A Study on Predicting Engine Performance Outputs by Machine Learning Algorithms in a Single Cylinder HCCI Engine

Machine learning algorithms are often used to mathematically establish relationships between data sets. Successful results have been achieved in performance, production, consumption, fault, and wear prediction applications using learning algorithms. The high testing costs of Homogeneous Charge Compression Ignition (HCCI) engines, the determination of efficient operating ranges, and the challenges of performance prediction in untested regions have recently made the use of artificial intelligence technologies increasingly popular. In this study, a dataset (805 data) was created by varying the λ value in a single-cylinder HCCI engine (Ricardo Hydra) and conducting performance measurements at different engine…