Experimental Study on the Conversion of Fuel Injection Motorcycles into Electric Vehicles Through Dynotest Performance Testing

This study aims to test the results of converting a gasoline-fueled motorcycle with an injection system into an electric motorcycle in terms of horsepower and torque. The data from the unit conversion testing in this study used an experimental method with data analysis that compares the results of dyno tests on a gasoline-fueled motorcycle unit using variations of fuel octane values, with dyno test data from the unit after being converted into an electric vehicle. The testing equipment and materials used in the study were: Sportdyno 4.0, a 110 CC Injection Matic Motorcycle unit, and Pertamax Fuel. The results of this study show that the highest power and torque on the gasoline-powered motorcycle were 6.2 Horsepower (HP) at 6500 to 6600 rpm, and the highest torque was 6.8 N.m at 6400 rpm for the unit before conversion. After the conversion, the highest power achieved was 5.4 HP at an average of 2250 to 2500 rpm, and the highest torque was 28.48 N.m at 1100 rpm for the converted vehicle unit.Thus, it can be concluded from the average data analysis of the power and torque tests that the result of the electric vehicle conversion is 5.4 HP and 28.48 N.m.

Authors

Institutions

Publication Details

Journal
Jurnal E-Komtek (Elektro-Komputer-Teknik)
Published
2024-12-27
DOI
https://doi.org/10.37339/e-komtek.v8i2.2155
Primary Topic
Electric and Hybrid Vehicle Technologies
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Experimental Study on the Conversion of Fuel Injection Motorcycles into Electric Vehicles Through Dynotest Performance Testing

Hamid Nasrullah, Ari Aryadi, Reza Febriano Armas, Anissa Shofia Zahra
Jurnal E-Komtek (Elektro-Komputer-Teknik)
Electric and Hybrid Vehicle Technologies
article

Experimental Study on the Conversion of Fuel Injection Motorcycles into Electric Vehicles Through Dynotest Performance Testing

Hamid Nasrullah, Ari Aryadi, Reza Febriano Armas, Anissa Shofia Zahra
article en

Abstract

This study aims to test the results of converting a gasoline-fueled motorcycle with an injection system into an electric motorcycle in terms of horsepower and torque. The data from the unit conversion testing in this study used an experimental method with data analysis that compares the results of dyno tests on a gasoline-fueled motorcycle unit using variations of fuel octane values, with dyno test data from the unit after being converted into an electric vehicle. The testing equipment and materials used in the study were: Sportdyno 4.0, a 110 CC Injection Matic Motorcycle unit, and Pertamax Fuel. The results of this study show that the highest power and torque on the gasoline-powered motorcycle were 6.2 Horsepower (HP) at 6500 to 6600 rpm, and the highest torque was 6.8 N.m at 6400 rpm for the unit before conversion. After the conversion, the highest power achieved was 5.4 HP at an average of 2250 to 2500 rpm, and the highest torque was 28.48 N.m at 1100 rpm for the converted vehicle unit.Thus, it can be concluded from the average data analysis of the power and torque tests that the result of the electric vehicle conversion is 5.4 HP and 28.48 N.m.

Jurnal E-Komtek (Elektro-Komputer-Teknik)Vol. 8(2)
Universitas Muhammadiyah Jakarta (ID)
Affordable and clean energy
Openalex Percentile: Top 73%
Electric and Hybrid Vehicle Technologies
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Experimental Study on the Conversion of Fuel Injection Motorcycles into Electric Vehicles Through Dynotest Performance Testing — Hamid Nasrullah, Ari Aryadi, et al. · Jurnal E-Komtek (Elektro-Komputer-Teknik) (2024) | TGRS Research Map | TGRS