[HTML][HTML] Estimating energy consumption of battery electric vehicles using vehicle sensor data and machine learning approaches
W Achariyaviriya, W Wongsapai, K Janpoom… - Energies, 2023 - mdpi.com
Transport electrification, which entails replacing fossil fuel-powered engines with electric
drivetrains through the use of electric vehicles (EVs), has been identified as a potential …
drivetrains through the use of electric vehicles (EVs), has been identified as a potential …
[HTML][HTML] Energy consumption of electric vehicles: Analysis of selected parameters based on created database
Electric vehicles in a short time will make up the majority of the fleet of vehicles used in
general. This state of affairs will generate huge sets of data, which can be further …
general. This state of affairs will generate huge sets of data, which can be further …
Comparative analysis of artificial neural networks and dynamic models as virtual sensors
WK Yap, V Karri - Applied Soft Computing, 2013 - Elsevier
This paper presents a comparison of predictive models for the estimation of engine power
and tailpipe emissions for a 4kW gasoline scooter. This study forms a benchmark toward …
and tailpipe emissions for a 4kW gasoline scooter. This study forms a benchmark toward …
[HTML][HTML] Exhaust Emissions from Gasoline Vehicles with Different Fuel Detergency and the Prediction Model Using Deep Learning
R Zhang, H Chen, P Xie, L Zu, Y Wei, M Wang, Y Wang… - Sensors, 2023 - mdpi.com
Enhancing gasoline detergency is pivotal for enhancing fuel efficiency and mitigating
exhaust emissions in gasoline vehicles. This study investigated gasoline vehicle emission …
exhaust emissions in gasoline vehicles. This study investigated gasoline vehicle emission …
Vehicle's lightweight design vs. electrification from life cycle assessment perspective
Lightwiegh materials and vehicles' electrification are among the most viable and economic
solutions to improve fuel ecocnmoy of vehicles and reduce environmental impacts in the …
solutions to improve fuel ecocnmoy of vehicles and reduce environmental impacts in the …
[HTML][HTML] Neural network-based modeling of electric vehicle energy demand and all electric range
A deep neural network-based approach of energy demand modeling of electric vehicles
(EV) is proposed in this paper. The model-based prediction of energy demand is based on …
(EV) is proposed in this paper. The model-based prediction of energy demand is based on …
[HTML][HTML] Efficient management of energy consumption of electric vehicles using machine learning—A systematic and comprehensive survey
Electric vehicles are growing in popularity as a form of transportation, but are still underused
for several reasons, such as their relatively low range and the high costs associated with …
for several reasons, such as their relatively low range and the high costs associated with …
Can UK passenger vehicles be designed to meet 2020 emissions targets? A novel methodology to forecast fuel consumption with uncertainty analysis
Vehicle manufacturers are required to reduce their European sales-weighted emissions to
95 g CO 2/km by 2020, with the aim of reducing on-road fleet fuel consumption …
95 g CO 2/km by 2020, with the aim of reducing on-road fleet fuel consumption …
Energy assessment and greenhouse gas predictions in the automotive manufacturing industry in Iran
The automotive manufacturing industry responsible for a large share of fuel and electricity
consumption and is a major source of greenhouse gasses emission. Considering the Global …
consumption and is a major source of greenhouse gasses emission. Considering the Global …
Energy use and CO2 emissions reduction potential in passenger car fleet using zero emission vehicles and lightweight materials
Introduction of ZEVs (zero emission vehicles) and lightweight materials in a conventional
steel-intensive internal combustion engine vehicle fleet will affect energy consumption and …
steel-intensive internal combustion engine vehicle fleet will affect energy consumption and …