Research on cooling control strategy of mine electric vehicle driving system

This paper studies the control strategy of mine electric vehicle driving system, the simulation model of the vehicle driving system cooling circuit is established based on the heat transfer relationship between the motor and the electronic control components. According to the bench test results, the simulation model is matched to verify the authenticity and accuracy of the simulation platform. In addition, this paper designs a model predictive controller for the vehicle driving system, which selects the coolant temperature as the thermal management target, and the coolant flow and heat dissipation air volume as the controlled pairs. The performance of temperature control efficiency and energy consumption are compared under the model predictive control (MPC), PID and switching strategies. The analysis results show that the thermal management method based on model predictive control can cool the electronic control system more efficiently and consume less system energy.