关键词: 自动防雾；起雾风险；热管理系统；汽车空调

Abstract: Auto anti-fog is important to new energy vehicle in driving safe and energy consumption. The purpose of this paper is to provide an anti-fog strategy considering both feedforward and feedback factors, that can improve vehicle comfortable and energy conservation. Based on the principle of vehicle fogging and defogging, calculate fog risk including feedforward and feedback factors. On one side calculate the glass temperature and dew point temperature as feedback factors, on the other side calculate feedforward factors fog risk such as solar, tunnel, windshield heat transfer, rain, number of passenger and cold start to ensure no fog risk. By building Simulink model and generating code to write strategy into software. After calibration and test, when fog risk is low, use less proportion of fresh inlet air, else increase fresh inlet air, change to defog and dehumidification mode. Thus, the system energy saving, passenger cabin comfort and driving safety are taken into account to the greatest extent.

Key words: Auto anti-fog; Fog risk; Thermal management system; Vehicle air conditioner