作者：张威¹, 景国玺¹, 武一民¹, 杨征睿^2,3, 高辉^2,3

作者单位：1. 河北工业大学 天津市新能源汽车动力传动与安全技术重点实验室，天津 300400;
2. 中汽研（天津）汽车工程研究院有限公司，天津 300300;
3. 中国汽车技术研究中心有限公司，天津 300300

关键词：电驱动总成;噪声源识别;互补集合经验模态分解;快速独立分量分析;连续小波变换;阶次分析

摘要：

以某增程式电驱动总成为研究对象，提出基于联合算法的噪声分离识别模型。首先，采用互补集合经验模态分解(complementary ensemble empirical mode decomposition，CEEMD)联合快速独立分量分析(fast independent component analysis，FastICA)方法提取纯电模式稳态工况下单一通道噪声信号特征，利用复Morlet小波变换及FFT对各分量信号时频特性进行识别。其次，采用阶次分析法和声能叠加法对稳态分量信号对应的各瞬态响应阶次能量进行对比分析，并结合皮尔逊积矩相关系数(Pearson product moment correlation coefficient，PPMCC)相似性识别确定不同噪声激励源贡献度。结果表明：减速齿副啮合噪声对该增程式电驱总成纯电模式运行噪声整体贡献度最大。

Noise source identification of electric drive assembly based on CEEMD-FastICA-CWT combined transient response order
ZHANG Wei¹, JING Guoxi¹, WU Yimin¹, YANG Zhengrui^2,3, GAO Hui^2,3
1. Tianjin Key Laboratory of Power Transmission and Safety Technology for New Energy Vehicles, Hebei University of Technology, Tianjin 300400, China;
2. CATARC (Tianjin) Automotive Engineering Research Institute Co., Ltd., Tianjin 300300, China;
3. China Automotive Technology & Research Center Co., Ltd., Tianjin 300300, China
Abstract: Taking an extended-range electric drive assembly as the research object, this paper proposes a noise separation and identification model based on a joint algorithm. Firstly, the characteristics of single channel noise signal in pure electric mode are extracted by using complementary ensemble empirical mode decomposition (CEEMD) combined with fast independent component analysis (FastICA). At the same time, complex Morlet wavelet transform and FFT are used to identify the time-frequency characteristics of each component signal. And then, the order analysis method and the sound energy superposition method are used to compare and analyze the energy of each response order under transient conditions, and combine with the similarity recognition method of the Pearson product moment correlation coefficient (PPMCC) to determine the contribution of different noise excitation sources. The results show that the meshing noise of the gear pair of the reducer has the greatest contribution to the overall operating noise of the extended-range electric drive assembly in the pure electric mode.
Keywords: electric drive assembly;noise source identification;complementary ensemble empirical mode decomposition;fast independent component analysis;continuous wavelet transform;order analysis
2024, 50(4):144-152  收稿日期: 2022-03-15;收到修改稿日期: 2022-05-06
基金项目: 国防重点实验室基金资助项目（6142212200309）
作者简介: 张威(1996-),男,甘肃天水市人,硕士研究生,专业方向为电驱动总成振动噪声。
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