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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.

, authors=Bo Wang, authorsList=Bo Wang, authorCompany=null, correspAuthors=null, authorNote=null, correspAuthorsNote=null, copyrightStatement=null, copyrightOwner=null, extLink=null, articleAbsUrl=null, sourceXml=null, magXml=null, pdfUrl=null, pdf=null, pdfFileSize=null, pdfExtLink=null, richHtmlUrl=null, mobilePdfUrl=null, reviewReport=null, pdfFirstPage=null, abstractGraph=null, abstractGraphContent=null, abstractVideo=null, citation=null, cebUrl=null, magXmlContent=null, mapNumber=null, fund=null), CN=ArticleExt(id=1308462943214006855, articleId=1308462942576472645, tenantId=1146029695717560320, journalId=1189918454225211397, language=CN, title=夏季高温驻车后空调启动工况下前置摄像头模块流场研究, columnId=0, journalTitle=汽车工程师, columnName=, runingTitle=null, highlight=null, articleAbstract=

为保证行车过程中智能驾驶模块正常工作，以前置摄像头模块（FCM）为研究对象，建立整车模型，研究高温环境下其温度场和流场变化情况，对比了不同FCM罩盖设计方案对温度场和流场的影响。结果表明：在空调系统作用下，FCM模块的温度仍远高于周围环境温度；驻车后启动空调的瞬间，FCM模块温度持续上升，前置摄像头温度升高最为显著，最高温度为113 ℃（方案1），雨量传感器次之，最高温度为107 ℃（方案1）；方案3对前置摄像头的降温效果最明显，方案1对雨量传感器的降温效果最显著。

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