Proceedings of the International Conference on Applied Science and Technology on Engineering Science 2023 (iCAST-ES 2023)

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IoT Based Battery Capacity Monitoring System on Solar Panels in Electric Vehicle

Authors
Jefri Lianda1, *, Abdul Hadi1, Adam Adam1, Hikmatul Amri1, Gusti Eviani1
1Department of Elecrtical Engineering, Bengkalis State Polytechnic, Bengkalis, Riau, Indonesia
*Corresponding author. Email: jefri@polbeng.ac.id
Corresponding Author
Jefri Lianda
Available Online 17 February 2024.
DOI
10.2991/978-94-6463-364-1_45How to use a DOI?
Keywords
Battery; Monitoring; NodeMCU; Solar Panel; Blynk
Abstract

This paper studies the battery capacity monitoring system on solar panels in electric cars using the IoT-based NodeMCU ESP8266. All of these systems were built with the aim of making it easier for workers to manage incoming power consumption when charging the battery while preventing battery damage so that battery life can last longer and the use of battery becomes more optimal. This study uses blynk via smartphone and Oled 128 x 64 to see the percentage of battery capacity. After testing the monitoring accuracy, an average error value of 0.97% was obtained. In testing a 12 V / 7 Ah battery using a solar panel with a capacity of 50 WP, it takes 4.5 h to charge the battery with an average current of 1.74 Amperes. Battery charging can also be controlled via a smartphone by pressing the OFF button on the blynk application.

Copyright
© 2024 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the International Conference on Applied Science and Technology on Engineering Science 2023 (iCAST-ES 2023)
Series
Advances in Engineering Research
Publication Date
17 February 2024
ISBN
978-94-6463-364-1
ISSN
2352-5401
DOI
10.2991/978-94-6463-364-1_45How to use a DOI?
Copyright
© 2024 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - Jefri Lianda
AU  - Abdul Hadi
AU  - Adam Adam
AU  - Hikmatul Amri
AU  - Gusti Eviani
PY  - 2024
DA  - 2024/02/17
TI  - IoT Based Battery Capacity Monitoring System on Solar Panels in Electric Vehicle
BT  - Proceedings of the International Conference on Applied Science and Technology on Engineering Science 2023 (iCAST-ES 2023)
PB  - Atlantis Press
SP  - 484
EP  - 492
SN  - 2352-5401
UR  - https://doi.org/10.2991/978-94-6463-364-1_45
DO  - 10.2991/978-94-6463-364-1_45
ID  - Lianda2024
ER  -