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
596 Documents
<![CDATA[Direction and Policies Needed to Support Hybrid Electric Car Research ]]>
<![CDATA[Subekti, Ridwan Arief]]>;
<![CDATA[Hartanto, Agus]]>;
<![CDATA[Susanti, Vita]]>
<![CDATA[ Journal of Mechatronics, Electrical Power and Vehicular Technology Vol 3, No 1 (2012) ]]>
Publisher : <![CDATA[Research Centre for Electrical Power and Mechatronics, Indonesian Istitutes of Sciences ]]>
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DOI: 10.14203/j.mev.2012.v3.1-8
<![CDATA[The rising number of vehicles over the years has driven the increase of air pollution and fuel consumption. One of the solutions to overcome this problem is using hybrid electric car because it is environmentally friendly and efficient in fuel consumption. LIPI has conducted electric car research since 1997, but there were so many problems in its development that electric car can not be developed into a national industry scale. Therefore, it is important to conduct a study that maps the problems and finds the solutions to prevent the same failure of electric car commercialization process from happening to hybrid electric car . This study was done by collecting and analyzing the primary and secondary data through interviews, discussing electric hybrid car with stakeholders, and examining earlier study results and regulations. Based on this study, several policies to support sustainability research of hybrid electric car were proposed. Some recommendations were the making of national roadmap and regulation for the usage of hybrid electric car on the road. For policy makers at LIPI, a research focus, research coordination, and pre-commercialization program were recommended.]]>
<![CDATA[Frequency stability improvement of micro hydro power system using hybrid SMES and CES based on Cuckoo search algorithm ]]>
<![CDATA[Djalal, Muhammad Ruswandi]]>;
<![CDATA[Setiadi, Herlambang]]>;
<![CDATA[Imran, Andi]]>
<![CDATA[ Journal of Mechatronics, Electrical Power and Vehicular Technology Vol 8, No 2 (2017) ]]>
Publisher : <![CDATA[Research Centre for Electrical Power and Mechatronics, Indonesian Istitutes of Sciences ]]>
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DOI: 10.14203/j.mev.2017.v8.76-84
<![CDATA[Micro hydro has been chosen because it has advantages both economically, technically and as well as in terms of environmental friendliness. Micro hydro is suitable to be used in areas that difficult to be reached by the grid. Problems that often occur in the micro hydro system are not the constant rotation of the generator that caused by a change in load demand of the consumer. Thus causing frequency fluctuations in the system that can lead to damage both in the plant and in terms of consumer electrical appliances. The appropriate control technology should be taken to support the optimum performance of micro hydro. Therefore, this study will discuss a strategy of load frequency control by using Energy Storage. Superconducting magnetic energy storage (SMES) and capacitor energy storage (CES) are devices that can store energy in the form of a fast magnetic field in the superconducting coil. For the optimum performance, it is necessary to get the optimum tuning of SMES and CES parameters. The artificial intelligence methods, Cuckoo Search Algorithm (CSA) are used to obtain the optimum parameters in the micro hydro system. The simulation results show that the application of the CSA that use to tune the parameters of hybrid SMES-CES-PID can reduce overshoot oscillation of frequency response in micro hydro power plant.]]>
<![CDATA[Preface MEV Vol 4 Iss 1 ]]>
<![CDATA[Muharam, Aam]]>
<![CDATA[ Journal of Mechatronics, Electrical Power and Vehicular Technology Vol 4, No 1 (2013) ]]>
Publisher : <![CDATA[Research Centre for Electrical Power and Mechatronics, Indonesian Istitutes of Sciences ]]>
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DOI: 10.14203/j.mev.2013.v4.%p
<![CDATA[Smart grid photovoltaic system pilot scale using sunlight intensity and state of charge (SoC) battery based on Mamdani fuzzy logic control ]]>
<![CDATA[Faqih, Kamil]]>;
<![CDATA[Primadi, Wahyu]]>;
<![CDATA[Handayani, Anik Nur]]>;
<![CDATA[Priharta, Ari]]>;
<![CDATA[Arai, Kohei]]>
<![CDATA[ Journal of Mechatronics, Electrical Power and Vehicular Technology Vol 10, No 1 (2019) ]]>
Publisher : <![CDATA[Research Centre for Electrical Power and Mechatronics, Indonesian Istitutes of Sciences ]]>
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DOI: 10.14203/j.mev.2019.v10.36-47
<![CDATA[The Utilization of renewable energy such as a photovoltaic system is the foremost alternative in transfers generated by conventional power plants, but the lack of photovoltaics is support for light intensity. The purpose of this research is to develop a pilot-scale smart grid photovoltaic system that can regulate the supply of electrical energy from either the battery or the power supply. The control system in this study uses the Mamdani fuzzy logic method in determining automatic system performance. This system monitors the intensity of light and battery which are then used as automatic safety parameters on the power supply, battery, and photovoltaic. The results of this study display the indicator results from the microcontroller in supplying electrical energy for the use of electrical loads, Power Supply has been served the load when the battery is in a low state which have a voltage <11 Volts, the battery has been served the load when the condition of the battery is in a medium and high condition which has a voltage of 11.5 <; ....; <13 Volts. PV has been served batteries or loads when the light intensity is cloudy and bright which have a light intensity of 3585 <; ...; <10752 Lux. This system can reduce dependence on conventional energy without reducing the quality of the energy supply at load and Photovoltaic system dependence on light intensity does not affect the supply of energy consumption to electrical loads.]]>
<![CDATA[Design and Development of RC Railed Robot for Coffee Nursery Logistics ]]>
<![CDATA[Dizon, Marivic Gatan]]>;
<![CDATA[Sevillano, Carlo Tan]]>;
<![CDATA[Cabaluna, Mark Anthony Timanel]]>
<![CDATA[ Journal of Mechatronics, Electrical Power and Vehicular Technology Vol 5, No 2 (2014) ]]>
Publisher : <![CDATA[Research Centre for Electrical Power and Mechatronics, Indonesian Istitutes of Sciences ]]>
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DOI: 10.14203/j.mev.2014.v5.107-114
<![CDATA[The Remote Controlled (RC) Railed Robot was designed and developed to transfer polybags from manual operation to an automated logistic system. Gizduino microcontroller was used to read and interpret commands sent and received by the transceivers to the robot and a remote to command instructions to the robot.The project was tested and evaluated at the Coffee Nursery of Cavite State University by determining the speed of the robot, the effectiveness of the remote control and the accuracy of the robot to lift a pallet and place it into an empty space.Results showed that the robot was able to receive and interpret commands provided by the remote control as well as perform the tasks successfully.The most significant recommendation was to use a counterweight at the rear side of the robot to avoid unnecessary derailments of the robot if lifting heavier or greater number of pallets is desired.]]>
<![CDATA[Modification of Surface Roughness and Area of FeCrAl Substrate for Catalytic Converter using Ultrasonic Treatment ]]>
<![CDATA[Putrasari, Yanuandri]]>;
<![CDATA[Untoro, P]]>;
<![CDATA[Hasan, Sulaiman]]>;
<![CDATA[Huda, Naili]]>;
<![CDATA[Sebayang, Darwin]]>
<![CDATA[ Journal of Mechatronics, Electrical Power and Vehicular Technology Vol 1, No 2 (2010) ]]>
Publisher : <![CDATA[Research Centre for Electrical Power and Mechatronics, Indonesian Istitutes of Sciences ]]>
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DOI: 10.14203/j.mev.2010.v1.53-60
<![CDATA[Surface roughness and area play important role especially in deposition and reaction of the catalyst in the catalytic converter substrate. The aim of this paper is to show the modification of surface roughness and area of FeCrAl substrate for catalytic converter using ultrasonic method. The method was conducted by agitating the FeCrAl in 10 minutes 35 kHz ultrasonic cleaning bath. The surface roughness, morphology, and chemical components of FeCrAl catalytic converter substrate after ultrasonic treatment were analyzed using atomic force microscope (AFM) and examined with scanning electron microscope (SEM) in combination with energy dispersive X-ray spectroscopy (EDS). The ultrasonic treatment assisted with Al2O3 powders successfully increased the roughness and surface area of FeCrAl better than SiC powders. ]]>
<![CDATA[Hardware simulation of automatic braking system based on fuzzy logic control ]]>
<![CDATA[Basjaruddin, Noor Cholis]]>;
<![CDATA[Kuspriyanto, Kuspriyanto]]>;
<![CDATA[Suhendar, Suhendar]]>;
<![CDATA[Saefudin, Didin]]>;
<![CDATA[Azis, Virna Apriani]]>
<![CDATA[ Journal of Mechatronics, Electrical Power and Vehicular Technology Vol 7, No 1 (2016) ]]>
Publisher : <![CDATA[Research Centre for Electrical Power and Mechatronics, Indonesian Istitutes of Sciences ]]>
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DOI: 10.14203/j.mev.2016.v7.1-6
<![CDATA[In certain situations, a moving or stationary object can be a barrier for a vehicle. People and vehicles crossing could potentially get hit by a vehicle. Objects around roads as sidewalks, road separator, power poles, and railroad gates are also a potential source of danger when the driver is inattentive in driving the vehicle. A device that can help the driver to brake automatically is known as Automatic Braking System (ABS). ABS is a part of the Advanced Driver Assistance Systems (ADAS), which is a device designed to assist the driver in driving the process. This device was developed to reduce human error that is a major cause of traffic accidents. This paper presents the design of ABS based on fuzzy logic which is simulated in hardware by using a remote control car. The inputs of fuzzy logic are the speed and distance of the object in front of the vehicle, while the output of fuzzy logic is the intensity of braking. The test results on the three variations of speed: slow-speed, medium-speed, and high-speed shows that the design of ABS can work according to design.]]>
<![CDATA[Rear Cover MEV Vol 1 No 2 ]]>
<![CDATA[Atmaja, Tinton Dwi]]>
<![CDATA[ Journal of Mechatronics, Electrical Power and Vehicular Technology Vol 1, No 2 (2010) ]]>
Publisher : <![CDATA[Research Centre for Electrical Power and Mechatronics, Indonesian Istitutes of Sciences ]]>
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DOI: 10.14203/j.mev.2010.v1.%p
<![CDATA[Optimization of SMES and TCSC using particle swarm optimization for oscillation mitigation in a multi machines power system ]]>
<![CDATA[Lastomo, Dwi]]>;
<![CDATA[Setiadi, Herlambang]]>;
<![CDATA[Djalal, Muhammad Ruswandi]]>
<![CDATA[ Journal of Mechatronics, Electrical Power and Vehicular Technology Vol 8, No 1 (2017) ]]>
Publisher : <![CDATA[Research Centre for Electrical Power and Mechatronics, Indonesian Istitutes of Sciences ]]>
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DOI: 10.14203/j.mev.2017.v8.11-21
<![CDATA[Due to the uncertainty of load demand, the stability of power system becomes more insecure. Small signal stability or low-frequency oscillation is one of stability issues which correspond to power transmission between interconnected power systems. To enhance the small signal stability, an additional controller such as energy storage and flexible AC transmission system (FACTS) devices become inevitable. This paper investigates the application of superconducting magnetic energy storage (SMES) and thyristor controlled series compensator (TCSC) to mitigate oscillation in a power system. To get the best parameter values of SMES and TCSC, particle swarm optimization (PSO) is used. The performance of the power system equipped with SMES and TCSC was analyzed through time domain simulations. Three machines (whose power ratings are 71.641, 163, and 85 MW) nine buses power system was used for simulation. From the simulation results, it is concluded that SMES and TCSC can mitigate oscillatory condition on the power system especially in lowering the maximum overshoot up to 0.005 pu in this case. It was also approved that PSO can be used to obtain the optimal parameter of SMES and TCSC.]]>
<![CDATA[Autoregressive Integrated Adaptive Neural Networks Classifier for EEG-P300 Classification ]]>
<![CDATA[Soetraprawata, Demi]]>;
<![CDATA[Turnip, Arjon]]>
<![CDATA[ Journal of Mechatronics, Electrical Power and Vehicular Technology Vol 4, No 1 (2013) ]]>
Publisher : <![CDATA[Research Centre for Electrical Power and Mechatronics, Indonesian Istitutes of Sciences ]]>
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DOI: 10.14203/j.mev.2013.v4.1-8
<![CDATA[Brain Computer Interface has a potency to be applied in mechatronics apparatus and vehicles in the future. Compared to the other techniques, EEG is the most preferred for BCI designs. In this paper, a new adaptive neural network classifier of different mental activities from EEG-based P300 signals is proposed. To overcome the over-training that is caused by noisy and non-stationary data, the EEG signals are filtered and extracted using autoregressive models before passed to the adaptive neural networks classifier. To test the improvement in the EEG classification performance with the proposed method, comparative experiments were conducted using Bayesian Linear Discriminant Analysis. The experiment results show that the all subjects achieve a classification accuracy of 100%.]]>
