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Monte Carlo sensitivity analysis of vehicle suspension energy harvesting in frequency domain
Journal of Advanced Research ( IF 11.4 ) Pub Date : 2020-02-22 , DOI: 10.1016/j.jare.2020.02.012
Mohamed A.A. Abdelkareem , Abdelrahman B.M. Eldaly , Mohamed Kamal Ahmed Ali , Ismail M. Youssef , Lin Xu

Regenerative shock absorbers (RSAs) have still not entered production lines despite the promising potentials in energy efficiency and emission reduction. Vibration energy harvesting from vehicle dampers has been replicating the dynamics of passive viscous dampers. An accurate frequency-based analysis of the harvestable energy and dynamics for vehicle suspensions under typical operating conditions is essentially needed for designing functional Vibratory Regenerative Dampers (VRDs). This paper proposes frequency-based parametrical bandwidth sensitivity analyses of both the vehicular suspension dynamics and energy harvesting potentiality in accordance with the Monte Carlo sensitivity simulations. This provides insights into which suspension parameter could highly broaden the harvestable power magnitude, which contributes positively to conceptualizing an efficient design of a wide broad-banded energy harvesting damper leading to improved harvesting efficiencies in different road conditions. The conducted sensitivity analysis included the change in both frequency and amplitude bandwidth of the dissipative damping power, body acceleration, dynamic tire load, and suspension deflection. During the sensitivity simulations, a 2-DOFs (degrees-of-freedom) quarter-car model is considered, being excited by harmonic excitations. The selected suspension parameters were normally randomized according to the Gaussian probability distribution based on their nominal values and a 30% SD (standard deviation) with respect to the uniformly randomized excitation frequency. The results inferred higher sensitivity change in the harvestable power bandwidth versus the excitation parameters, damping rate, and tire properties. Conversely, the harvestable power hardly broadened with respect to the body and wheel masses and the spring stiffness.



中文翻译:

车辆悬架能量采集的频域蒙特卡罗敏感性分析

尽管在能源效率和减排方面潜力巨大,但再生减震器(RSA)仍未进入生产线。从车辆减震器收集振动能量一直在复制被动式粘性减震器的动力学。设计功能性振动蓄能阻尼器(VRD)时,需要在典型操作条件下对车辆悬架的可收获能量和动力学进行基于频率的准确分析。本文提出了基于频率的参数带宽灵敏度分析,根据蒙特卡罗灵敏度模拟,对车辆悬架动力学和能量收集潜力进行了分析。这提供了有关哪些悬架参数可以大大拓宽可收获功率幅度的见解,它有助于概念化宽频带能量收集阻尼器的高效设计,从而提高了不同道路条件下的收集效率。进行的灵敏度分析包括耗散阻尼功率的频率和幅度带宽,车身加速度,轮胎动态载荷和悬架挠度的变化。在灵敏度仿真过程中,考虑了2-DOF(自由度)四分之一汽车模型,该模型由谐波激励来激励。通常,基于其标称值和相对于均匀随机激励频率的30%SD(标准偏差),根据高斯概率分布对所选的悬架参数进行随机化。结果表明,与激励参数,阻尼率和轮胎性能相比,可收获动力带宽中的灵敏度变化更高。相反,相对于车身质量和车轮质量以及弹簧刚度,可收获的动力几乎没有扩大。

更新日期:2020-04-21
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