Abdelkareem Mohamed A A, Eldaly Abdelrahman B M, Kamal Ahmed Ali Mohamed, Youssef Ismail M, Xu Lin
School of Automotive Engineering, Wuhan University of Technology, Wuhan 430070, China.
Automotive and Tractors Engineering Department, Faculty of Engineering, Minia University, El-Minia 61111, Egypt.
J Adv Res. 2020 Feb 22;24:53-67. doi: 10.1016/j.jare.2020.02.012. eCollection 2020 Jul.
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.
尽管再生式减震器（RSAs）在能源效率和减排方面具有巨大潜力，但仍未进入生产线。从车辆减震器中收集振动能量一直是在复制被动粘性减震器的动力学特性。对于设计功能性振动再生减震器（VRDs）而言，在典型运行条件下对车辆悬架可收集能量和动力学特性进行基于频率的精确分析至关重要。本文根据蒙特卡洛灵敏度模拟，提出了基于频率的车辆悬架动力学和能量收集潜力的参数带宽灵敏度分析。这有助于深入了解哪些悬架参数能够极大地拓宽可收集功率的幅度，这对构思一种高效的宽带能量收集减震器的设计具有积极作用，从而在不同路况下提高收集效率。所进行的灵敏度分析包括耗散阻尼功率、车身加速度、动态轮胎载荷和悬架挠度的频率和幅度带宽变化。在灵敏度模拟过程中，考虑了一个由谐波激励的两自由度（DOFs）四分之一车辆模型。所选悬架参数通常根据高斯概率分布，基于其标称值以及相对于均匀随机激励频率的30%标准差进行随机化。结果表明，与激励参数、阻尼率和轮胎特性相比，可收集功率带宽的灵敏度变化更高。相反，相对于车身和车轮质量以及弹簧刚度，可收集功率几乎没有拓宽。
