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01-07-2024 | Original Paper

Optimized maximum power point tracking for PV fed hybrid DC-DC converter-based BLDC motor driven electric vehicles

Authors: E. Maheswari, Bapayya Naidu Kommula, K. Rajesh, Sanjeev Sharma

Published in: Electrical Engineering | Issue 1/2025

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Abstract

The article presents a novel approach to optimizing energy conversion in electric vehicles (EVs) powered by photovoltaic (PV) systems. It introduces a Modified Boost-Luo DC-DC converter that significantly improves voltage conversion ratios and efficiency. The system also incorporates a Chaotic Genetic Algorithm (GA)-based Maximum Power Point Tracking (MPPT) mechanism, which ensures optimal energy harvesting from PV arrays under varying environmental conditions. The proposed system is designed to enhance the overall efficiency and performance of EVs, making them more sustainable and reliable. The article provides detailed modeling, simulation results, and hardware validation, demonstrating the superior performance of the proposed converter and MPPT system. It also discusses the comparative analysis with other converter designs and highlights the advantages of the proposed approach in terms of efficiency, voltage gain, and reduced stress on semiconductor components. The research emphasizes the potential of advanced control algorithms and innovative converter topologies in advancing the integration of renewable energy in transportation.

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Title: Optimized maximum power point tracking for PV fed hybrid DC-DC converter-based BLDC motor driven electric vehicles
Authors: E. Maheswari
Bapayya Naidu Kommula
K. Rajesh
Sanjeev Sharma
Publication date: 01-07-2024
Publisher: Springer Berlin Heidelberg
Published in: Electrical Engineering / Issue 1/2025
Print ISSN: 0948-7921
Electronic ISSN: 1432-0487
DOI: https://doi.org/10.1007/s00202-024-02561-y

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Springer Professional "Business + Economics & Engineering + Technology"

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Reliability modeling of different wave energy conversion technologies

A novel dual-layer cascaded torque control mechanism for the improved drivetrain performance for electric vehicles

Design of a resilient wide-area damping controller using time delays

Research on distributed photovoltaic cluster partition and dynamic adjustment strategy based on AGA

IMC-PI control-based solar PV output voltage regulation for battery charging

Advancements in solar photovoltaic modelling: selective opposition-based variable weighted grey wolf optimizer with improved Newton–Raphson analysis