turhancan97/LLC-Resonant-Converter-and-Battery-Charge-Discharge-Regression-Model
Turhan Can Kargın BACHELOR OF SCIENCE GRADUATION PROJECT
This project helps power electronics engineers and system designers optimize LLC resonant DC-DC converters for UPS battery charging applications. It takes parameters like input/output voltage and current, and produces an optimal design procedure for high power efficiency and reduced switching losses. Additionally, it models battery charge/discharge behavior using machine learning from electrical energy consumption, status, and temperature data, providing insights into battery performance.
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Use this if you are designing a high-efficiency DC-DC converter for UPS systems and need to optimize the LLC resonant converter while also understanding battery charge and discharge characteristics.
Not ideal if your primary goal is general-purpose battery modeling for consumer electronics or if you require an off-the-shelf solution without custom design optimization.
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Language
Python
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Last pushed
Feb 27, 2021
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