Ottimizzazione della geometria e analisi della fluidodinamica computazionale (CFD) della progettazione del sistema di batterie per veicoli elettrici (EV) = Geometry optimization and Computational Fluid Dynamics (CFD) analysis of battery system design for electric vehicles (EVs)

The aim of this research project was to optimize the thermal dynamic model of battery system design for electric vehicles (EVs) using Computational Fluid Dynamics (CFD) analysis. The primary objective was to develop thermal models for different cooling methods, including natural convection, forced convection, indirect cooling, partial immersion, and full immersion. In addition, several modified models with different geometric configurations were developed based on the previous simulation results. The findings indicate that the new geometric battery system design achieves significant temperature reduction while consuming less coolant compared to conventional approaches. These improvements demonstrate the potential of optimized designs to enhance both efficiency and thermal performance in EV battery systems. However, it is important to note that most of the simulations in this study were conducted under steady-state conditions. While this approach may not fully capture the behaviour of the battery system under realistic full-cycle operations. Future work should focus on extending the model to transient conditions to more accurately represent real-world battery performance. Incorporating such analysis would allow for a more comprehensive evaluation of thermal management strategies under dynamic charging and discharging scenarios. In conclusion, this study has demonstrated that the proposed geometric design achieves maximum temperature reduction with reduced coolant consumption, therefore fulfilling the objectives of this research project. The outcomes provide a solid foundation for future studies aimed at further improving the efficiency and performance of battery thermal management systems for electric vehicles.