Fuel Minimization of the Electric Engine Cooling System With Active Grille Shutter by Iterative Quadratic Programming

The electric engine cooling system with the active grille shutter requires intelligent and predictive control to reach its full benefits on fuel economy and thermal management. Conventional control methods regulate the coolant temperature to a fixed value but do not directly minimize the vehicle's fuel/energy consumption. By contrast, we design a fuel minimization controller through solving constraint nonlinear optimization problems, whose cost function is the total fuel consumption and constraints are the vehicle's physical limits. To achieve high computational efficiency and sufficient accuracy, the optimization problem is solved by iterative convex quadratic programming and quasilinearization. The advantages of the proposed control method on both fuel economy and engine thermal management are demonstrated by simulations.

[1]  Donald E. Kirk,et al.  Optimal control theory : an introduction , 1970 .

[2]  Hussein Jaddu,et al.  Direct solution of nonlinear optimal control problems using quasilinearization and Chebyshev polynomials , 2002, J. Frankl. Inst..

[3]  Jon Rigelsford,et al.  Automotive Control Systems: For Engine, Driveline and Vehicle , 2004 .

[4]  D.M. Dawson,et al.  An advanced engine thermal management system: nonlinear control and test , 2005, IEEE/ASME Transactions on Mechatronics.

[5]  Lino Guzzella,et al.  Vehicle Propulsion Systems: Introduction to Modeling and Optimization , 2005 .

[6]  Karl Henrik Johansson,et al.  Modelling and control of auxiliary loads in heavy vehicles , 2006 .

[7]  Marc Bodson,et al.  Constrained quadratic programming techniques for control allocation , 2006, IEEE Transactions on Control Systems Technology.

[8]  John R. Wagner,et al.  Nonlinear-Control Strategy for Advanced Vehicle Thermal-Management Systems , 2008, IEEE Transactions on Vehicular Technology.

[9]  Olle Sundström,et al.  A generic dynamic programming Matlab function , 2009, 2009 IEEE Control Applications, (CCA) & Intelligent Control, (ISIC).

[10]  Jing Sun,et al.  Modeling, Control Design, and Experimental Validation of an Overactuated Thermal Management System for Engine Dynamometer Applications , 2009, IEEE Transactions on Control Systems Technology.

[11]  D.M. Dawson,et al.  A Smart Multiple-Loop Automotive Cooling System—Model, Control, and Experimental Study , 2010, IEEE/ASME Transactions on Mechatronics.

[12]  P.P.J. van den Bosch,et al.  Integrated energy & emission management for hybrid electric truck with SCR aftertreatment , 2010, 2010 IEEE Vehicle Power and Propulsion Conference.

[13]  Vinod Shigarkanthi,et al.  Application of Design of Experiments and Physics Based Approach in the Development of Aero Shutter Control Algorithm , 2011 .

[14]  Ferit Küçükay,et al.  Improved Energy Management Using Engine Compartment Encapsulation and Grille Shutter Control , 2012 .

[15]  Frank Willems,et al.  Integrated Powertrain Control for optimal CO2-NOx tradeoff in an Euro-VI diesel engine with Waste Heat Recovery system , 2012, 2012 American Control Conference (ACC).

[16]  Lei Feng,et al.  Predictive control of the engine cooling system for fuel efficiency improvement , 2014, 2014 IEEE International Conference on Automation Science and Engineering (CASE).

[17]  Magnus Nilsson,et al.  Assessing the potential of prediction in energy management for ancillaries in heavy-duty trucks , 2014, 2014 European Control Conference (ECC).

[18]  John Batteh,et al.  Integrated Vehicle Thermal Management in Modelica: Overview and Applications , 2014 .

[19]  T. Uno,et al.  Study of Cooling Drag Reduction Method by Controlling Cooling Flow , 2014 .

[20]  Michel Dambrine,et al.  Optimal control based algorithms for energy management of automotive power systems with battery/supercapacitor storage devices , 2014 .

[21]  Lars Johannesson,et al.  Convex Optimization for Auxiliary Energy Management in Conventional Vehicles , 2014, 2014 IEEE Vehicle Power and Propulsion Conference (VPPC).

[22]  Cornelius Pfeifer,et al.  Evolution of Active Grille Shutters , 2014 .

[23]  Ferdinand Panik,et al.  Dynamic programming technique for optimizing fuel cell hybrid vehicles , 2015 .

[24]  Vicente Franco,et al.  HEAVY-DUTY VEHICLE FUEL-EFFICIENCY SIMULATION : A COMPARISON OF US AND EU TOOLS , 2015 .

[25]  Mikael Söderman,et al.  Optimal Vehicle Control for Fuel Efficiency , 2015 .

[26]  S. Baskar,et al.  Airflow Management in Automotive Engine Cooling System - Overview , 2015 .

[27]  Ali Mohammadi,et al.  Evaluation of Fuel Economy Potential of an Active Grille Shutter by the Means of Model Based Development Including Vehicle Heat Management , 2015 .

[28]  Lei Feng,et al.  Optimal Complete Vehicle Control for Fuel Efficiency , 2016 .

[29]  Mrdjan J. Jankovic,et al.  Vehicle Powertrain Thermal Management System Using Model Predictive Control , 2016 .

[30]  Haijun Peng,et al.  Solutions of nonlinear constrained optimal control problems using quasilinearization and variational pseudospectral methods. , 2016, ISA transactions.

[31]  John Wagner,et al.  Advanced Engine Cooling System Subjected to Ram Air Effect—Nonlinear Adaptive Multiple Input and Multiple Output (NAMIMO) Control , 2017, IEEE Transactions on Vehicular Technology.

[32]  Stefan Börjesson,et al.  Reducing auxiliary energy consumption of heavy trucks by onboard prediction and real-time optimization , 2017 .

[33]  Amey Y. Karnik,et al.  Calibration and Demonstration of Vehicle Powertrain Thermal Management Using Model Predictive Control , 2017 .

[34]  Zhiwu Li,et al.  The Optimal Road Grade Design for Minimizing Ground Vehicle Energy Consumption , 2017 .

[35]  Young-Chang Cho,et al.  Optimization of Active Grille Shutters Operation for Improved Fuel Economy , 2017 .

[36]  Zhe Li,et al.  Trajectory Optimization-Based Auxiliary Power Unit Control Strategy for an Extended Range Electric Vehicle , 2017, IEEE Transactions on Vehicular Technology.

[37]  Lixiang Li,et al.  Integration of complex Modelica-based physics models and discrete-time control systems: Approaches and observations of numerical performance , 2017, Modelica.

[38]  Ali Emadi,et al.  Recent Developments in Thermal Management of Electrified Powertrains , 2018, IEEE Transactions on Vehicular Technology.

[39]  Navid Madani,et al.  An intelligent cooling system and control model for improved engine thermal management , 2018 .

[40]  Denise M. Rizzo,et al.  An Integrated Design and Control Optimization Framework for Hybrid Military Vehicle Using Lithium-Ion Battery and Supercapacitor as Energy Storage Devices , 2019, IEEE Transactions on Transportation Electrification.