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Empowering the Future: The Rise of Electric Vehicle Charging Hubs

Author(s) Sree Lakshmi Vineetha Bitragunta
Country United States
Abstract The integration of electric vehicles (EVs) and their collective battery capacity is pivotal for balancing a smart power grid, concurrently aiding in the reduction of fossil fuel consumption in the transportation sector through the utilization of renewable energy sources like wind turbines and solar power. It emphasizes the critical role of meticulous monitoring of connection points and the evaluation of battery capacity in electric vehicles (EVs) for supporting the development of a smart grid and broader adoption of renewable energy sources. It introduces a successfully implemented data warehouse model that comprehensively stores information on various aspects of EV charging, integrating data with electricity prices from a spot market. Over 2.5 years, the model has accumulated charging data from 176 EVs, with the paper detailing its structure and implementation, including intricate operations like spatial identification of charging station usage patterns. Additionally, the document presents novel analyses from the data warehouse, exploring variations in available battery capacity within the EV fleet throughout the day. These insights contribute to optimizing EV charging strategies and fostering the development of a more efficient and sustainable energy infrastructure. It also delves into how users can optimize cost savings by charging their EVs when electricity prices are at their lowest. These examples underscore the practical applications of the proposed data warehouse in comprehending and optimizing EV charging dynamics within the context of a smart grid and renewable energy integration.
Keywords Charging Controller, EV charger, charging station, Power Converter, Plug in EV
Field Engineering
Published In Volume 5, Issue 11, November 2024
Published On 2024-11-05
Cite This Empowering the Future: The Rise of Electric Vehicle Charging Hubs - Sree Lakshmi Vineetha Bitragunta - IJLRP Volume 5, Issue 11, November 2024. DOI 10.5281/zenodo.14945815
DOI https://doi.org/10.5281/zenodo.14945815
Short DOI https://doi.org/g86pfn
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