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@article{169124,
author = {PIKKI RAMU and Prof P Mallikarjuna Rao and D.Rajesh},
title = {HIGH POWER DC-DC CONVERTER DESIGN AND DYNAMIC CONTROL USING ANN METHODOLOGY},
journal = {International Journal of Innovative Research in Technology},
year = {2024},
volume = {11},
number = {6},
pages = {359-364},
issn = {2349-6002},
url = {https://ijirt.org/article?manuscript=169124},
abstract = {The project thoroughly discusses efficiency-oriented design considerations based on the operation-mode analysis of the LLC converter, taking into account the characteristics of charging profiles. The precise time-domain model provides mode boundaries and distribution. The design constraints for achieving soft switching with the load varying from zero up to the maximum are clearly outlined. Additionally, a charging trajectory design methodology is proposed and rigorously validated through experiments, demonstrating a peak efficiency of 97% when converting 600 V from the DC power source to the battery emulator in the range of 400–500 V at 15kW.},
keywords = {Battery charger, DC-DC converter, Multi-resonant converter, capacitor, inductor, transformer, diodes, MOSFETs, neural network.},
month = {November},
}
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