Thermal predictive control for electric and hybrid powertrain

In the modern era of electric vehicles battery design and management is of a significant importance for electric vehicles performance and development. Specifically, thermal management of battery pack since overheating is a main issue for cooling system design. In this thesis, a model-based design approach is used to design a battery pack as well as the cooling system regardless of cell type. In addition, model accuracy has been proved through an experiment performed using a module composed of 10 Samsung 94Ah cells in series. MATLAB Simulink has been used as a tool for performing analysis and calculations. Comparison was held between two different cells and the one with better thermal behaviour is selected. Furthermore, a battery management strategy implementing a more complicated control algorithm based on prediction of the future battery temperature is applied to avoid battery overheating in extreme situations by applying necessary changes in the inverter.