Powering Wireless Sensor Nodes for Industrial IoT Applications using Vibration Energy Harvesting

Author(s):  
Juan Carlos Rodriguez ◽  
Valeria Nico ◽  
Jeff Punch
Author(s):  
A. Dompierre ◽  
M. S. Traore ◽  
L. G. Fréchette

This work presents a study of car vibrations measured under typical driving conditions to assess the potential of powering automotive sensors incorporated in cars via vibration energy harvesting (VEH). The locations where sensors or switches are currently used and the requirements of potential automotive wireless sensor nodes were used as criteria to narrow down the location of the measurements. A total of 20 locations were retained after keeping the sensors with lower requirements. Random vibrations due to the road perturbations as well as part of the structural responses of the vehicle from changing vehicle speed were observed through vibration peaks which shift in frequency and others which are steady despite the changing conditions. The spectral analyses indicate that most of the available vibration energy is in a frequency range below 200 Hz, with harvestable consistent peaks below 140 Hz on the front chassis, the rear and front plastic bumpers and the brake fluid tank. An analytical model is used to assess the power output from several linear harvester MEMS designs and we estimate that continuous power over 100 nW are achievable from those sources.


Sensors ◽  
2019 ◽  
Vol 19 (17) ◽  
pp. 3776 ◽  
Author(s):  
Juan Carlos Rodriguez ◽  
Valeria Nico ◽  
Jeff Punch

Electromagnetic Vibration Energy Harvesting (EM-VEH) is an attractive alternative to batteries as a power source for wireless sensor nodes that enable intelligence at the edge of the Internet of Things (IoT). Industrial environments in particular offer an abundance of available kinetic energy, in the form of machinery vibrations that can be converted into electrical power through energy harvesting techniques. These ambient vibrations are generally broadband, and multi-modal harvesting configurations can be exploited to improve the mechanical-to-electrical energy conversion. However, the additional challenge of energy conditioning (AC-to-DC conversion) to make the harvested energy useful brings into question what specific type of performance is to be expected in a real industrial application. This paper reports the operation of two practical IoT sensor nodes, continuously powered by the vibrations of a standard industrial compressor, using a multi-modal EM-VEH device, integrated with customised power management. The results show that the device and the power management circuit provide sufficient energy to receive and transmit data at intervals of less than one minute with an overall efficiency of about 30%. Descriptions of the system, test-bench, and the measured outcomes are presented.


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