Real-Time Smart Power Distribution in Electric Vehicle Chargers: Utilizing Rust Programming for Enhanced Efficiency

The increase in the number of electric vehicles (EVs) and charging units generates a substantial power demand, necessitating the effective management of these loads. This study examines a model that employs the Priority-Based Power Distribution approach to prioritize EVs at charging stations based on real-time power demand. By leveraging the advantages of the Rust programming language, we developed and simulated a real-time model framework. This research introduces an innovative interface and design for controller systems, illustrating the critical role of Rust programming in optimizing EV charging station operations. The results underscore the efficiency and practicality of our proposed model in effectively managing dynamic power distribution.

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Publication Details

Published
2024-10-16
DOI
https://doi.org/10.1109/asyu62119.2024.10756991
Primary Topic
Advanced Battery Technologies Research
Type
article
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article

Real-Time Smart Power Distribution in Electric Vehicle Chargers: Utilizing Rust Programming for Enhanced Efficiency

Necati Aksoy, İbrahim Gürsu Tekdemir, Fatih Çakıl
Advanced Battery Technologies Research
article

Real-Time Smart Power Distribution in Electric Vehicle Chargers: Utilizing Rust Programming for Enhanced Efficiency

Necati Aksoy, İbrahim Gürsu Tekdemir, Fatih Çakıl
article en

Abstract

The increase in the number of electric vehicles (EVs) and charging units generates a substantial power demand, necessitating the effective management of these loads. This study examines a model that employs the Priority-Based Power Distribution approach to prioritize EVs at charging stations based on real-time power demand. By leveraging the advantages of the Rust programming language, we developed and simulated a real-time model framework. This research introduces an innovative interface and design for controller systems, illustrating the critical role of Rust programming in optimizing EV charging station operations. The results underscore the efficiency and practicality of our proposed model in effectively managing dynamic power distribution.

Bursa Technical University (TR)
Affordable and clean energy
Openalex Percentile: Top 72%
Advanced Battery Technologies Research
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