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This research focuses on the development of a high-efficiency power converter for Electric
Vehicle (EV) charging stations, aiming to address critical challenges in energy conversion,
charging speed, and operational costs. As electric vehicles gain widespread adoption, the
demand for efficient and reliable charging infrastructure is growing. Power converters play a
pivotal role in these stations by converting AC from the grid to DC for battery charging.
However, existing systems face limitations such as energy losses, prolonged charging times,
and high operating costs. This study explores advanced power electronics technologies to
improve converter efficiency, thermal management, and cost-effectiveness, particularly by
incorporating SiC MOSFETs and resonant DC-DC converter topologies. Through simulations
and prototype testing, the proposed converter achieved a 96.4% efficiency at full load,
significantly surpassing conventional systems. The results showed reductions in charging time,
with a full charge completed in 2.14 hours, and thermal management improvements using a
passive cooling system. The converter’s compact design and cost-effective operation suggest
its suitability for high-demand EV charging applications. This study contributes to the growing
body of work aimed at improving EV infrastructure, positioning high-efficiency power
converters as a key component for sustainable and scalable electric vehicle adoption.
Keywords:
High-efficiency power converter, Electric Vehicle (EV) charging, AC-DC converter, SiC MOSFET, resonant DC-DC converter, thermal management.
Cite Article:
"Development of a High-Efficiency Power Converter for Electric Vehicle Charging Stations", International Journal for Research Trends and Innovation (www.ijrti.org), ISSN:2455-2631, Vol.10, Issue 7, page no.a20-a34, July-2025, Available :http://www.ijrti.org/papers/IJRTI2507005.pdf
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ISSN:
2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator