Automotive Experiences
Vol 6 No 1 (2023)

Fuel Control System on CNG Fueled Vehicles using Machine Learning: A Case Study on the Downhill

Suroto Munahar (Universitas Muhammadiyah Magelang, Indonesia)
Muji Setiyo (Universitas Muhammadiyah Magelang, Indonesia)
Ray Adhan Brieghtera (Universitas Muhammadiyah Magelang, Indonesia)
Madihah Mohd Saudi (Universiti Sains Islam Malaysia (USIM), Malaysia)
Azuan Ahmad (Universiti Sains Islam Malaysia (USIM), Malaysia)
Dori Yuvenda (Universitas Negeri Padang, Indonesia)



Article Info

Publish Date
28 Apr 2023

Abstract

Compressed Natural Gas (CNG) is an affordable fuel with a higher octane number. However, older CNG kits without electronic controls have the potential to supply more fuel when driving downhill due to the vacuum in the intake manifold. Therefore, this article presents a development of a CNG control system that accommodates road inclination angles to improve fuel efficiency. Machine learning is involved in this work to process engine speed, throttle valve position, and road slope angle. The control system is designed to ensure reduced fuel consumption when the vehicle is operating downhill. The results showed that the control system increases fuel consumption by 25.7% when driving downhill which an inclination of 5ᵒ. The AFR increased from 17.5 to 22 and the CNG flow rate decreased from 17.7 liters/min to 13.8 liters/min which is promising for applying to CNG vehicles.

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Journal Info

Abbrev

AutomotiveExperiences

Publisher

Subject

Aerospace Engineering Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Control & Systems Engineering Electrical & Electronics Engineering Energy Materials Science & Nanotechnology Mechanical Engineering

Description

Automotive experiences invite researchers to contribute ideas on the main scope of Emerging automotive technology and environmental issues; Efficiency (fuel, thermal and mechanical); Vehicle safety and driving comfort; Automotive industry and supporting materials; Vehicle maintenance and technical ...