This content is not included in your SAE MOBILUS subscription, or you are not logged in.
Model Predictive Control for Engine Powertrain Thermal Management Applications
ISSN: 0148-7191, e-ISSN: 2688-3627
Published April 14, 2015 by SAE International in United States
Annotation ability available
Numerous studies describe the fuel consumption benefits of changing the powertrain temperature based on vehicle operating conditions. Actuators such as electric water pumps and active thermostats now provide more flexibility to change powertrain operating temperature than traditional mechanical-only systems did.
Various control strategies have been proposed for powertrain temperature set-point regulation. A characteristic of powertrain thermal management systems is that the operating conditions (speed, load etc) change continuously to meet the driver demand and in most cases, the optimal conditions lie on the edge of the constraint envelope. Control strategies for set-point regulation which rely purely on feedback for disturbance rejection, without knowledge of future disturbances, might not provide the full fuel consumption benefits due to the slow thermal inertia of the system.
A solution to this problem is to design a control strategy that utilizes an estimate of variability of future disturbances. In this work, we consider the design of a controller for direct optimization of fuel consumption which allows for improved handling of constraints on temperatures and actuators. We propose a robust Model Predictive Control (MPC) formulation to optimize fuel consumption. The controller formulation guarantees that temperature constraints are met for future load and speed profile within specified bounds. The performance of the proposed controller is demonstrated through simulations on a system that uses an electric water pump, active thermostat and radiator fan, to control engine oil and metal (lumped block/head mass) temperature during regular driving so that fuel consumption is minimized.
|Technical Paper||Benefit of Coolant Control Module for Thermal Management on SUV|
|Technical Paper||Study of the Arrangement of Automobile Air-Conditioning Condenser and Engine Radiator in the Cooling Air Circuit|
CitationKarnik, A., Pachner, D., Fuxman, A., Germann, D. et al., "Model Predictive Control for Engine Powertrain Thermal Management Applications," SAE Technical Paper 2015-01-0336, 2015, https://doi.org/10.4271/2015-01-0336.
- Agarwal N. , Chiara F. and Canova M. Control-Oriented Model of an Automotive Thermal Management System IFAC Workshop on Engine Powertrain Control, Simulation and Modeling 2012
- Wagner , J. , Ghone , M. , Dawson , D. , and Marotta , E. Coolant Flow Control Strategies for Automotive Thermal Management Systems SAE Technical Paper 2002-01-0713 2002 10.4271/2002-01-0713
- Wagner , J. , Srinivasan , V. , Dawson , D. , and Marotta , E. Smart Thermostat and Coolant Pump Control for Engine Thermal Management Systems SAE Technical Paper 2003-01-0272 2003 10.4271/2003-01-0272
- Cipollone R. and Villante C. Vehicle Thermal Management: A Model-Based Approach Proceedings of ICEF04 Long Beach, California 2004
- Cortona E. , Onder C. H. and Guzzella L. Engine Thermomanagement with Electrical Components for Fuel Consumption Reduction International Journal of Engine Research 3 157 170 2002
- Setlur P. , Wagner J. , Dawson D. and Marotta E. An advanced engine thermal management system: nonlinear control and test Mechatronics, IEEE/ASME Transactions on 10 2 210 220 2005
- Salah M. H. , Mitchell T. H. , Wagner J. R. and Dawson D. M. Nonlinear-Control Strategy for Advanced Vehicle Thermal Management Systems IEEE Transactions on Vehicular Technology 57 1 127 137 2008
- Salah M. H. , Mitchell T. H. and Wagner J. R. A Smart Multiple-Loop Automotive Cooling System - Model, Control, and Experimental Study IEEE/ASME Transactions on Mechatronics 117 124 2010
- Vermillion C. , Sun J. and Butts K. Predictive Control Allocation for a Thermal Management System Based on an Inner Loop Reference Model - Design, Analysis, and Experimental Results IEEE Transactions on Control Systtems Technology 772 781 2011
- Pang H. and Brace C. Review of engine cooling technologies for modern engines Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering 218 11 1209 1215 2004
- Pachner D. , Germann D. and Stewart G. Identification Techniques for Control Oriented Models of Internal Combustion Engines Identification for Automotive Systems Springer 2012 211 230