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A real-time thermal behaviour monitoring and analysis of a 500 kWh grid-connected battery energy storage system

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dc.citedby0
dc.contributor.authorShahroom A.F.en_US
dc.contributor.authorMansor M.en_US
dc.contributor.authorYing Y.J.en_US
dc.contributor.authorRahman M.S.A.en_US
dc.contributor.authorid58812539700en_US
dc.contributor.authorid58845449800en_US
dc.contributor.authorid58179118600en_US
dc.contributor.authorid58811982000en_US
dc.date.accessioned2024-10-14T03:20:07Z
dc.date.available2024-10-14T03:20:07Z
dc.date.issued2023
dc.description.abstractStatistical analysis yields critical data for risk evaluation and management of a stationary battery energy storage system (BESS). Lithium-ion (Li-ion) batteries have attained huge attention for both stationary and non-stationary applications due to their lucrative features such as lightweight, high energy density efficiency, and long lifespan. However, detailed analysis and trends subjected to thermal behaviour of the device especially in grid-connected BESS application is still neglected. Therefore, this paper presents a statistical analysis for thermal behaviour of a grid connected BESS. The significance of Li-ion battery employing battery thermal management is presented, which can guarantee a reliable and safe operation as well as examining the effect of voltage, current and state of charge (SOC) on BESS operation. The large group of datasets recorded daily with five-minute intervals are difficult to be analysed numerically in a timely manner. Thus, the analysis can be made by visualizing the numerical data that was retrieved through representational state transfer (REST API) for easier interpretation and trend analysis. The visualization is made using Microsoft Power BI and presented in this paper. � 2023 Institute of Physics Publishing. All rights reserved.en_US
dc.description.natureFinalen_US
dc.identifier.ArtNo12065
dc.identifier.doi10.1088/1755-1315/1281/1/012065
dc.identifier.issue1
dc.identifier.scopus2-s2.0-85182373920
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85182373920&doi=10.1088%2f1755-1315%2f1281%2f1%2f012065&partnerID=40&md5=c56ec8c8213b5bab45d15ec89b50a0f9
dc.identifier.urihttps://irepository.uniten.edu.my/handle/123456789/34488
dc.identifier.volume1281
dc.publisherInstitute of Physicsen_US
dc.relation.ispartofAll Open Access
dc.relation.ispartofGold Open Access
dc.sourceScopus
dc.sourcetitleIOP Conference Series: Earth and Environmental Science
dc.titleA real-time thermal behaviour monitoring and analysis of a 500 kWh grid-connected battery energy storage systemen_US
dc.typeConference Paperen_US
dspace.entity.typePublication
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