MPPT integrated DC–DC boost converter for RF energy harvester

Oh, Taeho; Parvin, Dilruba; Hassan, Omiya; Shamsir, Samira; Islam, Syed K.

doi:10.1049/iet-cds.2019.0509

Cited by 9 publications

(6 citation statements)

References 13 publications

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“…The choice of the converter depends on the voltage values

of the rectifier and the supply voltage of the used storage device. When harvesting RF energy, the boost converter shown in Figure 18 is commonly used [ 76 ]. A PMOS transistor switches and inductor

to provide a stable and regulated output DC voltage.…”

Section: Rectenna Design Issuesmentioning

confidence: 99%

Radiofrequency Energy Harvesting Systems for Internet of Things Applications: A Comprehensive Overview of Design Issues

Mouapi

2022

Sensors

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Radiofrequency energy harvesting (RF-EH) solutions have evolved significantly in recent years due to the ubiquity of electromagnetic waves in any environment. This review presents a comprehensive report on autonomous wireless sensor (WS) design considerations based on RF-EH. The obtainability of RF-EH-WS is driven by development efforts in the areas of RF-EH circuit design, known as rectifying antenna (Rectenna), the minimization of the energy budget of WS (MEB-WS), and finally, power management modules (PMM). The PMM aims to optimize the energy efficiency of the WS. In addition to these three factors, examining the RF power levels harvested related to the rectenna feeding technique (RFT) is essential. Since we did not find any review presenting a holistic view of these design considerations, we strived to provide a detailed picture of recent advances and new enhancements in this review. To address this issue, this review gives an overview of the seminal and contemporary studies in the RF-EH-WS field. The IoT issues are also discussed in terms of their basic requirement to support reduced size or miniaturized smart objects, which are common matters in current applications of WS nodes. Potential open issues that might be considered for future research are also discussed in this article. For a more detailed description of all presented concepts, many significant references are provided for the readers.

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“…The choice of the converter depends on the voltage values

of the rectifier and the supply voltage of the used storage device. When harvesting RF energy, the boost converter shown in Figure 18 is commonly used [ 76 ]. A PMOS transistor switches and inductor

to provide a stable and regulated output DC voltage.…”

Section: Rectenna Design Issuesmentioning

confidence: 99%

Radiofrequency Energy Harvesting Systems for Internet of Things Applications: A Comprehensive Overview of Design Issues

Mouapi

2022

Sensors

View full text Add to dashboard Cite

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“…where C e is the constant of electromotive force, Ф is the magnetic flux, n is the speed of the dc-motor, and C T is the constant of the torque. The mathematical model of the dc-motor can be shown as Equation (4). The mechanical equation is shown in Equation (5).…”

Section: Lecturesmentioning

confidence: 99%

“…The course of Power Electronics is a specialized course for electrical engineering students, mainly studying technology of electric energy conversion [1][2][3][4]. The course contains ac-dc converter technology, dc-ac converter technology, dc-dc converter technology and ac-ac converter technology.…”

Section: Introductionmentioning

confidence: 99%

Research on teaching effect of power electronics experiment simulating engineering application system

Zhao

2022

IET Power Electronics

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To enable students to establish the basic concept of engineering applications, this paper presents the experimental content simulating engineering application systems in the course of Power Electronics Experiment. Through the realization of each step of the experiment, students can complete the system level experiment closed to the engineering application. Taking the dc-motor speed control system as an example, this paper allows students to realize a simple open-loop speed control system, and answer questions related to practical engineering applications. Then, students apply the double-closed-loop speed control system simulating the engineering application to do the experiment, and answer questions again. By comparing the speed control performance of the motor, students can master how to control the dc-motor accurately and stably. By comparing the correct rate of questions, it can be seen that the experiment simulating engineering application systems can obtain a higher correct rate of answering questions. The proposed teaching method makes students understand how to realize a stable and reliable engineering system, and establish a project concept of the power electronic application. Through the questionnaire survey of students, it can be obtained that the experiment simulating engineering application systems improves the experimental effect on understanding the composition and the working principle of the power electronic application systems.

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“…where, D is the duty cycle of the converter. At first, data is collected from the RF energy harvesting system [32]. An optimal ML model is developed and trained by using the collected data.…”

Section: Machine Learning Based Maximum Power Point Trackingmentioning

confidence: 99%

“….32 demonstrates the design steps followed to develop the proposed ML based MPPT controller. At first, data is collected from the RF energy harvesting system[32]. An optimal ML…”

mentioning

confidence: 99%

Design of low-power RF energy harvester for IoT sensors

Parvin¹

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Rapid technological advancement in CMOS technologies has resulted in increased deployment of low-power Internet-of-Things (IoT) devices. As batteries, used to power-up these devices, suffer from limited lifespan, powering up numerous devices have become a major concern. Radio frequency (RF) is ubiquitous in the surroundings from which energy can be harvested and utilized to increase battery lifetime. Even for low-power sensors, RF energy harvesters can be utilized as primary power sources. However, power density of RF signals is very low and therefore building blocks of RF energy harvester need to be designed carefully to maximize efficiency to gain suitable output power. This research is focused on the design of an RF energy harvesting system in standard CMOS technology. The main goal of this research is to design an RF energy harvesting system with high power conversion efficiency (PCE) and adequate output voltage for low input power. The proposed dynamic voltage compensated cross-coupled fully differential rectifier is capable of providing very high PCE. The synchronous DC-DC boost converter provides stable DC output voltage. Rectifier and DC-DC converter of the system have been designed by using low-power transistors to ensure operation at very low input power. In order to maximize the power transfer through the system, matching network and maximum power point tracking (MPPT) controller has been implemented. In order to cope with rapid input power variation, a machine learning (ML) based MPPT controller has been designed and implemented into FPGA. The proposed ML based MPPT controller has demonstrated fast response time. To further enhance the performance of the RF energy harvesting system, a self-compensated rectifier integrated energy harvesting system is also presented. The energy extracted by using the proposed RF energy harvesting systems can easily be stored and utilized to fully power up low-power sensors used for IoT devices. Integration of RF energy harvester with these devices will significantly reduce the maintenance cost and result in energy-effluent IoT technologies.

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MPPT integrated DC–DC boost converter for RF energy harvester

Cited by 9 publications

References 13 publications

Radiofrequency Energy Harvesting Systems for Internet of Things Applications: A Comprehensive Overview of Design Issues

Radiofrequency Energy Harvesting Systems for Internet of Things Applications: A Comprehensive Overview of Design Issues

Research on teaching effect of power electronics experiment simulating engineering application system

Design of low-power RF energy harvester for IoT sensors

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