Paper Removed by Author
Electric Vehicles (Evs) have enlarged significant popularity owing to their environmental benefits and theenhancing demand for sustainable transportation. Integrating renewable energy sources such as photovoltaicsystems for EV charging improves the sustainability and cost effectiveness of overall system. For improving theoverall performance and reliability of EV charging systems, an effectual continuous charging of EV batteries iscrucial. Therefore, this paper introduces a novel topology to optimal EV charging by utilizing an integratedSEPIC-Cuk converter with energy management system. The integrated SEPIC-Cuk converter is developed forenhancing the voltage obtained from PV, which offers high voltage gain with reduced component count.Moreover, to control the converter operation, the Chaotic dragon fly optimization (CDO) based PI controller isused, it provide the stable output voltage with better convergence speed and robustness. The battery system getscharged by the PV system for EV charging and the bidirectional converter is employed for both charging anddischarging purpose as per the battery needs. Additionally, the excess energy obtained from the PV system aftersupplying enough power to the battery is deliver to the grid system through single VSI. During unavailablepower from PV, the grid flows in bidirectional for charging the battery, thus continuous power supply is fed tobattery system. To validate the effectiveness of the developed system it is executed in MATLAB/Simulink andthe comparative analysis is made over with the traditional topologies for showing the prominence of theproposed work. The outcomes illustrates that the proposed converter approach has high voltage gain ratio of1:10, high efficiency of 97.42% as well as minimized THD value of 2.42%. Thereby, this research contributes tothe ongoing efforts in developing advanced charging solutions with energy management system
Publication Details
- Journal
- Zenodo (CERN European Organization for Nuclear Research)
- Published
- 2025-06-18
- DOI
- https://doi.org/10.5281/zenodo.15689397
- Primary Topic
- Electric Vehicles and Infrastructure
- Type
- article
- Field-Weighted Citation Impact
- 0.00