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Battery Monitoring System and Control Using LoRa Technology for Battery Behavior and Analysis
Electrical and Electronics Engineering, Universiti Teknologi Brunei, Bandar Seri Begawan, Brunei Darussalam.
Electrical and Computer Engineering, Memorial University of Newfoundland, St. John's, NL, Canada.
Electrical and Electronics Engineering, Universiti Teknologi Brunei, Bandar Seri Begawan, Brunei Darussalam.
Civil Engineering, Universiti Teknologi Brunei, Bandar Seri Begawan, Brunei Darussalam.
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2024 (English)In: 4th International Conference on Innovative Research in Applied Science, Engineering and Technology, IRASET 2024 / [ed] Bachir Benhala; Abdelhadi Raihani; Mohammed Qbadou, IEEE, 2024Conference paper, Published paper (Refereed)
Abstract [en]

Batteries are intricate electrochemical devices that demonstrate stochastic and nonlinear behavior contingent upon environmental and operational conditions; therefore, battery monitoring is an essential component throughout their application. This paper introduces a web-based battery monitoring and control system that utilizes Long Range (LoRa) communication technology, an element of Internet of Things (IoT), utilizing the ESP32 microcontroller. The system provides comprehensive online data in real-time through the integration of a multitude of sensors. The proposed system aims to overcome the constraints of current communication technology by capitalizing on the advantages of LoRa, a technology known for its efficient long-range and low-energy transmission, which renders it highly suitable for applications involving real-time monitoring. Furthermore, a control operation allows users to manage critical battery functions, including charging and discharging. The study performed a thorough experimental assessment of the proposed system across various operations, and the outcomes effectively corresponded with the primary objective and goals of the research. The system under consideration successfully facilitates remote monitoring and user control in real-time, provides long-term data visualization through data logging, and enables battery condition evaluation. The implementation of data logging was intended to optimize the utilization of future battery evaluation metrics, including State-of-Charge (SOC), State-of-Health (SOH), and Remaining Useful Life (RUL). Consequently, the developed system is well-suited for numerous applications that demand efficient energy storage solutions, including Electric Vehicles (EVs) and renewable energy.

Place, publisher, year, edition, pages
IEEE, 2024.
Keywords [en]
Battery Monitoring System, Electric Vehicle (EV), Energy Management System, ESP32, Internet of Things (IoT), LoRa Technology
National Category
Other Electrical Engineering, Electronic Engineering, Information Engineering Communication Systems
Research subject
Automatic Control
Identifiers
URN: urn:nbn:se:ltu:diva-108595DOI: 10.1109/IRASET60544.2024.10548379Scopus ID: 2-s2.0-85197171397OAI: oai:DiVA.org:ltu-108595DiVA, id: diva2:1889822
Conference
4th International Conference on Innovative Research in Applied Science, Engineering and Technology (IRASET 2024),Fez, Morocco, May 16-17, 2024
Note

ISBN for host publication: 979-8-3503-0951-5; 979-8-3503-0950-8

Available from: 2024-08-16 Created: 2024-08-16 Last updated: 2025-10-21Bibliographically approved

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Laila, Dina Shona

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