Design Lead Acid Battery Charging System Using Ant Colony Optimization (ACO) Algorithm

Selamat Muslimin; Ekawati Prihatini; Nyayu Latifah Husni; Yudi Wijanarko; M. Nawawi; Auvi Crisanta Ana Bela; Wahyu Caesarendra

doi:10.2991/978-94-6463-678-9_20

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Design Lead Acid Battery Charging System Using Ant Colony Optimization (ACO) Algorithm

Authors

Selamat Muslimin¹^{, *}, Ekawati Prihatini¹, Nyayu Latifah Husni¹, Yudi Wijanarko¹, M. Nawawi¹, Auvi Crisanta Ana Bela¹, Wahyu Caesarendra²

¹Polytechnic of Sriwijaya, Palembang, Indonesia

²Faculty of Mechanical Engineering, Opole University of Technology, Opole, Poland

^*Corresponding author. Email: selamet_muslimin@polsri.ac.id

Corresponding Author

Selamat Muslimin

Available Online 1 May 2025.

DOI: 10.2991/978-94-6463-678-9_20 How to use a DOI?
Keywords: Smart Charging; Battery; Ant Colony Optimization (ACO)
Abstract: This research shows the design of Smart Charging (SC) using Ant Colony Optimisation (ACO) algorithm for charging 12V 30Ah lead acid battery. This research aims to propose a new energy charging method for electric vehicle batteries using a smart charging system. The new solution to determine the State of Charge (SOC) in the battery charging system will come from a combination of mathematical solutions and artificial intelligence algorithm modelling. The Ant Colony algorithm designs the best current pattern gradually and iteratively until it produces a 5-stage current pattern (10A, 5A, 3A, 2A, and 0A). This algorithm allows the charging device to charge a 12V 30Ah lead acid battery with a stable current of 1.4 A for 25 min with a SOC of 73%.
Copyright: © 2025 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 8th FIRST 2024 International Conference on Global Innovations (FIRST-ESCSI 2024 )
Series: Advances in Engineering Research
Publication Date: 1 May 2025
ISBN: 978-94-6463-678-9
ISSN: 2352-5401
DOI: 10.2991/978-94-6463-678-9_20 How to use a DOI?
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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ris enw bib

TY  - CONF
AU  - Selamat Muslimin
AU  - Ekawati Prihatini
AU  - Nyayu Latifah Husni
AU  - Yudi Wijanarko
AU  - M. Nawawi
AU  - Auvi Crisanta Ana Bela
AU  - Wahyu Caesarendra
PY  - 2025
DA  - 2025/05/01
TI  - Design Lead Acid Battery Charging System Using Ant Colony Optimization (ACO) Algorithm
BT  - Proceedings of the 8th FIRST 2024 International Conference on Global Innovations (FIRST-ESCSI 2024 )
PB  - Atlantis Press
SP  - 211
EP  - 221
SN  - 2352-5401
UR  - https://doi.org/10.2991/978-94-6463-678-9_20
DO  - 10.2991/978-94-6463-678-9_20
ID  - Muslimin2025
ER  -

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