Utilize este identificador para referenciar este registo:
https://hdl.handle.net/1822/38605
Título: | Smart platform towards batteries analysis based on internet-of-things |
Autor(es): | Monteiro, Vítor Duarte Fernandes Ferreira, João C. Afonso, João L. |
Palavras-chave: | Batteries Analysis Electric Mobility Internet-of-Things |
Data: | Nov-2014 |
Editora: | Elsevier 1 |
Revista: | Procedia Technology |
Citação: | Monteiro, V., Ferreira, J. C., & Afonso, J. L. (2014). Smart Platform towards Batteries Analysis Based on Internet-of-Things. Procedia Technology, 17, 520-527 |
Resumo(s): | This paper presents a new approach of pre-defined profiles, based in different voltage and current values, to control the charging and discharging processes of batteries in order to assess their performance. This new approach was implemented in a prototype that was specially developed for such purpose. This prototype is a smart power electronics platform that allows to perform batteries analysis and to control the charging and discharging processes through a web application using pre-defined profiles. This platform was developed aiming to test different batteries technologies. Considering the relevance of the energy storage area based in batteries, especially for the batteries applied to electric mobility systems, this platform allows to perform controlled tests to the batteries, in order to analyze the batteries performance under different scenarios of operation. Besides the results obtained with the batteries, this work also intends to produce results that can contribute to an involvement in the strengthening of the Internet-of-Things. |
Tipo: | Artigo em ata de conferência |
URI: | https://hdl.handle.net/1822/38605 |
ISBN: | 978-989-97531-3-6 |
DOI: | 10.1016/j.protcy.2014.10.189 |
ISSN: | 2212-0173 |
Versão da editora: | http://www.sciencedirect.com/science/article/pii/S2212017314004253 |
Arbitragem científica: | yes |
Acesso: | Acesso aberto |
Aparece nas coleções: |
Ficheiros deste registo:
Ficheiro | Descrição | Tamanho | Formato | |
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EPT_2014_SP_BA_IoT.pdf | 333,22 kB | Adobe PDF | Ver/Abrir |