Е-Публикации
Технически университет - София

Abstract: This article presents a comprehensive study on the reliability of a buck DC-DC converter topology, focusing on its mathematical modelling and reliability assessment methods. The study introduces various approaches for evaluating converter reliability, including mean time between failures (MTBF), failure mode analysis (FMEA), and thermal analysis. A detailed simulation using Python is employed to evaluate the failure probabilities of the converter's components. The article compares the reliability of different methodologies and discusses the impact of component selection, operating frequency, and environmental factors such as temperature and humidity on the system's long-term performance. The results highlight the significant role of high efficiency and optimal component selection in enhancing the reliability of buck DC-DC converters. This study provides valuable insights for improving the design and operation of converters in critical applications, including renewable energy systems and electric vehicle charging stations.

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