[HTML][HTML] NOx Emission Prediction for Heavy-Duty Diesel Vehicles Based on Improved GWO-BP Neural Network

Z Wang, K Feng - Energies, 2024 - mdpi.com
NOx is one of the main sources of pollutants for motor vehicles. Nowadays, many diesel
vehicle manufacturers may use emission-cheating equipment to make the vehicles meet …

[HTML][HTML] Prediction Model for Transient NOx Emission of Diesel Engine Based on CNN-LSTM Network

Q Shen, G Wang, Y Wang, B Zeng, X Yu, S He - Energies, 2023 - mdpi.com
In order to address the challenge of accurately predicting nitrogen oxide (NOx) emission
from diesel engines in transient operation using traditional neural network models, this study …

A new transient NOx prediction model for diesel engine based on neural network model with Pelican Optimization Algorithm

X Chen, S Bai, G Li, G Wang… - International Journal of …, 2024 - journals.sagepub.com
The World Harmonized Steady Cycle (WHSC) and the World Harmonized Transient Cycle
(WHTC) are used to simulate the real driving conditions of a vehicle, which provides an …

NOx Emission prediction of heavy-duty diesel vehicles based on Bayesian optimization-Gated Recurrent Unit algorithm

Z Wang, K Luo, H Yu, K Feng, H Ding - Energy, 2024 - Elsevier
In accordance with the emission regulations specified in GB17691-2018 ″Emission Limits
and Measurement Methods for Heavy-Duty Vehicles (China VI)," this paper conducted …

NOx emissions prediction based on mutual information and back propagation neural network using correlation quantitative analysis

G Wang, OI Awad, S Liu, S Shuai, Z Wang - Energy, 2020 - Elsevier
Abstract Information on Nitrogen oxide (NO x) concentrations play a significant role in
aftertreatment systems. In this work, a method to estimate NO x emissions by means of …

Enhancing vehicular emissions monitoring: A GA-GRU-based soft sensors approach for HDDVs

L Yang, Y Ge, L Lyu, J Tan, L Hao, X Wang, H Yin… - Environmental …, 2024 - Elsevier
Vehicle emissions have a serious impact on urban air quality and public health, so
environmental authorities around the world have introduced increasingly stringent emission …

Deep neural network model with Bayesian hyperparameter optimization for prediction of NOx at transient conditions in a diesel engine

S Shin, Y Lee, M Kim, J Park, S Lee, K Min - Engineering Applications of …, 2020 - Elsevier
Owing to increasing interest in the environment, particularly on air quality, regulations in the
automobile industry have become stricter. Test cycles have been substituted to simulate real …

Research on actual road emission prediction model of heavy-duty diesel vehicles based on obd remote method and artificial neural network

J Wang, L Wang, Z Ji, S Qi, Z Xie… - Journal of Physics …, 2021 - iopscience.iop.org
In order to establish a prediction model of PM and NOx emission factors for heavy-duty
diesel vehicles under actual road conditions based on OBD remote monitoring and big data …

Development of a Light and Accurate Nox Prediction Model for Diesel Engines Using Machine Learning and Xai Methods

JJ Park, S Lee, S Shin, M Kim, J Park - International Journal of Automotive …, 2023 - Springer
In the previous research, we had developed a Nitrogen Oxides emissions (NOx) prediction
model using deep learning methodology. However, it is necessary to develop a lightweight …

Appraisal of artificial neural networks to the emission analysis and prediction of CO2, soot, and NOx of n-heptane fueled engine

H Taghavifar, H Taghavifar, A Mardani… - Journal of cleaner …, 2016 - Elsevier
The present investigation was carried out to assess the potential of applying Artificial Neural
Network (ANN) technique to the prediction of n-heptane fueled Direct Injection (DI) Diesel …