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All Journal Mechatronics, Electrical Power, and Vehicular Technology Buletin Ilmiah Sarjana Teknik Elektro Vokasi UNESA Bulletin of Engineering, Technology and Applied Science
Muhammad Syahril Mubarok
Universitas Airlangga
Computer Science & IT Electrical & Electronics Engineering Engineering Mechanical Engineering Transportation

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Monitoring Battery Charging Using Node-RED Nur Vidia Laksmi B.; Muhammad Syahril Mubarok; Reza Rahmadian; Mahendra Widyartono; Ayusta Lukita Wardani; Aditya Chandra Hermawan; Muhammad Abdus Salam
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%.
Indirect Matrix Converter Based Synchronous Reluctance Motor Drive Systems using Model Predictive Control Nur Vidia Laksmi B.; Muhammad Syahril Mubarok; Widi Aribowo; Didik Purwanto; Jacob Raglend Isaac; Vugar Hacimahmud Abdullayev
Buletin Ilmiah Sarjana Teknik Elektro Vol. 8 No. 2 (2026): April
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/biste.v8i2.15222

Abstract

This paper proposes a speed control strategy of Synchronous Reluctance Motors (SynRM) using an Indirect Matrix Converter (IMC) combined with a finite model predictive speed control (MPSC) and PI current control. This control algoritm is chosen than fully PI in both loops due to improve overall system stability and dynamic response. The IMC architecture offers advantages such as compactness, bidirectional power flow, and the elimination of bulky passive components, making it ideal for efficient motor drive systems. The proposed control method employs predictive algorithm using augmented state variable and cost function minimization technique. In addition, PI controllers here using a pole-assignment method. Both proposed controls aim to guarantee stability and responsiveness for dynamic performances. The MATLAB/Simulink is used here to simulate the system, incorporating practical motor parameters and space vector modulation techniques. Simulation results show that the control algorithm attains satisfactory speed performance, with minimal steady-state error 0.47%, overshoot below 2%, and fast settling time under various load 0.035 seconds and speed profiles. Additionally, the system performs robustly under reversed and sinusoidal speed commands, demonstrating its effectiveness and suitability for real-world industrial applications also need to implement in the experiment for the future works.
Integration of a bidirectional cell in a quasi-Z-source inverter for CMV reduction and pure sinusoidal wave form Mohammad Imron Dwi Prasetyo; Muhammad Syahril Mubarok; Sofyan Muhammad Ilman; Misbahul Munir; Nur Vidia Laksmi B
Journal of Mechatronics, Electrical Power, and Vehicular Technology Vol 16, No 2 (2025)
Publisher : National Research and Innovation Agency

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55981/j.mev.2025.1100

Abstract

With the increasing global commitment to renewable energy sources like photovoltaics (PV), there is a critical need for high-efficiency and high-power-quality converter topologies. Traditional two-stage PV systems are often complex and introduce significant Common Mode Voltage (CMV), leading to issues like leakage currents, high electromagnetic interference, and safety concerns. This paper proposes the Integration of a Bidirectional Cell within a quasi-Z-Source Inverter (BC-qZSI) to achieve CMV Reduction in a single-stage power conversion setup. The BC acts as an active balancing and filtering element rather than solely a boosting stage, ensuring a continuous current mode and actively suppressing the high-frequency CMV components generated by the shoot-through states. The analytical mathematical expression of the proposed topology is derived to confirm its operation, voltage boost capability, and CMV characteristics. Ideal simulation results, performed using PSIM software, validate the derived expressions and demonstrate the effectiveness of the proposed design. The topology achieves a significant reduction in CMV, lowering its amplitude more than 90% compared to the conventional qZSI. Furthermore, the output waveform quality is excellent, yielding a Total Harmonic Distortion (THDv) of 2 %, which complies with the IEEE Std 519-2014 standard for acceptable waveform quality. These results confirm that the integrated BC-qZSI topology effectively mitigates CMV while maintaining high power quality and a single-stage architecture.
Co-Authors Aditya Chandra Hermawan Ayusta Lukita Wardani Didik Purwanto Ilman, Sofyan M. Jacob Raglend Isaac Mahendra Widyartono Misbahul Munir Mohammad Imron Dwi Prasetyo Muhammad Abdus Salam Nur Vidia Laksmi B Rahmadian, Reza Vugar Hacimahmud Abdullayev Widi Aribowo