Engine Mass Flow Estimation through Neural Network Modeling in Semi-Transient Conditions: A New Calibration Approach

Engine Mass Flow Estimation through Neural Network Modeling in Semi-Transient Conditions: A New Calibration Approach

Nowadays, engine experimental research represents a very expensive field within the automotive industry, but it remains fundamental for engine and vehicle development. The present work aims to investigate a novel approach for engine control system calibration, by adopting machine learning techniques...

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Bibliographic Details
Main Authors:	T. Savioli, M. Pampanini, G. Visani, L. Esposito, C. A. Rinaldini
Format:	Article
Language:	English
Published:	MDPI AG 2024-10-01
Series:	Fluids
Subjects:	engines neural networks random forest gradient boosted decision vehicle calibration
Online Access:	https://www.mdpi.com/2311-5521/9/10/239
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