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Journal : Vokasi UNESA Bulletin of Engineering, Technology and Applied Science

Design of Automatic Battery Charger Using Forward DC-DC Converter for Solar Home Energy Vidia Laksmi B, Nur; Muhammad Syahril Mubarok; Fithrotul Irda Amaliah; As’ad Shidqy Aziz; Daeng Rahmatullah; Dimas Herjuno; Habibi, Muhammad Afnan
Vokasi Unesa Bulletin of Engineering, Technology and Applied Science Vol. 2 No. 1 (2025)
Publisher : Universitas Negeri Surabaya or The State University of Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26740/vubeta.v2i1.35817

Abstract

The utilization of solar energy as a renewable and environmentally friendly energy source, which is inexhaustible, is an ideal solution to meet the growing demand for electricity. Solar Home Energy refers to a house powered by solar energy. The solar energy is subsequently stored in batteries using a battery charger. In this paper, a forward DC-DC converter is used as a battery charger to supply power to a self-sufficient house from solar energy, stored in a 96 V 45 Ah battery. A fuzzy logic controller is employed to regulate the output of the forward DC-DC converter, ensuring a constant charging voltage according to the set point. The output of this project is designed for 110 V 4.5 A; however, in practice, the forward DC-DC converter only achieved a charging voltage of 100.5 V, resulting in an error of 8.63% from the planned value. Additionally, the charging current reached 1.4 A, leading to a significant error of 63.89% from the planned charging current.
Monitoring battery charging using Node-RED Vidia Laksmi B, Nur; Muhammad Syahril Mubarok; Reza Rahmadian; Mahendra Widyartono; Ayusta Lukita Wardani; Aditya Chandra Hermawan
Vokasi Unesa Bulletin of Engineering, Technology and Applied Science Vol. 1 No. 1 (2024)
Publisher : Universitas Negeri Surabaya or The State University of Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26740/vubeta.v1i1.33917

Abstract

The need for a smart grid has been spurred by the growth of distributed generation, the aging of the current grid infrastructure, and the desire to alter networks. The development and enhancement of smart grid technology is significantly facilitated by the Internet of Things (IoT) technology. Batteries play a crucial role in the energy storage of electrical systems, including smart microgrids and electric vehicles. To enhance performance and prolong battery life, a Battery Monitoring System (BMS) is required to manage the energy storage process dynamics within the battery. Battery life prediction contributes to the consistent and efficient operation of battery-powered devices. This research presents battery charging monitoring using Nodered. Apart from that, the battery charging feature uses a cut-off concept. The cut off on the battery is to prevent the battery from over-discharging which can damage the battery and shorten its lifespan. This research carried out validation using 3 case studies on battery charging. Validation of measurements uses a comparison between the INA 219 sensor and a multimeter. From experiments, current testing from 3 case studies, it was found that the average difference in current sensor error was 0.19%.