盤式交流永磁同步電機溫升影響因素研究

陳起旭 梁得亮 徐俊 曹秉剛

摘 要：首先根據(jù)510 kW盤式電機的電磁設(shè)計參數(shù)以及熱物性參數(shù)建立了三維溫度場流場耦合模型，分析了額定工況下電機發(fā)熱部件的溫度分布，接著對樣機進行了溫升實驗。針對溫升實驗電機溫度偏高進行了改進性研究探索。主動降溫方面，建立了三維軸向磁通電機模型，從鐵耗理論模型和電磁仿真模型角度分析了不同牌號硅鋼片，在空載和負(fù)載工況下，鐵耗瞬態(tài)變化趨勢。被動降溫方面，基于建立的三維耦合模型，分析了入口流速、端蓋材質(zhì)、額定負(fù)載和過載對電機定轉(zhuǎn)子最高溫度影響。接著分析了不同水道模型、不同入口流速條件下，對壁面對流換熱系數(shù)以及入口和出口壓力損失變化規(guī)律。通過以上溫升影響因素的分析，為后續(xù)盤式電機散熱冷卻改進設(shè)計提供理論依據(jù)。

關(guān)鍵詞：盤式交流永磁同步電機；溫升；影響因素分析

DOI：10.15938/j.emc.（編輯填寫）

中圖分類號： TM 32 文獻標(biāo)志碼：A 文章編號：1007 -449X（2018）00-0000-00（編輯填寫）

Abstract： First of all， according to electromagnetic parameters and thermal physical parameters of 510kW disk-type motor， the 3D liquid-solid coupling model is built in this paper. The temperature distribution of motor heating parts is analyzed under the rating condition， and then the temperature rise test of prototype is per-formed. For the case that the temperature of motor is relatively high， affecting factors of temperature rise test are studied from the perspective of temperature reduction actively and passively. On the respect of temperature reduction actively， a 3D axial flux PMSM model is put forward. Changing trends of iron core loss is analyzed under the no-load and load conditions， which using different brands of silicon steel sheet based on the theoretical model of iron core loss and electromagnetic simulation model. On the respect of temperature reduction passively， the influence factors on the highest temperature of stator and rotor are analyzed， which include inlet velocity， end cap material， and different load based on the 3D liquid-solid coupling model. Finally， the convective heat trans-fer coefficient and pressure loss between inlet and outlet are studied， which change with different water channel type and inlet velocity. Through above analysis of influential factor on temperature rise， the theoretical foundation is laid for improving the thermal management of disk-type motor.

Keywords： disc-type alternating current permanent magnet synchronous motor； temperature rise； influence factor analysis