| 基于程序集成及响应面模型的电机冷却性能优化 |
| |
| 引用本文： | 李成功,杨建玺,王团锋,王帅,毛亚洲.基于程序集成及响应面模型的电机冷却性能优化[J].航空动力学报,2019,46(10):19-24. |
| |
| 作者姓名： | 李成功 杨建玺 王团锋 王帅 毛亚洲 |
| |
| 作者单位： | 河南科技大学 机电工程学院,河南 洛阳471003,河南科技大学 机电工程学院,河南 洛阳471003,苏州朗高电机有限公司,江苏 苏州215100,三一重机有限公司,江苏 昆山215300,河南科技大学 机电工程学院,河南 洛阳471003 |
| |
| 基金项目： | 河南省科技攻关计划项目(162102210048) |
| |
| 摘 要： | 建立某60 kW电动汽车用永磁同步电机模型,理论分析得到最佳流道条数以及流道参数取值范围。以冷却流道宽度a、高度b作为设计变量,电机温升和流道进出口压差作为目标函数,通过Isight集成网格变形软件Sculptor和CFD计算软件Fluent,应用拉丁超立方设计方法创建样本点,并进行数据的自动提交仿真计算。根据得到的数据建立响应面模型,采用多岛遗传算法对近似模型寻优。优化后,电机温升和进出口压差分别下降了6.01%、6.81%,电机的性能和安全运行得到了保障。
|
| 关 键 词： | 电机冷却 温升 压差 程序集成 响应面模型 |
| 收稿时间： | 2019/6/19 0:00:00 |
Optimization of Motor Cooling Performance Based on Program Integration and Response Surface Model |
| |
| LI Chenggong,YANG Jianxi,WANG Tuanfeng,WANG Shuai and MAO Yazhou.Optimization of Motor Cooling Performance Based on Program Integration and Response Surface Model[J].Journal of Aerospace Power,2019,46(10):19-24. |
| |
| Authors: | LI Chenggong YANG Jianxi WANG Tuanfeng WANG Shuai and MAO Yazhou |
| |
| Institution: | School of Mechatronics Engineering, Henan University of Science and Technology,Luoyang 471003, China,School of Mechatronics Engineering, Henan University of Science and Technology,Luoyang 471003, China,Suzhou Lego Motors Co., Ltd., Suzhou 215100, China,Sany Heavy Machinery Co., Ltd., Kunshan 215300, China and School of Mechatronics Engineering, Henan University of Science and Technology,Luoyang 471003, China |
| |
| Abstract: | The model of a 60 kW permanent magnet synchronous motor for electric vehicles was established. The optimal number of flow channels and the range of flow channel parameters were acquired by theoretical analysis. The cooling channel width aand height bwere taken as design variables, and the motor temperature rise and the inlet outlet pressure difference were the objective functions. Through the Isight integrated mesh deformation software Sculptor and CFD calculation software Fluent, the sample points were created by using the Latin hypercube design method, and the data were automatically submitted for simulation calculation. Based on the obtained data, a response surface model was established, and the multi island genetic algorithm was used to optimize the approximate model. After optimization, the motor temperature rise and inlet outlet pressure difference were decreased by 6.01% and 6.81%, respectively. The performance and safe operation of the motor were guaranteed. |
| |
| Keywords: | motor cooling temperature rise pressure difference program integration response surface model |
|
| 点击此处可从《航空动力学报》浏览原始摘要信息 |
| 点击此处可从《航空动力学报》下载免费的PDF全文 |
|
