Electrostatic vibrational energy converter with two variable capacitors

Dragunov, V.P.; Ostertak, Dmitriy I.; Pelmenev, K.G.; Sinitskiy, R.E.; Dragunova, E.V.

doi:10.1016/j.sna.2020.112501

Cited by 17 publications

(3 citation statements)

References 37 publications

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“…These unique electrical transport and dielectric properties endows the material with tremendous application potential in smart microelectronic devices and dynamic responsive metamaterials. Figure 7 shows the Bi 2 Te 3 nanorods may play a great role in microwave filters, [60] LED drivers, [61] resonant converters, [62] nonvolatile memory, and other aspects, [63][64][65][66][67][68] proving that it has great potential in communication systems, intelligent devices, small generators, and intelligent storage.…”

Section: Resultsmentioning

confidence: 99%

Fascinating Electrical Transport Behavior of Topological Insulator Bi₂Te₃ Nanorods: Toward Electrically Responsive Smart Materials

Hou

Zhang

et al. 2022

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Electrical conductivity and dielectric parameters are general inherent features of materials. Controlling these characteristics through applied bias will add a new dimension to regulate the dynamic response of smart materials. Here, a fascinating electrical transport behavior is observed in topological insulator (TI) Bi2Te3 nanorods, which will play a vital role in intelligent materials or devices as a unit for information reception, processing or feedback. The Bi2Te3 nanorod aggregates exhibit a monotonic resistance response to voltage, with observed four‐fold change of electrical conductivity in a small range electric field of 1 V mm−1. The dielectric constant and dielectric loss of Bi2Te3 nanorod composites also show strong dependences on bias voltage due to the unique electrical transport characteristics. The unique voltage‐controlled electrical responses are attributed to the change of Fermi levels within the band structure of disordered TI nanorods, which are non‐parallel to the applied electric field. The excellent controllable inherent characteristics through electric field endows Bi2Te3 nanomaterials bright prospects for applications in smart devices and resistive random access memories.

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Section: Resultsmentioning

confidence: 99%

Fascinating Electrical Transport Behavior of Topological Insulator Bi₂Te₃ Nanorods: Toward Electrically Responsive Smart Materials

Hou

Zhang

et al. 2022

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“…However, there are two main problems for current devices to harvest biomechanical energy: (1) Most of the devices are based on a single conversion mechanism, leading to low energy conversion efficiency [ 24 , 25 , 26 , 27 , 28 , 29 ]; and (2) the energy is usually harvested from a single source. The movements of the human body are coordinated by many parts.…”

Section: Introductionmentioning

confidence: 99%

An Energy Harvester Coupled with a Triboelectric Mechanism and Electrostatic Mechanism for Biomechanical Energy Harvesting

et al. 2022

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Energy-harvesting devices based on a single energy conversion mechanism generally have a low output and low conversion efficiency. To solve this problem, an energy harvester coupled with a triboelectric mechanism and electrostatic mechanism for biomechanical energy harvesting is presented. The output performances of the device coupled with a triboelectric mechanism and electrostatic mechanism were systematically studied through principle analysis, simulation, and experimental demonstration. Experiments showed that the output performance of the device was greatly improved by coupling the electrostatic induction mechanisms, and a sustainable and enhanced peak power of approximately 289 μW was produced when the external impedance was 100 MΩ, which gave over a 46-fold enhancement to the conventional single triboelectric conversion mechanism. Moreover, it showed higher resolution for motion states compared with the conventional triboelectric nanogenerator, and can precisely and constantly monitor and distinguish various motion states, including stepping, walking, running, and jumping. Furthermore, it can charge a capacitor of 10 μF to 3 V within 2 min and light up 16 LEDs. On this basis, a self-powered access control system, based on gait recognition, was successfully demonstrated. This work proposes a novel and cost-effective method for biomechanical energy harvesting, which provides a more convenient choice for human motion status monitoring and can be widely used in personnel identification systems.

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“…To this end, the vibration source is most promising in industrial applications due to its presence in machines and its relatively high energy density [6]. In this case, several principles can be used to harvest energy from vibration, including electrostatic [7,8], piezoelectric [9,10], electromagnetic [11,12], and magnetoelectric [13,14] principles. Electromagnetic converters are the most considered in industrial applications due to their robustness, relatively relevant energy output, and their ease of integration compared to the other principles [6].…”

Section: Introductionmentioning

confidence: 99%

Vibration Converter with Passive Energy Management for Battery-Less Wireless Sensor Nodes in Predictive Maintenance

et al. 2022

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Predictive maintenance is becoming increasingly important in industry and requires continuous monitoring to prevent failures and anticipate maintenance processes, resulting in reduced downtime. Vibration is often used for failure detection and equipment conditioning as it is well correlated to the machine’s operation and its variation is an indicator of process changes. In this context, we propose a novel energy-autonomous wireless sensor system that is able to measure without the use of batteries and automatically deliver alerts once the machine has an anomaly by the variation in acceleration. For this, we designed a wideband electromagnetic energy harvester and realized passive energy management to supply a wireless sensor node, which does not need an external energy supply. The advantage of the solution is that the designed circuit is able to detect the failure without the use of additional sensors, but by the Analog Digital Converter (ADC) of the Wireless Sensor Nodes (WSN) themselves, which makes it more compact and have lower energy consumption. The electromagnetic converter can harvest the relevant energy levels from weak vibration, with an acceleration of 0.1 g for a frequency bandwidth of 7 Hz. Further, the energy-management circuit enabled fast recharging of the super capacitor on a maximum of 31 s. The designed energy-management circuit consists of a six-stage voltage multiplier circuit connected to a wide-band DC-DC converter, as well as an under-voltage lock-out (UVLO) circuit to connect to the storage device to the WSN. In the failure condition with a frequency of 13 Hz and an acceleration of 0.3 g, the super capacitor recharging time was estimated to be 24 s. The proposed solution was validated by implementing real failure detection scenarios with random acceleration levels and, alternatively, modus. The results show that the WSN can directly measure the harvester’s response and decide about the occurrence of failure based on its characteristic threshold voltage without the use of an additional sensor.

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Electrostatic vibrational energy converter with two variable capacitors

Cited by 17 publications

References 37 publications

Fascinating Electrical Transport Behavior of Topological Insulator Bi₂Te₃ Nanorods: Toward Electrically Responsive Smart Materials

Fascinating Electrical Transport Behavior of Topological Insulator Bi₂Te₃ Nanorods: Toward Electrically Responsive Smart Materials

An Energy Harvester Coupled with a Triboelectric Mechanism and Electrostatic Mechanism for Biomechanical Energy Harvesting

Vibration Converter with Passive Energy Management for Battery-Less Wireless Sensor Nodes in Predictive Maintenance

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Electrostatic vibrational energy converter with two variable capacitors

Cited by 17 publications

References 37 publications

Fascinating Electrical Transport Behavior of Topological Insulator Bi2Te3 Nanorods: Toward Electrically Responsive Smart Materials

Fascinating Electrical Transport Behavior of Topological Insulator Bi2Te3 Nanorods: Toward Electrically Responsive Smart Materials

An Energy Harvester Coupled with a Triboelectric Mechanism and Electrostatic Mechanism for Biomechanical Energy Harvesting

Vibration Converter with Passive Energy Management for Battery-Less Wireless Sensor Nodes in Predictive Maintenance

Contact Info

Product

Resources

About

Fascinating Electrical Transport Behavior of Topological Insulator Bi₂Te₃ Nanorods: Toward Electrically Responsive Smart Materials

Fascinating Electrical Transport Behavior of Topological Insulator Bi₂Te₃ Nanorods: Toward Electrically Responsive Smart Materials