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[Techno-Economic Analysis of Biogas Utilization as an Alternative Fuel ]]>
<![CDATA[Devi, Merry Indahsari]]>;
<![CDATA[Ismail, Kristian]]>;
<![CDATA[Nur, Arifin]]>
<![CDATA[ Journal of Mechatronics, Electrical Power and Vehicular Technology Vol 5, No 1 (2014) ]]>
Publisher : <![CDATA[Research Centre for Electrical Power and Mechatronics, Indonesian Istitutes of Sciences ]]>
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DOI: 10.14203/j.mev.2014.v5.51-58
<![CDATA[This paper will discuss the feasibility and economic analysis of biogas energy as a supply for the diesel engine generator. The techno-economic analysis was performed by using three parameters which are Net Present Value (NPV), Internal Rate of Return (IRR), and Payback Period (PP) as the feasibility indicators of the biogas power plant project. Calculation of substitution was obtained from the comparison between data of diesel engine using diesel fuel and dual-fuel with biogas. Economic calculations include the substitution percentage of diesel fuel by biogas for dual-fuel. Meanwhile, the calculation of savings was based on the ratio of energy content between diesel fuel and biogas. The eventual outcome is determined using economic comparison between the use of diesel fuel and dual-fuel mode. Feasibility shows that the pilot plant of 1 to 6 kWh using diesel fuel and dual-fuel are not feasible while techno-economic parameter analysis shows that NPV<0, IRR<MARR, while PP is undefined. The biogas power plant project is feasible in some conditions such as there is no labor cost, and 5 and 6 kWh will be feasible under the assumption that expenses for machine maintenance is eliminated. However, even when applying both conditions where biogas is feasible, diesel fuel is still not.]]>
<![CDATA[Development of a Low-Cost Electronic Wheelchair with Obstacle Avoidance Feature ]]>
<![CDATA[Arboleda, Edwin Romeroso]]>;
<![CDATA[Alegre, Mary Christine Tumambing]]>;
<![CDATA[Idica, Kathleen Felix]]>
<![CDATA[ Journal of Mechatronics, Electrical Power and Vehicular Technology Vol 6, No 2 (2015) ]]>
Publisher : <![CDATA[Research Centre for Electrical Power and Mechatronics, Indonesian Istitutes of Sciences ]]>
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DOI: 10.14203/j.mev.2015.v6.89-96
<![CDATA[A low-cost electronic wheelchair was designed and developed which can perform the similar functions and features as a commercially available wheelchair. It also provides obstacle avoidance capability as added value. The electronic wheelchair was  realized by modification of a lightweight manual wheelchair. It uses two electric motors each of 320 W 24 V DC, 5-24 VDC 6 A H-bride drivers, and a 12 V 17 Ah rechargeable lead acid battery. It equipped with switches, joystick, infrared sensors and ultrasonic sensors. A GizduinoAtMega 328 microcontroller is used to read and interpret commands. User’s acceptance evaluation results shows that the developed low-cost wheelchair is able to receive and interpret commands provided by the joystick, detect if a person  is seated on it, navigate to avoid obstacles as well as to detect edge and stairs. Technical evaluation result shows that on a flat surface it could move at the speed of around 39.9 m/minute without load and 32 m/minute with 80 kg load. At 10 degrees inclined surface, the maximum weight limit is 30 kg with the speed of 12 m/minute. At 20 degrees inclined surface, the maximum weight limit is 10 kg with the speed of 3 m/minute. Regarding cost, it is just a fraction of a cost compared to the commercially available model. Therefore, the developed wheelchair offers an option for potential users who cannot afford to buy the commercially available one.]]>
<![CDATA[Preface 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[Fuel consumption and CO2 emission investigation of range extender with diesel and gasoline engine ]]>
<![CDATA[Wahono, Bambang]]>;
<![CDATA[Nur, Arifin]]>;
<![CDATA[Praptijanto, Achmad]]>;
<![CDATA[Santoso, Widodo Budi]]>;
<![CDATA[Suherman, Suherman]]>;
<![CDATA[Lu, Zong]]>
<![CDATA[ Journal of Mechatronics, Electrical Power and Vehicular Technology Vol 7, No 2 (2016) ]]>
Publisher : <![CDATA[Research Centre for Electrical Power and Mechatronics, Indonesian Istitutes of Sciences ]]>
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DOI: 10.14203/j.mev.2016.v7.87-92
<![CDATA[Range extender engine is one of the main components of the range-extended electric vehicle (REEV) and together with a generator to extend the mileage of the electric vehicle. The main component of REEV is an electric motor, battery, and generator set that consist of generator and engine. In this study, we compared two models of REEV performance with two different types of the engine by simulation. Single cylinder 499 cc gasoline engine and single cylinder 667 cc diesel engine are chosen as the object of this research especially relating to the utilization of the fuel consumption and CO2 emissions when fitted to an electric vehicle. The simulation was conducted by using AVL Cruise software and performed by entering the data, both experiment and simulation data, on all the main components of REEV. This simulation was performed in Japan 08 driving cycle. Based on the simulation, fuel consumption is reduced up to 35.59% for REEV with single cylinder diesel engine 667 cc compared to REEV with single cylinder gasoline engine 499 cc. The reduction of CO2 emissions from REEV with single cylinder 499 cc gasoline engine compared to REEV with single cylinder 667 cc diesel engine up to 30.47%.]]>
<![CDATA[Effect of Contact Pressure on the Resistance Contact Value and Temperature Changes in Copper Busbar Connection ]]>
<![CDATA[Risdiyanto, Agus]]>;
<![CDATA[Rachman, Noviadi Arief]]>;
<![CDATA[Arifin, Maulana]]>
<![CDATA[ Journal of Mechatronics, Electrical Power and Vehicular Technology Vol 3, No 2 (2012) ]]>
Publisher : <![CDATA[Research Centre for Electrical Power and Mechatronics, Indonesian Istitutes of Sciences ]]>
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DOI: 10.14203/j.mev.2012.v3.73-80
<![CDATA[This paper discussed the influence of tightness or contacts pressure on copper busbar joints to determine changes in the value of the initial contact resistance and the maximum temperature at the joint due to high current load. The test sample was copper busbar 3 x 30 mm with configuration of bolted overlapping joint. Increasing contact pressure at the joint was measured to find out its effect on the value of contact resistance. The applied pressure was 6 to 36 MPa. Procedure of contact resistance measurement refer to the ASTM B539 standard using four-wire method. The sample subsequently loaded with the current of 350 A for 60 minutes and the maximum temperature at the joint was measured. The result showed that increasing contact pressure at the busbar joint will reduce the contact resistance and maximum temperature. The increase of contact pressure from 6 to 30 MPa causes decreasing contact resistance from 16 μΩ to 11 μΩ. Further increasing of contact pressure more than 30 MPa did not affect the contact resistance significantly. The lowest temperatur of busbar joint of 54°C was reached at a contact pressure of 36 Mpa.]]>
<![CDATA[Design, manufacture and performance analysis of an automatic antenna tracker for an unmanned aerial vehicle (UAV) ]]>
<![CDATA[Nugroho, Gesang]]>;
<![CDATA[Dectaviansyah, Dicky]]>
<![CDATA[ Journal of Mechatronics, Electrical Power and Vehicular Technology Vol 9, No 1 (2018) ]]>
Publisher : <![CDATA[Research Centre for Electrical Power and Mechatronics, Indonesian Istitutes of Sciences ]]>
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DOI: 10.14203/j.mev.2018.v9.32-40
<![CDATA[In conducting a disaster monitoring mission, an unmanned aerial vehicle (UAV) has to travel a long distance to cover the region that is hited by a disaster. In the monitoring mission, Air Data and Attitude Heading Reference System (ADAHRS) data are very important to always be displayed on the ground control station (GCS). Unfortunately, the area of monitoring mission is very wide, whereas the usage of an omnidirectional antenna in the disaster monitoring mission is limited to the UAV maximum range. Therefore, a high gain directional antenna is needed. However, the directional antenna has a disadvantage of always being directed to the target. To solve this problem, antenna tracker is made to track the UAV continuously so that the directional antenna can always be directed to the flying UAV. An antenna tracker using a 32-bit microcontroller and GPS with two degrees-of-freedom was developed. It is able to move 360 degrees on azimuth axis (yaw) and 90 degrees on elevation axis (pitch). Meanwhile, the directional antenna is three elements yagi type with a radiation capability of 6 dBi. By using the antenna tracker, larger UAV range was obtained and the connection between the UAV and the GCS could always be maintained with a minimum fluctuation of RSSI signal, compared to those without using antenna tracker.]]>
<![CDATA[Preface MEV Vol 4 Iss 2 ]]>
<![CDATA[Muharam, Aam]]>
<![CDATA[ Journal of Mechatronics, Electrical Power and Vehicular Technology Vol 4, No 2 (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[Prediction Model of Battery State of Charge and Control Parameter Optimization for Electric Vehicle ]]>
<![CDATA[Wahono, Bambang]]>;
<![CDATA[Ismail, Kristian]]>;
<![CDATA[Ogai, Harutoshi]]>
<![CDATA[ Journal of Mechatronics, Electrical Power and Vehicular Technology Vol 6, No 1 (2015) ]]>
Publisher : <![CDATA[Research Centre for Electrical Power and Mechatronics, Indonesian Istitutes of Sciences ]]>
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DOI: 10.14203/j.mev.2015.v6.31-38
<![CDATA[This paper presents the construction of a battery state of charge (SOC) prediction model and the optimization method of the said model to appropriately control the number of parameters in compliance with the SOC as the battery output objectives. Research Centre for Electrical Power and Mechatronics, Indonesian Institute of Sciences has tested its electric vehicle research prototype on the road, monitoring its voltage, current, temperature, time, vehicle velocity, motor speed, and SOC during the operation. Using this experimental data, the prediction model of battery SOC was built. Stepwise method considering multicollinearity was able to efficiently develops the battery prediction model that describes the multiple control parameters in relation to the characteristic values such as SOC. It was demonstrated that particle swarm optimization (PSO) succesfully and efficiently calculated optimal control parameters to optimize evaluation item such as SOC based on the model.]]>
<![CDATA[Machine Vision Implementation in Rapid PCB Prototyping ]]>
<![CDATA[Murijanto, Yosafat Surya]]>;
<![CDATA[Rusyadi, Rusman]]>;
<![CDATA[Sinaga, Maralo]]>
<![CDATA[ Journal of Mechatronics, Electrical Power and Vehicular Technology Vol 2, No 2 (2011) ]]>
Publisher : <![CDATA[Research Centre for Electrical Power and Mechatronics, Indonesian Istitutes of Sciences ]]>
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DOI: 10.14203/j.mev.2011.v2.79-84
<![CDATA[Image processing, the heart of machine vision, has proven itself to be an essential part of the industries today. Its application has opened new doorways, making more concepts in manufacturing processes viable. This paper presents an application of machine vision in designing a module with the ability to extract drills and route coordinates from an un-mounted or mounted printed circuit board (PCB). The algorithm comprises pre-capturing processes, image segmentation and filtering, edge and contour detection, coordinate extraction, and G-code creation. OpenCV libraries and Qt IDE are the main tools used. Throughout some testing and experiments, it is concluded that the algorithm is able to deliver acceptable results. The drilling and routing coordinate extraction algorithm can extract in average 90% and 82% of the whole drills and routes available on the scanned PCB in a total processing time of less than 3 seconds. This is achievable through proper lighting condition, good PCB surface condition and good webcam quality. ]]>
<![CDATA[Magnetic Simulation and Analysis of Radial Flux Permanent Magnet Generator using Finite Element Method ]]>
<![CDATA[Irasari, Pudji]]>;
<![CDATA[Alam, Hilman Syaeful]]>;
<![CDATA[Kasim, Muhammad]]>
<![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.v3.23-30
<![CDATA[This paper discusses magnetic simulation and analysis of radial flux permanent magnet generator (PMG) using finite element method (FEM) by utilizing open source software FEMM 4.2. The specification of generator is 25 V, 28 A, 3 phase, 300 rpm. The analyzed magnetic flux was in the air gap, stator teeth and slots to find out the distribusian pattern and its fluctuation. The simulations were conducted in no-load and nominal load (28 A) conditions. Furthermore the maximum flux density of simulation (Bg(sim)) was used to calculate phase voltage Eph to find out the magnitude of generated electromotive force (EMF). The calculation results were presented as voltage vs. rotation graph in no-load condition and voltage vs. current graph in nominal load condition. Both graphs were validated with Eph of experiment result (Eph(exp)) and Eph that the value of Bg obtained from analytical calculation (Eph(calc)). The final results showed that in no-load condition, Eph graph with Bg(sim) (Eph(sim)) was close to Eph(exp) and Eph(calc). The error rate with respect to the experiment was 6,9%. In nominal load condition, Eph(sim) graph almost coincides with Eph(calc.) graph, with the voltage drop of both was 0,441 V. Both graphs however were far different from Eph(exp) graph, which has 9 V of voltage drop. The overall results demonstrated that magnetic distribution pattern presented by FEM was very helpful to avoid magnetic flux accumulation in a particular segment. Besides Bg(sim) facilitated to predict the value of Eph.]]>
