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Rebeca Moen Oct 15, 2024 02:18 An AI algorithm developed by RMC researchers aims to enhance EV charging efficiency, reduce costs, and stabilize the power grid, facilitating broader EV adoption. Electric vehicle (EV) charging is witnessing a transformative shift with the introduction of an innovative AI algorithm designed to enhance efficiency, reduce costs, and maintain grid stability. Developed by researchers from the Royal Military College of Canada (RMC), this real-time smart solution optimizes charging schedules for large parking facilities, balancing rapid charging with energy availability. This development is set to accelerate the adoption of EVs, a cleaner alternative for lowering emissions and achieving climate objectives, according to NVIDIA Technical Blog. Optimizing Charging Schedules Vincent Roberge, a professor in the Department of Electrical and Computer Engineering at RMC and lead author of the study, highlighted the environmental and economic benefits of optimizing EV charging schedules. “Optimizing the charging schedule of EVs in a smart parking lot impacts consumers, who pay less, and the environment by maximizing electricity use during peak availability,” Roberge stated. With the increasing popularity of EVs, the availability of charging stations is a critical issue. Efficiently managing the power grid’s demand is crucial, especially in large parking lots where numerous vehicles require simultaneous charging. The AI-powered algorithm addresses this by optimizing schedules based on various factors, including vehicle arrival and departure times, energy demand, electricity costs, and charging rate limits. This approach minimizes costs while preventing grid overloads. Advanced Algorithm Testing The researchers conducted simulations on different EV parking lot sizes, starting with a 20-EV lot and scaling up to facilities accommodating up to 500 vehicles. The algorithm was developed using NVIDIA RTX A6000 GPUs, provided through the NVIDIA Academic Grant Program. It employs a particle swarm optimization (PSO) algorithm, enhanced by NVIDIA’s CUDA-accelerated GPU parallel processing, enabling…

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Filed under: News - @ October 15, 2024 2:17 am