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Distributed Intelligent Battery Management System Using a Real-World Cloud Computing System

In this work, a decentralized but synchronized real-world system for smart battery management was designed by using a general controller with cloud computing capability, four charge regulators, and a set of sensorized battery monitors with networking and Bluetooth capabilities. Currently, for real-w...

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Detalles Bibliográficos
Autores principales: García, Emilio, Quiles, Eduardo, Correcher, Antonio
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10098843/
https://www.ncbi.nlm.nih.gov/pubmed/37050477
http://dx.doi.org/10.3390/s23073417
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author García, Emilio
Quiles, Eduardo
Correcher, Antonio
author_facet García, Emilio
Quiles, Eduardo
Correcher, Antonio
author_sort García, Emilio
collection PubMed
description In this work, a decentralized but synchronized real-world system for smart battery management was designed by using a general controller with cloud computing capability, four charge regulators, and a set of sensorized battery monitors with networking and Bluetooth capabilities. Currently, for real-world applications, battery management systems (BMSs) can be used in the form of distributed control systems where general controllers, charge regulators, and smart monitors and sensors are integrated, such as those proposed in this work, which allow more precise estimations of a large set of important parameters, such as the state of charge (SOC), state of health (SOH), current, voltage, and temperature, seeking the safety and the extension of the useful life of energy storage systems based on battery banks. The system used is a paradigmatic real-world example of the so-called intelligent battery management systems. One of the contributions made in this work is the realization of a distributed design of a BMS, which adds the benefit of increased system security compared to a fully centralized BMS structure. Another research contribution made in this work is the development of a methodical modeling procedure based on Petri Nets, which establishes, in a visible, organized, and precise way, the set of conditions that will determine the operation of the BMS. If this modeling is not carried out, the threshold values and their conditions remain scattered, not very transparent, and difficult to deal with in an aggregate way.
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spelling pubmed-100988432023-04-14 Distributed Intelligent Battery Management System Using a Real-World Cloud Computing System García, Emilio Quiles, Eduardo Correcher, Antonio Sensors (Basel) Article In this work, a decentralized but synchronized real-world system for smart battery management was designed by using a general controller with cloud computing capability, four charge regulators, and a set of sensorized battery monitors with networking and Bluetooth capabilities. Currently, for real-world applications, battery management systems (BMSs) can be used in the form of distributed control systems where general controllers, charge regulators, and smart monitors and sensors are integrated, such as those proposed in this work, which allow more precise estimations of a large set of important parameters, such as the state of charge (SOC), state of health (SOH), current, voltage, and temperature, seeking the safety and the extension of the useful life of energy storage systems based on battery banks. The system used is a paradigmatic real-world example of the so-called intelligent battery management systems. One of the contributions made in this work is the realization of a distributed design of a BMS, which adds the benefit of increased system security compared to a fully centralized BMS structure. Another research contribution made in this work is the development of a methodical modeling procedure based on Petri Nets, which establishes, in a visible, organized, and precise way, the set of conditions that will determine the operation of the BMS. If this modeling is not carried out, the threshold values and their conditions remain scattered, not very transparent, and difficult to deal with in an aggregate way. MDPI 2023-03-24 /pmc/articles/PMC10098843/ /pubmed/37050477 http://dx.doi.org/10.3390/s23073417 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
García, Emilio
Quiles, Eduardo
Correcher, Antonio
Distributed Intelligent Battery Management System Using a Real-World Cloud Computing System
title Distributed Intelligent Battery Management System Using a Real-World Cloud Computing System
title_full Distributed Intelligent Battery Management System Using a Real-World Cloud Computing System
title_fullStr Distributed Intelligent Battery Management System Using a Real-World Cloud Computing System
title_full_unstemmed Distributed Intelligent Battery Management System Using a Real-World Cloud Computing System
title_short Distributed Intelligent Battery Management System Using a Real-World Cloud Computing System
title_sort distributed intelligent battery management system using a real-world cloud computing system
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10098843/
https://www.ncbi.nlm.nih.gov/pubmed/37050477
http://dx.doi.org/10.3390/s23073417
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