Bionic liquid cooling plate thermal management system based on flow resistance-thermal resistance model.

Since the computational fluid dynamics (CFD) method is cumbersome and computationally intensive in optimizing the battery thermal management system (BTMS), a comprehensive computational method of total thermal resistance and pressure loss of liquid-cooled battery thermal management system with coupled flow resistance model (FRM) and thermal resistance model (TRM) was proposed, so that the total thermal resistance (TTR) and pressure drop (ΔP) of liquid-cooled battery thermal management system under various operating conditions can be calculated concisely and quickly, and then the optimization of the structural parameters of liquid-cooled plates can be achieved quickly. First, the reliability of the CFD simulation was verified by liquid-cooled plate (LCP) experiments, and the reliability of the flow resistance-thermal resistance model was further verified by CFD simulation results. Then, the sensitivity of different mass flow rate and liquid cooling channel structure parameters were analyzed. The results showed that the thermal performance and system energy consumption of the cold plate were mainly influenced by the coolant mass flow rate (m) and the channel structure factors such as the bifurcation channel angle (α), channel width (b), channel height (h), and distance between bifurcation channels (d1, d4) of the cold plate. Finally, the Neighborhood Cultivation Genetic Algorithm (NCGA) was used to optimize the total thermal resistance (TTR) and pressure drop (ΔP) of the liquid-cooled plate with the above six parameters as design variables and the total thermal resistance (TTR) and pressure drop (ΔP) as objective functions. Compared to the model before optimization, the total thermal resistance (TTR) and pressure drop (ΔP) of the optimized cold plate were reduced by 0.2409 K/W and 8.7371 Pa, respectively. • A new method combining flow resistance and thermal resistance model was proposed. • Sensitivity analysis of the structural parameters of cold plate was carried out. • Optimal results can be obtained quickly by flow resistance-thermal resistance model. • The total thermal resistance and pressure drop are reduced by 0.2409 K/W and 8.7371 Pa, respectively. [ABSTRACT FROM AUTHOR]