PV-Based Design and Evaluation of Power Electronic Topologies for EV Applications

Bondu Pavan Kumar Reddy; Vyza Usha Reddy

doi:10.52756/ijerr.2024.v39spl.009

Bondu Pavan Kumar Reddy Electrical & Electronics Engineering, S. V. U. College of Engineering, Tirupati, Andhra Pradesh, India https://orcid.org/0000-0001-8845-571X
Vyza Usha Reddy Electrical & Electronics Engineering, S. V. U. College of Engineering, Tirupati, Andhra Pradesh, India https://orcid.org/0009-0004-7070-8925

DOI: https://doi.org/10.52756/ijerr.2024.v39spl.009

Keywords: Electric vehicle, Incremental conductance, Modified SEPIC converter, Maximum power point tracking, Perturb and observe, Photovoltaic

Abstract

This study presents a unique concept for an electric vehicle (EV) charging system that is powered by photovoltaic (PV) technology. The core of the system is a modified single-ended primary inductance converter, chosen for its high efficiency, reduced switch voltage stress, and ample operating range for maximum power point tracking (MPPT). This study details the redesigned SEPIC converter architecture, including with and without the MPPT algorithm. Additionally, an optimized parameter selection, design methodology, and simulation technique are presented for analyzing converter performance in EV charging applications. Two MPPT approaches, Perturb and Observe (P&O) and incremental conductance (IC), are investigated and compared based on their impact on the converter switching time under standard solar PV panel testing conditions. To comprehensively evaluate the system's performance, a MATLAB/Simulink model is developed, simulating the charging of a 48 V, 200 Ah battery using a 2 kW solar PV input through the modified SEPIC converter and variations in the battery state of charge (SoC), battery voltage, and charging current are monitored. The simulation results demonstrate that under identical simulated conditions (10 Sec), the battery SoC increases from 50% to 50.034% without MPPT and to 50.042% with MPPT, highlighting the effectiveness of the MPPT algorithms in maximizing harvested solar energy.

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