重庆理工大学学报2024，Vol.38Issue(9)：61-70,10.DOI:10.3969/j.issn.1674-8425(z).2024.05.008
端部绕组浸没式冷却电机散热结构设计与优化
Design and optimization of heat dissipation structure of end-winding immersion-cooled motor
摘要
Abstract
To address the difficulty in heat dissipation in high power density motors, this paper designs an oil-cooled heat dissipation structure with submerged cooling of the end winding and studies the design and optimization method of the heat dissipation structure of the motor with submerged cooling of the end winding.Firstly, based on the theory of heat transfer and electromagnetism, the distribution of heat sources inside the motor is analyzed, and the temperature distribution and flow characteristics of the oil-cooled motor under the extreme working condition are analyzed by simulation.Then, the effects of the structural parameters of the oil bowl and oil channel on the maximum temperature of the motor and the pressure drop of the oil channel are quantitatively investigated.Finally, the multi-objective optimization experiment is conducted based on the response surface method, and a non-dominated sorting genetic algorithm ( NSGA-Ⅱ) with elite strategy is employed to obtain the optimal solution.The validity and feasibility of the optimization results are verified by simulation.Our results show the maximum temperature of the motor is 139.7 ℃ after optimization, 21.6 ℃ or 13.4％ lower than the maximum temperature of 161.3 ℃ before optimization.Meanwhile, the pressure in the oil channel drops from 65.6 kPa to 39.3 kPa, a reduction of 26.3 kPa or 40.1％.After the optimized design, the thermal performance of the oil-cooled motor improves significantly, which is conducive to the improvement of the efficiency and lifespan of the motor.Our study may provide some references for the design and optimization of motor heat dissipation structure.关键词
浸没式冷却/温度分布/NSGA-Ⅱ算法/多目标优化Key words
immersion cooling/temperature distribution/NSGA-Ⅱ algorithm/multi-objective optimization分类
信息技术与安全科学引用本文复制引用
张志刚,曾辉..端部绕组浸没式冷却电机散热结构设计与优化[J].重庆理工大学学报,2024,38(9):61-70,10.基金项目
国家自然科学基金项目(52172355) （52172355）
重庆市高校创新研究群体项目(CXQT21027) （CXQT21027）
