Modeling, diagnostics, optimization, and control of internal combustion engines via modern machine learning techniques: A review and future directions
A critical review of the existing Internal Combustion Engine (ICE) modeling, optimization,
diagnosis, and control challenges and the promising state-of-the-art Machine Learning (ML) …
diagnosis, and control challenges and the promising state-of-the-art Machine Learning (ML) …
Data learning: Integrating data assimilation and machine learning
Data Assimilation (DA) is the approximation of the true state of some physical system by
combining observations with a dynamic model. DA incorporates observational data into a …
combining observations with a dynamic model. DA incorporates observational data into a …
[HTML][HTML] Analysis of the Euro 7 on-board emissions monitoring concept with real-driving data
The Euro 7 standard is expected to intensify its focus on real-driving emissions compliance
thanks to the on-board monitoring (OBM) system. OBM is designed to bridge the gap …
thanks to the on-board monitoring (OBM) system. OBM is designed to bridge the gap …
Characterizing CO2 and NOx emission of vehicles crossing toll stations in highway
D Lu, H Zhao, Z Peng - Transportation Research Part D: Transport and …, 2024 - Elsevier
Electronic toll collection (ETC) has been designed and implemented to improve traffic
efficiency and reduce traffic-related air pollution. However, the real-world impact of ETC on …
efficiency and reduce traffic-related air pollution. However, the real-world impact of ETC on …
Improved emissions conversion of diesel oxidation catalyst using multifactor impact analysis and neural network
J Ye, Q Peng - Energy, 2023 - Elsevier
Abstract Diesel Oxidation Catalyst (DOC) is an effective device to reduce engine emissions.
To improve the oxidation performance of HCs, NO x and CO, a 3D simulation model of …
To improve the oxidation performance of HCs, NO x and CO, a 3D simulation model of …
Optimizing model parameters of artificial neural networks to predict vehicle emissions
This paper presents a novel approach to predict carbon dioxide (CO 2), nitrogen oxides
(NOx), and carbon monoxide (CO) emissions of diesel vehicles using artificial neural …
(NOx), and carbon monoxide (CO) emissions of diesel vehicles using artificial neural …
The Development of CO2 Instantaneous Emission Model of Full Hybrid Vehicle with the Use of Machine Learning Techniques
Road transport contributes to almost a quarter of carbon dioxide emissions in the EU. To
analyze the exhaust emissions generated by vehicle flows, it is necessary to use specialized …
analyze the exhaust emissions generated by vehicle flows, it is necessary to use specialized …
Analysis and prediction model of fuel consumption and carbon dioxide emissions of light-duty vehicles
Due to the alarming rate of climate change, fuel consumption and emission estimates are
critical in determining the effects of materials and stringent emission control strategies. In this …
critical in determining the effects of materials and stringent emission control strategies. In this …
Prediction of instantaneous real-world emissions from diesel light-duty vehicles based on an integrated artificial neural network and vehicle dynamics model
This paper presents a road vehicle emission model that integrates an artificial neural
network (ANN) model with a vehicle dynamics model to predict the instantaneous carbon …
network (ANN) model with a vehicle dynamics model to predict the instantaneous carbon …
Instantaneous CO2 emission modelling for a Euro 6 start-stop vehicle based on portable emission measurement system data and artificial intelligence methods
M Mądziel - Environmental Science and Pollution Research, 2024 - Springer
One of the increasingly common methods to counteract the increased fuel consumption of
vehicles is start-stop technology. This paper introduces a methodology which presents the …
vehicles is start-stop technology. This paper introduces a methodology which presents the …