Analysis of Soil Nutrients based on Potential Productivity Tests with Balanced Minerals for Maize-Chickpea Crop
Volume-3 | Issue-1

Simulation of Electromagnetic Waves Propagation Using Matlab
Volume-6 | Issue-2

A Review on Low Power VLSI Design Models in Various Circuits
Volume-4 | Issue-2

Industrial Quality Prediction System through Data Mining Algorithm
Volume-3 | Issue-2

Evaluating Performance of Different Machine Learning Algorithms for the Acute EMG Hand Gesture Datasets
Volume-4 | Issue-3

Test Automation of Motor Over Temperature Protection Extension Module of Drive
Volume-5 | Issue-2

Design and Development of Three Phase Detuned Filter Reactor for Reduction of Harmonic Distortion in Power Systems
Volume-5 | Issue-2

Comparative Analysis an Early Fault Diagnosis Approaches in Rotating Machinery by Convolution Neural Network
Volume-3 | Issue-2

Nakagami-m Fading Detection with Eigen Value Spectrum Algorithms
Volume-3 | Issue-2

Abstractive Summarization System
Volume-3 | Issue-4

SMART STREET SYSTEM WITH IOT BASED STREET LIGHT OPERATION AND PARKING APPLICATION
Volume-1 | Issue-1

ENERGY AND POWER EFFICIENT SYSTEM ON CHIP WITH NANOSHEET FET
Volume-1 | Issue-1

Abstractive Summarization System
Volume-3 | Issue-4

A Review on Meshing Techniques in Biomedicine
Volume-3 | Issue-4

MIMO BASED HIGH SPEED OPTICAL FIBER COMMUNICATION SYSTEM
Volume-1 | Issue-2

Industrial Quality Prediction System through Data Mining Algorithm
Volume-3 | Issue-2

Comparative Analysis of Temperature Measurement Methods based on Degree of Agreement
Volume-3 | Issue-3

Transistor Sizing using Hybrid Reinforcement Learning and Graph Convolution Neural Network Algorithm
Volume-3 | Issue-3

VIRTUAL REALITY SIMULATION AS THERAPY FOR POSTTRAUMATIC STRESS DISORDER (PTSD)
Volume-1 | Issue-1

Comparative Analysis an Early Fault Diagnosis Approaches in Rotating Machinery by Convolution Neural Network
Volume-3 | Issue-2

Home / Archives / Volume-7 / Issue-1 / Article-5

Volume - 7 | Issue - 1 | march 2025

Performance Analysis V2G Technology in Electric Vehicles Open Access
Gokulakannan D.  , Chitra S.  165
Pages: 56-67
Cite this article
D., Gokulakannan, and Chitra S.. "Performance Analysis V2G Technology in Electric Vehicles." Journal of Electronics and Informatics 7, no. 1 (2025): 56-67
Published
19 April, 2025
Abstract

The increasing adoption of electric vehicles (EVs) has paved the way for innovative energy management solutions, particularly through bi-directional energy transfer systems. Vehicle-to-Grid (V2G) and Grid-to-Vehicle (G2V) technologies enable EVs to not only consume energy from the grid but also supply energy back to it, creating a dynamic interaction between EVs and the power grid. This bi-directional capability holds significant potential for enhancing grid stability, supporting renewable energy integration, and providing economic benefits to EV owners. However, the implementation of such systems requires robust design, efficient control strategies, and thorough analysis to ensure optimal performance and reliability. This study addresses these challenges by proposing a bi-directional battery system for EVs, designed and simulated using MATLAB Simulink, to evaluate its performance in both V2G and G2V modes. The proposed system integrates a lithium-ion battery pack, a bi-directional DC-AC converter, and a control system to manage energy transfer between the EV battery and the power grid. The MATLAB Simulink model includes detailed components such as the battery block with SOC estimation, the bi-directional converter, and a three-phase grid interface. Simulation results demonstrate that the system achieves an energy transfer efficiency of 92% in both V2G and G2V modes, effectively maintains the battery SOC within the 20%-80% range, and ensures stable grid synchronization under varying load conditions. The findings highlight the system's potential to support grid stability and renewable energy integration while addressing challenges such as battery degradation and grid infrastructure requirements.

Keywords

Electric Vehicle (EV) Vehicle-to-Grid (V2G) Grid-to-Vehicle (G2V) MATLAB Simulink Bi-Directional Charging Battery Management System (BMS)

×

Currently, subscription is the only source of revenue. The subscription resource covers the operating expenses such as web presence, online version, pre-press preparations, and staff wages.

To access the full PDF, please complete the payment process.

Subscription Details

Category Fee
Article Access Charge
15 USD
Open Access Fee Nil
Annual Subscription Fee
200 USD
After payment,
please send an email to irojournals.contact@gmail.com / journals@iroglobal.com requesting article access.
Subscription form: click here