Charging System for Lead Acid Battery and Capacitor Bank  with Ant Colony Optimization

Selamet Muslimin; Muhammad Arya Rifaldi; A.  Rahman

doi:10.53893/ijrvocas.v5i1.391

Authors

Selamet Muslimin Politeknik Negeri Sriwijaya
Muhammad Arya Rifaldi Politeknik Negeri Sriwijaya
A. Rahman Politeknik Negeri Sriwijaya

DOI:

https://doi.org/10.53893/ijrvocas.v5i1.391

Keywords:

Fast Charging, Capacitor bank, Ant Colony Optimization (ACO) Algorithm, Optimization, Energy Efficiency

Abstract

In the modern era, characterized by an increasing demand for mobility and energy efficiency, fast-charging
technology plays a crucial role. As the use of electronic devices and electric vehicles continues to rise, the need for more efficient
and energy-saving charging systems is also growing. One of the key components in these systems is the lead-acid battery and
capacitor bank, both of which have the ability to store and release energy quickly. Therefore, these components are essential in
enhancing the effectiveness of the charging process. However, a major challenge in fast charging systems is optimizing the
configuration of lead-acid batteries and capacitor banks to minimize charging time while reducing power losses during the
process. Addressing this challenge requires an intelligent approach to determining the optimal power distribution path to ensure
a stable and efficient charging process. This study utilizes the Ant Colony Optimization (ACO) algorithm to optimize the
configuration of lead-acid batteries and capacitor banks in a fast-charging system. The natural behavior of ant colonies inspires
the ACO algorithm to search for the shortest path to a food source. This method has been proven effective in solving various
complex optimization problems, including power distribution and energy charging. By implementing this algorithm, the system
can identify an optimal charging pattern, reducing voltage fluctuations and maximizing energy efficiency throughout the charging
process. The primary goal of this research is to develop a fast charging system that is more efficient, energy-saving, and capable
of operating optimally under various conditions. By optimizing the use of lead-acid batteries and capacitor banks through the
application of the ACO algorithm, this system is expected to accelerate the charging process without compromising reliability
and battery lifespan. The findings of this study are anticipated to contribute to the advancement of smarter charging technology,
supporting high mobility needs in the modern era, and providing a more sustainable solution for energy management.

Author Biographies

Selamet Muslimin, Politeknik Negeri Sriwijaya

Department of Electrical Engineering

Muhammad Arya Rifaldi, Politeknik Negeri Sriwijaya

Department of Electrical Engineering

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