Bidirectional Power Flow Control for Electric Vehicle Charging System with Integration of Grid

Abstract The rising utilization of electric vehicles (EVs) is exerting additional pressure on the power grid. A feasible option to reduce this difficulty is through the use of bidirectional chargers, which can not only charge EV batteries but also support grid operations. These chargers contain bidirectional converters, consisting of an DC-DC converter and a AC-DC converter, to enable both charging and draining of the battery. By adjusting the working mode of DC-DC converter, its functionality can be altered accordingly. (PHEVs) have the ability to function in “vehicle-to-grid” (V2G) mode, which allows EV batteries and the grid to exchange energy in both directions. The objective of this study is to design a control method that enhances power transfer efficiency for both charging (G2V) and discharging (V2G) processes in electric vehicles. This will help with voltage stabilization, grid balancing, peak load reduction, and improving the overall reliability of power system. The energy saved in EV batteries may be fed back into the grid using V2G technology, which adds reserve power and stabilizes the grid. Additionally, energy transmit from the grid to charge the car battery is made possible by a bidirectional charging circuit. Critical characteristics like grid current, inverter current, and battery performance are assessed in this study using the G2V and V2G frameworks. The bidirectional charger for EVs is modeled and simulated using MATLAB/Simulink, with an emphasis on how it functions in both modes.

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Publication Details

Journal
IOP Conference Series Earth and Environmental Science
Published
2025-08-01
DOI
https://doi.org/10.1088/1755-1315/1529/1/012025
Citations
1
Primary Topic
Advanced Battery Technologies Research
Type
article
Field-Weighted Citation Impact
1.71
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article

Bidirectional Power Flow Control for Electric Vehicle Charging System with Integration of Grid

Bommanaboina Ramya, K. Tarun, S. Rama Reddy, Vutti Madhulikha et al.
1 citations
IOP Conference Series Earth and Environmental Science
Advanced Battery Technologies Research
1.71
article

Bidirectional Power Flow Control for Electric Vehicle Charging System with Integration of Grid

Bommanaboina Ramya, K. Tarun, S. Rama Reddy, Vutti Madhulikha, Chakala Venkatasai, Syed Sultan Mohiddin
article en
1 citations

Abstract

Abstract The rising utilization of electric vehicles (EVs) is exerting additional pressure on the power grid. A feasible option to reduce this difficulty is through the use of bidirectional chargers, which can not only charge EV batteries but also support grid operations. These chargers contain bidirectional converters, consisting of an DC-DC converter and a AC-DC converter, to enable both charging and draining of the battery. By adjusting the working mode of DC-DC converter, its functionality can be altered accordingly. (PHEVs) have the ability to function in “vehicle-to-grid” (V2G) mode, which allows EV batteries and the grid to exchange energy in both directions. The objective of this study is to design a control method that enhances power transfer efficiency for both charging (G2V) and discharging (V2G) processes in electric vehicles. This will help with voltage stabilization, grid balancing, peak load reduction, and improving the overall reliability of power system. The energy saved in EV batteries may be fed back into the grid using V2G technology, which adds reserve power and stabilizes the grid. Additionally, energy transmit from the grid to charge the car battery is made possible by a bidirectional charging circuit. Critical characteristics like grid current, inverter current, and battery performance are assessed in this study using the G2V and V2G frameworks. The bidirectional charger for EVs is modeled and simulated using MATLAB/Simulink, with an emphasis on how it functions in both modes.

IOP Conference Series Earth and Environmental ScienceVol. 1529(1)
Jawaharlal Nehru Technological University Anantapur (IN)
Affordable and clean energy
Openalex Percentile: Top 7%
Advanced Battery Technologies Research
1.71
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