Evaluation of Converter Performance Considering Static and Dynamic Device Part-to-Part Variability

Gill, Lee; Smith, Michael; Yates, Luke; Seo, Gab-Su; Michaels, Alan J.

doi:10.1109/DMC62632.2024.10812119

Evaluation of Converter Performance Considering Static and Dynamic Device Part-to-Part Variability

Conference · Mon Dec 30 04:00:00 EST 2024

DOI:https://doi.org/10.1109/DMC62632.2024.10812119· OSTI ID:2526559

Gill, Lee; Smith, Michael; Yates, Luke; Seo, Gab-Su; Michaels, Alan J.

This paper presents a methodology to incorporate and analyze the impact of semiconductor device part-to-part variation on power converter performance. By integrating extensive static and dynamic device characterization data with an automated compact model generation process that reflects manufacturing variability, device models with inherent variability features are utilized in converter simulations for a comprehensive assessment of performance impacts. The traditional converter performance evaluation process typically yields fixed efficiency values, often dismissing the inherent part-to-part variability caused by the manufacturing process of semiconductor devices. To address this limitation, a large population of devices was characterized to capture variations in static parameters-such as transfer, output, and capacitance characteristics-as well as dynamic behaviors, including switching losses. This data-driven approach enables the development of individual compact models, which were then integrated into converter simulations to evaluate efficiency ranges rather than single point estimated values. The converter simulation results show that part-to-part component variation can lead to significant efficiency deviations, exceeding several percentage points in high-power conversion applications. By offering a more accurate representation of converter behavior under real-world manufacturing conditions, this methodology enables designers to anticipate performance variability, improving the robustness of power converter designs.

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Research Organization:: National Renewable Energy Laboratory (NREL), Golden, CO (United States)

Sponsoring Organization:: USDOE Grid Modernization Laboratory Consortium (GMLC)

DOE Contract Number:: AC36-08GO28308

OSTI ID:: 2526559

Report Number(s):: NREL/CP-5D00-93590; MainId:95372; UUID:a223c779-45d8-4e5d-ba12-8ed9111b0529; MainAdminId:76254

Country of Publication:: United States

Language:: English

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Related Subjects

ENERGY CONSERVATION, CONSUMPTION, AND UTILIZATION,MATHEMATICS AND COMPUTING,POWER TRANSMISSION AND DISTRIBUTION
device characterization
manufacturing
modeling
part-to-part variation
performance analysis
variability

Evaluation of Converter Performance Considering Static and Dynamic Device Part-to-Part Variability

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References (24)

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