Smart Railway Transportation: Self‐Powered and Self‐Sensing Vibration Energy Harvester

Author:

Li Ang1,Fan Chengliang2,Tang Hongjie2,Zhang Zutao13ORCID,Liu Genshuo4,He Linyang1,Zhao Jie5,Zhou Jianhong1,Hu Yongli16

Affiliation:

1. School of Mechanical Engineering Southwest Jiaotong University Chengdu 610031 P. R. China

2. School of Information Science and Technical Southwest Jiaotong University Chengdu 610031 P. R. China

3. Chengdu Technological University Chengdu 611730 P. R. China

4. Department of Mechanical Engineering Beijing Institute of Technology Beijing 100081 P. R. China

5. Tangshan Institute of Southwest Jiaotong University Tangshan 063008 P. R. China

6. Jinan Rail Transit Group Co, Ltd Jinan Shandong 250101 China

Abstract

Safety monitoring sensors in smart railways need a sustainable onboard power supply. This article proposes a counter‐rotating gear energy harvester (CG‐EH) to convert the longitudinal vibration energy of trains into electricity for onboard sensors.CG‐EH consists of a vibration input module, a motion conversion module, and an energy conversion module. The vibration input module converts the longitudinal displacement of the coupler into the rotational motion of the gears. The motion conversion module realizes the conversion of the reciprocating input displacement into the unidirectional rotation based on a counter‐rotating gear set, multi‐stage spur gear sets can effectively mitigate the effects of excitation on CG‐EH. The energy conversion module transforms the kinetic energy of the unidirectional rotation into electrical energy through a generator. Experimental results show that the energy outputs of CG‐EH are improved with longitudinal vibration compared with the usual onboard energy harvester. From the result, the peak output power of CG‐EH is 14.59 W, the peak efficiency reaches 39.2%, enough to power relevant onboard sensors. Moreover, CG‐EH can monitor the running status of trains based on deep learning. From the experiment results and application prospects, CG‐EH is a favorable solution for the power supply problems of onboard sensors in smart railways.

Publisher

Wiley

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3