Smart Structures and Systems

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An original device for train bogie energy harvesting: a real application scenario

  • Amoroso, Francesco (University of Napoli "Federico II", Industrial Engineering Department) ;
  • Pecora, Rosario (University of Napoli "Federico II", Industrial Engineering Department) ;
  • Ciminello, Monica (C.I.R.A.- Italian Aerospace Research Center, Smart Structures Lab) ;
  • Concilio, Antonio (C.I.R.A.- Italian Aerospace Research Center, Smart Structures Lab)
  • Received : 2014.03.19
  • Accepted : 2014.12.27
  • Published : 2015.09.25
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Abstract

Today, as railways increase their capacity and speeds, it is more important than ever to be completely aware of the state of vehicles fleet's condition to ensure the highest quality and safety standards, as well as being able to maintain the costs as low as possible. Operation of a modern, dynamic and efficient railway demands a real time, accurate and reliable evaluation of the infrastructure assets, including signal networks and diagnostic systems able to acquire functional parameters. In the conventional system, measurement data are reliably collected using coaxial wires for communication between sensors and the repository. As sensors grow in size, the cost of the monitoring system can grow. Recently, auto-powered wireless sensor has been considered as an alternative tool for economical and accurate realization of structural health monitoring system, being provided by the following essential features: on-board micro-processor, sensing capability, wireless communication, auto-powered battery, and low cost. In this work, an original harvester device is designed to supply wireless sensor system battery using train bogie energy. Piezoelectric materials have in here considered due to their established ability to directly convert applied strain energy into usable electric energy and their relatively simple modelling into an integrated system. The mechanical and electrical properties of the system are studied according to the project specifications. The numerical formulation is implemented with in-house code using commercial software tool and then experimentally validated through a proof of concept setup using an excitation signal by a real application scenario.

Keywords

References

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