水冷电驱动桥串联式S型冷却水道的结构优化
Structural Optimization of Water Cooled Electric Axle Series S-type Cooling Channel
张冠楠 1陈俊 1罗伟凡1
作者信息
- 1. 联合汽车电子有限公司,上海 201206
- 折叠
摘要
新能源汽车用高功率密度水冷电驱动桥(以下简称电桥)通常面临严峻的温升问题.为此,首先进行电桥温升试验,发现不同工况下冷却液带走的热量占电桥产生的总热量的 75%～85%,说明提高冷却液的散热能力是改善电桥温升问题的主要途径.其次,通过理论计算和分析,对水冷电桥经常使用的串联式S型冷却水道的换热面积和冷却液流速进行优化.再次,进行计算流体动力学(Computational Fluid Dynamics,CFD)仿真模拟,结果表明:优化后的水道不仅可以有效消除冷却液流动过程中产生的有害涡流,而且可以阻止原设计中冷却液出现的局部回流;优化后的冷却液整体流场更加均匀,流线更加平滑;优化后水道的散热系数增加了9.45%.最后,再次进行温升试验,结果表明在相同工况下优化后的电桥定子热平衡温度平均降低了6.5℃,证实了冷却水道优化的效果.
Abstract
New energy vehicles with high power density water-cooled electric axle(hereinafter referred to as eAxle)usually face severe temperature rise problems.Therefore,the eAxle temperature rise test is carried out first,and it is found that the heat carries away by the coolant under different working conditions accounted for 75%to 85%of the total heat generated by the eAxle,indicating that improving the cooling capacity of the coolant is the main way to improve the temperature rise of the eAxle.Secondly,through theoretical calculation and analysis,the heat exchange area and coolant flow rate of the series S-type cooling channel often used in water-cooled eAxle are optimized.Thirdly,the Computational Fluid Dynamics(CFD)simulation is carried out.The results show that the optimized waterway can not only effectively eliminate the harmful eddy current generated during the coolant flow,but also prevent the local backflow of the original coolant.The optimized coolant flow field is more uniform and the flow line is smoother.After optimization,the heat dissipation coefficient of the water channel is increased by 9.45%.Finally,the temperature rise test is carried out again,and the results show that the optimized stator thermal equilibrium temperature of the eAxle is reduced by 6.5℃on average under the same working condition,which confirms the effect of the optimization of the cooling channel.
关键词
水冷电桥/冷却水道/结构优化/温升试验/计算流体动力学(CFD)Key words
water cooled eAxle/cooling water channels/structure optimization/temperature rise test/Computational Fluid Dynamics(CFD)引用本文复制引用
出版年
2024
NETL
NSTL
万方数据