TRANSPORT TECHNICS. INVESTIGATION OF ELEMENTS. RELIABILITY
Numerical simulation and assessment of interior thermal comfort in a passenger vehicle using full-cloud CAE simulation software SimScale
This study presents a comprehensive numerical investigation of the interior thermal comfort conditions of a typical passenger vehicle using computational fluid dynamics tools embedded in the full-cloud CAE simulation software SimScale. The analysis evaluates airflow patterns, temperature distributions, and thermal comfort indices under constant summer conditions. A 3D model of the vehicle is utilized and appropriate boundary conditions are defined to simulate realistic operation of the Heating, Ventilation, and Air Conditioning systems. To assess passenger satisfaction with the thermal conditions inside the vehicle, the Predicted Mean Vote parameter, which is embedded in the software, is employed. This work demonstrates the effectiveness of accessible, cloud-based CFD platforms for optimizing thermal comfort in the early stages of vehicle interior design, allowing for simulations under specific and realistic conditions.