Smart Charging Model Design with ACO Algorithm for Determining Current Charging Pattern
- DOI
- 10.2991/978-94-6463-386-3_35How to use a DOI?
- Keywords
- Ant Colony Optimization; Smart Charging; battery
- Abstract
The electric car battery-charging system significantly affects the quality of battery usage and charging time. Therefore, we need smart charging which can determine the optimal battery-charging pattern to produce a fast and controlled charging system. This study discusses the implementation of an Ant Colony Optimization (ACO) algorithm in a battery-charging system. The ACO algorithm determines charging current patterns, resulting in fast and controlled charging for each battery. The experimental results show that the system with the ACO algorithm can charge four lead-acid batteries quickly and in a controlled manner. This research also shows that the ACO algorithm setting system can charge the battery 8,413 min faster than the conventional CC-CV method.
- 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
TY - CONF AU - Selamat Muslimin AU - Zainudin Nawawi AU - Bakti Yudo Suprapto AU - Tresna Dewi PY - 2024 DA - 2024/02/27 TI - Smart Charging Model Design with ACO Algorithm for Determining Current Charging Pattern BT - Proceedings of the 7th FIRST 2023 International Conference on Global Innovations (FIRST-ESCSI 2023) PB - Atlantis Press SP - 316 EP - 330 SN - 2352-5401 UR - https://doi.org/10.2991/978-94-6463-386-3_35 DO - 10.2991/978-94-6463-386-3_35 ID - Muslimin2024 ER -