Title: Buck converter-based transformer-less electric vehicle charger using artificial intelligent controller

Authors: Aayushi Priyadarshini; Shekhar Yadav; Nitesh Tiwari

Addresses: Department of Electrical Engineering, Madan Mohan Malaviya University of Technology, Gorakhpur, UP, India ' Department of Electrical Engineering, Madan Mohan Malaviya University of Technology, Gorakhpur, UP, India ' Department of Electrical Engineering, Madan Mohan Malaviya University of Technology, Gorakhpur, UP, India

Abstract: The uni-directional power exchange between a charging station and an electric vehicle is important for grid-to-vehicle charging. While accomplishing the operation, various converters and controllers play an important role in transferring smooth power between the grid-to-vehicle. The paper discusses designing the model of a buck converter-based transformer-less charger that uses artificial intelligent controllers as well as confirms the power exchange between the grid and battery of the vehicle. The performance of a transformer-less grid-to-vehicle charger is designed using various electric vehicles based on consumer choice. The results demonstrate that the proposed charger delivers smooth power flow between charging stations to various types of vehicles with minimum voltage tracking error. The simulation tool MATLAB and SIMULINK estimates the settling time, tracking error, peak overshoot, smoothness of the controller, and accurate charger state-of-charge to prevent the battery from being overcharged.

Keywords: buck converter; grid-to-vehicle charger; proportional-integral controller; fuzzy logic controller; FLC; artificial neural network; ANN; adaptive neuro-fuzzy inference system; ANFIS; and state-of-charge; SOC.

DOI: 10.1504/IJPT.2024.140132

International Journal of Powertrains, 2024 Vol.13 No.2, pp.156 - 177

Received: 12 Apr 2023
Accepted: 20 Jan 2024
Published online: 24 Jul 2024 *

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