The artificial intelligence autonomous vehicle identifies the vehicle environment based on communication, computer, network and control technology, and uses communication means to realize real-time and continuous control of the vehicle. However, the electronic module is prone to functional failure due to high temperature, and there are safety risks. In addition, after parking in the summer, the temperature of the passenger compartment rises sharply, and the internal electronic devices are in a high temperature state. Among them, the FCM is fixed on the front windshield and is exposed to direct sunlight, coupled with the influence of the black edge of the windshield, which is much higher than the surrounding ambient temperature. Therefore, taking FCM as the research object, a vehicle model is established to study the temperature and flow field changes in high-temperature environments, and the effects of different FCM cover designs on the temperature and flow field are compared. The results indicate that FCM is still much higher than the ambient temperature under the action of the air conditioning system. When the air conditioning is turned on after parking, the temperature of the FCM module continues to rise, and the front camera temperature increases most significantly, with a maximum temperature of 113 ℃ (Scheme 1), followed by the rain sensor, and a maximum temperature of 107 ℃ (Scheme 1). In addition, Scheme 3 has the most significant effect on reducing the temperature amplitude of the front camera, while Scheme 1 has the most significant effect on the rain sensor.

Autonomous driving  /  High temperatures in summer  /  Front camera  /  Rain sensor