Electromagnetic Vibration Energy Harvesting for Railway Applications

Bradai, Sonia; Naifar, Slim; Viehweger, Christian; Kanoun, Olfa

doi:10.1051/matecconf/201814812004

Cited by 36 publications

(19 citation statements)

References 11 publications

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“…These values are usually high particularly for small ships sailing in open water. Railway transport shows generally the highest values of mean acceleration due to vibrations, with maximum values of about 20 m/s 2 and average levels of around 3 m/s 2 , and fundamental frequencies of around 20-40 Hz [19]. Concerning thermal gradients, they may be significant but strongly depend on several factors affecting the container such as total or partial exposure to solar radiation, cooling and airflow systems [20].…”

Section: Case Study: Smart Containermentioning

confidence: 99%

Energy harvesting approaches in IoT scenarios with very low ambient energy

Lopez-Martin¹,

Algueta²,

Matı́as³

2019

REPQJ

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The feasibility of multi-source energy harvesting in Internet of Things (IoT) scenarios with low and intermittent ambient energy is addressed. As a relevant case study, application to a smart cargo container system is analysed. The most relevant features of the main energy sources available in this target application are identified, and various transducers adapted to such sources are evaluated. Measurement results indicate that combined piezoelectric and thermoelectric generation inside cargo containers can significantly extend the battery lifetime of IoT end nodes embedded in such containers.

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Section: Case Study: Smart Containermentioning

confidence: 99%

Energy harvesting approaches in IoT scenarios with very low ambient energy

Lopez-Martin¹,

Algueta²,

Matı́as³

2019

REPQJ

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“…These data are important with regard to the amount of energy to be harvested to estimate how the energy life of the sensor node can be quantified, improved and optimised [14]. The frequency…”

Section: Figurementioning

confidence: 99%

“…To analyse the influence of the maintenance condition of the tram on the vibration level of the motor bogie, different trams in different maintenance conditions were also examined [6]. These data are important with regard to the amount of energy to be harvested to estimate how the energy life of the sensor node can be quantified, improved and optimised [14]. The frequency To investigate various application scenarios, manually triggered vibration measurements were carried out under different track conditions.…”

Section: Metrological Analysismentioning

confidence: 99%

Design of a Wireless and Energy Autonomous Sensor Network for Condition Monitoring of Tram Drive Components

Wolf

Hund

Rudolph

et al. 2018

Designs

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Although condition monitoring is very important for a reliable operation of tram powertrain components, conventional wired sensor systems do not manage to find wide acceptance because of installation and security costs. To address those issues, we propose a novel condition monitoring system based on a wireless and energy self-sufficient sensor network, where the individual sensor nodes harvest energy from vibrations, occurring while the tram is in motion. First, we performed an experimental investigation to identify the most important boundary conditions for the system design. Second, we designed individual sensor nodes using parameters derived from the previous investigation. Finally, the sensor network was deployed and tested on the tram gearboxes. The obtained measurement data were recorded at a sufficient sampling rate of 4.56 kHz and were successfully transferred from the tram gearbox to the network base station within a radius of 10 m inside the tram despite factors such as reflections, fading and electromagnetic compatibility. A piezoelectric vibration harvester is the power supply for the sensor nodes and it delivers up to 21.22 mW for relevant vibration frequency range between 10 Hz and 30 Hz, thus enabling deployment of autonomous sensor nodes.Designs 2018, 2, 50 2 of 13 tram monitoring are presented in [3][4][5][6]. The power supply and data transmission within the sensor network must be wireless. In contrast, multiple cable bundles can be torn easily because of moving components caused by spring and damper strokes. Multiple cable bundles also lead to considerably increased maintenance and motor supply cables can induce parasitic influences in the measurement cabling. Long measurement cables reduce the transferable frequency range for an analogue signal, which limits the ability to analyse high frequency vibration signals. Another obvious advantage of the wireless diagnostic technology is the "drag and drop" of many individual sensors reducing installation and maintenance costs.As wireless sensor nodes power supply, Vibration Energy Harvesting (VEH) appears to be a promising solution [7]. Unlike batteries, VEH can provide a continuous energy supply, while the batteries are temperature-dependent, which leads to non-deterministic battery end-of-life and premature replacement. As expected, the logistical effort to change batteries results in increased maintenance costs. The advantage of using VEH with respect to other types of harvesting (e.g., thermal [8] or solar [9] harvesting) is the permanent availability of unused tram vibration energy. An example of the use of thermal harvesting is given in [10]. This harvesting technology is unsuitable for use in summer because the temperature difference between heat source and environment is smaller than in the winter. It is also observed that the gearboxes are operated far below their design parameters and it is unrealistic to expect radiation of large amounts of heat. Another alternative application scenario is presented in [11]. In this setup, a single wheel s...

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“…The increase of wireless sensor systems, is requiring nowadays more and more technologies to provide and ensure sufficient energy. A good alternative for battery use is to harvest from ambient sources and especially from vibration source, which presents one of the promising sources due to its availability in indoor and outdoor application and its relatively high energy density [1].…”

Section: Introductionmentioning

confidence: 99%

Development of a hybrid vibration converter for real vibration source / Entwicklung eines Hybrid-Vibrationswandlers für eine echte Schwingungsquelle

Bradai

Naifar

Kanoun

2019

Tm - Technisches Messen

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Harvesting energy from ambient vibration sources is challenging due to its low characteristic amplitude and frequencies. In this purpose, this work presents a compact hybrid vibration converter based on electromagnetic and magnetoelectric principles working for a frequency bandwidth and under real vibration source properties. The combination of especially these two principles is mainly due to the fact that both converters can use the same changes of the magnetic field for energy harvesting. The converter was investigated using finite element analysis and validated experimentally. Results have shown that a frequency bandwidth up to 12 Hz with a characteristic resonant frequency at 24 Hz and a power density of 0.11mW/cm3 can be reached.

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Electromagnetic Vibration Energy Harvesting for Railway Applications

Cited by 36 publications

References 11 publications

Energy harvesting approaches in IoT scenarios with very low ambient energy

Energy harvesting approaches in IoT scenarios with very low ambient energy

Design of a Wireless and Energy Autonomous Sensor Network for Condition Monitoring of Tram Drive Components

Development of a hybrid vibration converter for real vibration source / Entwicklung eines Hybrid-Vibrationswandlers für eine echte Schwingungsquelle

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