Optimization Study of Precise Control of Commercial Vehicle Cooling System Based on MAP Feedforward

Abstract Aiming at the problems of overcooling, overheating, the insufficient control accuracy of water pump and fan, and wastage of power consumption of traditional thermal management systems of commercial vehicles under transient conditions, this paper constructs a thermal management system control strategy model based on GT-Suite and Simulink platform and carries out experimental validation of the model under the C-WTVC cyclic conditions, and the results show that the model has a high degree of accuracy. In this paper, the MAP feed-forward control strategy is adopted to query the MAP of heat dissipation demand through the engine speed and torque, combined with the ambient temperature correction algorithm to get the corrected heat dissipation demand and calculate the target speeds of the water pump and the fan based on the theory of minimum power allocation, and at the same time, introduce the fuzzy PID feedback control to realize the precise regulation. Simulation results show that the optimized thermal management system improves the coolant temperature control accuracy by 88.9%, reduces the total power consumption of the water pump and fan by 53.4% under the C-WTVC cycle condition, which effectively reduces the fuel consumption, and provides the theoretical basis and methodological support for the energy-saving optimization of thermal management system for commercial vehicles.