A time to failure evaluation of AlGaN/GaN HEMT transistors for RF applications

Latry, Olivier; Moultif, Niemat; Joubert, Eric; Ndiaye, Mohamed

doi:10.1016/j.prime.2022.100062

Cited by 2 publications

(1 citation statement)

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“…For the RWPT system, we need a resonant power supply signal in MHz, which requires a structure of HF switching. The second part of this article shows the topology of the HF resonant inverter, Class-E, which has been developed thanks to of GaN transistors [32][33][34][35] characterized by fast switching and low conduction resistance (R cin ). This technology allows generation of HF-VHF-UHF signals, with less switching losses and high efficiency (between 89% and >97%) for a fixed distance, compared to other topologies.…”

Section: Introductionmentioning

confidence: 99%

Photovoltaic Class‐E Inverter for Resonance Wireless Power Transfer for Electric Vehicle Charging Applications with Optimization Algorithms

et al. 2023

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A wireless power transfer (WPT) station supplied by an array of solar panels is presented, where solar energy comes from an array of panels with 120 V voltage and 3 A current. It is subjected to maximum power point tracking algorithm optimization on a boost converter, where the duty cycle of the converter is adjusted with an interval chosen between [0.2, 0.8], which is used to iteratively compare between the input and output signals in order to have a maximum power at the output. After regulating the panel array signal through the boost converter, the signal is transferred to an additional middle stage whose role is to raise the frequency until it reaches the resonance frequency of the WPT charger. The device responsible for this task is an inverter based on a class‐E inverter architecture and a GaN transistor technology. The inverter is controlled by a DSP card in a hard‐switch mode and delivers the output signal with a frequency of 10 Mhz, which is the resonance frequency of spiral coils of wireless chargers. Herein, the signal nature can be seen at the terminal of a fixed load with signal optimization through the MPPT algorithm and the HF inverter control mode.

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Section: Introductionmentioning

confidence: 99%