Vehicle cooling flow simulation methods

A system for automated design of a vehicle front end thermal system having one or more heat exchangers configured to provide cooling to a vehicle torque generating device, the system comprising:

• a trained artificial intelligence (AI) model based on a comprehensive computational fluid dynamics (CFD) database;
• and
• a computing device, including one or more processors and a non-transitory computer-readable storge medium having a plurality of instructions thereon, which, when executed by the one or more processors, cause the one or more processors to perform operations comprising:
• receiving CAD data defining a vehicle front end environment including the thermal system;
• predicting, with the trained AI model, an airflow through the one or more heat exchangers;
• determining if the predicted airflow meets or exceeds a predetermined airflow target configured to remove a predetermined amount of thermal energy from the one or more heat exchangers to cool and maintain the torque generating device at a predetermined temperature;
• providing, via the trained AI model, AI driven design changes to the CAD data if the predicted airflow does not meet the predetermined airflow target;
• providing final CAD data of an optimized design achieved using the trained AI model, if the predicted airflow meets or exceeds the predetermined airflow target;
• and
• performing a CFD simulation of the final CAD data to validate the optimized design achieved using the trained AI model.