Statistical approach in analyzing fuel efficiency of diesel SUVs in Indonesia using MATLAB

Canda Lesmana Ginting and Asaeli Tongoni Lase and Farrah Anis Fazliatul Adnan and Jong Soo Rhee and Dianta Ginting (2024) Statistical approach in analyzing fuel efficiency of diesel SUVs in Indonesia using MATLAB. International Journal of Innovation in Mechanical Engineering and Advanced Materials, 7 (1). pp. 1-10.

[img] Text
FULL TEXT.pdf
Restricted to Registered users only

Download (522kB) | Request a copy

Abstract

The scarcity of fossil fuels and the rising environmental concerns make improving fuel efficiency in the automotive sector a critical focus. Diesel Sport Utility Vehicles (SUVs) in Indonesia, known for their high fuel consumption, significantly contribute to these challenges. This research addresses the problem by investigating the factors influencing fuel efficiency in diesel SUVs available in the 2024 Indonesian market. The primary objective is to analyze the impact of engine torque, vehicle weight, and engine capacity on fuel consumption. To achieve this, we employed MATLAB as a tool for statistical analysis, using specific algorithms such as linear regression, box plot, and correlation methods to model and evaluate the data. The study found that vehicle weight and engine capacity show a strong positive correlation with fuel consumption, indicating that larger engines and heavier vehicles consume more fuel. In contrast, engine torque was found to have a weaker correlation, suggesting that factors like aerodynamics and transmission efficiency may play a more significant role. These results provide valuable insights for manufacturers in designing more fuel-efficient SUVs and for consumers making informed purchasing decisions. Ultimately, this research contributes to the development of more sustainable transportation solutions by highlighting the importance of optimizing vehicle design and engine specifications to reduce fuel consumption in the near term.

Item Type: Article
Keyword: Diesel SUV; engine capacity; vehicle weight; engine torque; MATLAB; linear regression
Subjects: T Technology > TL Motor vehicles. Aeronautics. Astronautics > TL1-4050 Motor vehicles. Aeronautics. Astronautics
T Technology > TL Motor vehicles. Aeronautics. Astronautics > TL1-4050 Motor vehicles. Aeronautics. Astronautics > TL1-484 Motor vehicles. Cycles
Department: FACULTY > Faculty of Science and Natural Resources
Depositing User: ABDULLAH BIN SABUDIN -
Date Deposited: 28 Apr 2025 15:55
Last Modified: 28 Apr 2025 15:55
URI: https://eprints.ums.edu.my/id/eprint/43638

Actions (login required)

View Item View Item