新能源汽车油泵电机电磁力建模及其匝间故障监测方法研究  

Research on electromagnetic force modeling and inter-turn fault monitoring method for oil pump motors of new energy vehicle

作　　者：刘行谋 何明朗 肖遥 孙逊 吕翔 Liu Xingmou;He Minglang;Xiao Yao;Sun Xun;Lyu Xiang(College of Automation,Chongqing University of Posts and Telecommunications,Chongqing 400065,China;Chongqing Hongyu Precision Industry Group Co.,Ltd.,Chongqing 402760,China;Guizhou Aerospace Institute of Measuring and Testing Technology,Guiyang 550025,China)

机构地区：[1]重庆邮电大学自动化学院,重庆400065 [2]重庆红宇精密工业集团有限公司,重庆402760 [3]贵州航天计量测试技术研究所,贵阳550025

出　　处：《仪器仪表学报》2023年第9期300-310,共11页Chinese Journal of Scientific Instrument

基　　金：重庆市教委科学技术研究(KJQN202200634);教育部产学合作协同育人(220801480240051)项目资助。

摘　　要：新能源汽车油泵电机出现匝间故障,无法保证燃料供给、控制压力、提供润滑和冷却等,威胁行车安全。对此,本文提出了一种基于电流和振动信号相结合的匝间故障在线监测方法。首先,根据麦克斯韦张量法构建含有故障电流谐波的电磁力模型。其次,设计了一个多传感器的电机信号采集电路。最后,采用改进的自适应经验模态分解法对经降噪后的振动信号进行自适应分解,利用相关系数法对所得的一系列本征模式函数筛选和重构。综合评估峭度与均方根值之比以及包络谱特征因子,得到故障特征指标提升52.3%,表明重构信号具备更高的敏感性,并通过电流波形分析验证了重构信号与故障特征的一致性。该研究对油泵电机故障诊断和状态预测具有重要工程意义。The occurrence of inter-turn faults in the electric motor of the fuel pump in new energy vehicles cannot guarantee fuel supply,pressure control,lubrication,and cooling,which poses a threat to driving safety.To address this issue,this article proposes an online monitoring method for winding inter-turn faults by combining electromagnetic parameters and vibration signals.Firstly,the electromagnetic force model containing fault current harmonics is formulated according to the Maxwell tensor method.Then,a multisensor motor signal acquisition circuit is designed.Finally,the improved adaptive empirical mode decomposition method is applied to adaptively decompose the denoised vibration signals,and a set of intrinsic mode functions is selected and reconstructed by using the correlation coefficient method.The comprehensive evaluation of the kurtosis-to-root mean square ratio and envelope spectrum feature factor results in 52.3%improvement in the fault characteristic indicator.This indicates that the reconstructed signal has higher sensitivity.The consistency between the reconstructed signal and fault characteristics is further evaluated through analysis of current waveforms.This research holds important engineering significance for the fault diagnosis and state prediction of oil pump motors.

关 键 词：油泵电机 匝间故障 振动信号 自适应经验模态分解 故障特征 

分 类 号：TH38[机械工程—机械制造及自动化]