As the development of hybrid electric vehicle (HEV) to high-speed, heavy-load, the electromechanical coupling vibration becomes the bottleneck in high-speed electromechanical hybrid transmission (EHT) system. To explore the dynamics characteristics and optimization direction for high-speed EHT system, an electromechanical coupling dynamics model under multi-source excitations is established with lumped-distributed parameter method and verified with experiment data. The dynamics model shows higher accuracy in both time and frequency domain analysis. On this basis, firstly, the comparison between lumped-shaft and distributed-shaft model is studied under time and frequency domain. Comparing with the lumped-shaft model, the distributed-shaft model shows higher accuracy, and can better reflect the coupling vibration of multi-stage planetary gears (PGs). Secondly, the inherent vibration model is derived, and the effect of electromechanical coupling and high-speed working conditions on inherent vibration characteristics are studied. Thirdly, a new method called ‘machine-electricity-magnet coupling interface’ is proposed to reveal the coupling vibration phenomenon. In addition, the signal of stator current and electromagnetic torque includes the frequency of PGs, which is a basis on the fault diagnosis and state monitor of EHT system. Last but not the least, the vibration acceleration of EHT system is analysed under variable speed and load working conditions. Rotation speed and gear meshing force is found as the main influencing factor of series EHT system, and the specific optimization direction is also given.

中文翻译：

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HEV 高速 EHT 系统机电耦合动力学建模及特性分析


随着混合动力汽车（HEV）向高速、重载方向发展，机电耦合振动成为高速机电混合动力传动（EHT）系统的瓶颈。为了探索高速EHT系统的动力学特性和优化方向，采用集总分布参数法建立了多源激励下的机电耦合动力学模型，并通过实验数据进行了验证。动力学模型在时域和频域分析中都显示出更高的精度。在此基础上，首先研究了时域和频域下集总轴模型与分布轴模型的比较。与集总轴模型相比，分布式轴模型具有更高的精度，能够更好地反映多级行星齿轮（PG）的耦合振动。其次，推导了固有振动模型，研究了机电耦合和高速工况对固有振动特性的影响。第三，提出了一种称为“机-电-磁耦合接口”的新方法来揭示耦合振动现象。另外，定子电流和电磁转矩信号中包含PG的频率，是EHT系统故障诊断和状态监测的依据。最后，分析了EHT系统在变速和变负载工况下的振动加速度。发现转速和齿轮啮合力是串联EHT系统的主要影响因素，并给出了具体的优化方向。