摘要
针对电动汽车DC/DC变换器散热效率较低影响内部电子器件工作的稳定性的问题,设计了高效的水冷式散热系统。基于板翅式结构的换热机理,采用遗传优化算法得到了冷却流道的最优结构尺寸。采用计算流体动力学的方法模拟了优化后流道内部的流场和温度场的分布情况。研究表明:实验结果与仿真结果基本一致;在要求的散热范围内,当流道高度为15mm、宽度为24mm时冷却系统的工作性能最佳;流道两端会产生强烈的湍流导致较大的压降;冷却液流量与压降呈指数函数关系,与散热量呈一次函数关系。研究方法对DC/DC冷却系统优化设计具有实际的指导意义。
Aiming at the problem that the low heat dissipation efficiency of DC/DC converter of electric vehicle affect the stability of internal electronic devices,an efficient water-cooled heat dissipation system are designed. Based on the heat transfer mechanism of plate-fin structure,the optimal structure parameters of cooling flow channel were obtained by genetic optimization algorithm. The distribution of flow field and temperature field in the optimized channel was simulated by computational fluid dynamics.The results show that the experimental results are basically consistent with the simulation results.When flow channel height is 15 mm and width is 24 mm,the cooling system has the best working performance within the scope of the requirements.Strong turbulence produced on both ends cause large pressure drop.The relationship between the coolant flow and pressure drop can be exponential function,and is linear with heat exchange amount.The research method has the practical guiding significance for optimization design of the DC/DC cooling system.
作者
张战杰
徐文静
刘志刚
王贺武
ZHANG Zhan-jie;XU Wen-jing;LIU Zhi-gang;WANG He-wu(Luoyang Vocational Technical College,He’nan Luoyang 471000,China;School of Resources Environment and Chemical Engineering,Nanchang University,Jiangxi Nanchang 330031,China;School of Mechanical Engineering,Tsinghua University,Beijing 100084,China)
出处
《机械设计与制造》
北大核心
2019年第5期241-244,共4页
Machinery Design & Manufacture
基金
中美清洁能源联合研究中心与清华大学国家重点实验室联合基金资助项目(2016YFE0102200)
关键词
传热机理
遗传算法
散热特性
压力损失
影响因素
Heat Transfer Mechanism
Genetic Algorithm
Thermal Performance
Pressure Drop
Influence Factors
