Online Big-Data Monitoring and Assessment Framework for Internal Combustion Engine with Various Biofuels

Ming Zhang*, Vikas Sharma, Zezhong Wang, Yu Jia, Abul Kalam Hossain, Yuchun Xu

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

Abstract

As the primary power source for automobiles, the internal combustion (IC) engines have been widely used and served millions of people worldwide. With increasingly stringent environmental regulations, biofuels have been obtained more attentions and are being used as alternative fuel to power IC engines. However, there are currently no standard solutions or well-established monitoring and assessment methods that can effectively evaluate the IC engine’s performance with biofuels. The expectation for biofuels is to keep the engine’s lifetime as long as the conventional fuels, or even longer. Otherwise, their usage would be unnecessary because they would reduce the lifecycle of the engine and also cause more waste and pollution. To address this challenge, we initially designed two biofuels: waste cooking oil biofuel (WCOB) and lamb fat biofuel (LFB). Then we proposed an online big-data monitoring and assessment framework for IC engines operating with various types of fuel. We conducted comprehensive experiments and comparisons based on the proposed framework. The results indicate that LFB performs best under all the performance indicators.
Original languageEnglish
Article number1
JournalInternational Journal of Automotive Manufacturing and Materials
Volume2
Issue number2
Early online date30 May 2023
DOIs
Publication statusPublished - 1 Jun 2023

Bibliographical note

Copyright (c) 2023 Ming Zhang, Vikas Sharma, Zezhong Wang, Yu Jia, Abul Kalam Hossain, Yuchun Xu
Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 International License.

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