曲柄
能量收集
汽车工程
超级电容器
储能
振动
工程类
传动系
电压
机械能
悬挂(拓扑)
机制(生物学)
能量(信号处理)
电气工程
整流器(神经网络)
发电机(电路理论)
风力发电
电势能
机械工程
计算机科学
扭矩
物理
声学
功率(物理)
纯数学
电极
热力学
电化学
人工神经网络
机器学习
同伦
圆柱
量子力学
循环神经网络
随机神经网络
数学
作者
Shehar Bano,Lingji Kong,Yingjie Li,Weizhen Liu,Lei Zeng,Zutao Zhang,Malik Muneeb Abid
标识
DOI:10.1002/ente.202301079
摘要
Due to the continuous increase of expressways and toll stations, there is a high potential for energy harvesting for sideway electronic devices. This article proposes a novel road energy harvester (REH) based on a crank‐shaft mechanism using bidirectional to unidirectional phenomenon to be installed on expressway toll stations. The REH contains four main components: the oscillation input from the suspension, the transfer unit, the generator unit, and the energy storage unit. The REH uses a crank‐shaft with spur gears as a mechanical motion rectifier and one‐way bearings, which can convert the oscillatory vibration into unidirectional generator rotation. In the energy storage module, electrical energy is being stored in supercapacitors. This study covers the design, modeling, and simulation of a crank‐shaft‐based energy harvester for harvesting suspension vibration energy. The energy harvester's dynamic modeling is used to assess the damping features. Simulated tests are conducted to demonstrate the proposed energy harvester's efficacy. Experiments are conducted, and the highest output voltage of 6.9 V peak is recorded for 5 mm/s with an efficiency of 53.66% which is enough for self‐powered applications at expressway toll booths such as traffic lights, caution lights, LED displays, sensors, etc.
科研通智能强力驱动
Strongly Powered by AbleSci AI