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

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

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dc.contributor.author García Moreno, Emilio es_ES
dc.contributor.author Quiles Cucarella, Eduardo es_ES
dc.contributor.author Correcher Salvador, Antonio es_ES
dc.date.accessioned 2024-02-22T19:01:56Z
dc.date.available 2024-02-22T19:01:56Z
dc.date.issued 2023-04 es_ES
dc.identifier.uri http://hdl.handle.net/10251/202744
dc.description.abstract [EN] 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. es_ES
dc.language Inglés es_ES
dc.publisher MDPI AG es_ES
dc.relation.ispartof Sensors es_ES
dc.rights Reconocimiento (by) es_ES
dc.subject ESS es_ES
dc.subject SOC es_ES
dc.subject SOH es_ES
dc.subject Battery management system es_ES
dc.subject Charge regulator es_ES
dc.subject Cloud computing es_ES
dc.subject Temperature sensor es_ES
dc.subject.classification INGENIERIA DE SISTEMAS Y AUTOMATICA es_ES
dc.title Distributed Intelligent Battery Management System Using a Real-World Cloud Computing System es_ES
dc.type Artículo es_ES
dc.identifier.doi 10.3390/s23073417 es_ES
dc.rights.accessRights Abierto es_ES
dc.contributor.affiliation Universitat Politècnica de València. Escuela Técnica Superior de Ingeniería del Diseño - Escola Tècnica Superior d'Enginyeria del Disseny es_ES
dc.contributor.affiliation Universitat Politècnica de València. Escuela Técnica Superior de Ingenieros Industriales - Escola Tècnica Superior d'Enginyers Industrials es_ES
dc.description.bibliographicCitation García Moreno, E.; Quiles Cucarella, E.; Correcher Salvador, A. (2023). Distributed Intelligent Battery Management System Using a Real-World Cloud Computing System. Sensors. 23(7). https://doi.org/10.3390/s23073417 es_ES
dc.description.accrualMethod S es_ES
dc.relation.publisherversion https://doi.org/10.3390/s23073417 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.description.volume 23 es_ES
dc.description.issue 7 es_ES
dc.identifier.eissn 1424-8220 es_ES
dc.identifier.pmid 37050477 es_ES
dc.identifier.pmcid PMC10098843 es_ES
dc.relation.pasarela S\486145 es_ES


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