An interdisciplinary review on calibration strategies of engine management system for diverse alternative fuels in IC engine applications

A Jacob, B Ashok - Fuel, 2020 - Elsevier
As the vehicle technology evolves and becomes more complex, the ability to monitor certain
uncontrollable factors is possible through various engine management system calibration …

Application of statistical approaches in IC engine calibration to enhance the performance and emission Characteristics: A methodological review

TS Kumar, R Vignesh, B Ashok, P Saiteja, A Jacob… - Fuel, 2022 - Elsevier
It is a well-known fact that the automotive industries have predominantly ruled the global
industrial and commercial sectors. However, an increase in the demand for fossil fuels and …

Modeling and optimization of a light-duty diesel engine at high altitude with a support vector machine and a genetic algorithm

J Wang, L Shen, Y Bi, J Lei - Fuel, 2021 - Elsevier
The engine performances and emissions of light-duty diesel engines in plateau regions
have attracted more attention due to the upcoming China VI emission regulations for light …

Deep neural network model-based global calibration scheme for split injection control map to enhance the characteristics of biofuel powered engine

R Vignesh, B Ashok - Energy Conversion and Management, 2021 - Elsevier
The work aims to optimally calibrate the diesel engine fuel injector control parameters
powered by biofuel; it shows improved performance and emission behaviour for the entire …

Optimization of performance and emission characteristics of the CI engine fueled with preheated palm oil in blends with diesel fuel

IS Mohamed, EP Venkatesan, M Parthasarathy… - Sustainability, 2022 - mdpi.com
In this analytical investigation, preheated palm oil was used in the direct injection diesel
engine with various optimization methods. The main purpose of the optimization was to get …

Engine knock evaluation using a machine learning approach

F Ricci, F Mariani, V Cruccolini, M Violi - 2020 - sae.org
Artificial Intelligence is becoming very important and useful in several scientific fields.
Machine learning methods, such as neural networks and decision trees, are often proposed …

Modelling and multi-objective combustion optimization of marine engine with speed maintaining control target

J Zhang, Y Meng, D Liu, L Liu, X Ma, C Jiang… - Thermal Science and …, 2023 - Elsevier
In this paper, the modelling and optimized control problem for the marine diesel engine
combustion characteristics has been investigated. For marine diesel engine, it is of …

Development of an engine calibration model using Gaussian process regression

T Pan, Y Cai, S Chen - International Journal of Automotive Technology, 2021 - Springer
To enhance the calibration efficiency, reduce the fuel consumption and improve the
emission performance of the engine, a calibration method using Gaussian Process …

Use of thermodynamical models with predictive combustion and emission capability in virtual calibration of heavy duty engines

E Özgül, M Şimşek, H Bedir - Fuel, 2020 - Elsevier
Calibration ensures low fuel consumption operation of an engine within emission limits. It is
usually performed in a dynamometer test environment. A cost effective alternative is virtual …

[PDF][PDF] Train Driving Parameters Optimization to Maximize Efficiency and Fuel Consumption

M Milovančević, D Milčić, B Andjelkovic… - Acta Polytechnica …, 2022 - acta.uni-obuda.hu
Progress in air and fuel management has greatly increased the efficiency of modern
automotive train diesel engines, also achieving significant reductions of pollutant emissions …