Comparative analysis of BSS-IBC, SW-PWM IBC and IBI-SW high efficiency converters

The proposed work contributes to enhance the efficiency of DC-DC Boost Converter in high current and high power applications. The main objective of the research is given as follows. To improve the efficiency of DC-DC converter in high power application, a Bayes Soft Switching Interleaved Boost Converter (BSS-IBC) framework is designed. To identify the required number of parameters such as power, voltage and current ripple in the secondary layer soft switching, Naive Bayes classifiers are used in proposed BSS-IBC framework. To minimize the converter switching time and improve the output voltage and current, an integrated framework of Sliding Window and Pulse Width Modulation (SW-PWM) is developed. The integrated inter leavened and sliding windows (IBI-SW) based PWM strategy is developed for the development of the effective DC-DC boost converter in a high-performance application. The incorporation of a MPPT algorithm is given in architecture, to minimize switching noise and switching time.