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All Journal International Journal of Power Electronics and Drive Systems (IJPEDS) Journal of Electrical, Electronic, Information, and Communication Technology (JEEICT) Mechanical Engineering for Society and Industry Automotive Experiences
Mufti Reza Aulia Putra
Universitas Sebelas Maret
Aerospace Engineering Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Energy Engineering Industrial & Manufacturing Engineering Materials Science & Nanotechnology Mechanical Engineering Transportation

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Design of eddy current brake for electric motorcycle braking system Mufti Reza Aulia Putra; Muhammad Nizam; Dominicus Danardono Dwi Prija Tjahjana
International Journal of Power Electronics and Drive Systems (IJPEDS) Vol 12, No 1: March 2021
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijpeds.v12.i1.pp41-50

Abstract

Braking systems in motor vehicles generally use a braking system that utilizes friction. The braking performance will decrease caused by using friction rapidly. To overcome this, as an alternative, an electromagnetic braking system can be used by utilizing eddy currents, such as eddy current brakes (ECB). Eddy currents are generated when the rotor pass the magnetic field of the electromagnet. The research aim is to design an ECB system. The performance of the disk design will be determined in this study. The study is about the tendency of the ECB properties. The finite element (FEM) method is used by modeling ECB performance. The experimental results were used to validate the result. The test showed the results of braking using aluminum disk showed the best performance in 12.03 Nm. From these results, the combination of the disks is needed by an appropriate disk design.
Axial Unipolar Eddy Current Brake Performance Characteristics Against Heat Increase in Rotor Mufti Reza Aulia Putra; Dominicus Danardono Dwi Prija Tjahjana; Muhammad Nizam; Zainal Arifin; Bhre Wangsa Lenggana; Inayati Inayati
Automotive Experiences Vol. 6 No. 1 (2023)
Publisher : Universitas Muhammadiyah Magelang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31603/ae.7431

Abstract

The development of transportation technology in the automotive sector such as electric vehicles is increasingly advanced. One technology that is needed quite a lot is the development of supporting technology for electric vehicle braking. The use of regenerative braking on light electric vehicles such as 2-wheeled vehicles is not efficient because of its low weight. The use of Eddy Current Brake (ECB) can be a solution for braking support needs. This is because the ECB is a braking system that has the advantage of a lightweight design but still relies on the frictionless principle. However, in addition to its advantages, the eddy current brake is still in the early stages of its research with efficiency that still needs to be developed. In the discussion of the ECB, heat generation is one of the interesting topics to be discussed. Specifically, the study of the characteristics of the unipolar ECB axial performance on heat generation events has not yet been discussed. So this article aims to discuss these events with a simulation process and simple mathematical calculations. Design optimization is done to get the best value. As a result, the use of eddy current brakes with conductor disks using slots, can improve the performance of the ECB on the torque side and cooling side. Thus, this article is a good contribution to the sustainability of ECB research in both the general and automotive fields.
Robust SVM optimization using PSO and ACO for accurate lithium-ion battery health monitoring Mufti Reza Aulia Putra; Muhammad Nizam; Agus Mujianto; Feri Adriyanto; Henry Probo Santoso; Arif Nur Afandi; Indar Chaerah Gunadin
Mechanical Engineering for Society and Industry Vol 5 No 1 (2025)
Publisher : Universitas Muhammadiyah Magelang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31603/mesi.12280

Abstract

The increasing demand for reliable lithium-ion battery in various applications is focused on the need for accurate State of Health (SOH) predictions to prevent performance degradation and potential safety risks. Therefore, this research aimed to improve the accuracy of SOH prediction by integrating Particle Swarm Optimization (PSO) and Ant Colony Optimization (ACO) with Support Vector Machine (SVM) to overcome the overfitting problem in traditional machine learning models. The dataset used consisted of data from 1000 cycles of lithium-ion battery, collected under laboratory conditions. Data from lithium-ion battery cycles were analyzed using optimized PSO-SVM and ACO-SVM models. These models were evaluated using Mean Square Error (MSE) and Root Mean Square Error (RMSE) metrics, showing significant improvements in prediction accuracy and model generalization. The results showed that although both optimized models were superior to the baseline SVM, PSO-SVM had higher generalization performance during testing. The higher performance was due to the effective balance between exploring the search space and exploiting optimal solutions, making it more suitable for real-world applications. In comparison, ACO-SVM showed superior performance in training data accuracy but was more prone to overfitting, suggesting the potential for scenarios prioritizing high training accuracy. These results could be applied to extend the lifespan of lithium-ion battery, contributing to enhanced reliability and cost-effectiveness in applications.
Hybrid Catenary-Battery Trains for Non-Electrified Sections and Emergency Use Muhammad Nizam; Hari Maghfiroh; Mufti Reza Aulia Putra; Anif Jamaluddin; Inayati Inayati
Automotive Experiences Vol. 8 No. 2 (2025)
Publisher : Universitas Muhammadiyah Magelang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31603/ae.13440

Abstract

The hybrid catenary”“battery system offers a promising solution for railways operating in non-electrified sections and during emergencies, ensuring uninterrupted operation, enhanced safety, environmental sustainability, and cost efficiency. This study addresses the challenge of determining an appropriate battery size and introduces a novel rule-based Energy Management Strategy (EMS) with coasting mode to minimize energy consumption while meeting operational requirements. The novelty of this work lies in (i) a straightforward sizing method based on worst-case emergency scenarios and (ii) the integration of coasting-mode operation into a rule-based EMS for hybrid catenary”“battery trains. Simulation results show that the proposed approach achieves up to 12.56% energy savings on 3% gradient tracks while fully supplying auxiliary loads, compared with baseline operation that provides only partial coverage. These results demonstrate a practical and scalable framework for designing efficient, reliable, and resilient railway transport systems.
Performance Analysis and Characterization Hybrid Two Wheeller Vehicle with Using a Chassis Dynamometer Julian Fikri Arifwardana; Dominicus Danardono Dwi Prija Tjahjana; Muhammad Nizam; Ihsan Pratama Rushadiawan; Mufti Reza Aulia Putra
Journal of Electrical, Electronic, Information, and Communication Technology Vol 6, No 2 (2024): JOURNAL OF ELECTRICAL, ELECTRONIC, INFORMATION, AND COMMUNICATION TECHNOLOGY
Publisher : Universitas Sebelas Maret (UNS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20961/jeeict.6.2.92487

Abstract

The extraordinary growth in means of transportation, especially vehicles with internal combustion engines, has made state laws and regulations increasingly stringent. Regulations regarding energy consumption used for passenger and personal mobility and the emissions produced in order to reduce pollution. A hybrid vehicle combines two energies produced from various sources such as an ICE and an electric motor to become a hybrid electric vehicle (HEV). This research discusses hybrid electric vehicles on 2-wheeled vehicles which can be used as a solution that can be developed further before pure electric vehicles (EV) replace motorized vehicles (ICE). This research was done experimentally, by carrying out tests on a dynamometer and on the road testing. The main material used in this research was a Honda PCX 150 vehicle. The results of the test on the dynamometer showed that the performance of the internal combustion engine (ICE) had a torque of 11.12 Nm and a power of 8.20 kW at 7000 rpm. Testing the electric motor (EV), obtained torque results of 11.7 Nm and 2.33 kW power. The road test results for internal combustion engine consumption to consume 1 liter of fuel, capable of covering a distance of 54.55 km. Electricity consumption from 100% to 0% SOC can cover a distance of 46.31 km. Hybrid consumption 1 liter of fuel and battery full 100% capable of covering a distance 57.79 km, with battery condition reduced 16%.
Experimental Study of Lithium-ion Battery Performance Based on Mini-channel Cooling Plate Ihsan Pratama Rushadiawan; Dominicus Danardono Dwi Prija Tjahjana; Muhammad Nizam; Julian Fikri Arifwardana; Mufti Reza Aulia Putra
Journal of Electrical, Electronic, Information, and Communication Technology Vol 6, No 2 (2024): JOURNAL OF ELECTRICAL, ELECTRONIC, INFORMATION, AND COMMUNICATION TECHNOLOGY
Publisher : Universitas Sebelas Maret (UNS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20961/jeeict.6.2.92488

Abstract

Making efficient batteries is important nowadays. One potential problem that can hinder this is the thermal runaway that occurs in battery cells. There are various causes of thermal runaway, one of the most common is an increase in temperature that exceeds the optimal allowable limit. Additional cooling will be required in vehicles that use batteries. Battery Thermal Management System (BTMS) with mini-channel cooling plate is one of the methods often used to maintain battery performance. In this study, the performance of Lithium-ion batteries is affected by fluid flow velocity. The experimental process was carried out by charging and discharging with a C-rate of 1C. Cooling is done with ethylene glycol fluid with fluid velocity variations of 0.21 L/min; 0.42 L/min and 0.63 L/min. The results show that fluid flow velocity affects the final battery temperature and battery performance. The optimal fluid velocity is shown at 4.2 L/min. At this speed it can reduce the battery temperature by 6.7°C.
Co-Authors Agus Mujianto Anif Jamaluddin Arif Nur Afandi Bhre Wangsa Lenggana Danardono Dwi Prija Tjahjana, Dominicus Feri Adriyanto Hari Maghfiroh Henry Probo Santoso Ihsan Pratama Rushadiawan Inayati Inayati Indar Chaerah Gunadin Julian Fikri Arifwardana Muhammad Nizam Zainal Arifin