HIGH CURRENT DENSITY DC-DC CONVERTER WITH MODIFIED FUZZY LOGIC CONTROL FOR EV CHARGING

Authors

  • MR.S.ASHOK REDDY Author
  • M.POORNACHANDRIKA Author
  • P.SRUJANA Author
  • P.VIVEK Author
  • B.NAGASAIMANIKANTA Author

DOI:

https://doi.org/10.62643/

Keywords:

Buck, lithium-ion battery charger, electric vehicle battery charger, ac-dc converter, isolated ac-dc converter, power factor correction, MOSFET power loss estimation, MOSFET thermal analysis, modified PI controller, state-space representation of converter

Abstract

Electric vehicles (EVs) are getting more popular in automobiles due to environmental factors. Since electric vehicles manage their power from the rechargeable battery, therefore, it’s essential to have a reliable, efficient, and economical battery charger to provide stable required output for the specified EV’s battery. In this paper, a DC-DC converter with a modified PI controller has been presented which helps to achieve the required output voltage and high current density with negligible overshoot for the specified lithium-ion battery system to minimize the charging time. Apart from minimizing the power loss of the active switches, the proposed system minimizes the junction temperature eventually improving the life cycle of the converter. The analysis of the proposed converter is performed both in ideal and non-ideal conditions. The power loss of the active switches and the junction temperature have also been analyzed. An effective and economical dc and ac side inductors have been designed and analyzed the performance of total power loss and temperature rise. The results show that the proposed converter can maintain a power factor around 90% and a total harmonic distortion around 0.46%, which is ideal for the high-density load current. The reliability of the dc-dc converter is also evaluated. A hardware prototype has also been implemented to confirm its viability for EV battery charging applications.

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Published

21-03-2025

How to Cite

HIGH CURRENT DENSITY DC-DC CONVERTER WITH MODIFIED FUZZY LOGIC CONTROL FOR EV CHARGING. (2025). International Journal of Engineering Research and Science & Technology, 21(1), 456-470. https://doi.org/10.62643/