SQY2021/Estimation_IEEE-TIE
Parameter Estimation of DAB Converter Using Intelligent Algorithms and Steady-State Modeling Considering Nonidealities (IEEE Transactions on Industrial Electronics (*IEEE TIE*))
This project offers a fast, low-cost way for power electronics engineers to understand, optimize, and monitor Dual Active Bridge (DAB) converters. It takes in operational data, accounting for real-world nonidealities like dead time and parasitic resistances, and outputs highly accurate estimates and predictions of critical circuit and control parameters. This allows for better health diagnosis and preventive maintenance of DAB converters.
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Use this if you need to accurately estimate and predict DAB converter parameters for health diagnosis or performance optimization without extensive, costly experimental setups.
Not ideal if you are working with ideal circuit models that ignore practical nonidealities and parasitic effects.
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MATLAB
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Last pushed
May 09, 2024
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