresponding to the steady-states before (SI) and after (HCCI) the switch. The linearized HCCI model is used to synthesize a closed-loop controller to track a desired combustion phasing, with fuel injection timing as the controlled input. The control strategy is tested on a single-cylinder HCCI engine with direct injection. Experimental results at different operating points show that the controller is able to maintain a desirable phasing transient during the mode switch, prevent cycles with very early or late phasing and enable smooth transitions with minimal load fluctuations.Copyright
conference on decision and control | 2012
Nikhil Ravi; Nalin Chaturvedi; Joel Oudart; David Cook; Eric Doran; Aleksandar Kojic; Michel Pimpare
This paper presents an approach to model the effects of a varying engine speed in HCCI within a control-oriented framework. Using experimental data from a single-cylinder HCCI engine and a continuous-time simulation model, three primary physical characteristics are identified as being influenced by engine speed - chemical kinetics (time available for reactions), intake and exhaust flow dynamics, and heat transfer. Based on this, three speed-dependent parameters are introduced in a discrete-time control-oriented model developed in previous work - volumetric efficiencies for the intake and exhaust and a heat transfer factor during combustion. Model predictions in steady-state as well as during speed transients are seen to match closely with experimental data, indicating the promise of this approach in designing a cycle-by-cycle HCCI controller over a broad load-speed range.
advances in computing and communications | 2015
Zheng Qu; Nikhil Ravi; Joel Oudart; Eric Doran; Varun Mittal; Aleksandar Kojic
Spark assisted compression ignition (SACI) is currently under exploration as a combustion strategy to extend the operating range of homogeneous charge compression ignition (HCCI), which provides efficiency benefits over standard spark ignition (SI) combustion. This paper presents a physics-based control-oriented approach to modeling combustion in SACI. A double-Wiebe function is developed to capture the two-stage energy release seen in SACI, where a portion of the fuel is burned through flame propagation initiated by a spark, which then initiates auto-ignition in the remaining fuel. This double-Wiebe function is incorporated into a previously developed continuous-time model of HCCI combustion, and correlations for the Wiebe function parameters are developed based on physical model states. A simpler cycle-by-cycle HCCI model is also extended with a two-step energy release description for SACI combustion. Both models accurately capture the behavior of SACI and its sensitivity to different actuators when compared to experimental data.
Archive | 2011
Michael Baeuerle; Stefan Woerz; Joel Oudart
Archive | 2014
Eric Doran; David Cook; Joel Oudart; Nikhil Ravi
Archive | 2014
Nikhil Ravi; Joel Oudart; Nalin Chaturvedi; David Cook
Archive | 2014
Ando Feyh; Gary O'Brien; Joel Oudart; Nikhil Ravi
publisher | None
author
Archive | 2016
Nikhil Ravi; Joel Oudart; Shyam Jade; Jason Schwanke; Li Jiang
Archive | 2014
Erik Hellström; Anna G. Stefanopoulou; Li Jiang; Jeffrey S. Sterniak; Nikhil Ravi; Joel Oudart; Jason Schwanke