TY - JOUR
T1 - A piezoelectric energy harvester for freight train condition monitoring system with the hybrid nonlinear mechanism
AU - Wang, Zhixia
AU - Wang, Wei
AU - Tang, Lihua
AU - Tian, Ruilan
AU - Wang, Chen
AU - Zhang, Qichang
AU - Liu, Cheng
AU - Gu, Fengshou
AU - Ball, Andrew
N1 - Funding Information:
The work was supported by the National Natural Science Foundation of China (Grant Nos. 12172248, 11872044, 12002300, 11772218, 12132010, 12021002), the National Key Research and Development Program of China (Grant No. 2020YFB2007202), and Catalyst Seeding General Grant (Contract No. 20-UOA-035-CSG) administered by the Royal Society of New Zealand.
Publisher Copyright:
© 2022 Elsevier Ltd
PY - 2022/11/15
Y1 - 2022/11/15
N2 - To improve operational safety and system reliability, real-time wireless health monitoring systems are necessary for freight trains. However, due to the lack of onboard power and space restrictions, monitoring sensors rely on batteries as power sources, which are not eco-friendly and involve high maintenance costs for battery replacement. Therefore, developing self-powered maintenance-free wireless monitoring sensors integrated with energy harvesting is in urgent demand. Here, we propose a compact ultralow-frequency and broadband piezoelectric energy harvester (UBPEH) that can be easily installed in the limited space of the axle box to effectively harvest bogie lateral vibrations. The T-shaped UBPEH employs magnetic interaction to soften the stiffness and strengthen the stopper operation in a low frequency range. To predict and optimize the prototype, we establish the model of UBPEH by considering the displacement, inclination angle and shape of the magnets. Theoretical and experimental results show that the prototyped UBPEH might operate in the range of 1 - 11 Hz, covering the representative frequencies of bogie vibrations on freight trains. An output power of 605 μW on a matched resistance of 200 kΩ under the acceleration of 11 Hz and 0.5 g (g = 9.8 m s2) is achieved, and the harvested electric power can successfully drive typical commercial wireless Bluetooth sensors. Furthermore, the harvester possesses output stability and mechanical durability under actual service hours of freight trains. The results of this work pave the way to implement self-powered wireless condition monitoring on freight trains.
AB - To improve operational safety and system reliability, real-time wireless health monitoring systems are necessary for freight trains. However, due to the lack of onboard power and space restrictions, monitoring sensors rely on batteries as power sources, which are not eco-friendly and involve high maintenance costs for battery replacement. Therefore, developing self-powered maintenance-free wireless monitoring sensors integrated with energy harvesting is in urgent demand. Here, we propose a compact ultralow-frequency and broadband piezoelectric energy harvester (UBPEH) that can be easily installed in the limited space of the axle box to effectively harvest bogie lateral vibrations. The T-shaped UBPEH employs magnetic interaction to soften the stiffness and strengthen the stopper operation in a low frequency range. To predict and optimize the prototype, we establish the model of UBPEH by considering the displacement, inclination angle and shape of the magnets. Theoretical and experimental results show that the prototyped UBPEH might operate in the range of 1 - 11 Hz, covering the representative frequencies of bogie vibrations on freight trains. An output power of 605 μW on a matched resistance of 200 kΩ under the acceleration of 11 Hz and 0.5 g (g = 9.8 m s2) is achieved, and the harvested electric power can successfully drive typical commercial wireless Bluetooth sensors. Furthermore, the harvester possesses output stability and mechanical durability under actual service hours of freight trains. The results of this work pave the way to implement self-powered wireless condition monitoring on freight trains.
KW - Hybrid nonlinear mechanism
KW - magnetic interaction
KW - stopper
KW - piezoelectric energy harvester
KW - self-powered
KW - wireless condition monitoring
KW - freight train
UR - http://www.scopus.com/inward/record.url?scp=85132907231&partnerID=8YFLogxK
U2 - 10.1016/j.ymssp.2022.109403
DO - 10.1016/j.ymssp.2022.109403
M3 - Article
VL - 180
JO - Mechanical Systems and Signal Processing
JF - Mechanical Systems and Signal Processing
SN - 0888-3270
M1 - 109403
ER -