@misc{d9bc621ef6914182b86591bf62663e47,
title = "Power Module Precursors and Prognostics",
abstract = "This project focuses on finding and utilizing electrical properties (precursors) of power electronic devices and modules whose changes have strong correlations with different modes and levels of degradations in order to realize online and lightweight state of health evaluation and fault diagnosis. Results from this project will contribute to higher safety, reliability, and power density of power electronic components. The approaches mainly include reviewing academic literature and industry practices for state of the art precursor identification and extraction, accelerated life cycles (ALC) of various power modules to create different degradations in-house, and developing techniques for gate-driver-integratable precursor detection circuit. In FY24, the results includes two sets of definitively detected aging precursors (on-state resistance and gate threshold voltage) for two sets of power modules respectively, controlled accelerated lifetime cycling of multiple silicon carbide (SiC) metal-oxide-semiconductor field-effect transistor (MOSFET) modules, and the development and validation of a gate voltage detection system.",
keywords = "aging, diagnostics, power electronics, power module, precursor, silicon carbide",
author = "Faisal Khan and Shuofeng Zhao",
year = "2024",
language = "American English",
series = "Presented at the U.S. Department of Energy (DOE) Vehicle Technologies Office (VTO) 2024 Annual Merit Review, 3-6 June 2024, Arlington, Virginia",
publisher = "National Renewable Energy Laboratory (NREL)",
address = "United States",
type = "Other",
}