High-efficiency EV charging system using Zeta-Cuk converter with optimized MPPT and power management

Due to the growing demand for efficient and sustainable energy solutions for Electric Vehicles (EVs) powered by Brushless DC (BLDC) ‎motors, this work presents a high-efficiency EV charging system that integrates renewable energy through a high-gain Zeta-Cuk converter ‎and advanced power management. The converter boosts the low voltage from photovoltaic (PV) panels to a high DC bus level, ensuring ‎efficient energy transfer. To maximize power extraction an optimized Maximum Power Point Tracking (MPPT) method, combining the Ant ‎Lion Optimization (ALO) algorithm with an Adaptive Neuro-Fuzzy Inference System (ANFIS), is used. A storage battery and grid ‎connection are incorporated to manage surplus energy during periods of excess PV generation. Power flow between the grid, battery and ‎BLDC motor is coordinated via a bidirectional DC-DC converter controlled by a Proportional-Integral (PI) controller. The system is ‎validated through MATLAB/Simulink simulations, demonstrating a high conversion efficiency of 96.69% and a tracking efficiency of ‎‎99.21%, confirming its potential as a practical and eco-friendly solution for sustainable transportation‎.

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Publication Details

Journal
International Journal of Basic and Applied Sciences
Published
2025-05-23
DOI
https://doi.org/10.14419/q8mswr85
Primary Topic
Advanced DC-DC Converters
Type
article
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article

High-efficiency EV charging system using Zeta-Cuk converter with optimized MPPT and power management

D. Karthikeyan, Jimoh Olajide Raji, Sujatha Balaraman, J. Viswanatha Rao
International Journal of Basic and Applied Sciences
Advanced DC-DC Converters
article

High-efficiency EV charging system using Zeta-Cuk converter with optimized MPPT and power management

D. Karthikeyan, Jimoh Olajide Raji, Sujatha Balaraman, J. Viswanatha Rao
article en

Abstract

Due to the growing demand for efficient and sustainable energy solutions for Electric Vehicles (EVs) powered by Brushless DC (BLDC) ‎motors, this work presents a high-efficiency EV charging system that integrates renewable energy through a high-gain Zeta-Cuk converter ‎and advanced power management. The converter boosts the low voltage from photovoltaic (PV) panels to a high DC bus level, ensuring ‎efficient energy transfer. To maximize power extraction an optimized Maximum Power Point Tracking (MPPT) method, combining the Ant ‎Lion Optimization (ALO) algorithm with an Adaptive Neuro-Fuzzy Inference System (ANFIS), is used. A storage battery and grid ‎connection are incorporated to manage surplus energy during periods of excess PV generation. Power flow between the grid, battery and ‎BLDC motor is coordinated via a bidirectional DC-DC converter controlled by a Proportional-Integral (PI) controller. The system is ‎validated through MATLAB/Simulink simulations, demonstrating a high conversion efficiency of 96.69% and a tracking efficiency of ‎‎99.21%, confirming its potential as a practical and eco-friendly solution for sustainable transportation‎.

International Journal of Basic and Applied SciencesVol. 14(1)
SRM Institute of Science and Technology (IN), Vignana Jyothi Institute of Management (IN), Government Medical College (IN), Bharath University (IN)
Openalex Percentile: Top 90%
Advanced DC-DC Converters
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