IoT based Lithium-ion Battery Pack Performance Monitoring

Murie Dwiyaniti, Luthfi Kusuma, Tohazen, Nuha Nadhiroh, Sri K.

2021

Abstract

Lithium-ion batteries are the latest battery technology that claims to have a long lifetime. However, if using a lithium-ion battery exceeds the state of health voltage, the lifetime of the lithium-ion battery will decrease faster. In order to have a long lifetime, the lithium-ion battery requires a continuous, real-time, and mobile monitoring system for battery electrical parameters. In this study, we created an IoT-based battery electrical monitoring system applied to a lithium-ion battery pack with a capacity of 60 Ah, 12 Volt. This monitoring system can monitor the current, voltage, power, and battery capacity data through the LCD on the panel and smartphone every minute. As a result, during charge and discharge, the monitor system that has been created successfully monitors all electrical data on the battery pack. The battery pack can supply 57Watt AC load at discharge for 7 hours and 50Watt DC load for 9 hours. When charging, the battery pack takes 24 hours with a charging current of 2 A. If the battery condition is low, the system will notify via smartphone. In addition, electrical parameter data is well recorded through the Blynk application and google spreadsheet.

Paper Citation

in Harvard Style

Dwiyaniti M., Kusuma L., Tohazen., Nadhiroh N. and K. S. (2021). IoT based Lithium-ion Battery Pack Performance Monitoring. In Proceedings of the 4th International Conference on Applied Science and Technology on Engineering Science - Volume 1: iCAST-ES, ISBN 978-989-758-615-6, pages 668-673. DOI: 10.5220/0010950800003260

in Bibtex Style

@conference{icast-es21,
author={Murie Dwiyaniti and Luthfi Kusuma and Tohazen and Nuha Nadhiroh and Sri K.},
title={IoT based Lithium-ion Battery Pack Performance Monitoring},
booktitle={Proceedings of the 4th International Conference on Applied Science and Technology on Engineering Science - Volume 1: iCAST-ES,},
year={2021},
pages={668-673},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010950800003260},
isbn={978-989-758-615-6},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 4th International Conference on Applied Science and Technology on Engineering Science - Volume 1: iCAST-ES,
TI - IoT based Lithium-ion Battery Pack Performance Monitoring
SN - 978-989-758-615-6
AU - Dwiyaniti M.
AU - Kusuma L.
AU - Tohazen.
AU - Nadhiroh N.
AU - K. S.
PY - 2021
SP - 668
EP - 673
DO - 10.5220/0010950800003260