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All Journal Mechatronics, Electrical Power, and Vehicular Technology IIJSE

Bambang Wahono

Research Centre for Electrical Power and Mechatronics, Indonesian Institute of Sciences, Komp LIPI Jl Cisitu 21/154D, Gd 20, Bandung 40135

Author-ID : 410673

Economics, Econometrics & Finance Electrical & Electronics Engineering

Published : 7 Documents Claim Missing Document

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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%.

Prediction Model of Battery State of Charge and Control Parameter Optimization for Electric Vehicle Wahono, Bambang; Ismail, Kristian; Ogai, Harutoshi
Journal of Mechatronics, Electrical Power and Vehicular Technology Vol 6, No 1 (2015)
Publisher : Research Centre for Electrical Power and Mechatronics, Indonesian Istitutes of Sciences

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.

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.

Combustion Property Analysis and Control System for the Dynamics of a Single Cylinder Diesel Engine Wahono, Bambang; Xiaoli, Wang; Ogai, Harutoshi
Journal of Mechatronics, Electrical Power and Vehicular Technology Vol 4, No 2 (2013)
Publisher : Research Centre for Electrical Power and Mechatronics, Indonesian Istitutes of Sciences

Corresponding to global environment problems in recent year, the technology for reducing fuel consumption and exhaust gas emission of engine was needed. Simulation of transient engine response is needed to predict engine performance that frequently experience rapid changes of speed. The aim of this research is to develop a non-linear dynamic control model for direct injection single cylinder diesel engine which can simulate engine performance under transient conditions. In this paper, the combustion model with multistage injection and conducted experiments in the transient conditions to clarify the combustion characteristics was proposed. In order to perform the analysis of acceleration operation characteristics, it was built a Model Predictive Control (MPC) to reproduce the characteristic values of the exhaust gas and fuel consumption from the control parameters in particular. Finally, MPC is an effective method to perform the analysis of characteristic in diesel engine under transient conditions.

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 %.

Electric wheelchair navigation based on hand gestures prediction using the k-Nearest Neighbor method Anam, Khairul; Nahela, Safri; Sasono, Muchamad Arif Hana; Rizal, Naufal Ainur; Putra, Aviq Nurdiansyah; Wahono, Bambang; Putrasari, Yanuandri; Wardana, Muhammad Khristamto Aditya; Salim, Taufik Ibnu
Journal of Mechatronics, Electrical Power, and Vehicular Technology Vol 16, No 1 (2025)
Publisher : National Research and Innovation Agency

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55981/j.mev.2025.1229

The advancement of technology in the medical field has led to innovations in assistive devices, including wheelchairs, to enhance the mobility and independence of individuals with disabilities. This study investigates the use of electromyography (EMG) signals from hand muscles to control a wheelchair using the k-Nearest Neighbor (kNN) classification method. kNN is a classification algorithm that identifies objects based on the proximity of similar objects in the feature space. The wheelchair control process begins with the development of a kNN model trained on EMG signal data collected from five respondents over 30 seconds. The data was processed using feature extraction techniques, namely Mean Absolute Value (MAV) and Root Mean Square (RMS), to identify motion characteristics corresponding to five types of movement: forward, backward, right, left, and stop. The extracted features were classified using the kNN algorithm implemented on a Raspberry Pi 3. The classification results were then used to control the wheelchair through an Arduino UNO microcontroller connected to a BTS7960 motor driver. The study achieved an average accuracy of 96% with the MAV feature and ? = 3. Furthermore, combining MAV and RMS features significantly improved classification accuracy. The highest accuracy was obtained using the combination of MAV and RMS features with ? = 3, demonstrating the effectiveness of feature selection and parameter tuning in enhancing the system's performance.

Public Satisfaction Level Towards Services at the Fire and Rescue Department of Yogyakarta Wahono, Bambang; Rinaldi, Rinaldi
Indonesian Interdisciplinary Journal of Sharia Economics (IIJSE) Vol 9 No 1: Sharia Economics
Publisher : Universitas KH. Abdul Chalim Mojokerto

Show Abstract | Download Original | Original Source | Check in Google Scholar

This research aims to determine the level of public satisfaction with the services provided by the Yogyakarta City Fire and Rescue Department. This study employs a quantitative approach and utilizes surveys as the method for data collection. The population for this research consists of institutions, communities, or individuals who receive services from the Yogyakarta City Fire and Rescue Department, while the sampling technique used is purposive sampling, which involves selecting subjects based on specific criteria or objectives. The validity and reliability of the instruments were tested using SPSS software, and the data analysis technique employed was the analysis of the Public Satisfaction Index (PSI) based on the Regulation of the Minister for Administrative Reform and Bureaucratic Reform of the Republic of Indonesia Number 14 of 2017. The results of this research indicate that the level of public satisfaction with the services at the Yogyakarta City Fire and Rescue Department is reflected in a Public Satisfaction Index (PSI) score of 89.30, indicating a very high quality of service.

Co-Authors A.A. Ketut Agung Cahyawan W Achmad Praptijanto Ade Kurniawan Anam, M. Khairul Arifin Nur Budi Prawara Budianto, Hari Dimyani, Ahmad Fuad, Nur Muhamad Harutoshi Ogai Hayoto, Vebriyanti Hidayat, Muhammad Novel Indriatmono, Dedy Kristian Ismail Lim, Ocktaeck Lu, Zong Ma'ruf, Muhammad Mokhtar, Mokhtar Nahela, Safri Nugroho, Rudi Cahyo Pratama, Mulia Putra, Aviq Nurdiansyah Rinaldi Rinaldi Rizal, Naufal Ainur Salim, Taufik Ibnu Samanhudi, Ramadhani Deniartio Santoso, Widodo Budi Sasono, Muchamad Arif Hana Soewono, Respatya Teguh Suherman, Suherman Sukra, Kurnia Fajar Adhi Suryantoro, Muchammad Taufiq Wahidin, Agus Wang Xiaoli Wardana, Muhammad Khristamto Aditya Yanuandri Putrasari Yuwono, Taufik

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