Comparative Case Study on the Self-Powered Synchronous Switching Harvesting Circuits With BJT or MOSFET Switches

Liu, Weiqun; Badel, Adrien; Formosa, Fabien; Zhao, Caiyou; Zhu, Qiao; Hu, Guangdi

doi:10.1109/tpel.2018.2790965

Cited by 18 publications

(9 citation statements)

References 34 publications

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“…This mitigation technique is based on the operation of two MOSFETs to enable/restrain the BJT transistor automatically. In addition, an antiparallel Schottky diode can also be used to regulate the BJT transistor under critical partial shading conditions [84,85]. The main limitation of these mitigation concepts is that Another concept, shown in Figure 12b, is the bipolar junction transistor (BJT)-based bypass, introduced by d'Alessandro et al [83].…”

Section: Pv Hotspot Mitigation Techniquesmentioning

confidence: 99%

A Review of Models for Photovoltaic Crack and Hotspot Prediction

2022

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The accurate prediction of the performance output of photovoltaic (PV) installations is becoming ever more prominent. Its success can provide a considerable economic benefit, which can be adopted in maintenance, installation, and when calculating levelized cost. However, modelling the long-term performance output of PV modules is quite complex, particularly because multiple factors are involved. This article investigates the available literature relevant to the modelling of PV module performance drop and failure. A particular focus is placed on cracks and hotspots, as these are deemed to be the most influential. Thus, the key aspects affecting the accuracy of performance simulations were identified and the perceived relevant gaps in the literature were outlined. One of the findings demonstrates that microcrack position, orientation, and the severity of a microcrack determines its impact on the PV cell’s performance. Therefore, this aspect needs to be categorized and considered accordingly, for achieving accurate predictions. Additionally, it has been identified that physical modelling of microcracks is currently a considerable challenge that can provide beneficial results if executed appropriately. As a result, suggestions have been made towards achieving this, through the use of methods and software such as XFEM and Griddler.

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Section: Pv Hotspot Mitigation Techniquesmentioning

confidence: 99%

A Review of Models for Photovoltaic Crack and Hotspot Prediction

2022

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“…They replaced all the components of the controller with equivalent impedance elements and discussed switching delays based on linear analysis. Liu et al (2018b) compared the performances of two self-powered harvesters equipped with different switch devices. The switch device consisted of a bipolar junction transistor in one harvester and a metal-oxide semiconductor field effect transistor in the other.…”

Section: Background Of Electronic Interfaces For Piezoelectric Energymentioning

confidence: 99%

Self-sensing state estimation of switch-controlled energy harvesters

Hara

Yamamoto

Makihara

2020

Journal of Intelligent Material Systems and Structures

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Vibration energy harvesters are expected to become a new source of electrical power. Piezoelectric vibration energy harvesters that employ a piezoelectric transducer, a rectifier, and a storage capacitor are being used widely as electro-mechanical harvesters. Synchronized switch harvesting on inductor enhances harvesting performance due to employing a simple additional circuit and incorporating suitable switch control functionality. Switching is usually based on the displacement of a vibrating structure; hence, sensing the vibrational states is of critical importance. Conventionally, the structural displacement is measured by displacement sensors or accelerometers attached to the target vibrating structure. Although enhancement of performance through synchronized switch harvesting on inductor equipped with sensors is important, the arrangement requirements of sensors have adverse effects on the compactness and usability of the harvesters. This study aimed to eliminate the use of sensors from switch-controlled harvesters. We developed a new state estimation method that uses the piezoelectric transducer’s voltage as an observation value. Using the proposed state estimation method, the modal state values of the vibrating structure can be determined by simply measuring the voltage of the transducer. With the switch device being controlled by the estimated modal state values, no sensors are required for ensuring effective harvesting. A comparison of the harvesting performances by the proposed self-sensing state estimation method and the conventional sensor-equipped state estimation method showed that there is little difference in harvested power between the two methods over a wide range of load resistances. The proposed method is superior to the sensor-equipped method in terms of compactness and usability as it does not require any external sensors.

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“…The types of switches are divided into electronic switches and mechanical switches [ 30 , 31 , 32 , 33 ]. According to the circuit of the control switch, electronic switches can be divided into a self-power supply [ 34 , 35 , 36 , 37 , 38 ] and an external power supply [ 39 , 40 ]. In practical application, it is inconvenient that an external power supply is required for the external power supply.…”

Section: Introductionmentioning

confidence: 99%

Comparison of Four Electrical Interfacing Circuits in Frequency Up-Conversion Piezoelectric Energy Harvesting

Chen

Tang

et al. 2022

Micromachines

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Efficiently scavenging piezoelectric vibration energy is attracting a lot of interest. One important type is the frequency up-conversion (FUC) energy harvester, in which a low-frequency beam (LFB) impacts a high-frequency beam (HFB). In this paper, four interface circuits, standard energy harvesting (SEH), self-powered synchronous electric charge extraction (SP-SECE), self-powered synchronized switch harvesting on inductor (SP-SSHI) and self-powered optimized SECE (SP-OSECE), are compared while rectifying the generated piezoelectric voltage. The efficiencies of the four circuits are firstly tested at constant displacement and further analyzed. Furthermore, the harvested power under FUC is tested for different electromechanical couplings and different load values. The results show that SP-OSECE performs best in the case of a weak coupling or low-load resistance, for which the maximum power can be 43% higher than that of SEH. As the coupling level increases, SP-SSHI becomes the most efficient circuit with a 31% higher maximum power compared to that of SEH. The reasons for the variations in each circuit with different coupling coefficients are also analyzed.

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Comparative Case Study on the Self-Powered Synchronous Switching Harvesting Circuits With BJT or MOSFET Switches

Cited by 18 publications

References 34 publications

A Review of Models for Photovoltaic Crack and Hotspot Prediction

A Review of Models for Photovoltaic Crack and Hotspot Prediction

Self-sensing state estimation of switch-controlled energy harvesters

Comparison of Four Electrical Interfacing Circuits in Frequency Up-Conversion Piezoelectric Energy Harvesting

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