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Smart adaptive CC-CV charger with PSO-accelerated load identification and fuzzy duty-cycle regulation Indhana Sudiharto; Era Purwanto; Muhamad Milchan; Alifian Nur Rahmadika
International Journal of Power Electronics and Drive Systems (IJPEDS) Vol 17, No 2: June 2026
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijpeds.v17.i2.pp1045-1057

Abstract

This paper presents an adaptive constant-current/constant-voltage (CC-CV) charger architecture, meticulously designed to address a key challenge in smart chargers. This challenge involves recognizing various battery types and applying the appropriate charging profile expeditiously, without requiring user intervention. The system integrates a particle swarm optimization (PSO) algorithm for ultra-fast load identification with a Mamdani-type fuzzy logic controller for precise duty cycle regulation. The PSO mechanism is capable of determining the optimal initial duty cycle in less than 500 milliseconds. Subsequent to this preliminary initiation, the fuzzy logic controller guarantees the effectiveness of current and voltage regulation during the charging phases. The simulation results obtained from this study validate the system's robustness, as evidenced by the consistent maintenance of voltage ripple below ±0.06 V and current ripple below ±0.04 A. These findings demonstrate the efficacy of the proposed approach in achieving fast, stable, and safe multi-load battery charging. The chemistry-agnostic design of the battery pack is extendable to any battery pack following the CC-CV paradigm, making it highly suitable for practical applications that demand flexibility and high reliability.
Inovasi Teknologi Berbasis IoT dalam Pakan Ikan Otomatis dan Monitoring Kualitas Air Kolam untuk Ketahanan Budidaya Ikan Nila di Desa Krecek, Kediri Indhana Sudiharto; Suryono Suryono; Jonny Utomo; Luki Septya Mahendra; Ahmad Firyal Adila; Lucky Pradigta Setiya Raharja; Bayu Surindra
BUDIMAS : JURNAL PENGABDIAN MASYARAKAT Vol. 7 No. 3 (2025): BUDIMAS : Jurnal Pengabdian Masyarakat
Publisher : LPPM ITB AAS Indonesia Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29040/budimas.v7i3.18163

Abstract

Perkembangan teknologi informasi membuka peluang untuk meningkatkan efisiensi dalam berbagai bidang, termasuk budidaya ikan. Saat ini, pemberian pakan ikan dan penggantian air kolam pada budidaya ikan nila masih banyak dilakukan secara manual, yang kurang efektif karena sangat bergantung pada tenaga manusia. Untuk mengatasi hal ini, dirancang sebuah sistem otomatisasi berbasis Internet of Things (IoT) yang dapat memantau kualitas air kolam dan memberikan pakan ikan secara terjadwal. Sistem ini menggunakan mikrokontroler ESP32 yang dilengkapi modul WiFi, sensor turbidity untuk memantau kekeruhan air serta filterisasi air guna mempertahankan kekeruhan dalam batas 50 NTU, sensor ultrasonik untuk mendeteksi ketinggian air kolam, serta motor rotary/synchrone untuk mengontrol pembukaan dan penutupan katup pakan. Seluruh sistem dapat dimonitor dan dikendalikan melalui aplikasi, maupun website. Dengan adanya sistem ini, pemelihara ikan dapat memastikan pemberian pakan secara teratur yang dilengkapi dengan indikator stok pakan dan riwayat pemberian pakan serta memantau kualitas air kolam secara real-time, bahkan dari jarak jauh selama terdapat akses internet. Sistem ini diharapkan dapat meningkatkan efisiensi dan produktivitas budidaya ikan nila di Desa Krecek, Kecamatan Badas, Kabupaten Kediri.
Solar Cell Energy Utilization Using SEPIC Converter with Fuzzy Logic Control for Electric Stove Indhana Sudiharto; Suryono Suryono; Ahmad Firyal Adila; Anang Budikarso
Journal of Electrical Engineering and Computer (JEECOM) Vol 7, No 2 (2025)
Publisher : Universitas Nurul Jadid

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33650/jeecom.v7i2.12703

Abstract

In this modern era, most household appliances require electrical energy as an energy source. The use of energy in large and sustainable amounts will cause an energy crisis. Where fossil fuels will run out and cannot be renewed. Therefore, renewable alternative energy is needed that can be used as an energy substitute for one of the solutions. One of the alternative energies is solar cell energy that to supply the energy needs of electric stoves. This study discusses photovoltaic system that use 10 solar cells each with a power of 100 WP and 90 VDC. The electrical energy generated from the solar cell is 1000 WP. From the solar cell, the voltage is increased using a Single-Ended Primary-Inductor Converter (SEPIC) converter and controlled using Fuzzy Logic Control (FLC). The output voltage is used to meet the power needs of an electric stove with a maximum power of 650 W which has an average efficiency of 93%.
Combination whale optimization algorithm and fuzzy logic for optimal design battery charging LiFePO₄ Indhana Sudiharto; Mochammad Machmud Rifadil; Ajeng Amelia Veganesa
International Journal of Power Electronics and Drive Systems (IJPEDS) Vol 17, No 3: September 2026
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijpeds.v17.i3.pp1994-2003

Abstract

This research proposes an optimized charging strategy for lithium iron phosphate (LiFePO₄) batteries by integrating the whale optimization algorithm (WOA) with a fuzzy logic controller (FLC) for adaptive constant current-constant voltage charging. The method addresses the limitations of conventional CC-CV charging, which uses fixed parameters and has limited adaptability to changing operating conditions. WOA automatically optimizes the FLC scaling factors to improve control performance and system responsiveness. The WOA-fuzzy and WOA-PI models were trained using 226 samples of initial current and voltage data. The system was evaluated in PSIM by comparing fuzzy, PI, WOA-PI, and WOA-fuzzy controllers. Open-loop simulation produced an average voltage error of 1.29%, confirming the need for closed-loop control. Under SOC conditions ranging from 30% to 97%, all controllers maintained the charging voltage near 73 V and the charging current around 10 A. The average voltage errors were 0.6635% for PI, 0.6684% for fuzzy, 0.6618% for WOA-PI, and 0.6601% for WOA-fuzzy. Hardware testing confirmed these results, with average errors of 0.14% for WOA-fuzzy and 0.31% for WOA-PI. Overall, WOA-fuzzy provides stable charging, faster convergence, and improved charging performance.
Co-Authors Achmad Luki Satriawan Ahmad Firyal Adila Ajeng Amelia Veganesa Alifian Nur Rahmadika Amsyar, Aidin Amsyar, Aidin Anang Budikarso Anang Budikarso, Anang Anang Tjahjono, Anang Andraeni, Azzahra Farah Arman Jaya Ayu Wulandari Ayu Wulandari Bayu Surindra Deriz Caesar Okinanto Diah Septi Yanaratri Dimas Okky Anggriawan Donny Prasetyo Santoso Eka Prasetyono, Eka Endro Wahjono Endro Wahjono, Endro ENI WULANDARI Epyk Sunarno Era Purwanto Fahmi Naufala Mumtaz Farid Dwi Murdianto Ferdiansyah, Indra Firdaus, Aji Akbar Fitria Devi, Safira Gigih Prabowo Habibi, Muhammad Nizar Hartono, Helleina Rejeki Putri Hendik Eko H Suharyanto Imam Dui Agusalim Irianto Irianto Jonny Utomo Jufriyadi, Mohammad Karso, Anang Budi Lavia Isnani Lucky Pradigta Setiya Raharja Lugiana Nur Fitriah Rhamadani Lugiana Luki Septya Mahendra Mahbub Gusti Muhammad Mentari Putri Jati Milchan, Muhamad Moch. Igam Rahadyan MOCHAMAD ARI BAGUS NUGROHO Mochammad Machmud Rifadil Mufa’ary, Neily Itsqiyah Muhamad Milchan Mumtaz, Fahmi Naufala Nismayanti, Nila Nanda Nizar Habibi, Muhammad Nizar, Ahmad Hisam Nugroho, Mochammad Ari Bagus Ony Asrarul Qudsi Ony Qudsi Pratama, Rafiif Ariesandi Rola Putri, Berliana Rahma Putu Agus Mahadi Putra Qudsi, Ony Qudsi, Ony Asrarul Rachma Prilian Eviningsih Rachma Prilian Eviningsih, Rachma Prilian Rakhmawati, Renny Rifadil, Mochammad Machmud Romadhoni, Muhammad Fauzi Rusli, Muhammad Rizani Sasetyo, Muhammad Yudha Suhariningsih Suhariningsih Suryono Suryono Suryono Sutedjo Syahrin, Ahmad Alvi Taufika, Putri Widyasavitta, Vena Chika Yahya Chusna Arif Yanaratri, Diah Septi Yolanita, Dian Zaenal Efendi, Mohammad Zulfa, Wildana