矿用电动车辆驱动系统主动冷却控制策略研究

Research on Active Cooling Control Strategy of Mine Electric Vehicle Driving System

针对矿用电动车辆电机、电控的热管理控制策略进行研究,通过驱动系统的换热关系,建立了冷却回路仿真模型,根据电机台架试验对仿真模型的参数进行匹配,并验证仿真平台的真实性和准确性。优选冷却液温度作为模型预测目标,冷却液流量和散热风量为被控对象,设计了车辆驱动总成的模型预测控制器(MPC),对比分析了温控效率和系统能耗在MPC、PID、开关量策略下的不同表现。结果表明,对比PID和开关量控制方法,MPC方法在高效控温的同时系统能耗量更小。

Research was conducted on the thermal management control strategy for the electric motor and electronic control of mining electric vehicle.A cooling circuit simulation model was established based on the heat exchange relationship of the driving system.The parameters of the simulation model were matched based on motor bench tests,and the authenticity and accuracy of the simulation platform were verified.A model predictive controller(MPC)for the vehicle drive assembly was designed,with the optimal coolant temperature as the model prediction target and the coolant flow rate and heat dissipation airflow as the controlled objects.The different performances of temperature control efficiency and system energy consumption under MPC,PID,and switch strategy were compared and analyzed.The results show that compared with PID and switch control methods,the MPC method has lower system energy consumption while efficiently controlling temperature.