Mechatronics, Electrical Power, and Vehicular Technology
Mechatronics, Electrical Power, and Vehicular Technology (hence MEV) is a journal aims to be a leading peer-reviewed platform and an authoritative source of information. We publish original research papers, review articles and case studies focused on mechatronics, electrical power, and vehicular technology as well as related topics. All papers are peer-reviewed by at least two referees. MEV is published and imprinted by Research Center for Electrical Power and Mechatronics - Indonesian Institute of Sciences and managed to be issued twice in every volume. For every edition, the online edition is published earlier than the print edition.
Articles
17 Documents
Search results for
, issue
"Vol 16, No 2 (2025)"
:
17 Documents
clear
<![CDATA[Real-time FFB ripeness detection using IoT-enabled YOLOv8n on Raspberry Pi 4 edge devices for precision agriculture ]]>
<![CDATA[Nurul Hazlina Noordin]]>;
<![CDATA[Rosdiyana Samad]]>;
<![CDATA[Abdul Haikal Abdul Malek]]>
<![CDATA[ Journal of Mechatronics, Electrical Power, and Vehicular Technology Vol 16, No 2 (2025) ]]>
Publisher : <![CDATA[National Research and Innovation Agency ]]>
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
|
DOI: 10.55981/j.mev.2025.1220
<![CDATA[This paper presents the development of an edge device for cost-effective implementation in agricultural environments. Experimental evaluations demonstrate accuracy and real-time performance, showcasing its potential for adoption in the industry. The proposed system provides a reliable tool for timely and accurate monitoring of fresh fruit bunch (FFB) ripeness, facilitating optimized crop management practices. The system employs the YOLOv8n model, renowned for its efficiency in real-time object detection tasks, and is adapted to run on the resource-constrained Raspberry Pi 4. To ensure seamless operation on edge devices, model optimization techniques such as quantization and hardware acceleration are implemented, enabling rapid decision-making based on live data feeds. A dataset comprising 4,194 annotated FFB images was utilized, with a [3,681:348:165] training-validation-test split. Performance evaluation demonstrated an average precision of 0.898 and a mean average precision (mAP) of 0.952. The system potentially enhances yield quality and sustainability while supporting data-driven decision-making in precision agriculture.]]>
<![CDATA[Enhanced outdoor localization of low-cost personal mobility vehicles using Extended Kalman Filter sensor fusion ]]>
<![CDATA[Vita Susanti]]>;
<![CDATA[Mohd Saiful Azimi Mahmud]]>;
<![CDATA[Roni Permana Saputra]]>
<![CDATA[ Journal of Mechatronics, Electrical Power, and Vehicular Technology Vol 16, No 2 (2025) ]]>
Publisher : <![CDATA[National Research and Innovation Agency ]]>
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
|
DOI: 10.55981/j.mev.2025.1294
<![CDATA[Personal mobility vehicles (PMVs) are gaining popularity for short urban trips, reducing car reliance and urban pollution. The development of autonomous PMVs heavily relies on accurate localization, often using the global positioning system (GPS) as a primary sensor. However, standard GPS suffers from poor accuracy, which requires data fusion with supplementary sensors to improve precision. This study presents a sensor fusion approach using low-cost, consumer-grade hardware to enhance the PMV localization. The fusion system integrates data from an inertial measurement unit (IMU) and wheel odometry with GPS, fusing them via Kalman Filter (KF) and Extended Kalman Filter (EKF) methods. A field experiment was conducted along a 67-meter route at velocities ranging from 0.25 to 1.23 m/s. Comparative analysis has shown that the EKF method consistently outperforms the standard KF, improving positioning accuracy by approximately 29 % and reducing the maximum deviation to a range of 1.8 m to 2.7 m across different velocities. The results have confirmed the EKF as an effective and reliable strategy for achieving high-precision localization with affordable sensors, a key step towards scalable autonomous navigation for PMVs.]]>
<![CDATA[Back Cover MEV Vol 16 Iss 2 ]]>
<![CDATA[Ghalya Pikra]]>
<![CDATA[ Journal of Mechatronics, Electrical Power, and Vehicular Technology Vol 16, No 2 (2025) ]]>
Publisher : <![CDATA[National Research and Innovation Agency ]]>
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
|
DOI: 10.55981/j.mev.2025.1400
<![CDATA[Design and implementation of a DC-DC buck converter with Type III compensator control ]]>
<![CDATA[Fahmizal Fahmizal]]>;
<![CDATA[Muhammad Rizal Sahiddin]]>;
<![CDATA[Priyo Herlambang]]>;
<![CDATA[Gibran Nabil Sentana]]>;
<![CDATA[Hari Maghfiroh]]>
<![CDATA[ Journal of Mechatronics, Electrical Power, and Vehicular Technology Vol 16, No 2 (2025) ]]>
Publisher : <![CDATA[National Research and Innovation Agency ]]>
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
|
DOI: 10.55981/j.mev.2025.1321
<![CDATA[This paper presents a low-cost hardware realization of a Type III compensated DC–DC buck converter with experimental validation under practical load conditions. The compensator is designed using MATLAB Bode plot analysis to achieve the target phase margin, and the resulting pole–zero configuration is verified through LTspice simulation before implementation on a microcontroller-based hardware prototype. Performance testing is conducted under both resistive and DC motor loads to evaluate improvements over an open-loop configuration. Experimental results show that the proposed closed-loop design significantly accelerates transient recovery, reducing settling time from 85–134 ms in the open-loop system to 0.39–5.2 ms in the compensated system, representing improvements of up to two orders of magnitude depending on the load. The closed-loop converter also achieves tighter steady-state regulation around 6 V and smaller effective voltage dips during load transients, confirming the effectiveness of the Type III compensator in enhancing both dynamic and steady-state performance. The implementation demonstrates a practical and cost-efficient approach for applying Type III compensation on low-cost hardware platforms suitable for educational and prototype-level power electronics applications.]]>
<![CDATA[Optimization of distributed generation placement in distribution network based on queen honey bee migration algorithm ]]>
<![CDATA[Alif Dhurrotul Fachriyyah]]>;
<![CDATA[Aripriharta Aripriharta]]>;
<![CDATA[Sujito Sujito]]>;
<![CDATA[Muchamad Wahyu Prasetyo]]>;
<![CDATA[Muhammad Cahyo Bagaskoro]]>;
<![CDATA[Norzanah binti Rosmin]]>;
<![CDATA[Saodah Omar]]>;
<![CDATA[Gwo Jiun Horng]]>
<![CDATA[ Journal of Mechatronics, Electrical Power, and Vehicular Technology Vol 16, No 2 (2025) ]]>
Publisher : <![CDATA[National Research and Innovation Agency ]]>
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
|
DOI: 10.55981/j.mev.2025.856
<![CDATA[In this research, an optimal distributed generation (DG) placement method for radial distribution systems based on queen honey bee migration (QHBM) and backward forward sweep (BFS) is presented. The suggested approach makes it possible to evaluate DG placement options in terms of branch currents, voltage profiles, and active power losses in a physically consistent manner. DG units are characterized as photovoltaic-based sources operating at unity power factor using an explicit net load formulation at the bus level, ensuring a clear interplay between DG injection and current-based load flows. Throughout the optimization process, a constraint-aware migration technique is employed to explicitly impose voltage limitations with the goal of minimizing overall active power losses while maintaining bus voltage magnitudes within allowable bounds. The proposed method was tested on an IEEE 69-bus radial distribution system to evaluate its performance. The results show that the placement of three DG units with a total installed capacity of approximately 2600 kW at buses 61, 64, and 17 produces a significant improvement in network operation. Under this arrangement, active power losses drop markedly from 224.4419 kW in the base condition to 72.7840 kW, corresponding to a reduction of 67.6 %. At the same time, the lowest bus voltage rises from 0.9104 p.u. to 0.9931 p.u., while voltage levels across the network consistently remain within the allowable range of 0.95–1.05 p.u. The study's findings suggest that QHBM-BFS can be used as a trustworthy and useful method for figuring out where DG should be placed in radial distribution systems.]]>
<![CDATA[MPPT algorithm based on modified remora optimization algorithm for photovoltaic systems under partial shading conditions ]]>
<![CDATA[Moh. Zaenal Efendi]]>;
<![CDATA[Akhmad Adnaurrosyid]]>;
<![CDATA[Muhammad Nizar Habibi]]>;
<![CDATA[Rachma Prilian Eviningsih]]>;
<![CDATA[Novie Ayub Windarko]]>;
<![CDATA[Mentari Putri Jati]]>
<![CDATA[ Journal of Mechatronics, Electrical Power, and Vehicular Technology Vol 16, No 2 (2025) ]]>
Publisher : <![CDATA[National Research and Innovation Agency ]]>
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
|
DOI: 10.55981/j.mev.2025.1257
<![CDATA[The increasing electricity demand, driven by the growing human population, has led to the need for efficient backup power sources. Solar panels are one of the renewable energy sources that have been widely developed because they only require solar energy as their primary source. However, the phenomenon of partial shading is often a problem in solar panels because it can reduce the output power of the solar panel system, which is caused by shadows from trees or clouds. In this condition, conventional maximum power point tracking (MPPT) algorithms are often limited to the local maximum power point (LMPP). To effectively attain the global maximum power point (GMPP), it is imperative to devise more efficient algorithms. The modified remora optimization algorithm (MROA) has been proposed as a potential solution to this challenge. MROA is an adaptation of the remora optimization algorithm (ROA), inspired by the behavior of remora fish. The results indicate that the algorithm achieves an average accuracy of approximately 99.13 % in both simulation and hardware implementations. Furthermore, when comparing the results of the MROA with those of the original ROA method and particle swarm optimization (PSO), the MROA exhibited superior accuracy, tracking time, and power gain, suggesting that the MROA algorithm effectively circumvents the limitation of the local maximum power point.]]>
<![CDATA[Integration of a bidirectional cell in a quasi-Z-source inverter for CMV reduction and pure sinusoidal wave form ]]>
<![CDATA[Mohammad Imron Dwi Prasetyo]]>;
<![CDATA[Muhammad Syahril Mubarok]]>;
<![CDATA[Sofyan Muhammad Ilman]]>;
<![CDATA[Misbahul Munir]]>;
<![CDATA[Nur Vidia Laksmi B]]>
<![CDATA[ Journal of Mechatronics, Electrical Power, and Vehicular Technology Vol 16, No 2 (2025) ]]>
Publisher : <![CDATA[National Research and Innovation Agency ]]>
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
|
DOI: 10.55981/j.mev.2025.1100
<![CDATA[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.]]>
<![CDATA[Front Cover MEV Vol 16 Iss 2 ]]>
<![CDATA[Ghalya Pikra]]>
<![CDATA[ Journal of Mechatronics, Electrical Power, and Vehicular Technology Vol 16, No 2 (2025) ]]>
Publisher : <![CDATA[National Research and Innovation Agency ]]>
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
|
DOI: 10.55981/j.mev.2025.1397
<![CDATA[Design and implementation of a synchronous buck DC–DC converter with incremental conductance MPPT for green hydrogen production via PEM electrolysis ]]>
<![CDATA[Novan Akhiriyanto]]>;
<![CDATA[Rizky Muhammad Afandi]]>
<![CDATA[ Journal of Mechatronics, Electrical Power, and Vehicular Technology Vol 16, No 2 (2025) ]]>
Publisher : <![CDATA[National Research and Innovation Agency ]]>
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
|
DOI: 10.55981/j.mev.2025.1119
<![CDATA[The integration of green hydrogen production systems with photovoltaic (PV) energy sources presents challenges due to voltage mismatches between commercial solar charge controllers and the required input of proton exchange membrane (PEM) electrolyzers. This study presents an experimental implementation of a maximum power point tracking (MPPT) module using the incremental conductance (INC) algorithm embedded in a parallel buck converter configuration. The objective is to supply a stable low-voltage, high-current input to a PEM electrolyzer from a solar-powered system. The system employs three parallel connected buck converters, each operating within a 3 V to 7 V range and capable of delivering up to 20 A and 60 W to 120 W per module. Combined, the converters manage a power range of 180 W to 360 W to match the electrolyzer’s requirements under variable irradiance. The MPPT algorithm actively adjusts duty cycles to maintain the PV panel’s output near its optimal power point, targeting 150 W to 210 W. Voltage, current, and power readings from both PV and converter sides are acquired in real time via PZEM-017 sensors. Testing was performed over a three-hour period during peak solar irradiance (10:40 AM–1:40 PM) to ensure observation within the maximum power window. The average output from the parallel buck converter was 4.36 V, 25.41 A, and 111.26 W, while the PV panel delivered 154.41 W. Real-world system efficiency ranged from 59.48 % to 70.04 %, with a peak potential of 72.05 %. These results confirm the viability of using a parallel buck converter controlled by INC MPPT to drive a PEM electrolyzer in green hydrogen applications. The findings also indicate opportunities to further enhance efficiency through system refinement and control optimization.]]>
<![CDATA[Design and performance of nutrient dosing control system for hydroponic chilli plant using fuzzy logic controller ]]>
<![CDATA[Haryo Prastono]]>;
<![CDATA[Mohamad Solahudin]]>;
<![CDATA[Supriyanto Supriyanto]]>
<![CDATA[ Journal of Mechatronics, Electrical Power, and Vehicular Technology Vol 16, No 2 (2025) ]]>
Publisher : <![CDATA[National Research and Innovation Agency ]]>
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
|
DOI: 10.55981/j.mev.2025.910
<![CDATA[The application of irrigation and nutrient provision is crucial for cultivating plants using hydroponic systems. This significance arises from the absence of natural nutrients in hydroponic growing media, which necessitates precise and tailored nutrient administration. This study aimed to discuss the design and construction of a nutrient dosing system employing both an on-off-based nutrient mixing control and a fuzzy logic-based fertigation control. Nutrient dosing system design entails establishing design criteria, functional and structural design, prototyping, programming, and testing. Performance testing involved a mixture of cocopeat and rice husk charcoal growing medium, with a 2-month-old chilli plant as the testing subject. The nutrient mixing control system resulted in a ready-to-use nutrient solution with a concentration of 1538.45 ppm, which slightly deviated from the 1500 ppm target. The total time required for nutrient mixing amounted to 3685.8 seconds. The calculations revealed a percentage error of 2.56 % for this nutrient mixing control system. The tested fertigation control system successfully maintained the moisture content of the growing medium within the available water zone with an error rate of 2.17 %. Observations over three days demonstrated that the control system activated fertigation processes twice daily, predominantly in the morning and evening. The total volume of fertigation administered ranged from 217 cm3 to 287 cm3 daily. All the components of the nutrient dosing system functioned effectively and performed well.]]>
