Modeling and control of diesel engines: A systematic review

• Main Authors: G. Sujesh, S. Ramesh
• Format: Article
• Language: English
• Published: Elsevier 2018-12-01
• Series: Alexandria Engineering Journal
• Online Access: http://www.sciencedirect.com/science/article/pii/S1110016818301984

This paper presents an exploratory review on various attempts made in the literature for improving the performance of diesel engine, since last decade. The review explains the evolution of various performance improvement methods followed by explaining the modeling techniques, state-of-the-art metrics that define the performance of the diesel engines. Subsequently, the review is confined to artificial intelligence methodologies for improving the performance improvement. This review addresses an important challenge for enhancing the performance of the diesel engine by exploiting the optimization algorithms. The significant challenges are the noisy experimental scenario, robustness, imprecise and temporal variations of approximations of fitness models. Since these challenges still exist in the optimization algorithms and diesel engine modeling, there is an extensive scope for researchers who are working on a diesel engine. This contemplates the reporting of various advancements in the optimization models for further enhancement of engine performance. Keywords: Engine, Modeling, Artificial Intelligence, Control, Diesel