基于响应面模型的智能台架供风系统开发

为解决瞬态工况下，汽车主动进气格栅（AGS）开度及风扇转速实时调整，换热器进风量时刻改变，热管理测试台架风机无法实时为换热器提供精准瞬态供风这一问题，应用计算流体力学（CFD）仿真技术，分析了换热器进风量与车速、AGS开度及风扇转速之间的关系，并构建了数学模型，模型预测误差小于6.6%。将该模型置于CANOE设备中，与VN1640设备及风机系统连接，可实时采集车速、AGS开度及风扇转速CAN信号，计算换热器进风量，从而控制风机输出相应风量，实现了台架风机为换热器提供精准、实时供风这一目标。

Development of an Intelligent Bench Air Supply System Based on Response Surface Model

Under transient conditions, the opening of the car''s active grille system(AGS) and the rotational speed of the fan are adjusted in real-time, leading to continuous changes in the air intake volume of the heat exchanger. Consequently, the fan of the thermal management test bench cannot provide accurate and immediate transient air supply for the heat exchanger. In this paper, computational fluid dynamics (CFD) simulation technology is used to analyze the relationship between the inlet air volume of the heat exchanger and factors such as vehicle speed, AGS opening and fan speed. Subsequently, a mathematical model is constructed with a prediction error of less than 6.6%. The model is then integrated into the CANOE device, connected to the VN1640 device and the fan system. The system can collect real-time CAN signals for vehicle speed, AGS opening, and fan speed, calculate the inlet air volume of the heat exchanger, and control the corresponding air volume output from the fan. It achieves the goal of providing the heat exchanger with accurate and real-time air supply through the bench fans.