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A Novel Vibration Driven Energy Self-Contained Sensing System for Monitoring of High-Speed Train Axle Boxes

  • Liyi Ma
  • , Zhipeng Wang*
  • , Kebei Chen
  • , Shukai Chen
  • , Limin Jia
  • , Yong Qin
  • *Corresponding author for this work
  • Beijing Jiaotong University

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

The operating environment of high-speed train axle boxes, combined with the unavailability of embedded power solutions, poses significant obstacles for condition monitoring. The installation of sensing infrastructure in energy limited areas is often impractical, limiting the performance of connected monitoring systems. Therefore, there is a growing need to innovate methods for capturing ambient energy during train operation, enabling autonomous monitoring systems for these components. Based on it, we introduce a self-contained vibration energy harvesting system tailored for high-speed train axle boxes. The system captures ambient vibrations from the surrounding environment and converts them into electrical power to support monitoring equipment. Advanced energy storage and management components are integrated to guarantee a continuous, reliable power supply for onboard sensors. The experimental data demonstrates that the system reaches a maximum power output of 26.36 mW at a frequency of 20 Hz and an amplitude of 5 mm. In continuous operation, the energy storage part is completely charged in 40 h through vibration energy harvesting, while also maintaining uninterrupted sensor functionality. By eliminating the reliance on external power sources or frequent battery changes, this system significantly improves the sustainability and reliability of condition monitoring for high-speed train axle boxes.

Original languageEnglish
Title of host publicationProceedings of the 1st Conference on Transportation and Energy Integration Technologies - Volume II
EditorsJia Limin, Peng Jia
PublisherSpringer Science and Business Media Deutschland GmbH
Pages108-116
Number of pages9
ISBN (Print)9789819567577
DOIs
StatePublished - 2026
Externally publishedYes
Event1st Conference on Transportation and Energy Integration Technologies, C-TEIT 2025 - Dalian, China
Duration: 25 Jul 202527 Jul 2025

Publication series

NameLecture Notes in Electrical Engineering
Volume1542 LNEE
ISSN (Print)1876-1100
ISSN (Electronic)1876-1119

Conference

Conference1st Conference on Transportation and Energy Integration Technologies, C-TEIT 2025
Country/TerritoryChina
CityDalian
Period25/07/2527/07/25

Keywords

  • Condition monitoring
  • Energy self-contained system
  • Integrated design
  • Vibration driven energy harvesting

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