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Steady-State Analysis of Class-E/Fn Inverter with MOSFET Nonlinear Output Capacitance at any Grading Coefficient (2023)
Journal Article
Lotfi, A., Shahbazi, M., Issa, W., Wheeler, P., Sekiya, H., Kazimierczuk, M. K., & Blaabjerg, F. (2023). Steady-State Analysis of Class-E/Fn Inverter with MOSFET Nonlinear Output Capacitance at any Grading Coefficient. IEEE Access, https://doi.org/10.1109/access.2023.3309295

In this paper, the analysis and design of a class-E/F n inverter using analytically expressions is provided for any grading coefficient m of the MOSFET body junction diode at 50% duty ratio. Generally, the class-E zero-voltage switching (ZVS) and zer... Read More about Steady-State Analysis of Class-E/Fn Inverter with MOSFET Nonlinear Output Capacitance at any Grading Coefficient.

A Reliability-Optimized Maximum Power Point Tracking Algorithm Utilizing Neural Networks for Long-Term Lifetime Prediction for Photovoltaic Power Converters (2023)
Journal Article
Shahbazi, M., Smith, N. A., Marzband, M., & Habib, H. U. R. (2023). A Reliability-Optimized Maximum Power Point Tracking Algorithm Utilizing Neural Networks for Long-Term Lifetime Prediction for Photovoltaic Power Converters. Energies, 16(16), Article 6071. https://doi.org/10.3390/en16166071

The reliability of power converters in photovoltaic systems is critical to the overall system reliability. This paper proposes a novel active thermal-controlled algorithm that aims to reduce the rate of junction temperature increase, therefore, incre... Read More about A Reliability-Optimized Maximum Power Point Tracking Algorithm Utilizing Neural Networks for Long-Term Lifetime Prediction for Photovoltaic Power Converters.