In response to the issue of lithium battery performance degradation and safety risks caused by low-temperature environments in open-pit mines, this study proposes and optimizes a new type of integrated thermal management system for liquid indirect preheating and insulation based on an S-shaped dual-channel parallel flow heating plate. With the goal of improving temperature uniformity and reducing system energy consumption, the flow velocity, inlet temperature, and insulation layer thickness were selected as design variables, and the ΔTmax and ΔP were selected as objective functions. A high-precision quadratic regression model between the objective function and design variables was constructed using Box-Behnken experimental design combined with response surface methodology. Based on this model, a non-dominated sorting genetic algorithm was applied for multi-objective optimization to obtain the Pareto optimal solution set. Analysis of variance indicates: Flow velocity has a significant effect on both ΔTmax and ΔP. The inlet temperature significantly affects ΔTmax but has little effect on ΔP. The thickness of the insulation layer has a minor but significant effect on ΔP. Determine the optimal optimization point by comprehensively evaluating the power obtained from the fluid (PEF) and the distance from the ideal point. Compared with the initial design (V = 0.16 m/s, Ti = 25 °C, H = 5 mm), the optimized design (V = 0.138 m/s, Ti = 20 °C, H = 12.06 mm) reduced ΔTmax by 8.51 %, ΔP by 16.97 %, and PEF by 19.93 %. The results indicate that the designed thermal management system and its optimization method effectively enhance the temperature uniformity of mining lithium battery modules in low-temperature environments, while reducing system flow resistance and energy consumption.
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