Energy-autonomous wireless sensor nodes for automotive applications, powered by thermoelectric energy harvesting

Mehne, Philipp; Lickert, F.; Bäumker, Eiko; Kroener, Michael; Woias, Peter

doi:10.1088/1742-6596/773/1/012041

Cited by 5 publications

(5 citation statements)

References 2 publications

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“…1 may be used. For the known load current, and ̅ determined by couple of measurements or simulations, can be predicted from (7). For example, for the WSN node with TEG2 the value ̅ mV/°C is extracted.…”

Section: Resultsmentioning

confidence: 99%

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The Influence of Ambient Conditions on the Performance of the Thermoelectric Wireless Sensor Network Node

Milić

Prijić

Vračar

et al. 2019

FU Work Liv Env Prot

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This paper considers the effects of the ambient temperature and unducted air flow on the voltage generated by a thermoelectric generator used to power wireless sensor network node. Structure of the node is simulated using a fully coupled numerical electro-thermal model with convective correlations. Results show that the effect of the ambient temperature is negligible as long as the temperature difference between the hot surface of the node and the ambient is maintained. For natural convection, voltage dependence on the temperature difference can be determined from the open circuit conditions and this can be used to approximate the load conditions. For forced convection, an increase rate of the generated voltage is governed by the thermal resistance of the heatsink and characteristic parameters of the thermoelectric generator.

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Section: Resultsmentioning

confidence: 99%

“…Such features are particularly desirable for nodes used in systems for environmental monitoring and protection. Among a variety of applications, energy harvesters are employed in the monitoring of air [2], water [3], soil [4,5], wildlife [6], exhaust gas pipes [7,8], etc.…”

Section: Introductionmentioning

confidence: 99%

The Influence of Ambient Conditions on the Performance of the Thermoelectric Wireless Sensor Network Node

Milić

Prijić

Vračar

et al. 2019

FU Work Liv Env Prot

View full text Add to dashboard Cite

show abstract

“…For the above applications, the temperature levels (<40˚C) allow a monobloc design including the recharging system, battery, and electronics. This is not the case where there is a very hot spot, such as in automotive applications with for example a TEG located on an exhaust pipe [24] or for applications with burned gas [25]. In such cases, the high thermal gradient provides a significant level of power but means that the electronics and storage must be moved away from the hot zone.…”

Section: Literature Reviewmentioning

confidence: 99%

Powering a Low Power Wireless Sensor in a Harsh Industrial Environment: Energy Recovery with a Thermoelectric Generator and Storage on Supercapacitors

Boitier,

Estibals,

Seguier

2023

EPE

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Wireless sensor networks are widely used for monitoring in remote areas. They mainly consist of wireless sensor nodes, which are usually powered by batteries with limited capacity, but are expected to last for long periods of time. To overcome these limitations and achieve perpetual autonomy, an energy harvesting technique using a thermoelectric generator (TEG) coupled with storage on supercapacitors is proposed. The originality of the work lies in the presentation of a maintenance-free, robust, and tested solution, well adapted to a harsh industrial context with a permanent temperature gradient. The harvesting part, which is attached to the hot spot in a few seconds using magnets, can withstand temperatures of 200˚C. The storage unit, which contains the electronics and supercapacitors, operates at temperatures of up to 80˚C. More specifically, this article describes the final design of a 3.3 V 60 mA battery-free power supply. An analysis of the thermal potential and the electrical power that can be recovered is presented, followed by the design of the main electronic stages: energy recovery using a BQ25504, storage on supercapacitors and finally shaping the output voltage with a boost (TPS610995) followed by an LDO (TPS71533).

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“…The interesting aspect of this technique is that it can be put into effect not only in situations in which heat is caused by sun rays, but whenever a thermal gradient arises due to the most disparate sources. For instance, in automotive applications, energy autonomous sensor nodes may be designed [19] exploiting the heat produced by the engine. Another idea could be that also heat dissipating by electronic devices could be harvested [20], or even exploiting thermal gradient within scenarios in which temperature monitoring is accomplished [21].…”

Section: Energy Harvesting Techniques For Wireless Sensor Networkmentioning

confidence: 99%

A Review of Energy Harvesting Techniques for Low Power Wide Area Networks (LPWANs)

Peruzzi

Pozzebon

2020

Energies

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The emergence of Internet of Things (IoT) architectures and applications has been the driver for a rapid growth in wireless technologies for the Machine-to-Machine domain. In this context, a crucial role is being played by the so-called Low Power Wide Area Networks (LPWANs), a bunch of transmission technologies developed to satisfy three main system requirements: low cost, wide transmission range, and low power consumption. This last requirement is especially crucial as IoT infrastructures should operate for long periods on limited quantities of energy: to cope with this limitation, energy harvesting is being applied every day more frequently, and several different techniques are being tested for LPWAN systems. The aim of this survey paper is to provide a detailed overview of the the existing LPWAN systems relying on energy harvesting for their powering. In this context, the different LPWAN technologies and protocols will be discussed and, for each technology, the applied energy harvesting techniques will be described as well as the architecture of the power management units when present.

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Energy-autonomous wireless sensor nodes for automotive applications, powered by thermoelectric energy harvesting

Cited by 5 publications

References 2 publications

The Influence of Ambient Conditions on the Performance of the Thermoelectric Wireless Sensor Network Node

The Influence of Ambient Conditions on the Performance of the Thermoelectric Wireless Sensor Network Node

Powering a Low Power Wireless Sensor in a Harsh Industrial Environment: Energy Recovery with a Thermoelectric Generator and Storage on Supercapacitors

A Review of Energy Harvesting Techniques for Low Power Wide Area Networks (LPWANs)

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