Journal of Advances in Developmental Research

E-ISSN: 0976-4844   •   Impact Factor: 9.71

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Managing Power Flows and Energy Efficiency in Embedded Systems for BESS

Author(s) Soujanya Reddy Annapareddy
Country United States
Abstract The increasing adoption of Battery Energy Storage Systems (BESS) as a key component of modern energy grids has brought a significant focus on optimizing power flow management and energy efficiency. Embedded systems play a pivotal role in controlling and monitoring these systems, ensuring reliability and performance. This paper explores methodologies for managing power flows in BESS through advanced embedded systems, emphasizing algorithms for load balancing, energy distribution, and real-time decision-making. It also highlights techniques to enhance energy efficiency, including adaptive power routing, thermal management, and the integration of machine learning for predictive analytics. The proposed approach demonstrates improved energy utilization, extended battery life, and reduced operational costs, making it a vital solution for sustainable energy storage systems.
Keywords Battery Energy Storage System (BESS), Embedded Systems, Power Flow Management, Energy Efficiency, Load Balancing, Real-Time Decision-Making, Adaptive Power Routing, Machine Learning, Thermal Management, Sustainable Energy Storage
Field Engineering
Published In Volume 15, Issue 2, July-December 2024
Published On 2024-12-04
Cite This Managing Power Flows and Energy Efficiency in Embedded Systems for BESS - Soujanya Reddy Annapareddy - IJAIDR Volume 15, Issue 2, July-December 2024. DOI 10.5281/zenodo.14615832
DOI https://doi.org/10.5281/zenodo.14615832
Short DOI https://doi.org/g8x3s2
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