A Power Management System for Electromagnetic Energy Harvesters in Battery/Batteryless Applications

Shousha, Mahmoud; Dinulovic, Dragan; Haug, Martin; Petrovic, Tomislav; Mahgoub, Abdelmomen

doi:10.1109/jestpe.2019.2959738

Cited by 15 publications

(2 citation statements)

References 35 publications

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“…Integrated power management and conversion circuitry is a fundamental block in many emerging applications such as Internet of Things (IoT) systems [1,2] and wearable healthcare devices, which are usually powered by batteries and energy harvesters [3,4]. The power consumption of these devices needs to be minimized to prolong the battery lifetime and improve the usability in inaccessible environments, requiring highly efficient DC-DC converters.…”

Section: Introductionmentioning

confidence: 99%

Miller Plateau Corrected with Displacement Currents and Its Use in Analyzing the Switching Process and Switching Loss

et al. 2021

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This paper reveals the relationship between the Miller plateau voltage and the displacement currents through the gate–drain capacitance (CGD) and the drain–source capacitance (CDS) in the switching process of a power transistor. The corrected turn-on Miller plateau voltage and turn-off Miller plateau voltage are different even with a constant current load. Using the proposed new Miller plateau, the turn-on and turn-off sequences can be more accurately analyzed, and the switching power loss can be more accurately predicted accordingly. Switching loss models based on the new Miller plateau have also been proposed. The experimental test result of the power MOSFET (NCE2030K) verified the relationship between the Miller plateau voltage and the displacement currents through CGD and CDS. A carefully designed verification test bench featuring a power MOSFET written in Verilog-A proved the prediction accuracy of the switching waveform and switching loss with the new proposed Miller plateau. The average relative error of the loss model using the new plateau is reduced to 1/2∼1/4 of the average relative error of the loss model using the old plateau; the proposed loss model using the new plateau, which also takes the gate current’s variation into account, further reduces the error to around 5%.

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Section: Introductionmentioning

confidence: 99%

Miller Plateau Corrected with Displacement Currents and Its Use in Analyzing the Switching Process and Switching Loss

et al. 2021

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“…The performance of a harvester therefore depends not only on the generation but also on the conversion. Of course, the optimization of conversion is affected by many parameters such as the type and size of load, conversion circuit, the situation that the harvester is working [8,9]. As for the generation side, the induced voltage is determined by the structure of the harvester, the magnetization pattern, and the arrangement of the coil with respect to the PM array.…”

Section: Introductionmentioning

confidence: 99%

Topology Selection and Parametric Design of Electromagnetic Vibration Energy Harvesters by Combining FEA-in-the-Loop and Analytical Approaches

2020

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Electromagnetic energy harvesters have been used to capture low-frequency vibration energy of large machines such as diesel generators. The structure of an electromagnetic energy harvester is either planar or tubular. Past research efforts focus on optimally designing each structure separately. An objective comparison between the two structures is necessary in order to decide which structure is advantageous. When comparing the structures, the design variations such as magnetization patterns and the use of yokes must also be considered. In this study, extensive comparisons are made covering all possible topologies of an electromagnetic energy harvester. A bench mark harvester is defined and the parameters that produce maximum output power are identified for each topology. It is found that the tubular harvesters generally produce larger output power than the planar counterparts. The largest output power is generated by the tubular harvester with a Halbach magnetization pattern (94.7 mW). The second best is the tubular harvester with axial magnetization pattern (79.1 mW) when moving yokes are inserted between permanent magnets for flux concentration. When cost is of primary concern, the tubular harvester with axial pattern may become a best option.

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A Coil Connection Switching Strategy for Maximum Power Delivery in Electromagnetic Vibration Energy Harvesting System

Xiao

Peng

Yuan

2021

2021 IEEE Energy Conversion Congress and Exposition (ECCE)

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A Power Management System for Electromagnetic Energy Harvesters in Battery/Batteryless Applications

Cited by 15 publications

References 35 publications

Miller Plateau Corrected with Displacement Currents and Its Use in Analyzing the Switching Process and Switching Loss

Miller Plateau Corrected with Displacement Currents and Its Use in Analyzing the Switching Process and Switching Loss

Topology Selection and Parametric Design of Electromagnetic Vibration Energy Harvesters by Combining FEA-in-the-Loop and Analytical Approaches

A Coil Connection Switching Strategy for Maximum Power Delivery in Electromagnetic Vibration Energy Harvesting System

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