Effects of Low Pressure Condition on Partial Discharges in WBG Power Electronics Modules

TL;DR

This paper investigates how low pressure conditions and fast voltage rise times influence partial discharges in WBG power modules, highlighting increased PD intensity under such conditions relevant for aerospace applications.

Contribution

It introduces a combined analysis of low pressure and fast rise time effects on partial discharges in WBG modules, supported by simulations and literature data.

Findings

Lower pressures lead to more intense partial discharges.

Fast rise times increase PD magnitude and occurrence.

Simulation results align with experimental literature data.

Abstract

The aviation industry aims to reduce CO2 emission by reducing energy consumption and benefitting from more electrical systems than those based on fossil fuels. The more electric aircraft (MEA) can take advantage of the drives based on wide bandgap (WBG) based power modules that are lighter and can bear higher voltages and currents. However, the fast-rise and repetitive voltage pulses generated by WBG-based systems can endanger the insulating property of dielectric materials due to the partial discharges. PDs cause the local breakdown of insulation materials in regions with high electric field magnitude. In the case of power electronic modules, silicone gel, which is a predominant type of encapsulation material, is susceptible to these PDs. In this study, it is aimed to investigate the impact of rise time on various PD characteristics including PD true charge magnitude, inception and extinction fields, duration, and so forth. Besides, those systems that are anticipated to operate under harsh environmental conditions such as naval or aviation industries, may expect additional threat. Therefore, this paper puts forth the combination of low pressure conditions and fast rise, high frequency square wave pulses. The results demonstrate that more intense and more intense ones are going to be imposed at lower pressures. COMSOL Multiphysics interfaced with MATLAB is used to simulate the PD detection process based on the experimental data found in the literature.