期刊
出版社
IEEE
关键词
<< Digital control; Hard switching; Genetic algorithm; Optimization method; Silicon Carbide (SiC); Simulation; Smart Gate Drivers >>.
资金
- Program on Open Innovation Platform with Enterprises, Research Institute and Academia (OPERA) of Japan Science and Technology Agency
- Cross-ministerial Strategic Innovation Promotion Program (SIP), Energy systems of an Internet of Energy (IoE) society(Funding agency: JST)
- JSPS KAKENHI [20H02151, 21J22448]
We present a simulation tool for optimizing the operation of digital active gate driver (DAGD) for SiC MOSFETs. By combining a Python-based program and SPICE simulation, the optimization tool offers optimized solutions with improved switching characteristics under a wide range of operating conditions. The study also analyzes the effects of different conditions on the obtained solutions.
We demonstrate a simulation tool to optimize the operation of the digital active gate driver (DAGD) for SiC MOSFETs. The binary nature of DAGD's operating principle makes the genetic algorithm a preferable method. The optimization tool is developed by combining a Python-based program and SPICE simulation. Optimized solutions exhibit improved switching characteristics in wide operating conditions. The effect of conditions on obtained solutions is also analyzed.
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