학술논문

Investigation Into Active Gate-Driving Timing Resolution and Complexity Requirements for a 1200 V 400 A Silicon Carbide Half Bridge Module
Document Type
Periodical
Source
IEEE Open Journal of Power Electronics IEEE Open J. Power Electron. Power Electronics, IEEE Open Journal of. 4:161-175 2023
Subject
Components, Circuits, Devices and Systems
Power, Energy and Industry Applications
Logic gates
Switches
Silicon carbide
Complexity theory
Transient analysis
Timing
Topology
Active gate driving
AGD
Silicon Carbide
SiC
EMI reduction
timing resolution
signal complexity
half bridge module
genetic algorithm
Language
ISSN
2644-1314
Abstract
Silicon Carbide MOSFETs have lower switching losses when compared to similarly rated Silicon IGBT, but exhibit faster switching edges, larger overshoots and increased oscillatory switching behaviour, resulting in greater electro-magnetic interference (EMI) generation. Active Gate Drivers (AGD) can help mitigate these issues while maintaining low switching losses. Numerous AGD topologies have been presented with varying capabilities in terms of timing resolution and output stage complexity. This paper presents an experimental investigation into the influence these capabilities have on the switching performance of an AGD driven high current module, with the goal of advising future AGD designers on the performance trade-offs between signal resolution and complexity. A 2.5 ns resolution 6-level AGD was utilised in combination with parameter sweeps and a genetic algorithm to determine gate voltage patterns that provided improved switching performance. Results indicate that higher resolution (2.5–5 ns) provided the greatest improvements in switching performance, even utilising the simplest considered gate driving patterns, with the use of more complex patterns offering minimal additional improvements. However, at lower timing resolutions (10–40 ns) a stronger set-point dependence degradation in switching performance is observed when using simpler gate patterns, which can be mitigated by utilising more complex patterns.