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Agus Purwadi
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National Center for Sustainable Transportation Technology Gd. CRCS lt. 2, Institut Teknologi Bandung, Jl. Ganesha No.10, Lb. Siliwangi, Kecamatan Coblong, Kota Bandung, Jawa Barat 40132
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International Journal of Sustainable Transportation Technology
Published by Institut Teknologi Bandung
ISSN : 26557975     EISSN : 26204754     DOI : 10.31427/IJSTT
Core Subject : Engineering,
Automotive Engineering Control & Systems Engineering Engineering Industrial & Manufacturing Engineering Transportation
Aim IJSTT is an innovative open access journal for high-quality research in transportation and infrastructure system by focusing particularly on interdisciplinary and multidisciplinary research. IJSTT welcomes submissions from all disciplines, including physics, chemistry, engineering and related fields. The journal represents a community-oriented approach to communicating science driven by the needs of scientists and aims to facilitate the flow of knowledge between and beyond these communities. Scope This journal seeks articles related to the transportation and infrastructure technology. Its scope will include the following topics (but not limited to): 1. Transportation and infrastructure system 2. Electrical and combustion vehicle system 3. Transportation and infrastructure safety 4. Socio-economic and environmental impact of transportation policy 5. Manufacturing and supply chain process in automotive industries 6. Computational materials science and modelling 7. Design and construction for transportation system and such other topics as the Editors may deem appropriate. Articles need to make a significant contribution to the theoretical and or methodological literature on the subject and contain a strong knowledge component. IJSTT welcomes submissions of the following article types: Short communication paper (Letters), Technical Paper, Original Research Paper and Topical Reviews.
Arjuna Subject : Teknik (semua kategori) - Teknik (Lain-Lain)
Articles 44 Documents
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Battery Cells for Electric Vehicles Halimah, Putri; Rahardian, Samuel; Budiman, Bentang
http://dx.doi.org/10.31427/IJSTT.2019.2.2.3
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Abstract

The shifting trend of conventional to the electric drivetrain in automotive industries makes batteries become the most favorable energy storage. There are three types of battery cells that are commonly used for electric vehicles i.e., cylindrical cells, pouch cells, and prismatic cells. The use of active material such as lithium-ion in the battery of electric vehicles could bring some issues related to the safety field. For that reason, comprehensive research on battery failure analysis needs to be conducted. This paper reviews the recent progress of the use of battery cells in electric vehicles and some challenges which must be considered to assure their safety. There are a lot of studies on battery failure analysis, which mainly focuses on the appearance of a short circuit as the main cause of the thermal runaway event. Several proposals on predicting short circuits in the battery due to various loading are comprehensively discussed. Those research results can be considered to establish regulations in designing battery protectors.
Optimal Power Flow with Considering Voltage Stability using Chaotic Firefly Algorithm Priyanto, Yun; Mudeng, Vicky; Robith, Muhammad
http://dx.doi.org/10.31427/IJSTT.2019.2.1.1
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Abstract

In transportation technology, the development of electric vehicle is growing rapidly. In the future, the availability of electrical power is crucial because every electric tool needs electrical power. Power plant must provide electrical power for all consumer include an electric vehicle. Sustainability of electrical power transmission and distribution must be considered as critical due to its high power consumption in the community. One of the problem to supply electrical power is how to keep the system’s voltage stability. Several variations on the load pattern and topological can lead to a substantial poor impact on the system. However, generation cost must be considered by utilities’ operator. This paper demonstrates a recently developed metaheuristic method called Chaotic Firefly Algorithm (CFA). Our simulation shows that this method may perform better than several well-known metaheuristic methods. Therefore, CFA may become a promising method to solve optimal power flow considering voltage stability cases.
Influence of Braking Strategies for Electric Trike Energy Consumption Islameka, Metha; Kusuma, Christopher; Budiman, Bentang
http://dx.doi.org/10.31427/IJSTT.2020.3.1.4
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Abstract

This research aims to investigate the effect of applying braking strategies to the energy consumption of electric trike (e-trike). E-trike is a three-wheeled vehicle that is designed for goods delivery. A simulation is carried out to find the specific electric energy consumption in terms of km/kWh. The simulation is conducted by developing an energy consumption model using Matlab/Simulink software. The input data used in the simulation is obtained from the e-trike specification designed by Institut Teknologi Bandung (ITB) researchers. The output is the battery State of Charge (SOC) and energy required for the Worldwide Harmonized Light Vehicle Test Procedure (WLTP) driving cycle. Four different braking strategies are implemented in the simulation, namely full mechanical braking, serial regenerative braking, parallel regenerative braking, and modified braking strategies. The simulation results show that by applying the modified braking strategy, greater savings of energy can be achieved. Full mechanical braking strategy can achieve energy savings of 19.2 km/kWh whereas the modified braking strategy generates 20 km/kWh. These results indicate that the application of modified braking strategies can significantly increase the e-trike mileage.
An Innovative Design of Magnetorheological Lateral Damper for Secondary Suspension of a Train Masa'id, Aji; Ubaidillah, Ubaidillah; Lenggana, Bhre; Muhayat, Nurul; Wibowo, Wibowo; Mazlan, Saiful
http://dx.doi.org/10.31427/IJSTT.2019.2.2.2
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Abstract

This article delivered an innovative idea of a magnetorheological (MR) damper for secondary suspension of train bogie. The valve inside MR damper adopted meandering of both fluid flow and magnetic flux for improving magnetization area. In this work, the design and working principle of the MR valve were presented including a mathematical model to predict the pressure drop. In the early stage, the finite element method magnetics software (FEMM) simulation could predict the magnetic flux density across the passages. Based on the amount of magnetic flux, the corresponding shear yield stress could be determined from its basic physical properties. The mathematical model covered pressure drop prediction for both off-state and on-state. The FEMM simulation results showed that the meandering flow and serpentine flux design could improve the effective area of magnetization. Consequently, the pressure drop of the valve could have wider ranges and achieve a high value of pressure differences. This result could be potentially improving the performance of the damping forces of the lateral damper in a bogie train.
Review of Switched Reluctance Motor Control for Acoustic Noise and Vibration Reduction Furqani, Jihad; Purwadi, Agus
http://dx.doi.org/10.31427/IJSTT.2018.1.2.4
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Abstract

Switched Reluctance Motor (SRM) is one of the candidates for substituting permanent magnet motor in Hybrid Electric Vehicle (HEV) application. Compared to permanent magnet motor, SRM is relatively low cost, robust, high reliability, and possible for high-temperature operation because of the absence of permanent magnet. One significant problem in SRM is the high acoustic noise and vibration. The vibration in SRM is caused by the radial forces acting at the stator teeth. Because of the saliency pole configuration in SRM, vibration is prominent. Many studies tried to reduce acoustic noise and vibration in SRM. In this paper, several controls for acoustic noise and vibration reduction are shown. The acoustic noise and vibration reduction from the experiment are also compared in each method.
Structural Optimizations of a 12/8 Switched Reluctance Motor using a Genetic Algorithm Sholahuddin, Umar; Purwadi, Agus; Haroen, Yanuarsyah
http://dx.doi.org/10.31427/IJSTT.2018.1.1.5
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Abstract

Structural design optimization of 12/8 switched reluctance motor using single objectives genetic algorithms is explored. The objective of this optimization is to maximize the output torque using four parameters, namely rotor width of tooth root, rotor width of tooth tip, half of stator tooth width, and stator outer diameter. The result is the optimized motor has higher average torque of 25% compared to the initial design. The evaluation of motor model is finite element method. The 12/8 switched reluctance motor will be applied in a mini electric vehicle.
Effect of Curing Current on Stiffness and Damping Properties of Magnetorheological Elastomers Hapipi, Norhiwani; Mazlan, Saiful; Aziz, Siti; Ubaidillah, Ubaidillah; Mohamad, Norzilawati; Yazid, Izyan; Choi, Seung-Bok
http://dx.doi.org/10.31427/IJSTT.2018.1.2.3
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Abstract

In this study, the viscoelastic effects of the magnetic field strength imposed for curing process on the stiffness and damping properties of magnetorheological elastomers (MREs) are experimentally investigated. In order to observe the effect, three different samples of MRE are fabricated by imposing curing current of 0.1 A, 0.3 A and 0.5 A which is equivalent to the magnetic field of 70 mT, 309 mT, and 345 mT, respectively. All samples consist of 30% silicone rubber and 70% carbonyl iron particles (CIPs) by weight percentages. After observing the morphological images via SEM, the dynamic performances of these samples, such as storage modulus and loss factor are evaluated and compared as a function of the magnetic field intensity or oscillation frequency. It is shown that the sample cured at 0.5A exhibits the highest storage modulus in the frequency domain. In addition, MR effects of three samples are identified, and it is found that the sample cured at 0.5A shows the highest absolute and relative MR effect.
Evaluation of Motorcycle Energy Consumption in Urban Traffic Pance, Stepan; Piskac, Daniel; Bures, Adam; Voldrich, Antonin; Kovac, Maros; Budiman, Bentang
http://dx.doi.org/10.31427/IJSTT.2019.2.1.4
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Abstract

This paper aims to evaluate the energy consumption of motorcycle operating in urban traffic. Position, speed, and elevation in each time segment are collected by GPS - tracking data from the journey of motorcycle Honda Verza 150 in Bandung city. The distance, acceleration, and required tractive force for the motorcycle motion are then calculated. Furthermore, the energy consumption is investigated by modeling the motorcycle and calculating tractive force from the force equilibrium. For each time segment, engaged gear is then proposed for the best energy efficiency. The relationship among speed, required tractive force, and shifted gear according to time and distance are comprehensively discussed.
Train Localization using Unscented Kalman Filter–Based Sensor Fusion Faruqi, Ismail; Waluya, Muhammad; Nazaruddin, Yul; Tamba, Tua
http://dx.doi.org/10.31427/IJSTT.2018.1.2.1
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Abstract

This paper presents an application of sensor fusion methods based on Unscented Kalman filter (UKF) technique for solving train localization problem in rail systems. The paper first reports the development of a laboratory-scale rail system simulator which is equipped with various onboard and wayside sensors that are used to detect and locate the train vehicle movements in the rail track. Due to the low precision measurement data obtained by each individual sensor, a sensor fusion method based on the UKF technique is implemented to fuse the measurement data from several sensors. Experimental results which demonstrate the effectiveness of the proposed UKF-based sensor fusion method for solving the train localization problem is also reported.
Mapping of Inbound Flows in Supply Chain of Lithium-ion Industry in Indonesia Sutopo, Wahyudi; Zakaria, Roni; Wardayanti, Ari; Fahma, Fakhrina
http://dx.doi.org/10.31427/IJSTT.2018.1.1.3
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Abstract

The demand for lithium battery is currently high from the consumer side due to the widespread application of lithium-ion battery for electronics (laptops, notebooks, mobile phones, street lighting) and electric vehicles (electric cars and electric motors). In Indonesia, the research and industrialization on lithium-ion battery have been conducted to develop products such as for electric vehicles and street lighting. On the other hand, the relationship between suppliers, producers, distribution channels, and consumers has not been mapped. This mapping is intended to provide an overview of the strength of suppliers, involved manufacturers, and to determine the readiness of the value chain of lithium-ion battery to perform mass production. The approach in the mapping uses primary data and secondary data for the initial stage of inbound flows in supply chain of lithium-ion industry in Indonesia. Primary data are obtained from the questionnaires, which adopted from the value chain lithium-ion battery research in USA adjusted for Indonesian context. Meanwhile, the secondary data derived from literature reviews. The respondents in the study are 11 institutions consisting of manufacturers and R&D of lithium-ion battery in Indonesia. The results obtained are supplier mapping that provides the flow of lithium-ion battery, cell, module, and pack as well as the producers and consumers. The results could also be utilized to identify the valuable metrics in the supply chain of lithium battery industry.

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