The content delves into the significance of battery thermal management for electric vehicles using Lithium-ion batteries. It highlights the challenges faced by traditional models like CFD due to their complexity and time-consuming nature. The study introduces Reduced Order Models (ROM) as a faster alternative to maintain accuracy while speeding up the design process. Specifically, it focuses on the comparison between Linear Time Invariant (LTI) and Linear Parameter Varying (LPV) systems in predicting battery temperature under varying conditions. The LPV system with three scheduling parameters proves to be more effective in accurately modeling temperature profiles compared to LTI systems. Additionally, the impact of varying flow rates on thermal management performance is investigated, showing that proportional flow rates can lead to smoother temperature profiles.
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