An Adaptive Optimization Control Strategy For Advanced Engine Thermal Management Systems

Abstract

An engine thermal management system is required to remove the waste heat from the engine’s combustion process to ensure high efficiency operation within a safe temperature range. In advanced engine thermal management systems (AETMS), electric actuators replace the traditional thermostat, mechanical coolant pump, and radiator fans to improve the temperature control accuracy and system efficiency. In the presence of unknown disturbances in the system, it is a challenge to coordinately control multiple actuators to ensure accurate temperature control and low system parasitic energy consumption. This paper develops an adaptive optimization control strategy composed of a parameter estimator, a tracking controller and a balance point optimization block. In addition, the stability of the proposed strategy is proven by Lyapunov’s stability theory. Finally, the co-simulation results between Matlab and AEMsim are presented to show the effectiveness of the proposed approach.