Reconfigurable RF Energy Harvester with Customized Differential PCB Antenna

Bertacchini, Alessandro; Larcher, Luca; Maini, M.; Vincetti, Luca; Scorcioni, S.

doi:10.3390/jlpea5040257

Cited by 10 publications

(10 citation statements)

References 11 publications

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“…During the last years, several proposals of power management units for harvesting energy from a single transducer have been reported. The most common sources of energy are light [3], mechanical vibrations [4], thermal gradients [5] and radio frequency (RF) waves [6]. However, these techniques are restricted to applications where a relatively constant supply of the energy source employed is granted.…”

Section: Hybrid Energy Harvestingmentioning

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: Hybrid Energy Harvestingmentioning

confidence: 99%

Energy harvesting approaches in IoT scenarios with very low ambient energy

Lopez-Martin¹,

Algueta²,

Matı́as³

2019

REPQJ

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“…Although this topology suffers from some loss caused by the leakage current, but in terms of overall performance, this topology is considered the best in terms of PCE if the input power is low. Because of its higher sensitivity compared with others, this topology is widely used in previously reported works …”

Section: Characterization and Analysis Of Rectifier Circuitsmentioning

confidence: 99%

“…State‐of‐the‐art CMOS rectifiers for 915 MHz RFID show an output load range from 10 kΩ to 5.45 MΩ. The DC output power ranges from 0.2 to 50 μW whereas the reference voltage are between 0.53 and 2.75 V . For 5.8 GHz, only the work of Radiom et al can be referred to with an output load of 5.45 MΩ.…”

Section: Ultrasmall Antenna To Be Combined With the Rectifiermentioning

confidence: 99%

“…State-of-the-art CMOS rectifiers for 915 MHz RFID show an output load range from 10 kΩ to 5.45 MΩ. The DC output power ranges from 0.2 to 50 μW whereas the reference voltage are between 0.53 and 2.75 V. 12,15,16,19,22,31,34,39,44,47,50 work is set at 1 MΩ (1 μW, 1 V) for 915 MHz and 5.45 MΩ (0.594 μW, 1.8 V) for 5.8 GHz for a fair performance comparison with the circuits from the references. 17,22,34,47 To optimize the sensitivity and PCE of each topology, the large-signal S-parameter simulation (LSSP) and harmonic balance simulation (HB) have been applied.…”

Section: B Simulation Setupmentioning

confidence: 99%

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CMOS rectifier design for RFID chip with high sensitivity at low input power to be combined with an ultrasmall antenna

Jantarachote

Tontisirin²,

Akkaraekthalin

et al. 2019

Int J Numerical Modelling

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This paper presents CMOS radio frequency (RF) rectifier circuit design for radio frequency identification (RFID) tag with integrated on‐chip antenna. The proposed design focuses on high sensitivity and high efficiency at low input power. The rectifier circuit was designed using Advanced Design System (ADS) software tool with the UMC130 process as a single‐ended rectifier structure in different topologies where sensitivity and efficiency enhancement techniques are applied. This work presents the performance of the proposed CMOS RF rectifier circuit in comparison with previously published works for 915 MHz and 5.8 GHz operating frequencies. For the 915 MHz band, the highest sensitivity of −19.8 dBm is provided by the adaptive threshold voltage compensation circuit with a power conversion efficiency of 9.843%. The 5.8 GHz band uses the adaptive threshold voltage compensation and dynamic bulk bias techniques providing the highest sensitivity of −16.8 dBm. Compared with other works in the literature, the proposed circuits offer greater sensitivity and can easily be matched with ultrasmall on‐chip antennas because of appropriate values of the input impedance.

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“…The most common selected sources of energy are light [3,4], thermal gradients [5], mechanical vibrations [6][7][8] and radio frequency (RF) signals [9]. However, it has been observed that due to ambient variations, single harvesting sources can exhibit long periods of energy shortage, which reduces their overall dependability.…”

Section: Introductionmentioning

confidence: 99%

Multiple Input Energy Harvesting Systems for Autonomous IoT End-Nodes

Estrada-López

Abuellil

Zeng

et al. 2018

JLPEA

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Abstract:The Internet-of-Things (IoT) paradigm is under constant development and is being enabled by the latest research work from both industrial and academic communities. Among the many contributions in such diverse areas as sensor manufacturing, network protocols, and wireless communications, energy harvesting techniques stand out as a key enabling technology for the realization of batteryless IoT end-node systems. In this paper, we give an overview of the recent developments in circuit design for ultra-low power management units (PMUs), focusing mainly in the architectures and techniques required for energy harvesting from multiple heterogeneous sources. The paper starts by discussing a general structure for IoT end-nodes and the main characteristics of PMUs for energy harvesting. Then, an overview is given of different published works for multisource power harvesting, observing their main advantages and disadvantages and comparing their performance. Finally, some open areas of research in multisource harvesting are observed and relevant conclusions are given.

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Reconfigurable RF Energy Harvester with Customized Differential PCB Antenna

Cited by 10 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

CMOS rectifier design for RFID chip with high sensitivity at low input power to be combined with an ultrasmall antenna

Multiple Input Energy Harvesting Systems for Autonomous IoT End-Nodes

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