An Interdigital Planar Energy Harvesting/Storage Device Based On an Ionic Solid–Gel Polymer

2021 ◽  
Vol 3 (2) ◽  
pp. 696-703
Author(s):  
Ana L. Pires ◽  
Rui S. Costa ◽  
Clara Pereira ◽  
André M. Pereira
Electronics ◽  
2019 ◽  
Vol 8 (12) ◽  
pp. 1446 ◽  
Author(s):  
Hyun Jun Jung ◽  
Saman Nezami ◽  
Soobum Lee

Energy harvesters generate power only when ambient energy is available, and power loss is significant when the harvester does not produce energy and its power management circuit is still turned on. This paper proposes a new high-efficiency power management circuit for intermittent vibration energy harvesting. The proposed circuit is unique in terms of autonomous power supply switch between harvester and storage device (battery), as well as self-start and control of the operation mode (between active and sleep modes). The self-start controller saves power during an inactive period and the impedance matching concept enables maximum power transfer to the storage device. The proposed circuit is prototyped and tested with an intermittent vibration energy harvester. Test results found that the daily energy consumption of the proposed circuit is smaller than that of the resistive matching circuit: 0.75 J less in sleep mode and 0.04 J less in active mode with self-start.


Author(s):  
Jinxiao Zhang ◽  
Haili Liu ◽  
Ya Wang

In this paper, a self-supported power conditioning circuit is developed for a footstep energy harvester, which consists of a monolithic multilayer piezoelectric stack with a force amplification frame to extract electricity from human walking locomotion. Based on a synchronized switch energy harvesting on inductance (SSHI) interface and a peak detector topology, the power conditioning circuit is designed to optimize the power flow from the piezoelectric stack to the energy storage device under real-time human walking excitation instead of a simple sine waveform input, as reported in most literatures. The unique properties of human walking locomotion and multilayer piezoelectric stack both impose complications for circuit design. Three common interface circuits, e.g. standard energy harvesting (SEH) circuit, series-SSHI and parallel-SSHI are compared in experiments to find which one is the best suit for the real-time-footstep energy harvester. Experimental results show that the use of parallel-SSHI circuit interface produces 85% more power than the SEH counterpart, while the use of series-SSHI circuit demonstrates the similar performance in comparison to the SEH interface. The reasons for such a huge efficiency improvement by using the parallel-SSHI interface are detailed in this paper.


Electronics ◽  
2021 ◽  
Vol 10 (6) ◽  
pp. 661
Author(s):  
Marco Grossi

Wireless sensor network nodes and mobile devices are normally powered by batteries that, when depleted, must be recharged or replaced. This poses important problems, in particular for sensor nodes that are placed in inaccessible areas or biomedical sensors implanted in the human body where the battery replacement is very impractical. Moreover, the depleted battery must be properly disposed of in accordance with national and international regulations to prevent environmental pollution. A very interesting alternative to power mobile devices is energy harvesting where energy sources naturally present in the environment (such as sunlight, thermal gradients and vibrations) are scavenged to provide the power supply for sensor nodes and mobile systems. Since the presence of these energy sources is discontinuous in nature, electronic systems powered by energy harvesting must include a power management system and a storage device to store the scavenged energy. In this paper, the main strategies to design a wireless mobile sensor system powered by energy harvesting are reviewed and different sensor systems powered by such energy sources are presented.


Author(s):  
A. N. Soloviev ◽  
D. A. Ermakov

The paper deals with modeling a Piezoelectric Generator (PEG) that includes piezoactive elements, inertial mass, plate and rack. The PEG under consideration can be an element of the energy storage device in the capacity of the source of energy provided from vibrations of elements of structures and machines.The main objective of the paper is to gain the PEG efficiency by finding the optimal geometric parameters for finding the highest output potential.The elastic and piezoceramic media are modeled within the framework of the linear theory of electroelasticity. As a research tool, CAE package ACELAN is used in which three-dimensional and axisymmetric device models are built. The numerical experiments performed a modal and harmonic analysis that enabled us to identify the most effective operating frequencies.


2019 ◽  
Vol 30 (6) ◽  
pp. 813-822 ◽  
Author(s):  
Haili Liu ◽  
Rui Hua ◽  
Yang Lu ◽  
Ya Wang ◽  
Emre Salman ◽  
...  

In this article, the self-supported power conditioning circuits are studied for a footstep energy harvester, which consists of a monolithic multilayer piezoelectric stack with a force amplification frame to extract electricity from human walking locomotion. Based on the synchronized switch harvesting on inductance (SSHI) technology, the power conditioning circuits are designed to optimize the power flow from the piezoelectric stack to the energy storage device under real-time human walking excitation instead of a simple sine waveform input, as reported in most literatures. The unique properties of human walking locomotion and multilayer piezoelectric stack both impose complications for circuit design. Three common interface circuits, for example, standard energy harvesting circuit, series-SSHI, and parallel-SSHI, are compared in terms of their output power to find the best candidate for the real-time-footstep energy harvester. Experimental results show that the use of parallel-SSHI circuit interface produces 74% more power than the standard energy harvesting counterpart, while the use of series-SSHI circuit demonstrates a similar performance in comparison to the standard energy harvesting interface. The reasons for such a huge efficiency improvement using the parallel-SSHI interface are detailed in this article.


2019 ◽  
Vol 6 (11) ◽  
pp. 115511 ◽  
Author(s):  
S Indirani ◽  
Sridhar P Arjunan ◽  
Y Jeyashree ◽  
G Naga Sai Ram ◽  
B Manoj Krishna ◽  
...  

Author(s):  
Martin Amaro ◽  
Constantine Tarawneh ◽  
Heinrich Foltz ◽  
Roberto A. Garcia

Abstract Rail transportation plays an important role in today’s economy by delivering a large quantity of goods and passengers to various locations throughout North America in an economic and efficient manner. Bearing failure is one of the leading causes of derailments that result in significant capital loss and in extreme cases tragic human loss. The two widely used bearing health monitoring systems are the Trackside Acoustic Detection System (TADS™) and the wayside Hot-Box Detector (HBD). These systems are reactive in nature and only give alerts when the bearings are nearing failure. To supplant that, a prototype wireless onboard condition monitoring system was developed by researchers at the University Transportation Center for Railway Safety (UTCRS). This onboard wireless system can detect bearing defects at their early stages of initiation so that proactive maintenance actions can be taken by the railroads and railcar owners. Due to the wireless nature of this system, a constant power supply is needed to ensure its continued operation. Currently, the prototype wireless system utilizes low-power circuitry that is powered by a rechargeable AA battery that can provide up to two years of operation depending on usage. Implementation of a suitable energy harvesting device can significantly increase the longevity of the batteries used in the wireless module, and in ideal operating conditions, generate consistent energy rendering the battery as a temporary energy storage device. The proposed energy harvesting device consists of thermoelectric generators, aluminum heat sinks, a switching boost convertor, and a battery management chip. This device was tested on a dynamic bearing test rig to assess the performance of the thermoelectric generators. To best simulate field operation conditions, the thermoelectric generators were placed on opposite sides of the bearing adapter; one exposed to direct forced convection while the other side is shielded by the adapter and experiences minimal convection. Thermoelectric generators were found to be an effective solution due to their ability to convert a temperature gradient into a usable voltage sufficient to charge the battery. The buck booster converter increases the voltage from the thermoelectric generators to 5-volts so that the battery management chip can regulate the voltage and efficiently charge the battery. This paper summarizes the performance of the thermoelectric modules under different operating conditions. The main goal of this project is to devise an energy harvesting device that allows the wireless module to be self-powered utilizing the heat generated from the bearing and the charge held by the battery as a hybrid power source.


Small ◽  
2015 ◽  
Vol 11 (24) ◽  
pp. 2929-2937 ◽  
Author(s):  
Chih-Tao Chien ◽  
Pritesh Hiralal ◽  
Di-Yan Wang ◽  
I-Sheng Huang ◽  
Chia-Chun Chen ◽  
...  

2021 ◽  
Vol 267 ◽  
pp. 01039
Author(s):  
Daiyong Zhou ◽  
Yin Lin ◽  
Gaojian Ren ◽  
Yan Shao

Ventilation tunnel wind-induced vibration piezoelectric energy collection MFC as vibration energy in the ventilation tunnel and stores it in the energy storage device to provide the electrical energy required by the wireless sensor in the tunnel. According to the piezoelectric effect of piezoelectric materials, the instantaneous accumulated positive and negative charges generated at both ends of the piezoelectric vibrator at the instantaneous wind speed and wind vibration in the tunnel are collected. By establishing a piezoelectric energy collection model, the irregular transient charges are captured and stored as Available direct current. The piezoelectric energy harvesting model uses wind speed rotation as the traction force to drive the piezoelectric vibrator to vibrate, thereby converting wind energy into instantaneous electrical energy, and using the electrical energy harvesting device to store the electrical energy in the energy storage device. Experiments verify that when the wind-induced vibration piezoelectric energy collection model of the ventilation tunnel is at a wind speed of 8m/s, the maximum output voltage of the energy storage device is 42.2V, which can meet the power supply requirements of wireless sensors in the ventilation tunnel.


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