TY - GEN
T1 - Broadband Vibration Energy Harvesting from Underground Trains for Self-Powered Condition Monitoring
AU - Fu, Hailing
AU - Song, Wenzhe
AU - Qin, Yong
AU - Yeatman, Eric M.
N1 - Publisher Copyright:
© 2020 IEEE.
PY - 2019/12
Y1 - 2019/12
N2 - A broadband vibration energy harvester tailored for self-powered condition monitoring of underground trains is proposed and developed using mechanical non-linearity and integrated multi-mode vibration. A datadriven approach is adopted for harvester design using operational vibration data on a train bogie. The harvester is designed to be unobtrusive while exhibiting good performance in harvesting energy over a wide bandwidth. In this work, the on-site vibration data are first analysed with the design goals identified. Then, a broadband harvester is proposed, implemented and evaluated. The harvester consists of a pre-stretched hosting beam and a group of micro-beams with repulsive magnetic forces on their free ends. A multiple vibration-mode harvester with non-linear dynamics is obtained in such a design. This harvester exhibits good performance over a broad bandwidth in frequency sweep and pseudo-random tests, illustrating its capability in self-powered condition monitoring applications.
AB - A broadband vibration energy harvester tailored for self-powered condition monitoring of underground trains is proposed and developed using mechanical non-linearity and integrated multi-mode vibration. A datadriven approach is adopted for harvester design using operational vibration data on a train bogie. The harvester is designed to be unobtrusive while exhibiting good performance in harvesting energy over a wide bandwidth. In this work, the on-site vibration data are first analysed with the design goals identified. Then, a broadband harvester is proposed, implemented and evaluated. The harvester consists of a pre-stretched hosting beam and a group of micro-beams with repulsive magnetic forces on their free ends. A multiple vibration-mode harvester with non-linear dynamics is obtained in such a design. This harvester exhibits good performance over a broad bandwidth in frequency sweep and pseudo-random tests, illustrating its capability in self-powered condition monitoring applications.
UR - http://www.scopus.com/inward/record.url?scp=85093985508&partnerID=8YFLogxK
U2 - 10.1109/PowerMEMS49317.2019.93285904627
DO - 10.1109/PowerMEMS49317.2019.93285904627
M3 - Conference contribution
AN - SCOPUS:85093985508
T3 - 2019 19th International Conference on Micro and Nanotechnology for Power Generation and Energy Conversion Applications, PowerMEMS 2019
BT - 2019 19th International Conference on Micro and Nanotechnology for Power Generation and Energy Conversion Applications, PowerMEMS 2019
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 19th International Conference on Micro and Nanotechnology for Power Generation and Energy Conversion Applications, PowerMEMS 2019
Y2 - 2 December 2019 through 6 December 2019
ER -