Artificial intelligence and data driven optimization of internal combustion engines /

"Artificial Intelligence and Data Driven Optimization of Internal Combustion Engines summarizes recent developments in Artificial Intelligence (AI)/Machine Learning (ML) and data driven optimization and calibration techniques for internal combustion engines. The book covers AI/ML and data drive...

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Bibliographic Details
Corporate Author:	ScienceDirect (Online service)
Other Authors:	Badra, Jihad (Editor), Pal, Pinaki (Editor), Pei, Yuangjiang (Editor), Som, Sibendu (Editor)
Format:	eBook
Language:	English
Published:	Amsterdam, Netherlands ; Cambridge, MA : Elsevier, [2022]
Subjects:	Internal combustion engines > Data processing. Artificial intelligence > Industrial applications. Moteurs à combustion interne > Informatique. Intelligence artificielle > Applications industrielles. Artificial intelligence > Industrial applications Internal combustion engines > Data processing Electronic books.
Online Access:	Connect to the full text of this electronic book

Table of Contents:

1. Active-learning for fuel optimization
2. High throughput screening for fuel formulation
3. Engine optimization using computational fluid dynamics-Genetic algorithms (CFD-GA)
4. Engine optimization using computational fluid dynamics-design of experiments (CFD-DoE)
5. Engine optimization using machine learning-genetic algorithms (ML-GA)
6. Machine learning driven sequential optimization using dynamic exploration and exploitation
7. Optimization of after-treatment systems using machine learning
8. Engine cycle-to-cycle variation control
9. Prediction of low pressure preignition using machine learning
10. AI aided optimization of experimental engine calibration
11. AI aided optimization of vehicle control calibration.