Date of Graduation
5-2019
Document Type
Thesis
Degree Name
Master of Science in Electrical Engineering (MSEE)
Degree Level
Graduate
Department
Electrical Engineering
Advisor/Mentor
Balda, Juan C.
Committee Member
McCann, Roy A.
Second Committee Member
Zhao, Yue
Third Committee Member
Ang, Simon S.
Keywords
gate signal modeling; die-to-die interactions; miller clamp; parameter variance; parasitic inductance; power packaging; SiC power module
Abstract
The main objective of this effort is to determine points of weakness in the gate network of a high-performance SiC power module and to offer remedies to these issues to increase the overall performance, robustness, and reliability of the technology. In order to accomplish this goal, a highly accurate model of the gate network is developed through three methods of parameter extraction: calculation, simulation, and measurement. A SPICE model of the gate network is developed to analyze four electrical issues in a high-speed, SiC-based power module including the necessary internal gate resistance for damping under-voltage and over-voltage transients, the disparity in switching loss between paralleled devices due to propagation delay, a high-frequency oscillatory behavior on gate voltage due to die-to-die interactions, and current equalization in the kelvin-source signal path. In addition, the analysis of parameter variance between paralleled MOSFETs and the effects of mismatched threshold voltage and on-state resistance on switching loss and junction temperature are investigated. Finally, three Miller Clamp topologies are simulated and assessed for effectiveness culminating in a solution for parasitic turn-on in high dv/dt systems such as those utilizing high-performance SiC power modules.
Citation
Curbow, W. A. (2019). Model Development and Assessment of the Gate Network in a High-Performance SiC Power Module. Graduate Theses and Dissertations Retrieved from https://scholarworks.uark.edu/etd/3189
Included in
Electronic Devices and Semiconductor Manufacturing Commons, OS and Networks Commons, Power and Energy Commons, VLSI and Circuits, Embedded and Hardware Systems Commons