Optimization of piezoelectric energy harvester for wireless smart sensors in railway health monitoring

Jingcheng Li; Shinae Jang; Jiong Tang

doi:10.1117/12.2009918

19 April 2013 Optimization of piezoelectric energy harvester for wireless smart sensors in railway health monitoring

Jingcheng Li, Shinae Jang, Jiong Tang

Proceedings Volume 8692, Sensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems 2013; 86924L (2013) https://doi.org/10.1117/12.2009918
Event: SPIE Smart Structures and Materials + Nondestructive Evaluation and Health Monitoring, 2013, San Diego, California, United States

Abstract

Wireless sensor network is one of the prospective methods for railway monitoring due to the long-term operation and low-maintenance performances. How to supply power to the wireless sensor nodes has drawn much attention recently. In railway monitoring, the idea of converting ambient vibration energy from vibration of railway track induced by passing trains to electric energy has made it a potential way for powering the wireless sensor nodes. Nowadays, most of vibration based energy harvesters are designed at resonance. However, as railway vibration frequency is a wide band range, how to design an energy harvester working at that range is critical. In this paper, the energy consumption of the wireless smart sensor platform, Imote2, at different working states were investigated. Based on the energy consumption, a design of a bimorph cantilever piezoelectric energy harvester has been optimized to generate maximum average power between a wide-band frequency range. Significant power and current outputs have been increased after optimal design. Finally, the rechargeable battery life for supplying the Imote2 for railway monitoring is predicted by using the optimized piezoelectric energy harvesting system.

Citation Download Citation

Jingcheng Li, Shinae Jang, and Jiong Tang "Optimization of piezoelectric energy harvester for wireless smart sensors in railway health monitoring", Proc. SPIE 8692, Sensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems 2013, 86924L (19 April 2013); https://doi.org/10.1117/12.2009918

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