A Novel Approach to Predict the Structural Dynamics of E-Bike Drive Units by Innovative Integration of Elastic Multi-Body-Dynamics

Kevin Steinbach, Dominik Lechler, Peter Kraemer, Iris Groß, Dirk Reith
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Abstract

This paper presents a novel approach to address noise, vibration, and harshness (NVH) issues in electrically assisted bicycles (e-bikes) caused by the drive unit. By investigating and optimising the structural dynamics during early product development, NVH can decisively be improved and valuable resources can be saved, emphasising its significance for enhancing riding performance. The paper offers a comprehensive analysis of the e-bike drive unit’s mechanical interactions among relevant components, culminating—to the best of our knowledge—in the development of the first high-fidelity model of an entire e-bike drive unit. The proposed model uses the principles of elastic multi body dynamics (eMBD) to elucidate the structural dynamics in dynamic-transient calculations. Comparing power spectra between measured and simulated motion variables validates the chosen model assumptions. The measurements of physical samples utilise accelerometers, contactless laser Doppler vibrometry (LDV) and various test arrangements, which are replicated in simulations and provide accessibility to measure vibrations onto rotating shafts and stationary structures. In summary, this integrated system-level approach can serve as a viable starting point for comprehending and managing the NVH behaviour of e-bikes.
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基于弹性多体动力学创新集成的电动自行车驱动单元结构动力学预测新方法
本文提出了一种新的方法来解决由驱动单元引起的电动自行车(e-bikes)的噪音、振动和粗糙度(NVH)问题。通过在产品开发早期对结构动力学进行研究和优化,可以果断地改善NVH,节省宝贵的资源,强调其对提高驾驶性能的重要性。本文对电动自行车驱动单元的相关部件之间的机械相互作用进行了全面的分析,最终-据我们所知-开发了整个电动自行车驱动单元的第一个高保真模型。该模型采用弹性多体动力学原理来解释结构在动力瞬态计算中的动力学问题。比较实测和模拟运动变量的功率谱,验证了所选模型的假设。物理样品的测量利用加速度计、非接触式激光多普勒振动仪(LDV)和各种测试安排,这些测试安排在模拟中被复制,并提供了测量旋转轴和固定结构振动的可访问性。总之,这种集成的系统级方法可以作为理解和管理电动自行车NVH行为的可行起点。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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