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All Journal Mechatronics, Electrical Power, and Vehicular Technology

Achmad Praptijanto

Pusat Penelitian Tenaga Listrik dan Mekatronik Lembaga Ilmu Pengetahuan Indonesia

Author-ID : 344834

Electrical & Electronics Engineering

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Articles

Fuel consumption and CO2 emission investigation of range extender with diesel and gasoline engine Wahono, Bambang; Nur, Arifin; Praptijanto, Achmad; Santoso, Widodo Budi; Suherman, Suherman; Lu, Zong
Journal of Mechatronics, Electrical Power and Vehicular Technology Vol 7, No 2 (2016)
Publisher : Research Centre for Electrical Power and Mechatronics, Indonesian Istitutes of Sciences

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%.

Thermal efficiency and emission characteristics of a diesel-hydrogen dual fuel CI engine at various loads condition Putrasari, Yanuandri; Praptijanto, Achmad; Nur, Arifin; Santoso, Widodo Budi; Pratama, Mulia; Dimyani, Ahmad; Suherman, Suherman; Wahono, Bambang; Wardana, Muhammad Khristamto Aditya; Lim, Ocktaeck
Journal of Mechatronics, Electrical Power and Vehicular Technology Vol 9, No 2 (2018)
Publisher : Research Centre for Electrical Power and Mechatronics, Indonesian Istitutes of Sciences

Efforts to find alternative fuels and reduce emissions of CI engines have been conducted, one of which is the use of diesel hydrogen dual fuel. One of the goals of using hydrogen in dual-fuel combustion systems is to reduce particulate emissions and increase engine power. This study investigates the thermal efficiency and emission characteristics of a diesel-hydrogen dual fuel CI engine at various loads condition. The hydrogen was used as a secondary fuel in a single cylinder 667 cm3 diesel engine. The hydrogen was supplied to intake manifold by fumigation method, and diesel was injected directly into the combustion chamber. The results show that the performance test yielding an increase around 10% in the value of thermal efficiency of diesel engines with the addition of hydrogen either at 2000 or 2500 rpm. Meanwhile, emission analyses show that the addition of hydrogen at 2000 and 2500 rpm lead to the decrease of NOx value up to 43%. Furthermore, the smokeless emissions around 0% per kWh were occurred by hydrogen addition at 2000 and 2500 rpm of engine speeds with load operation under 20 Nm.

Experimental Investigation of 2nd Generation Bioethanol Derived from Empty-fruit-bunch (EFB) of Oil-palm on Performance and Exhaust Emission of SI Engine Putrasari, Yanuandri; Abimanyu, Haznan; Praptijanto, Achmad; Nur, Arifin; Irawan, Yan; Simanungkalit, Sabar Pangihutan
Journal of Mechatronics, Electrical Power and Vehicular Technology Vol 5, No 1 (2014)
Publisher : Research Centre for Electrical Power and Mechatronics, Indonesian Istitutes of Sciences

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14203/j.mev.2014.v5.9-16

The experimental investigation of 2nd generation bioethanol derived from EFB of oil-palm blended with gasoline for 10, 20, 25% by volume and pure gasoline were conducted on performance and exhaust emission tests of SI engine. A four stroke, four cylinders, programmed fuel injection (PGMFI), 16 valves variable valve timing and electronic lift control (VTEC), single overhead camshaft (SOHC), and 1,497 cm3 SI engine (Honda/L15A) was used in this investigation. Engine performance test was carried out for brake torque, power, and fuel consumption. The exhaust emission was analyzed for carbon monoxide (CO) and hydrocarbon (HC). The engine was operated on speed range from1,500 until 4,500 rev/min with 85% throttle opening position. The results showed that the highest brake torque of bioethanol blends achieved by 10% bioethanol content at 3,000 to 4,500 rpm, the brake power was greater than pure gasoline at 3,500 to 4,500 rpm for 10% bioethanol, and bioethanol-gasoline blends of 10 and 20% resulted greater bsfc than pure gasoline at low speed from 1,500 to 3,500 rpm. The trend of CO and HC emissions tended to decrease when the engine speed increased.

Vehicular networking and computer vision-based distance estimation for VANET application using Raspberry Pi 3 Pratama, Mulia; Gruosso, Giambattista; Santoso, Widodo Budi; Praptijanto, Achmad
Journal of Mechatronics, Electrical Power and Vehicular Technology Vol 10, No 1 (2019)
Publisher : Research Centre for Electrical Power and Mechatronics, Indonesian Istitutes of Sciences

This research was implementing vehicle networking using WIFI connection and computer vision to measure the distance of vehicles in front of a driver. In particular, this works aimed to improve a safe driving environment thus supporting the current technology concept being developed for inter-vehicular networking, VANET, especially in its safety application such as Overtaking Assistance System. Moreover, it can wirelessly share useful visual information such as hazard area of a road accident. In accordance with Vehicle-to-Vehicle (V2V) concept, a vehicle required to be able to conduct networking via a wireless connection. Useful data and video were the objects to be sent over the network established. The distance of a vehicle to other vehicles towards it is measured and sent via WIFI together with a video stream of the scenery experienced by the front vehicle. Haar Cascade Classifier is chosen to perform the detection. For distance estimation, at least three methods have been compared in this research and found evidence that, for measuring 5 meters, the iterative methods shows 5.80. This method performs well up to 15 meters. For measuring 20 meters, P3P method shows a better result with only 0.71 meters to the ground truth. To provide a physical implementation for both the detection and distance estimation mechanism, those methods were applied in a compact small-sized vehicle-friendly computer device the Raspberry Pi. The performance of the built system then analyzed in terms of streaming latency and accuracy of distance estimation and shows a good result in measuring distance up to 20 meters.

Energy consumption, CO2, and cost analysis of hybrid and battery electric motorcycle Yuwono, Taufik; Sukra, Kurnia Fajar Adhi; Soewono, Respatya Teguh; Indriatmono, Dedy; Fuad, Nur Muhamad; Ma'ruf, Muhammad; Samanhudi, Ramadhani Deniartio; Kurniawan, Ade; Nugroho, Rudi Cahyo; Wahidin, Agus; Hayoto, Vebriyanti; Suryantoro, Muchammad Taufiq; Mokhtar, Mokhtar; Hidayat, Muhammad Novel; Wahono, Bambang; Pratama, Mulia; Nur, Arifin; Dimyani, Ahmad; Suherman, Suherman; Wardana, Muhammad Khristamto Aditya; Praptijanto, Achmad; Putrasari, Yanuandri; Prawara, Budi; Budianto, Hari
Journal of Mechatronics, Electrical Power, and Vehicular Technology Vol 15, No 2 (2024)
Publisher : National Research and Innovation Agency

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55981/j.mev.2024.989

The electrification of the two-wheel vehicle segment is an important strategy for decarbonising the transportation sector. This study aimed to assess the hybridisation of gasoline motorcycles with battery electric systems as an option for decarbonisation. A gasoline motorcycle that had been converted to a hybrid motorcycle was evaluated in several aspects: energy consumption, greenhouse gas (GHG) emission, and cost of energy. The vehicle was tested under the United Nations economic commission for europe (UNECE) Regulation No.40 and compared to a battery electric motorcycle. The test in internal combustion engine (ICE) mode consumed 233.31 Wh/km of specific energy, emitted 60.69 gCO2/km and cost 1.65 US-cent/km on average. The test in hybrid mode consumed specific energy at 6 % higher and 4 % lower specific energy consumption than ICE, thus not improving the carbon dioxide (CO2) emission and operating cost. In electric battery mode, energy consumption was saved by 83 %, with 35 % lower CO2 and 74 % cost savings. The battery electric motorcycle runs more efficiently with 88 % lower energy consumption, 53.8 % lower CO2 and saved cost by 82 %. If the hybrid controller is improved in future development, it could lower specific energy consumption by 41.7 %, reduce CO2 by 11.2 % and save cost by 35.7 %.

Co-Authors A.A. Ketut Agung Cahyawan W Ade Kurniawan Arifin Nur Bambang Wahono Budi Prawara Budianto, Hari Dimyani, Ahmad Fuad, Nur Muhamad Gruosso, Giambattista Hayoto, Vebriyanti Haznan Abimanyu Hidayat, Muhammad Novel Indriatmono, Dedy Lim, Ocktaeck Lu, Zong Ma'ruf, Muhammad Mokhtar, Mokhtar Nugroho, Rudi Cahyo Pratama, Mulia Sabar Pangihutan Simanungkalit Samanhudi, Ramadhani Deniartio Santoso, Widodo Budi Soewono, Respatya Teguh Suherman, Suherman Sukra, Kurnia Fajar Adhi Suryantoro, Muchammad Taufiq Wahidin, Agus Wardana, Muhammad Khristamto Aditya Yan Irawan Yanuandri Putrasari Yuwono, Taufik

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