Machine learning applied to the NOx prediction of diesel vehicle under real driving cycle
Euro 6 standards impose stringent nitrogen oxide (NOx) emission limits on diesel cars. NOx
emissions are significantly different between Euro 6 diesel cars and the previous standards …
emissions are significantly different between Euro 6 diesel cars and the previous standards …
Density-based clustering multiple linear regression model of energy consumption for electric vehicles
Y Chen, M Huang, Y Tao - Sustainable Energy Technologies and …, 2022 - Elsevier
With the increasing popularity of electric vehicles, energy consumption has become a key
performance indicator for electric vehicle drivers, automakers and policy makers. Accurate …
performance indicator for electric vehicle drivers, automakers and policy makers. Accurate …
Predicting vehicle fuel consumption based on multi-view deep neural network
Y Li, IY Zeng, Z Niu, J Shi, Z Wang, Z Guan - Neurocomputing, 2022 - Elsevier
The problem of global warming is getting more serious, and vehicle emission is the main
cause. In recent years, the number of locomotives in China has been increasing at a rate of …
cause. In recent years, the number of locomotives in China has been increasing at a rate of …
[HTML][HTML] Super-learner model realizes the transient prediction of CO2 and NOx of diesel trucks: Model development, evaluation and interpretation
N Wei, Q Zhang, Y Zhang, J Jin, J Chang, Z Yang… - Environment …, 2022 - Elsevier
The transient simulation of CO 2 and NO X from motor vehicles has essential applications in
evaluating vehicular greenhouse gas emissions and pollutant emissions. However …
evaluating vehicular greenhouse gas emissions and pollutant emissions. However …
Electric vehicle charging demand forecasting using deep learning model
Greenhouse gas (GHG) emission and excessive fuel consumption have become a pressing
issue nowadays. Particularly, CO2 emissions from transportation account for approximately …
issue nowadays. Particularly, CO2 emissions from transportation account for approximately …
Fed-BEV: a federated learning framework for modelling energy consumption of battery electric vehicles
M Liu - 2021 IEEE 94th Vehicular Technology Conference …, 2021 - ieeexplore.ieee.org
Recently, there has been an increasing interest in the roll-out of electric vehicles (EVs) in the
global automotive market. Compared to conventional internal combustion engine vehicles …
global automotive market. Compared to conventional internal combustion engine vehicles …
Prediction of road-level energy consumption of battery electric vehicles
Predicting the energy consumption of electric vehicles (EVs) plays an essential role in many
EV planning and operation problems, such as route planning, eco-driving guidance, and …
EV planning and operation problems, such as route planning, eco-driving guidance, and …
Deep learning based carbon emissions forecasting and renewable energy's impact quantification
Global warming is one of the most challenging issues of the current era. Revolutions in
industrial, Information and Communication Technology (ICT) sectors significantly contribute …
industrial, Information and Communication Technology (ICT) sectors significantly contribute …
[HTML][HTML] Development of a cold-start emission model for diesel vehicles using an artificial neural network trained with real-world driving data
During the cold start and warm-up phase, modern vehicles emit considerable amounts of
pollutants due to the incomplete combustion and deteriorated performance of aftertreatment …
pollutants due to the incomplete combustion and deteriorated performance of aftertreatment …
Personal vehicles evaluated against climate change mitigation targets
Meeting global climate change mitigation goals will likely require that transportation-related
greenhouse gas emissions begin to decline within the next two decades and then continue …
greenhouse gas emissions begin to decline within the next two decades and then continue …