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Electrical Engineering

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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

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

Erschienen in: Electrical Engineering | Ausgabe 1/2025

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Abstract

Bridging Photovoltaic (PV) energy generation with Electric Vehicle (EV) technology is an essential development in the modern quest for energy sustainability and advanced transportation methods. Consequently, this research focuses on enhancing efficient power utilization in PV-based EVs through the application of a novel Modified Boost-Luo DC-DC converter and a Chaotic Genetic Algorithm -based Maximum Power Point Tracking system. The Modified Boost-Luo converter provides a high voltage conversion ratio by incorporating a Voltage Multiplier Cell (VMC) and Three-Winding Coupled Inductor (3WCL) into its circuit configuration. The augmented PV output from Modified Boost-Luo converter is directed to the Brushless DC (BLDC) motor of the EV through a three-phase Voltage Source Inverter (3ΦVSI). Moreover, speed regulation in the BLDC motor is achieved using a Proportional–Integral (PI) controller. A distinctive feature of the proposed system involves the storage of surplus PV-generated power in a battery, interconnected to the DC-link via a bidirectional converter. In instances of PV power unavailability, the BLDC motor seamlessly taps into the stored energy in the battery for continued operation. The proposed approach is evaluated through both MATLAB simulation and laboratory prototype implementation, showcasing its potential to advance EV technology.

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Titel: Optimized maximum power point tracking for PV fed hybrid DC-DC converter-based BLDC motor driven electric vehicles
verfasst von: E. Maheswari
Bapayya Naidu Kommula
K. Rajesh
Sanjeev Sharma
Publikationsdatum: 01.07.2024
Verlag: Springer Berlin Heidelberg
Erschienen in: Electrical Engineering / Ausgabe 1/2025
Print ISSN: 0948-7921
Elektronische ISSN: 1432-0487
DOI: https://doi.org/10.1007/s00202-024-02561-y

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Novel high-gain boost converter with experimentally validated ADRC control technique for renewable energy applications

Economic operation of residential load using IOT-based renewable energy management system

Increasing efficiency and cost-effectiveness through optimizing the interaction between energy hub systems and distribution networks in modern energy distribution networks

Dynamic performance analysis of DC–DC boost converter with one- and two-voltage multiplier cells for high voltage gain and voltage regulation

Model-free control for variable-speed wind energy conversion systems based on power tracking

Stochastic operation of Volt-VAr optimization and network reconfiguration-based energy management under different loading patterns