High-power insulated gate bipolar transistors (IGBTs) are important components of traction inverter. It is important to ensure the suitable temperature of the IGBT module for keeping the operation of trains efficient and safe. Due to the significant differences in train operating environment and traction performance, the cooling requirements for IGBT are also different. Therefore, identifying and matching various parameters of operating parameters of flow and heat transfer in high-power-density IGBT module liquid-cooling plate is of great significance to achieve optimal energy efficiency. Based on the Reynolds-averaged Navier–Stokes equations, shear stress transport k–ω turbulence model, and orthogonal experimental design, the flow and heat transfer characteristics of the liquid-cooling plate were simulated, and the numerical method and settings were verified experimentally. The results show that the single-parameter mapping relationship between the operating parameters and cooling performance indices (pressure drop, temperature rise, and maximum surface temperature, corresponding to Δp, ΔT, and T, respectively) of the liquid-cooling plate is clear, and the flow rate and physical properties of the cooling liquid have significant effects on the cooling performance. The multi-objective optimization method based on the radial basis function surrogate model and nondominated sorting genetic algorithm II can match operating parameters under the minimum of Δp, T and maximum of ΔT. Considering the appropriate values of the three indexes comprehensively based on Pareto optimal solution set, the error between the calculated value and the predicted value is less than 8 % when the inlet flow rate is 20 L/min, the temperature is 330.68 K, the pressure is 2.2 bar and the calorific value is 75.2 kW/m. The results can be to provide a method and database for engineers to design liquid-cooling plate for high-speed train IGBT to achieve the highest efficiency.

中文翻译：

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高速列车牵引逆变器IGBT模块液冷板流动传热关键运行参数敏感性分析及合理匹配


大功率绝缘栅双极晶体管（IGBT）是牵引逆变器的重要组成部分。确保IGBT模块合适的温度对于保持列车高效、安全的运行非常重要。由于列车运行环境和牵引性能存在显着差异，对IGBT的冷却要求也不同。因此，识别并匹配高功率密度IGBT模块液冷板中流动和传热的各种运行参数对于实现最佳能效具有重要意义。基于雷诺平均Navier-Stokes方程、剪应力传递k-ω湍流模型和正交实验设计，对液冷板的流动和传热特性进行了模拟，并对数值方法和设置进行了实验验证。结果表明，液冷板的工作参数与冷却性能指标（压降、温升和最高表面温度，分别对应Δp、ΔT和T）之间的单参数映射关系清晰，冷却液的流量和物理性质对冷却性能有显着影响。基于径向基函数代理模型和非支配排序遗传算法II的多目标优化方法可以在Δp、T最小值和ΔT最大值下匹配运行参数。基于Pareto最优解集综合考虑三项指标的合适取值，当进口流量为20 L/min、温度为330.68 K、压力为20 L/min时，计算值与预测值误差小于8%。是 2。2 bar，热值为75.2 kW/m。研究结果可为工程师设计高速列车IGBT液冷板以实现最高效率提供方法和数据库。